1. DISTRICT DOMESTIC PRODUCT OF KARNATAKA*

1. Introduction: The need to have relevant data for plan formulation at the district level has been increasingly felt with the shift of emphasis to decentralised planning. For planned development of a region, it is necessary to have a prior knowledge of the level of economic development of that region. In this context, the District income estimates assume much importance as an indicator of development. The taluk income estimates also bring to light the inter taluk variations in the economic development and help the planners to set priority in formulating development plans for each taluk, depending upon its level of backwardness. In order to meet these requirements, attempts were made by the Directorate of Economics and Statistics as early as in the sixties to compute the district income estimates for the year 1960-61 with available data at that point of time. Subsequently in the seventies and the eighties, these estimates were prepared for selected years. From 1990-91 and onwards, the estimates are being regularly prepared every year at current and constant (1980-81) prices as per provisional data base. Thus, the district income estimates with 1980-81 as base are available for 1980-81, 1985-86 and 1990-91 to 1996-97. The estimates for 1997-98 is prepared with 1993-94 as base at current and constant (1993-94) prices. The estimates at current prices reflects growth in output of goods and services including the effect of change in prices, while the estimates at constant prices reveal the actual growth in the output removing the effect of change in prices. In 1999-2000 series the District Income estimates were prepared for the years 1999-2000 to 2006-07. The same has been submitted to Central Statistical Office, Government of India. At present in the new 2004-05 series, district income estimates were prepared for the years from 2004-05 and 2008-09. 2. Initiatives taken in preparation of Taluk Income estimates: For preparation of Taluk Income Estimates two consultants were provided for each district under KSSSP project. During 2010-11, training programmes were conducted at State and District levels. During the training programme, the importance of Taluk Domestic Product has been explained. The importances of various indicators were explained for TDP estimates. The various indicators were collected by the consultants for the preparation of TDP. The same estimates were scrutinized by the officers of DES and final estimates were approved during May 2012. During this year preliminary estimates were prepared for the year 2009-10 by the District consultants. The reconciliation of these estimates are completed and the data is under scrutiny

Sri. U.R. Subramanya is presently working as Joint Director, SIP Division of Directorate of Economics and Statistics, GoK, Bangalore.

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3. Concept and definition: The District income is defined as the sum total of the economic value of all goods and services produced within the district, irrespective of the fact whether the income is owned by persons inside the taluk or outside. The estimates of District Domestic Product (DDP) also termed as District Income is compiled in a similar manner to the one being followed in the case of State Domestic Product (SDP). „Income originating‟ concept is used in working out DDP; although the estimates worked out on the basis of „Income accruing‟ concept is relatively better one. Income accruing concept is followed in the preparation of National Income estimates at all India level. 4. Measures relating to Income: Gross District Domestic Product (GDDP) represents the sum of economic value of all goods and services produced within the geographical boundary of the district after deducting the necessary inputs consumed in the process of production and Financial Intermediation Services Indirectly Measured (FISIM). From this Gross District Domestic Product, Consumption of Fixed Capital (CFC) is deducted to arrive at the Net District Domestic Product (NDDP) which is normally termed as District Income. The District income is divided by the mid year estimated population of the district to get the per capita income of that District. 5. Financial Intermediation Services Indirectly Measured (FISIM): The Banking Enterprises render services to their customers in the form of maintaining their accounts and providing them Banking services. In return for these services, customers are charged nominal amount which is substantially smaller considering the expenses of the banking enterprises, on the other hand, the banks provide loans and advances and returns on such transactions are much higher when compared to the payments made to depositors. This net return accruing to banks is large enough to meet their expenses and to earn a profit. If financial enterprises are treated like any other productive enterprise, their income in the production account would only be limited to the charges made on customers which would mean that the banks would have a negative operating surplus and most likely negative value added. To circumvent this difficulty, an imputed income equivalent to interest and dividend receipts of banking and financial enterprises net of interest paid to depositors is defined as FISIM (income earned for services rendered) and is entered as a receipt item in the output of the financial enterprises. The output of the financial enterprises thus includes interest received which was paid by the producing industries. As the interest paid by the industries is already accounted for in the Gross Value Added (GVA) of the respective industries, its inclusion in the GVA of Banking industry amounts to duplication. To avoid this duplication, FISIM is allocated to the user industries as an intermediate input.

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6. Consumption of Fixed Capital (CFC): Consumption of Fixed Capital, (CFC), also termed as „Depreciation‟ is defined as that part of the gross product which is required to replace the fixed capital used up in the process of production during the period of account. This flow is based on the concept of the expected economic life of the individual assets and is designed to cover the expected loss in value terms due to obsolescence and the normal amount of accidental damage which is not made good by repair as well as normal wear and tear. It is estimated from the value of fixed capital assets and the information on the ages of various types of assets. It is not possible to estimate the CFC unless the estimates of Gross Capital Formation (GCF) and Gross Capital Stock (GCS) are prepared. At present, the estimates of CFC for all sectors of the economy are supplied by CSO after preparing the same at the national level and allocated to the States. State level CFC is further allocated to the districts in proportion to the sectoral GVA. 7. Division of Economy into Sectors: For the purposes of estimation of district income, the economy is divided into the following sectors as in the case of state income estimates. Primary Sector: 1. Agriculture (including Livestock) 2. Forestry and Logging 3. Fishing 4. Mining and Quarrying. Secondary Sector: 5. Manufacturing a) Registered b) Un-registered. 6. Construction 7. Electricity, Gas and Water Supply Tertiary Sector: 8. Transport, Storage and Communication a) Railways b) Transport by other means c) Storage d) Communication 9. Trade, Hotels and Restaurants 10. Banking and Insurance 195

11. Real Estate, Ownership of Dwellings and Business Services, including legal services. 12. Public Administration 13. Other Services. Gross Domestic Product (GDP) is worked out first for all the above sectors individually and CFC is deducted to get Net Domestic Product (NDP) for that particular sector. However, in the case of Public Administration, NDP is worked out first and then CFC is added to get GDP. 8. Method of Estimation: The income estimates from the above mentioned sectors are worked out in any one or more of the following three methods. i) Production Approach: This approach involves evaluation of all the goods and services produced within the district during a period of time from which inputs and depreciation are deducted, to get the estimates of income. ii) Income Approach: The aggregate income in this method is viewed to have been distributed among the four factors of production viz., Land, Labour, Capital and Enterprises in the form of rent, wages, interest and profits. iii) Expenditure Approach: This approach is based on measurement of income at the stage of disposal. All that is produced is either ultimately consumed or a part of it is saved for future consumption or future production of goods and services. The money value of consumption expenditure plus the savings gives the Income. 9. Methodology for preparation of Taluk Income Estimates: The methodology for preparation of Taluk income estimates very much depends on availability of basic data at taluk level. There has been a feeling that the data base at the taluk level is far from satisfaction for estimation of income at the taluk level. Nevertheless, the data in respect of commodity producing sectors viz., Primary Sector and Manufacturing (Registered) Sector, is fairly sound, but appears to be very scanty in respect of remaining sectors. Therefore the taluk level data could be utilised to the extent of its availability to compute the taluk income estimates adopting the state level methodology. In the case of non commodity producing sectors, where the taluk wise basic data are not available, the State level estimates are allocated to the districts on the basis of suitable district wise indicators and in turn to the taluks with suitable indicator. Further, in some of the commodity producing sectors, though the taluk wise production data are available, the corresponding prices may not be available. In such cases, Taluk wise production and State average prices will have to be utilised for preparation of taluk income estimates. Apart from this, wherever certain ratios, norms, yield rates etc, are used for the State level

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estimates and which are normally not available at the district and taluk level, the State level ratios, yield rates etc, will have to be used for district/taluk income estimates. 10. Current and Constant Price Estimates: Like State Income estimates, District Income estimates are also prepared both at Current and Constant (2004-05) prices. The District Domestic Product estimates at Current prices are obtained by evaluating the goods and services produced during the year. As the estimates of District Domestic Product at current prices over a period do not reveal actual economic growth because it includes the combined effect of the changes in volume of goods and services and the changes in the prices of goods and services. In order to eliminate the effect of price changes, the estimates of District Domestic Product are prepared by evaluating the goods and services at the prices prevailing in the base year known as estimates at constant prices. The present base year is 2004-05. 11. Limitations: Apart from the primary sector the availability of District level data in respect of other sectors is not adequate. Attempts are being made continuosly to improve the District level data base, still a wide gap remains to be filled up, and wherever district level data gaps are there the Directorate has adopted proxy indicators to apportion the state income among the districts. As such it gives a broad indication about that sector in the district. The flowing tables briefs about different percapita income leves of the taluks. Table 1 Statement Showing different ranges of Per Capita Income (PCI) of Taluks 2008-09 2008-09 % share Sl. PCI Range 2004 - 2004-05 Current Constant Current Constant No (In Rupees) 05 % share Prices Prices Prices Prices 1 10000-30000 144 62 110 81.8 35.2 62.5 2 30000-60000 27 97 56 15.3 55.1 31.8 3 60000-80000 2 10 6 1.1 5.7 3.4 4 80000-100000 1 3 0.6 1.7 0.0 5 100000-150000 2 1 1 1.1 0.6 0.6 6 Above 150000 3 3 0.0 1.7 1.7 State Total 176 176 176 100.0 100.0 100.0 The above table explains that 97% of the taluks during 2004-05, 90% and 94 % of the taluks during 2008-09 at current and constant prices have registered per capita income in the range of Rs.10000 to Rs. 60000. 82% of the taluks during 2004-05, 35% and 63% of the taluks during 2008-09 at current and constant prices could be termed as highly poorer with a meagre income of Rs 197

30000. Another 15.3% during 2004-05, 55.1% and 31.8% of the taluks during 2008-09 at current and constant prices have recorded per capita income in the range of Rs. 30000 to Rs. 60000 which could also termed as very poor. In all about 90% of the taluks have recorded an average income of Rs.50 to Rs.165 per day which is very much meagre at the present standards of living. Anekal and Bangalore North during 2004-05, Sandur, Anekal and Bangalore North during 2008-09 at current and constant prices are found to be very well placed in comparison with the other taluks.The following chart highlights percapita income range of different taluks.

Figure - 1: Distribution of Taluk Per Capita Icnome

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T a40 l u k s

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0 of 10000 - 30000 30000 - 60000 60000 - 80000 80000 - 100000 100000 - Above 150000

150000

. Per Capita Income Ranges

2004-05 2008-09 Cu 2008-09 Co

No

It is evident from the graph that majority of the taluks fall in the income range of Rs.10000 to Rs. 60000 which can be termed as the reality of the state. Higher income groups are some of the outlayers found in the data range which will be generally very few. The trend of the distribution is quite similar in respect of 2004-05 and 2008-09 at current and constant prices. It explains that Pririty of Economic programes to be taken up to increase the percapita providing more employment in 62 taluks in 1st Priority, Subsequent priority 97 taluks.

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Table 2 Number of Taluks having Gross Per Capita income above and below State average for the year 2008-09 Above State Below State Sl. District Average Average Total Taluks No. (Rs. 53101) (Rs.53101) 1 Bagalkote 0(0) 6 (100) 6 2 Bangalore Urban 3(75) 1(25) 4 3 Bangalore Rural 3(75) 1(25) 4 4 Belgaum 0(0) 10(100) 10 5 Bellary 1(14) 6(86) 7 6 Bidar 0(0) 5(100) 5 7 Bijapur 0(0) 5(100) 5 8 Chamarajanagara 0(0) 4(100) 4 9 Chickballapur 0(0) 6(100) 6 10 Chickmagalur 1(14) 6(86) 7 11 Chitradurga 0(0) 6(100) 6 12 D.Kannada 4(80) 1(20) 5 13 Davanagere 0(0) 6(100) 6 14 Dharwad 3(60) 2(40) 5 15 Gadag 0(0) 5(100) 5 16 Gulbarga 0(0) 7(100) 7 17 Hassan 1(13) 7(87) 8 18 Haveri 0(0) 7(100) 7 19 Kodagu 3(100) 0(0) 3 20 Kolar 0(0) 5(100) 5 21 Koppal 0(0) 4(100) 4 22 Mandya 0(0) 7(100) 7 23 Mysore 1(14) 6(86) 7 24 Raichur 0(0) 5(100) 5 25 Ramanagar 1(25) 3(75) 4 26 Shivamoga 2(29) 5(71) 7 27 Tumkur 0(0) 10(100) 10 28 U.Kannada 1(9) 10(91) 11 29 Udupi 2(67) 1(33) 3 30 Yadgir 0(0) 3(100) 3 Total 26(15) 150(85) 176 (Figures in brackets reperesent percentage to total) As seen from the above table, 26 taluks have recorded per capita income exceeding the state average and 150 taluks are below during the year 2008-09. This implies that bulk of the taluks i.e. 85% of the taluks are below the state average income. The percapita income per month works out to be a mere Rs. 4425/-. 199

Table – 3 Number of Taluks having Per Capita Income above and below District average for the year 2008-09 Per Capita Sl. Below Above District Income District District Total No. (in Rs.) Average average 1 Bagalkote 33361 3 3 6 2 Bangalore 147250 2 2 4 3 Bangalore Rural 68731 1 3 4 4 Belgaum 35176 8 2 10 5 Bellary 60431 6 1 7 6 Bidar 25629 3 2 5 7 Bijapur 28823 3 2 5 8 Chamarajanagara 28328 3 1 4 9 Chickballapur 33234 4 2 6 10 Chickmagalur 40692 2 5 7 11 Chitradurga 34477 3 3 6 12 D.Kannada 74528 3 2 5 13 Davanagere 36523 4 2 6 14 Dharwad 59282 3 2 5 15 Gadag 34034 2 3 5 16 Gulbarga 29300 3 4 7 17 Hassan 34037 6 2 8 18 Haveri 29715 3 4 7 19 Kodagu 68965 2 1 3 20 Kolar 41219 3 2 5 21 Koppal 30107 3 1 4 22 Mandya 28987 4 3 7 23 Mysore 42382 6 1 7 24 Raichur 30286 3 2 5 25 Ramanagar 42320 2 2 4 26 Shimoga 45032 4 3 7 27 Tumkur 33883 7 3 10 28 U.Kannada 35742 7 4 11 29 Udupi 60171 1 2 3 30 Yadgir 41180 2 1 3 Karnataka 53101 106 70 176 The district averages of percapita income varies from Rs. 25629/- to Rs.147250/- which is a huge gap. Going by the district averages 60% of the taluks recorded income below the respective districts and remaining 40% are above the district average. The following table briefs about maximum and minimum taluk domestic product, District Rank, Percapta in Districts at current prices. 200

Table 4 Statement Showing Maximum and Minimum Per Capita Income (PCI) during 2008-09 at Current Prices Maximum Minimum District PCI (in Taluk Name Taluk Name PCI (in Rs.) Rs.) Bagalkote Bagalkote 52125 Jamkhandi 23710 Bangalore Bangalore Anekal 268480 east 42735 Bangalore Rural Doddaballapur 78876 Devanahalli 40093 Belgaum Belgaum 52013 Raibag 24679 Bellary Sandur 299344 Hadagali 22826 Bidar Bidar 34824 Aurad 18587 Bijapur Basavanbagevadi 35603 Muddebihal 22987 Chamarajanagara Yelandur 33266 Kollegal 27734 Chickballapur Chickkaballapur 47168 Shidlaghatta 26482 Chickmagalur Mudigere 61078 Kadur 26321 Chitradurga Chitradurga 43845 Challakere 23942 D.Kannada Mangalore 94716 Belthangadi 50267 Davanagere Davanagere 43879 Jagalur 27421 Dharwad Dharwad 119802 Kundgol 32758 Gadag Naragund 46362 Ron 22147 Gulbarga Jewargi 38726 Chittapur 20568 Hassan Arakalgudu 54653 C.R.Patna 21225 Haveri Shiggon 46090 Hanagal 21195 Kodagu Madikeri 90370 Somawarpet 54253 Kolar Mulabagal 50478 Kolar 35769 Koppal Koppal 40175 Yelburga 24353 Mandya Pandavapura 37182 Malavalli 25316 Mysore Mysore 55802 Piriapatna 26891 Raichur Manvi 39544 Lingasagur 23796 Ramanagar Ramangara 64012 Magadi 28805 Shivamogga Hosanagara 61405 Thirthahalli 31810 Tumkur Tumkur 49119 Koratagere 23372 U.Kannada Karwar 54850 Mundgod 26813 Udupi Karkala 73676 Kundapura 51765 Yadgir Shahapur 48599 Yadgir 35020

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Table-5 Statement Showing Maximum and Minimum Taluk Domestic Product during 2008-09 at Current Prices (Rs in Lakh) Sl Max Min District GDDP Rank Taluk Taluk No TDP TDP 1 Bagalkote 604015 15 Bagalkote 141269 Bilagi 58734 Bangalore 2 Bangalore 10550455 1 North 7286209 Bangalore East 527727 Bangalore 3 Rural 641057 13 Doddaballapur 223758 Devanahalli 81439 4 Belgaum 1624887 2 Belgaum 464954 Ramdurg 72885 Hagari 5 Bellary 1342684 4 Sandur 627209 Bommanalli 53569 6 Bidar 570830 17 Bidar 154788 Aurad 49972 7 Bijapur 422030 24 Bijapur 184458 Muddebihal 63904 Chamarajana Chamarajanag 8 gara 299763 29 ara 102614 Yelandur 28429 9 Chickballapur 418542 25 Chintamani 101162 Gudibande 18841 10 Chickmagalur 508845 21 Chickmagalur 164734 Sringeri 20649 11 Chitradurga 573597 16 Chitradurga 180933 Molkalmur 46985 12 D.Kannada 1550194 3 Mangalore 916525 Sullia 126323 13 Davanagere 716929 10 Davanagere 289777 Jagalur 47752 14 Dharwad 1042383 6 Dharwad 502003 Kundgol 56390 15 Gadag 362527 28 Naragund 154640 Mundargii 45558 16 Gulbarga 698393 11 Gulbarga 235202 Afzalpur 69489 17 Hassan 642291 12 Hassan 164423 Alur 26451 18 Haveri 468711 23 Ranebennur 98376 Byadagi 38299 19 Kodagu 414654 26 Virajpet 151542 Somawarpet 122449 20 Kolar 626657 14 Bangarpet 190146 Malur 85807 21 Koppal 394691 27 Koppal 138290 Yelburga 63094 22 Mandya 560353 18 Mandya 116499 Srirangapatanna 48001 23 Mysore 1226836 5 Mysore 635166 K.R.nagar 77340 24 Raichur 554276 19 Raichur 164795 Devdurga 61992 25 Ramanagar 478015 22 Ramangara 167227 Magadi 63907 26 Shivamogga 810716 8 Bhadravathi 212182 Thirthahalli 49930 27 Tumkur 959911 7 Tumkur 278153 Koratagere 41231 28 U.Kannada 530297 20 Karwar 88909 Supa 23724 29 Udupi 733536 9 Udupi 353374 Karkala 166025 30 Yadgir 169872 30 Shahapur 156347 Yadgir 125096

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Table-6 Sectoral share of Talukwise Gross District Domestic Product for the year 2008-09 at Curent Prices Percentage of Share District Taluk Primary Secodary Teritory Total Bagalkote 1 Badami 6.18 3.48 6.87 16.54 2 Bagalkote 6.61 4.01 12.77 23.39 3 Bilagi 4.11 1.28 4.33 9.72 4 Hungund 6.05 6.04 7.06 19.15 5 Jamkhandi 5.48 4.42 7.67 17.57 6 Mudhol 3.28 3.54 6.80 13.62 Total 31.71 22.77 45.52 100.00 Bangalore 7 Anekal 0.36 4.64 3.33 8.33 8 Bangalore North 0.55 24.97 43.54 69.06 9 Bangalore South 0.17 6.51 10.93 17.61 10 Bangalore East 0.12 1.25 3.63 5.00 Total 1.19 37.37 61.43 100.00 Bangalore Rural 11 Devanahalli 3.18 2.39 7.13 12.70 12 Doddaballapura 4.78 16.36 13.76 34.90 13 Hoskote 2.50 13.19 13.13 28.81 14 Nelamangala 2.11 9.24 12.23 23.58 Total 12.58 41.18 46.24 100.00 Belgaum 15 Athani 3.19 1.96 4.13 9.28 16 Bailahongal 2.28 1.53 3.17 6.99 17 Belgaum 2.08 11.30 15.23 28.61 18 Chikkodi 3.63 3.87 5.61 13.11 19 Gokak 2.98 3.32 5.05 11.34 20 Hukkeri 1.79 2.99 3.12 7.91 21 Khanapur 2.07 2.03 2.31 6.42 22 Raibag 2.14 0.73 2.92 5.79 23 Ramdurg 1.53 1.05 1.91 4.49 24 Savadatti 2.27 1.19 2.60 6.06 Total 23.97 29.97 46.06 100.00 Bellary 25 Bellary 3.04 6.36 11.98 21.38 26 Hadagali 1.13 0.33 1.67 3.13 27 Hagaribommana Halli 1.14 0.64 2.21 3.99 28 Hospet 1.52 3.46 7.50 12.48 29 Kudligi 1.28 0.66 3.20 5.14

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Percentage of Share District Taluk Primary Secodary Teritory Total 30 Sandur 31.56 4.23 10.93 46.71 31 Siruguppa 2.76 1.87 2.55 7.17 Total 42.43 17.54 40.03 100.00 Bidar 32 Aurad 3.35 1.92 6.57 11.84 33 Basavakalyan 4.65 4.14 11.59 20.39 34 Bhalki 4.74 1.63 7.71 14.08 35 Bidar 9.05 10.96 16.66 36.68 36 Humnabad 3.89 3.52 9.60 17.02 Total 25.68 22.18 52.14 100.00 Bijapur 37 Basvana Bagewadi 6.39 5.56 8.78 15.25 38 Bijapur 7.49 7.52 17.31 25.89 39 Indi 7.70 3.82 6.66 11.57 40 Muddebihal 3.33 2.71 5.16 8.34 41 Sindgi 8.38 1.68 7.52 10.39 Total 33.29 21.28 45.43 100.00 Chamarajanagara 42 Chamarajanagara 14.58 5.03 14.62 34.23 43 Gundalpet 9.95 2.93 9.18 22.06 44 Kollegala 14.22 6.42 13.58 34.22 45 Yelandur 3.55 2.15 3.78 9.48 Total 42.30 16.54 41.16 100.00 Chickballapur 46 Bagepalli 5.32 2.29 6.25 13.87 47 Chickballapur 6.71 5.55 11.34 23.61 48 Chintamani 6.48 6.08 11.61 24.17 49 Gouribidanur 6.39 4.45 9.56 20.40 50 Gudibande 1.91 0.58 2.01 4.50 51 Shidlaghatta 6.04 1.90 5.52 13.45 Total 32.85 20.86 46.29 100.00 Chickmagalur 52 Chickmagalur 13.40 4.39 14.58 32.37 53 Kadur 4.32 2.52 9.57 16.41 54 Koppa 3.95 1.23 4.34 9.52 55 Mudigere 9.35 3.28 5.98 18.60 56 NR Pura 2.41 1.27 2.62 6.30 57 Sringere 1.59 0.60 1.87 4.06 58 Tarikere 3.81 1.06 7.85 12.73 Total 38.83 14.36 46.81 100.00

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Percentage of Share District Taluk Primary Secodary Teritory Total Chitradurga 59 Challakere 3.14 3.99 3.51 10.64 60 Chitradurga 12.55 6.29 5.51 24.35 61 Hiriyur 4.91 3.16 4.14 12.21 62 Holalkere 4.93 1.31 2.45 8.69 63 Hosadurga 6.71 2.72 2.64 12.08 64 Molkalmur 1.54 2.55 1.78 5.87 Total 33.79 20.03 46.19 100.00 D.Kannada 65 Bantwal 3.87 2.84 3.51 10.22 66 Belthangadi 2.17 1.42 2.50 6.10 67 Mangalore 1.63 21.17 17.62 40.42 68 Puttur 1.44 2.00 3.19 6.63 69 Sullia 3.08 1.25 1.85 6.18 Total 12.19 28.68 59.13 100.00 Davanagere 70 Channageri 5.24 2.72 2.64 10.60 71 Davanagere 5.39 12.68 10.27 28.34 72 Harapanahalli 4.19 2.12 2.89 9.20 73 Harihar 4.64 3.07 3.04 10.75 74 Honnali 5.07 1.82 2.48 9.37 75 Jagalur 2.49 0.57 1.66 4.71 Total 27.02 22.97 50.00 100.00 Dharwad 76 Dharwad 2.21 9.87 6.49 18.57 77 Hubli 2.17 10.98 14.66 27.81 78 Kalghatgi 1.83 2.34 1.52 5.68 79 Kundgol 1.25 0.28 1.63 3.15 80 Navalgund 3.07 2.94 2.11 8.13 Total 10.53 26.41 63.06 100.00 Gadag 81 Gadag 4.90 12.46 10.70 28.06 82 Mundaragi 5.97 1.17 2.30 9.43 83 Naragund 6.39 1.05 2.35 9.79 84 Ron 1.88 4.53 4.30 10.71 85 Shirahatti 2.43 4.10 3.67 10.20 Total 21.58 23.31 55.12 100.00 Gulbarga 86 Afzalpur 3.04 3.17 2.24 8.46 87 Aland 2.69 3.06 3.22 8.97 88 Chincholli 2.95 1.27 2.66 6.89

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Percentage of Share District Taluk Primary Secodary Teritory Total 89 Chittapur 1.86 3.39 3.96 9.21 90 Gulbarga 3.06 11.72 11.36 26.14 91 Jewargi 2.27 4.87 4.30 11.44 92 Sedam 2.76 3.05 2.80 8.61 Total 18.64 30.54 50.82 100.00 Hassan 93 Alur 0.91 0.67 0.99 2.57 94 Arakalagudu 8.13 3.28 2.83 14.25 95 Aresikere 2.85 3.05 3.49 9.39 96 Sakaleshpur 1.80 2.47 1.29 5.56 97 Hassan 9.68 4.68 4.40 18.75 98 C.R.Patna 1.12 2.69 2.45 6.26 99 H.N.pura 1.08 2.27 2.60 5.95 100 Belur 1.92 1.29 2.34 5.55 Total 27.49 20.39 52.12 100.00 Haveri 101 Byadgi 2.85 1.23 1.80 5.88 102 Hanagal 4.15 1.21 2.68 8.04 103 Haveri 4.99 2.81 4.37 12.17 104 Hiregerur 6.85 1.56 3.10 11.52 105 Ranebennur 7.59 3.99 4.15 15.72 106 Savanur 3.10 1.02 1.82 5.94 107 Shiggaon 4.57 8.33 2.23 15.13 Total 34.10 20.15 45.75 100.00 Kodagu 108 Madikeri 14.72 4.82 3.58 23.11 109 Somavarpet 12.45 2.99 3.50 18.94 110 Virajpet 19.88 2.74 3.46 26.08 Total 47.04 10.55 42.41 100.00 Kolar 111 Bangarpet 3.89 14.32 7.88 26.09 112 Kolar 5.35 3.65 8.07 17.07 113 Malur 3.46 3.35 4.47 11.28 114 Mulabagal 8.00 5.43 4.53 17.97 115 Srinivaspura 7.94 1.33 3.14 12.41 Total 28.64 28.09 43.27 100.00 Koppal 116 Koppal 7.37 11.91 9.29 28.57 117 Gangavti 6.88 8.80 8.61 24.30 118 Kustagi 9.25 2.49 4.09 15.83 119 Yelburga 7.09 2.54 3.75 13.37 Total 30.58 25.74 43.68 100.00

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Percentage of Share District Taluk Primary Secodary Teritory Total

Mandya 120 K R Pet 6.89 4.24 2.93 14.05 121 Maddur 3.96 4.69 3.29 11.93 122 Malavalli 5.24 3.46 2.98 11.68 123 Mandya 6.81 4.52 5.37 16.69 124 Nagamangala 6.53 1.54 2.93 11.00 125 Pandavpura 4.58 3.07 2.88 10.53 126 Srirangapatanna 2.75 1.38 2.52 6.65 Total 36.75 22.89 40.36 100.00 Mysore 127 H.D. kote 2.64 1.64 1.46 5.73 128 Hunsur 2.53 2.31 2.19 7.04 129 K.R.nagar 1.78 1.67 1.61 5.06 130 Mysore 1.68 16.03 19.25 36.96 131 Nanjangud 2.43 4.04 2.86 9.33 132 Piriapatna 2.29 0.79 1.31 4.38 133 T.narasipura 1.78 4.17 1.97 7.91 Total 15.13 30.64 54.23 100.00 Raichur 134 Devdurga 4.70 2.01 2.03 8.74 135 Manvi 12.74 4.17 4.06 20.97 136 Lingsugur 6.23 1.74 3.24 11.20 137 Raichur 4.88 9.76 6.84 21.48 138 Sindhnur 7.87 2.16 3.67 13.69 Total 36.41 19.84 43.75 100.00 Ramanagar 139 Channapatna 13.33 3.02 5.50 21.85 140 Kanakapura 4.49 3.38 6.80 14.68 141 Magadi 3.50 1.65 3.69 8.84 142 Ramanagar 3.06 15.37 7.43 25.86 Total 24.39 23.42 52.19 100.00 Shimoga 143 Bhadravathi 8.75 7.96 5.61 22.33 144 Hosanagara 2.07 2.11 3.19 7.36 145 Sagara 4.84 2.48 3.22 10.55 146 Shikaripura 1.71 2.32 3.17 7.20 147 Shivamogga 2.19 9.73 7.73 19.65 148 Soraba 5.51 1.61 2.34 9.46 149 Thirthahalli 1.63 1.10 2.04 4.76 Total 26.70 27.31 45.99 100.00

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Percentage of Share District Taluk Primary Secodary Teritory Total

Tumkur 150 C.N.halli 1.94 1.43 2.86 6.23 151 Gubbi 6.75 1.03 3.19 10.97 152 Koratagere 1.45 0.47 2.38 4.30 153 Kunigal 2.87 2.56 3.99 9.41 154 Madhugiri 3.37 1.72 3.64 8.73 155 Pavagada 3.35 2.23 3.27 8.85 156 Sira 3.15 1.75 3.80 8.69 157 Tiptur 1.84 2.17 4.35 8.37 158 Tumkur 3.50 11.61 13.87 28.98 159 Turuvekere 1.45 1.32 2.71 5.48 Total 29.66 26.30 44.05 100.00 Udupi 160 Kundapura 7.97 8.59 12.64 29.19 161 Karkala 4.51 6.62 11.50 22.63 162 Udupi 9.23 13.99 24.96 48.17 Total 21.71 29.19 49.10 100.00 U.Kannada 163 Ankola 1.40 0.87 3.96 6.24 164 Bhatkal 1.40 2.14 4.87 8.40 165 Haliyal 1.53 2.74 4.87 9.15 166 Honnavar 1.91 2.49 5.87 10.27 167 Karwar 1.77 4.19 10.80 16.77 168 Kumta 1.74 2.52 4.81 9.07 169 Mundgod 0.76 1.93 2.33 5.03 170 Siddapur 2.12 3.67 3.57 9.36 171 Sirsi 3.89 2.61 9.59 16.08 172 Supa 1.00 1.29 2.18 4.47 173 Yellapur 1.37 0.73 3.06 5.16 Total 18.91 25.16 55.93 100.00 Yadgir Yadgir 174 Shahapur 15.71 7.45 13.07 36.23 175 Shorapur 13.79 8.87 12.12 34.79 176 Yadgir 8.10 6.71 14.17 28.99 Total 37.60 23.04 39.36 100.00 State Total 17.80 29.20 52.99 100.00

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Table-7 Talukwise Gross District Domestic Product for the year 2008-09 at Curent Prices (Rs.Lakhs)

Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

Bagalkote 1 Badami 37350 21037 41515 99902 31223 2 Bagalkote 39930 24198 77141 141269 52125 3 Bilagi 24800 7751 26183 58734 37738 4 Hungund 36553 36466 42666 115685 36765 5 Jamkhandi 33081 26720 46341 106142 23710 6 Mudhol 19830 21356 41096 82283 27282 Total 191544 137528 274942 604015 33361 Bangalore Urban 7 Anekal 37725 489692 351049 878466 268480 8 Bangalore North 57730 2634414 4594065 7286209 231965 9 Bangalore South 17860 686838 1153354 1858052 75474 10 Bangalore East 12308 132279 383140 527727 42735 Total 125624 3943223 6481608 10550455 147250 Bangalore Rural 11 Devanahalli 20413 15333 45694 81439 40093 12 Doddaballapura 30647 104905 88206 223758 76081 13 Hoskote 16003 84530 84140 184672 75749 14 Nelamangala 13555 59238 78394 151187 78876 Total 80617 264006 296434 641057 68731 Belgaum 15 Athani 51859 31802 67174 150835 29796 16 Bailahongal 37078 24906 51540 113524 29071 17 Belgaum 33873 183642 247439 464954 52013 18 Chikkodi 59040 62881 91168 213089 34252 19 Gokak 48413 53873 82053 184339 31969 20 Hukkeri 29159 48618 50725 128502 32823 21 Khanapur 33676 33065 37583 104324 39140 22 Raibag 34709 11826 47490 94025 24679 23 Ramdurg 24875 17038 30972 72885 29241 24 Savadatti 36827 19364 42218 98410 28806 Total 389509 487015 748362 1624887 35176

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

Bellary 25 Bellary 40825 85361 160914 287100 41877 26 Hadagali 15230 4464 22367 42061 22826 Hagari Bommana 27 Halli 15281 8613 29675 53569 30568 28 Hospet 20463 46403 100658 167524 40764 29 Kudligi 17122 8895 42951 68967 23118 30 Sandur 423749 56754 146706 627209 299344 31 Siruguppa 37007 25063 34183 96253 37315 Total 569678 235553 537454 1342684 60431 Bidar 32 Aurad 14139 8094 27739 49972 18587 33 Basavakalyan 19633 17489 48916 86039 26174 34 Bhalki 19990 6864 32558 59412 21088 35 Bidar 38184 46275 70330 154788 34824 36 Humnabad 16421 14874 40524 71819 22243 Total 108367 93596 220067 422030 25629 Bijapur Basvana 37 Bagewadi 36495 31714 50144 118353 35603 38 Bijapur 42737 42931 98790 184458 29559 39 Indi 43975 21790 38021 103786 26750 40 Muddebihal 18988 15450 29466 63904 22987 41 Sindgi 47814 9607 42907 100328 28022 Total 190010 121492 259328 570830 28823 Chamarajanagara 42 Chamarajanagara 43702 15081 43832 102614 27734 43 Gundalpet 29828 8787 27515 66130 28315 44 Kollegala 42630 19259 40701 102590 27788 45 Yelandur 10645 6454 11330 28429 33266 Total 126805 49581 123378 299763 28328 Chickballapur 46 Bagepalli 22283 9603 26171 58057 31216 47 Chickballapur 28087 23246 47474 98807 47168 48 Chintamani 27114 25449 48599 101162 34022 49 Gouribidanur 26732 18638 40004 85375 28730

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

50 Gudibande 8014 2427 8398 18841 33167 51 Shidlaghatta 25281 7936 23083 56300 26482 Total 137511 87299 193729 418542 33234 Chickmagalur 52 Chickmagalur 68175 22345 74214 164734 50851 53 Kadur 21992 12808 48690 83490 26321 54 Koppa 20085 6277 22093 48455 50363 55 Mudigere 47571 16694 30404 94669 61078 56 NR Pura 12249 6486 13337 32071 44578 57 Sringere 8107 3030 9512 20649 51013 58 Tarikere 19409 5405 39962 64776 26364 Total 197589 73045 238212 508845 40692 Chitradurga 59 Challakere 18034 22864 46414 87312 23942 60 Chitradurga 71983 36102 72848 180933 43845 61 Hiriyur 28164 18151 54708 101023 34818 62 Holalkere 28255 7518 32469 68242 31482 63 Hosadurga 38502 15618 34981 89101 37045 64 Molkalmur 8856 14619 23510 46985 33823 Total 193795 114872 264930 573597 34477 D.Kannada 65 Bantwal 59976 43977 112307 216260 54572 66 Belthangadi 33693 22070 80044 135807 50267 67 Mangalore 25270 328124 563131 916525 94716 68 Puttur 22271 31027 101980 155279 53245 69 Sullia 47701 19401 59221 126323 81882 Total 188911 444599 916683 1550194 74528 Davanagere 70 Channageri 37585 19501 41216 98302 30662 71 Davanagere 38628 90929 160220 289777 43879 72 Harapanahalli 30075 15169 45037 90281 30644 73 Harihar 33263 21976 47487 102726 38153 74 Honnali 36376 13050 38666 88092 36107 75 Jagalur 17822 4082 25848 47752 27421 Total 193748 164707 358474 716929 36523 Dharwad

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

76 Dharwad 23072 102853 161592 287517 119802 77 Hubli 22630 114471 364902 502003 50079 78 Kalghatgi 19066 24364 37742 81172 54051 79 Kundgol 12991 2918 40481 56390 32758 80 Navalgund 32017 30682 52603 115302 59552 Total 109775 275288 657320 1042383 59282 Gadag 81 Gadag 17754 45187 91700 154640 42495 82 Mundaragi 21652 4229 19677 45558 35737 83 Naragund 23173 3791 20131 47095 46362 84 Ron 6823 16424 36867 60114 22147 85 Shirahatti 8818 14865 31437 55120 27452 Total 78219 84496 199812 362527 34034 Gulbarga 86 Afzalpur 21259 22144 26086 69489 35208 87 Aland 18805 21369 37413 77587 23823 88 Chincholli 20616 8883 30957 60456 24663 89 Chittapur 12977 23702 46013 82692 20568 90 Gulbarga 21357 81851 131994 235202 31759 91 Jewargi 15880 34035 49941 99856 38726 92 Sedam 19309 21290 32511 73111 34006 Total 130203 213274 354915 698393 29300 Hassan 93 Alur 5821 4305 16325 26451 28038 94 Arakalagudu 52241 21093 46446 119780 54653 95 Aresikere 18303 19565 57296 95164 28651 96 Sakaleshpur 11591 15882 21099 48572 32986 97 Hassan 62156 30043 72224 164423 41538 98 C.R.Patna 7178 17263 40256 64697 21225 99 H.N.pura 6961 14570 42611 64143 33394 100 Belur 12312 8259 38492 59063 29325 Total 176563 130980 334748 642291 34037 Haveri 101 Byadgi 13366 5744 19189 38299 27311 102 Hanagal 19442 5682 28482 53606 21195 103 Haveri 23383 13179 46536 83098 30044

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

104 Hiregerur 32123 7330 32976 72429 31103 105 Ranebennur 35553 18690 44133 98376 29429 106 Savanur 14546 4772 19351 38669 24520 107 Shiggaon 21430 39038 23765 84233 46090 Total 159843 94435 214434 468711 29715 Kodagu 108 Madikeri 61018 19985 59660 140663 90370 109 Somavarpet 51626 12394 58429 122449 54253 110 Virajpet 82424 11347 57772 151542 68914 Total 195068 43726 175861 414654 68965 Kolar 111 Bangarpet 24365 89754 76027 190146 41165 112 Kolar 33526 22879 77908 134313 35769 113 Malur 21659 21013 43135 85807 37818 114 Mulabagal 50156 34047 43769 127972 50478 115 Srinivaspura 49784 8345 30289 88418 43671 Total 179491 176038 271128 626657 41219 Koppal 116 Koppal 29077 47025 62188 138290 40175 117 Gangavti 27163 34740 57679 119582 26850 118 Kustagi 36491 9824 27411 73726 28105 119 Yelburga 27966 10012 25116 63094 24353 Total 120696 101601 172394 394691 30107 Mandya 120 K R Pet 38595 23753 28900 91248 33536 121 Maddur 22171 26295 32450 80916 25388 122 Malavalli 29367 19369 29460 78196 25316 123 Mandya 38139 25317 53042 116499 26205 124 Nagamangala 36579 8612 28981 74172 35473 125 Pandavpura 25681 17205 28436 71322 37182 126 Srirangapatanna 15409 7731 24862 48001 25539 Total 205941 128282 226131 560353 28987 Mysore 127 H.D. kote 32398 20094 31605 84097 31199 128 Hunsur 31088 28376 47535 106999 38445 129 K.R.nagar 21840 20440 35060 77340 29499

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

130 Mysore 20624 196659 417883 635166 55802 131 Nanjangud 29771 49608 62073 141452 35827 132 Piriapatna 28059 9636 28402 66097 26891 133 T.narasipura 21794 51117 42775 115686 37830 Total 185573 375930 665333 1226836 42382 Raichur 134 Devdurga 26028 11147 24817 61992 25425 135 Manvi 70592 23114 49635 143341 39544 136 Lingsugur 34510 9651 39571 83732 23796 137 Raichur 27054 54100 83641 164795 34534 138 Sindhnur 43609 11957 44849 100416 25437 Total 201793 109969 242513 554276 30286 Ramanagar 139 Channapatna 63742 14431 58582 136755 49399 140 Kanakapura 21476 16179 72472 110127 29796 141 Magadi 16707 7894 39306 63907 28805 142 Ramanagar 14646 73454 79127 167227 64012 Total 116570 111958 249487 478015 42320 Shimoga 143 Bhadravathi 70953 64562 76667 212182 57107 144 Hosanagara 16752 17100 43547 77399 61405 145 Sagara 39272 20102 44002 103375 46925 146 Shikaripura 13890 18818 43291 75999 32463 147 Shivamogga 17772 78843 105574 202189 41436 148 Soraba 44665 13033 31944 89642 44072 149 Thirthahalli 13177 8911 27842 49930 31810 Total 216480 221369 372867 810716 45032 Tumkur 150 C.N.halli 18616 13768 27412 59796 26026 151 Gubbi 64806 9845 30641 105292 37465 152 Koratagere 13907 4515 22809 41231 23372 153 Kunigal 27522 24576 38264 90362 34929 154 Madhugiri 32303 16539 34912 83754 28740 155 Pavagada 32170 21381 31414 84965 31479 156 Sira 30237 16771 36430 83438 25251 157 Tiptur 17691 20876 41779 80347 33762

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Per capita District Taluk Primary Secondary Teritory Total Income (in Rs.)

158 Tumkur 33555 111430 133168 278153 49119 159 Turuvekere 13871 12711 25993 52575 27521 Total 284676 252412 422822 959911 33883 Udupi 160 Kundapura 58430 62990 92716 214136 51765 161 Karkala 33095 48550 84380 166025 73676 162 Udupi 67710 102607 183058 353374 60920 Total 159236 214147 360154 733536 60171 U.Kannada 163 Ankola 7450 4634 21019 33104 29742 164 Bhatkal 7408 11322 25818 44547 27216 165 Haliyal 8138 14548 25826 48511 27812 166 Honnavar 10111 13205 31142 54457 30989 167 Karwar 9412 22201 57296 88909 54850 168 Kumta 9248 13341 25498 48087 30086 169 Mundgod 4047 10240 12380 26667 26813 170 Siddapur 11260 19439 18940 49639 44899 171 Sirsi 20615 13817 50857 85289 44326 172 Supa 5320 6818 11586 23724 44251 173 Yellapur 7256 3859 16247 27362 33966 Total 100265 133424 296608 530297 35742 Yadgir 174 Shahapur 67789 32169 56390 156347 48599 175 Shorapur 59523 38300 52308 150131 40675 176 Yadgir 34962 28960 61174 125096 35020 Total 162274 99429 169872 431575 41180 State Total 5476376 8983274 16299999 30759652 53101

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12. Data Gaps and Solutions: It can be observed from the table 7 that the development or concentration of economic activities with in the district is not homogeneous. The computation of taluk wise domestic product is a first attempt to have the taluk wise data base and compare with the other taluks. It has been observed that the data on forestry and mining is not homogeneously available at the taluk level. In many districts the taluk wise production of major and minor forest produces are not available, if available, the taluk wise total does not tally with the district figures available with the State Income unit. In such cases the area under the forest (from ASCR or DAG) is used to allocate the district wise value of output. Zilla Panchayats should make an attempt to have uniform data. The highest taluk per capita income is originating from Sandur taluk of Bellary district for the year 2008-09. This is due to presence of high valued Iron ore in the mining sector. The data on production and value of major and minor minerals at taluk level is very scanty across all the district It has been observed that the data required for computation of domestic product was not provided by the mines and geology department at district level, if available, the taluk wise total does not tally with the district figures available with the State Income unit which is collected from the Indian Bureau of Mines, Nagpur. The mines and geology department should provide some data base on mining statistics as it earns royalty for the state. The Economic cum Purpose Classification of local body annual accouts will yield many results which are essential in computaion of taluk wise domestic product. This activity requires more attention from Zilla Panchayats. This analysis also through light on the priority areas of the local bodies. It also provides amount which has been spent to create capital asset in the economy which will create more employment opportunities at the local level. This analysis presents the financial health of the respective local body. The computation of Domestic Product at taluk level requires data on many indicators. The data for Agriculture, Fishing, Forestry and Mining are fairly available. For the sectors under Secondary and Tertiary the data on employment and value added per worker is required but the surveys conducted by the NSSO does not represent all economic activities and all the taluks in State. Due to this, the secondary and tertiary sectors district income values are allocated to the taluks in proprotion to the relevant or suitable indicators. Hence the computation of taluk wise domestic product is restricted to the primary sectors only. The rest is based on the allocation method. To fill this gap in computation of domestic product, the DES Karnataka, is preparing taluk wise Common Business Register (CBR) comprising all economic activities in the respective taluks. Micro level survey of organised and un-organised sectors under each industry at taluk level will be undertaken under 13th Finance Commission Grants. Workforce will be derived from CBRs for each industry and Survey results will be useful for compiling

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Value Added Per Worker. From this data taluk level base year estimates will be computed. These estimates will be used for compilation of DDP and SDP estimates in future. In this direction the role of Local bodies especially the Zilla Panchayats forms a crutial role. Under KSSSP the computation of DDP, Local Body Contribution activities are the responsibilities of ZP. To assist the ZP in this regard, KSSSP has provided two consultants to each ZP. The analysis of taluk wise domestic product and priority areas in the expenditure will form a tool to redress the regional imbalance as well as to identify the areas to improve at the taluk level. *******

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2. 6th Economic Census, 2012-2013* Introduction: Reliable and accurate data base is most essential for any economic planning process of the country. Micro level data play an important role in this process. But the non-availability of such a micro level data, that too in the unorganized sector, is defeating the very purpose of making the planning process more effective and practicable. To bridge this gap, the Bowley Robertson Committee recommended a study as early as in 1934 to explore the possibilities of conducting Economic Census in India. Economic Census (EC) is the complete count of all establishments/units located within the geographical boundaries of the country involved in any economic activity both in agriculture (excluding crop production and plantation) and non-agriculture sectors of the economy. The first Economic Census was conducted in 1977, second in 1980, third in 1990, fourth in 1998, fifth in 2005. So far five ECs have been undertaken under the aegis of the Central Statistics Office (CSO), Ministry of Statistics & Programme Implementation(MOSPI), Govt. of India. The Sixth Economic Census will be conducted during 2012-2013. The 6th Economic Census will be conducted under Collection of Statistics Act 2008 in the whole of Indian Union except some areas that may remain inaccessible throughout the year and/or where State/UT Government find it impossible to collect the information. Coverage: All establishments/units engaged in production or distribution of goods or services other than for the sole purpose of own consumption will be counted. All establishments engaged in agricultural and non-agricultural activities will be covered. However, in case of agriculture, establishments engaged in crop production and plantation growing of non- perennial and perennial crops will not be covered. In case of non-agriculture, establishments engaged in public administration, defence, compulsory social security, activities of households as employers of domestic personnel, activities of territorial organizations and bodies and gambling & betting activities (which are declared illegal), would not be covered during Sixth EC. Census Period: The Government of India has planned to conduct the fieldwork of Sixth EC in the whole country between September 2012 to June 2013. In Karnataka, the field work is planned during the months of April & May 2013.

* Sri. D. Jayaram, JD, Economic Census

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Schedules: For the purpose of 6th Economic Census, three different schedules have been designed by the MoSPI. The information during the 6th Economic Census would be collected during field visit through two main schedules namely (i) Schedule 6A: House and Establishment Listing Schedule and (ii) Schedule 6C: Directory of Establishment Schedule. The third schedule, namely the Schedule 6B: Establishment Abstract, will be prepared from the entries contained in the House and Establishment Listing Schedule (Schedule 6A). Printing of the above three Schedules in the regional language and supply of required number of Schedules will be done by the MOSPI directly to the State. Primary Unit: The Population Census 2011 village is the primary unit of Economic Census operation in rural areas, whereas it is a ward in urban areas. The ultimate area unit of enumeration for the purpose of canvassing the schedules is Enumeration Block (EB) of Population Census, 2011 for both rural and urban areas. Thus, for each EB, three schedules are to be filled independently. An EB broadly covers about 120 households or a population of nearly 600 or so. EBs less than 50 households will be clubbed to arrive nearly 120 households to make one EB Records Used during Field Work: In order to ensure complete coverage, it would be necessary to locate and identify each and every house in the EB. Therefore it would be essential for enumerator to go round the EB and become familiar with its boundaries, land marks and location of houses with the help of Layout Map (LOM) and Abridged House list (AHL) of Population Census 2011. Xerox copies of the Layout Maps and Abridged House list for all the enumeration blocks in the State are being supplied by the Directorate of Census Operation, Karnataka for the use in the Economic Census for the first time. The layout Map (LM) provides the identification particulars i.e., names and codes of state, district, Tahsil/Taluk/PS/Dev. Block/Circle/Mandal, Town/ village, ward and enumeration block. It also provides a map indicating the boundaries and land marks of the EB, location of each house, purpose for the use of census house such as residential and non residential, along with a distinct Census house number. The Abridged Houselist (AHL) of Population Census 2011, provides the identification particulars i.e., names and codes of State, district, Tahsil/Taluk/PS/Dev. Block/Circle/ Mandal, Town/ village, ward and enumeration block. It also provides House- list particulars such as EB number, Census House Number, purpose for which census house is used, Household number, Name of the Head of Household, Population of EB, Number of residential houses and Total number of households. Both these documents will help in complete coverage of the EB. At the time of listing care should be taken not to miss any

219 household featuring in the AHL. Further, it needs to be ensured to include the new households/houses that may have come up after the fieldwork of Population Census 2011. Guide for Field Functionaries: For thorough understanding of the concepts, definitions and instructions and on their faithful application while canvassing various schedules, booklet in Kannada, containing the concepts and definitions to be followed in the fieldwork and explanations of various terms involved will be given to all the field workers and supervisors. Committees: As per the guidelines of Ministry of Statistics & Programme Implementation(MOSPI), following Committees have been formed for the smooth conduct & effective monitoring of the census work and relevant Government Orders have been issued. (a) State Level Steering Committee under the Chairmanship of the Chief Secretary with 18 members and the Director, DES is the Member Secretary. (b) Bruhat Bangalore Mahanagara Palike (BBMP) Level Monitoring Committee under the chairmanship of the Commissioner, BBMP, Bangalore with 14 members and the Joint Director (Statistics), BBMP is the Member Secretary. (c) BBMP Zonal Level Monitoring Committees under the chairmanship of the Head of the Zone, BBMP, Bangalore with 9 members and the Deputy Commissioner, 8 Zones of BBMP being the Member Secretary. (d) Other City Corporation Level Monitoring Committees under the chairmanship of the Commissioner of the respective City Corporations with 9 members and the Manager/Shiresthedar of District City Corporation being the Member Secretary. (e) District Level Monitoring Committee under the Chairmanship of the Deputy Commissioner with 16 members and DSO is the Member Secretary. (f) Taluk Level Monitoring Committee under the Chairmanship of the Tahasildar with 4 members and the Shiresthedar is the Member Secretary. Manpower Requirement: Conducting the Economic Census is a gigantic task before the Directorate which involves a very large number of field functionaries both at the enumeration, supervision and monitoring levels. In the State, there are 126623 enumeration blocks for which 50649 enumerators, 21103 supervisors and 727 charge officers are needed at the field level apart from quite a good number of officers at the administrative levels. Updating of CBR: The latest information pertaining to every establishment listed in Common Business Register prepared based on the data already existing with the departments will be collected

220 during the census field work and updated accordingly. For the purpose of collecting this information pre printed schedules will be used during the field work in order to avoid delay in collecting information. Creation of a Division and Staffing Pattern: For carrying out the 6th Economic Census in the State, separate Economic Census Division is created in the head office of the Directorate of Economics & Statistics headed by the Joint Director assisted by one Deputy Director, two Assistant Statistical Officers, four Statistical Inspectors, One Stenographer and one Typist. Financial Allocation: 6th Economic Census is 100% funded by Government of India and a sum of ` 3276.16 lakhs is earmarked for the State to carry out the census. About 92% of the funds are allocated for the purpose of payment of honorarium and TA/DA to the field functionaries. Usefulness of the Census: The information collected is useful to know the sector-wise number of establishments/enterprises with its manpower. Used for the calculation of GSDP at the taluk/district/state level. To prepare the sampling frame needed for conducting the sector specific sample surveys for the collection of data. *****

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2b. Common Business Register – An Experience of Karnataka State*

Introduction: In order to take important policy decisions for the economic development both at the national and state level various surveys need to be undertaken under different sectors from time to time. For this, exhaustive list of establishments carrying out economic activity in manufacturing, sales/ distribution, service sectors is not available both at the national and state level. The only list available at present is the list of enterprises/establishments registered under section 2m(i) and 2m(ii) of the Factories Act, 1948 involved in manufacturing and repair activities. Keeping this in mind, Government of India has decided to prepare the comprahensive list of Acts & Rules under which enterprises have to register along with the list of registering authorities in various departments at different levels. Also to prepare a list of enterprises, both in organised and un-organised sectors, involved in manufacturing of goods, its sales/distribution and/or services. Government of India decided to have a scheme called “Strengthening of State & District Statistical System” under India Statistical Strengthening Project(ISSP) from the year 2011-12. Ministry of Statistics & Programme Implementation, GOI has provided financial assistance under 13th Finance Commission Grants to all the States for taking up various statistical activities under this scheme. Rupees One crore is provided to each district under this scheme in Karnataka and a sum of ` 29.00 crores has been granted for the purpose for implementation during four years period commencing from 2011-12 to 2014-15. “Preparation of Common Business Register” is one such activity listed among various statistical activities taken up in the State under the above grants through the Karnataka State Statistical Strengthening Project(KSSSP), which is a monitoring agency of the above activities. Financial Grants: For the purpose of the preparation of Common Business Register in the state a sum of ` 1730.75 lakhs is earmarked out of ` 29.00 crores granted under the “Strengthening of State & District Statistical System” scheme, which accounted for 59.69% of the total grants. Component-wise allocation of grants are as follows:

* Sri. D. Jayaram, JD, Economic Census

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Sl.No. Component Amount (` in lakhs) % share 1 Creation of Cell/Staff Salary 17.70 1.02 2 Computerisation of registered legal entities 50.00 2.89 & collection of data 3 Printing of CBR 95.00 5.49 4 Hardware & Software 23.15 1.34 5 Focused Activities 613.00 35.42 (a) Labour Department 249.00 40.62 (b) Factories & Boilers Department 64.00 10.44 (c) Agriculture Marketing Dept. 300.00 48.80 6 Updating of CBR during 6th Eco.Cen 810 46.80 7 Micro level survey on organized sector 9.20 0.53 8 Micro level survey on un-organized sector 104.80 6.06 9 Contingency expenditure 7.90 0.45 TOTAL 1730.75 100.00

Business Register Cell & Staffing Pattern: For the preparation of Common Business Register, a separate cell has been created called “Common Business Register Cell” in the Economic Census Division of the Directorate of Economics & Statistics. The cell in working under the Joint Director(Economic Census) assisted by the Deputy Director(Economic Census), who are the regular staff and One Consultant & two assistants are working on outsource basis in the Business Register Cell. Milestone Set: Milestones have been set for the release of grants for the preparation of Common Business Register. Following are the milestones set: (a) 2nd milestone set: Preparation of the list of State/District/Taluk registering authorities meant for registration of legal entities under different Acts in the departments with details such as the designation of the officer responsible for registration, complete official address, telephone & fax numbers, e-mail id, Acts under which registration done etc, Listing of statutory information collected at the time of registration, etc, Development of data base in electronic form for consolidation of information of registered establishments registered under different Acts in departments.

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(b) 3rd milestone set: Updating of business register developed from the 2nd installment of the grant. Preparation of a list of non-farm unincorporated enterprises using the database available with the local bodies. (e.g. sole proprietorship enterprises, partnership enterprises). (c) 4th milestone set: Collection of micro level data on the basis of a sampling design for compilation of district income estimates for organized sector of the economy. (d) 5th milestone set: Collection of micro level data on the basis of a sampling design for compilation of district income estimates for unincorporated sector of the economy. Methodology & Status: For the purpose of getting the information of registering authorities, a proforma was designed and sent to following 16 departments: 1) Industries & Commerce 2) Factories & Boilers 3) Labour 4) Co-operation 5) Commercial Tax 6) Agriculture Marketing 7) Drugs Control 8) Transport 9) Mines & Geology 10) Excise 11) Public Instructions 12) Food & Civil Supplies 13) Religious Endowment 14) State Wakf Board 15) State Khadi & Village Industries Board 16) Ministry of Companies Affairs

The information on the list of Acts and Rules under which the enterprises registered with the registering authorities with their designation, complete addresses, phone number, fax number, e-mail address and other details of the registering authority along with the copy of the application to be submitted for registration/license of the above mentioned departments

224 has been collected. State Khadi & Village Industries Board, which neither the registering nor the licensing authority, hence this Board is left out from this exercise. Department-wise levels of registration authorities are presented below: Sl.No. Department Level of Registration Authorities 1 Industries & Commerce District 2 Factories & Boilers State-District 3 Labour Taluk 4 Co-operation State-District-Taluk 5 Commercial tax Taluk-Com.Tax Divisions 6 Agriculture Marketing State-Taluk 7 Drugs Control State-District 8 Transport State-District-Taluk 9 Mines & Geology State 10 Excise State-District 11 Public Instructions State-Division-District 12 Food & Civil Supplies State-District-Taluk 13 Religious Endowment District-Taluk 14 State Wakf Board State 15 Registrar of Companies State

The Central Statistical Office, Ministry of Statistics & Programme Implementation has listed the following Acts under which the list of enterprises registered are to be collected for the preparation of Business Register: 1) INDIAN FACTORIES ACT, 1948 - (Factories & Boilers Dept.) 2) MICRO, SMALL & MEDIUM ENTERPRISES DEVELOPMENT ACT, 2006 - (Industries & Commerce Dept.) 3) CO-OPERATIVE SOCIETIES ACT,1959 – (Co-operation Dept.) 4) KARNATAKA SOCIETIES REGISTRATION ACT,1960 & RULES, 1961-(Non Profit Institutions-Co-operation Dept.) 5) SHOPS & COMMERCIAL ESTABLISHMENTS ACT,1961- (Labour Dept.) 6) COMPANIES ACT,1956 - (Ministry of Company Affairs) 7) KHADI & VILLAGE INDUSTRIES COMMISSION ACT,1956 – (Khadi & Village Industries Board) Accordingly, the list of enterprises maintained/available has been received in soft form from Industries & Commerce, Factories & Boilers, Co-operation Departments (both co- operative societies and non-profit institutions) and Registrar of Companies. Labour 225

Department is developing a web portal under the 13th Finance Commission Grants for on-line registration of establishments under Shops and Commercial Establishment Act and also computerisation of the existing ones available in the register, for which DES has allocated funds. The list of enterprises received has the following limitations: Information given by the above departments is not in the prescribed form.  Information pertaining to the number of workers, Act under which registered, registration number and date of registration is varying from department to department.  The existence of enterprises is also not known.  List in regional language.  List not in soft form.  PAN & TAN Numbers, Address of Head Office, Ownership details are not available Also the list of enterprises recorded in the Directory of Establishments during 5th Economic Census is considered for the preparation of Common Business Register. The list contains the name & address of an establishment with broad economic activity classification with NIC Code, year of production and class interval of workers. Total no. of enterprises received from the above departments is presented in the following table: Sl. Name of the Act Department No. of No. Enterprises 1 Indian Factories Act, 1948 Factories & Boilers 14,425 2 MSMED ACT, 2006 Industries & 2,47,983 Commerce 3 Co-operation Societies Act, 1959 Co-operation 35,569 4 Karnataka Societies Registration Act, Co-operation 20,269 1960 & Rules, 1961(NPIs) 5 Companies Act,1956 Registrar of Companies 64,194 6 5th Economic Census DES 37,968

Further, in order to get the list of enterprises registered/ issued licenses by the Village Panchayaths(VPs) and Urban Local Bodies(ULBs), a proforma was designed for the above institutions separately by the DES and uploaded in to the DES website (www.des.kar.nic.in) so that the same can be downloaded for furnishing the requisite information in the soft form by the local bodies. Necessary training has been imparted to the consultants of Zilla Panchayaths for the collection of information and in turn to train the Village Panchayaths(VPs) and Urban Local Bodies(ULBs) officials at the District level. The 226 responsibility of getting this work done is entrusted to the Zilla Panchayaths. This work is under progress. Once the lists are received from the local bodies the same will be used for the preparation of Common Business Register. The Business Register format was prepared by the DES and the available information of the enterprises registered under different Acts were filled in the above BR format. With the available information of enterprises registered under INDIAN FACTORIES ACT,1948 - (Factories & Boilers Dept.), MSMED ACT,2006 - (Industries & Commerce Dept.), CO- OPERATIVE SOCIETIES ACT,1959 – (Co-operation Dept.), KARNATAKA SOCIETIES REGISTRATION ACT,1960 & RULES,1961(Non Profit Institutions-Co- operation Dept.) and COMPANIES ACT, 1956, “Common Business Register” for one taluk i.e Doddaballapura Taluk of Bangalore Rural District is prepared for rural (Annexure-6) and urban areas (Annexure-7) separately. The Common Business Register thus prepared for rural & urban areas separately for each district will have village-wise information in Rural CBR and Urban Local Body-wise information in urban CBR. Urban CBR will be sent to concerned ULB for marking the ward numbers for each and every enterprise listed in the CBR. With this the Common Business Register will be ready. Updating CBR during 6th Economic Census: The Common Business Register thus prepared will be updated during the 6th Economic Census field work, which is going to be conducted shortly in the State. During field work additional information and/or the corrections in the existing information of each enterprise will be collected. For this, preprinted forms consisting of the existing information available in the Common Business Register will given to enumerators for collection of additional information/updating by visiting each and every establishment/enterprise. Usefulness of CBR: Common Business Register is use full for the following: 1) To prepare the sampling frame needed for conducting the sample surveys for the collection of data. 2) At present for the estimation of GSDP, ratios and percentages of the national data of various sectors are being used for the State, due to non availability of data at the state level. The information available can be used for the purpose. 3) To identify the list of establishments which ought to have been registered under one or the other Acts under any one of the Departments, either State or the Central Government. 4) Concerned department should initiate the process of getting an un-registered establishments to register, thereby increase the revenue to the department/Government in the form of registration fees, tax collection etc. * * * * * 227

3. Gross District Domestic Product - Compilation and its uses*

Back ground For planning and policy purposes, the central and state governments often require data on economic activities and levels of living of people at the district level. Preparation of District Income Estimates has recently gained added importance, since it is one of the indicators to construct a composite Human Development Index (HDI) for inclusion in the Human Development Report (HDR) being prepared by many state governments in India. Some of the state governments have started preparing estimates of district income to measure income disparity and to plan for the development of backward districts during 1970s and 1980s. For example, the Directorate of Economics and Statistics, Government of Karnataka has been a pioneer in estimating the district income and first estimates were made available in 1960-61. Subsequently, during 1970s and 1980s, these estimates were prepared for selected years. After 1990-91, the estimates are being regularly prepared every year at current and constant prices as per the provisional data base. Similarly, the state of Uttar Pradesh computed district income estimates for all sectors for 1968-69 but later restricted the preparation of these estimates to commodity producing sectors only. The Seventh Conference of Central and State Statistical Organization (COCSSO) which was held at Hyderabad in December 1985, discussed issues catering to the estimation of income at district as well as at rural and urban levels. Keeping in view the demand from the Planning Commission and the state governments for the income estimates at the district and rural/ urban levels, the conference recommended constitution of a Technical Group to study the requirements of data and recommend appropriate methodology for computation of these estimates. On the basis of this recommendation, the department of statistics constituted a Technical group for estimation of Income at District and Rural/ Urban levels in January 1987. The group in its report, which was submitted in 1988 made the following observations (CSO 1988):  To begin with, attempts should be made to compile district income estimates following the standard methodology, which is based on the income originating approach. This method is similar to the one used for compilation of state income estimates. Due to the free flow of goods and services across district borders and non – availability of net factor income earned by the residents of other districts/states/countries, the income accruing approach is not feasible.  Even to compile estimates following the income approach, considerable additional data, as detailed in the report, needs to be collected.

*Dr.V.Muniraju, Joint Director (Admin), Directorate of Economics & Statistics

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 For district income estimates, a large amount of information would need to be collected and compiled at the district as well as at state level. The Group felt that the state governments should asses the precise requirements for additional resources for implementing the recommendations of the group and make necessary provisions in their core schemes.  Since the estimates at the district level would be utilized for the purpose of determining the backwardness/ development of a district, and as a consequence for allocating resources, it would be necessary to make essential adjustments in these estimates with regard to significant flow of income across the territories of districts which are rich in minerals and /or forests resources or where flow of daily commuters, migration of labor and cattle are involved.  With the present availability of data at the district level, it would be sufficient to compile these estimates at an interval of five years With a view to giving impetus to the compilation of district income estimates by the state governments and to standardize the methodology of the National Accounts Division, The Central Statistical Organization convened a meeting with the State Directorates of Economics and Statistics (DES) in 1995. The meeting entrusted the development of the methodology of compilation of District Domestic Product (DDP) jointly to the DES of the states of Karnataka and Uttar Pradesh which was completed in August 1996. The state governments have been following this methodology for preparation of district income estimates. The methodology for compiling the DDP, given in the following paragraphs, takes into consideration the broad guidelines given in the Report of the Technical Group on District Income and also its recommendations and the methodology which was developed jointly by the DES of Karnataka and Uttar Pradesh. The proposed methodology takes in to account the available data at the district level for the commodity producing sectors and the results of the surveys, both relating to socio-economic aspects and unorganized sectors of the economy, conducted by the National Sample Survey Organization (NSSO) and states DES. Definition and Concept Domestic Product is “aggregate economic value of all the goods and services produces within in the geographical boundaries, counted without duplication during a specific period of time,” The district income is defined as“the sum total of the economic value of all goods and services produced with in the district”, irrespective of the fact whether the income is owned by persons inside the district or outside. The estimates of DDP also termed as District Income is compiles in a similar manner to the one being followed in the case of State Domestic Product (SDP). „Income Originating‟ concept is used in working out DDP; although the estimates worked out on the basis of „IncomeAccruing‟ concept is relatively 229 better one. Income accruing concept is followed in the preparation of National Income estimates at all India level. Importance or uses:  Measurement of Economic Development  Inter - districts comparison  Information about Economic variables  Knowledge about Economic Problems  Guidance for Policy Formulation  To build the Human Development Indices  In assessing the relative contribution of different sectors of the economy to the income of the district and extent of inter-sectrol and inter taluks imbalances in the economy. For estimating District Domestic Product, the economy of the district may be divided into the following 14 broad sectors on the same lines as adopted for computing the national/state GDP. Primary Sector: 1. Agriculture (including Livestock) 2. Forestry and Logging 3. Fishing 4. Mining and Quarrying. Secondary Sector: Commodity 5. Manufacturing - Registered Producing Sectors 6. Manufacturing - Un-registered 7. Construction 8. Electricity, Gas and Water Supply Tertiary Sector: 9. Transport, Storage and Communication a) Railways b) Transport by other means c) Storage d) Communication 10. Trade, Hotels and Restaurants Non-Commodity Producing 11. Banking and Insurance Sectors 12. Real Estate, Ownership of Dwellings and Business Services, including legal services. 13. Public Administration

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14. Other Services.

Gross Domestic Product (GDP) is worked out first for all the above sectors individually and Consumption of fixed Capital (CFC) is deducted to get Net Domestic Product (NDP) for that particular sector. However, in the case of Public Administration, NDP is worked out first and then CFC is added to get GDP.

Method of estimation: The income estimates from the above mentioned sectors are worked out in any one or more of the following three methods. Production approach: This approach involves evaluation of all the goods and services produced within the district during a period of time from which are deducted the inputs and depreciation, to get the estimates of income. Income approach: The aggregate income in this method is viewed to have been distributed among the four factors of production viz., Land, Labour, Capital and Enterprises in the form of rent, wages, interest and profits. Expenditure approach: This approach is based on measurement of income at the stage of disposal. All that is produced is either ultimately consumed or a part of it is saved for future consumption or future production of goods and services. The money value of consumption expenditure plus the savings gives the Income. Methodology for preparation of District Income Estimates: The methodology for preparation of District income estimates is very much depends on availability of basic data at district level. There has been a feeling that the data base at the district level is far from satisfaction for estimation of income at the district level. Nevertheless, the data in respect of commodity producing sectors viz., Primary Sector and Manufacturing (Registered) Sector, is fairly sound, but appears to be very scanty in respect of remaining sectors. Therefore the district level data could be utilized to the extent of its availability to compute the district income estimates adopting the state level methodology. In the case of non-commodity producing sectors, where the district wise basic data are not available, the State level estimates are allocated to the districts on the basis of suitable district wise indicators. Further, in some of the commodity producing sectors, though the district wise production data are available, the corresponding prices may not be available. In such cases, district wise production and State average prices will have to be utilised for preparation of district income estimates. Apart from this, wherever certain ratios, norms, yield rates etc,

231 are used for the State level estimates and which are normally not available at the district level, the State level ratios, yield rates etc, will have to be used for district income estimates. Sector wise details of methodology for preparation of Gross District Domestic Product are given below. I. Agriculture (including Livestock):- A. Gross Value of output:- a) Agriculture Proper:- The estimates of gross value of output of crops grown in the district is worked out using the area, production and the wholesale prices prevailing at the peak market period. The data on area is available in the Annual Season and Crop Report. The taluk wise yield rates for major crops will be made available by the State DES. The production estimates can be worked as given in the following example. Estimation of Production in tones Production after Area under Yield Production in tones Crop bund correction (Ha) (in Kgs/Ha) (Col.2 * Col 3/1000) (Col 4* 0.95) 1 2 3 4 5 Bajra 417113 715 298236 283324

The peak marketing period wholesale prices are based on regulated market prices collected from the State Marketing Department/APMCs through their website „KrishiMarataVahini‟. The data on production and prices at the district level may not be available uniformly for all the crops. Hence for estimation purpose, crops are classified into different categories as follows: i. Crops for which reliable district wise data on area, production and prices are available:- In such cases, taluka wise value of output for each crop may be worked out by using taluka wise production and prices. The data on area is available in the Annual Season and Crop Report. The taluk wise yield rates for major crops will be made available by the State DES. The market centre wise wholesale prices of crops are available in the monthly returns available in „KrishiMarataVahini‟ of the Director of Agriculture Marketing, Bangalore. For each crop, the market centre wise prices are averaged for the taluks, month wise and again averaged for the peak market period of that particular crop. This peak market average price of the crop is to be multiplied by the production to get the value of output of that crop.

232 ii. Crops for which though taluk wise productions are available, corresponding taluk wise prices are not available:- For these categories of crops, taluk wise production and district level prices may be utilised in preparation of taluka wise value of output. iii. Crops like Tea, Rubber, etc., where taluka wise data both on production and prices are not available but area figures are available:- In such cases, the taluka wise production estimates are first worked out by allocating the district level production on the basis of taluka wise area. Taluka wise value of output of these crops is then computed by evaluating the production, worked out by the district average prices. iv. Miscellaneous and unspecified crops for which production and price data are not available even at the State level but district wise area is available:- In such cases, the value of output is worked out by multiplying the district wise area by the state level value per hectare of respective crops. As regards procurement of food grains through the Government and are sold through ration shops, there is likelihood of variation in the prices due to prevailing market rates. As such, adjustments are required to be made in the value of such agricultural produces by evaluating separately the quantity procured and sold in open market by their respective prices. The quantity of food grains procured is available in the regional office of Food Corporation of India. The subsidized prices are available in the Food and Civil Supplies Department. b) Animal Husbandry (Livestock):- At the district level, estimates of number of different categories of animals and poultry are worked out from the results of latest two livestock censuses assuming linear/compound growth rates, along with relevant yield rates to obtain the estimates of production of various livestock products and by–products and poultry. Livestock census will be conducted for every five years once. For non census years the livestock population is to be estimated using the previous census growth rates. For example, consider the cattle population in the year 1998 (livestock census) as 1,00,000. Similarly, the cattle population in the year 2003 (livestock census) as 1, 85,086. Find out the cattle population increment in 5 years i.e (185086-100000)/5 = 85086/5 = 17017. Add this incremental figure to the 2003 population to move for further years. The results of Integrated Sample Survey (ISS) conducted by the State Animal Husbandry Department provide State/District level data on production of milk, meat, wool and egg. It also provides estimates of category wise number of slaughtered animals. (Wherever, ISS results are available only for the State, the estimates for the district are to be obtained by allocating the state level value to the districts on the basis of relevant livestock 233 population). To estimate production of all other items (i.e. other than milk, meat, egg and wool), State level yield rates and ratios along with district estimates of number of relevant animals/poultry are to be used. The value of output is then worked out by evaluating the production obtained as above, by the corresponding district prices, wherever available. In the absence of district level prices, the state level prices are to be utilised. In regard to items for which prices data are not available, wholesale / retail prices of allied items are to be utilised. The value of output of increment in stock for each category of animal/poultry is worked out district wise and these are evaluated by the corresponding district prices. The value of silkworm cocoons arrived at State level, after adjusting the cost of rearing silkworm cocoons, is allocated to the districts in proportion to the area under Mulberry in each district. District wise value of output of honey is also made available by DES. B. Value of Inputs:- The deductible inputs are i) Seed, ii) Organic Manure (Cattle and Buffalo dung), iii) Chemical Fertilisers, iv) Repairs and Maintenance of fixed assets and other operational costs, v) Feed of livestock, vi) Irrigation charges, vii) Market charges, viii) Electricity, ix) Pesticides and Insecticides and x) Diesel oil consumption. To work out the value of these input items at the district level, the state level estimates arrived at independently and those estimates have been distributed to various districts on the basis of certain proportions as indicated below: i. Seed: For some of the crops, where the seed rate used in income estimates are based on quantum per hectare, the district wise value of seed is to be worked out as the product of seed rate, district area under the crop and the district price of the Crop. In respect of other crops the value of seed is worked out as specific proportion of the value of output of the crop. ii. Organic Manure: The district wise estimates of value of output of dung manure as worked out in Animal Husbandry sector are taken as the value of input for respective districts. iii. Chemical Fertilisers: State level value is distributed to districts in proportion to total quantity of chemical fertilisers distributed/ consumed as obtained from the Agriculture Department. iv. Repairs and Maintenance of fixed assets and operational cost: State level value is distributed to the districts in proportion to the total value of output of Agriculture and Animal Husbandry (excluding value of dung and increment in livestock and poultry) in each district.

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v. Feed of livestock: Based on CSO‟s methodology, 96.14 percent of value of output of Fodder, Grass, Sugarcane tufts and 95 percent of straw along with value of mulberry are considered as value of roughages. Similarly, the value of concentrates fed to each category of animals and poultry as worked out separately at the state level are allocated to districts on the basis of district wise proportion of relevant category of animal and poultry. vi. Irrigation charges: The data on irrigation charges paid by farmers to Government at current prices are collected from the district administration (D.C‟s). This can be made use of. At constant prices, this can be obtained by using the growth observed in the area irrigated by government canals. vii. Market charges: The state level norm of 3.22 percent of value of output in respect of Agriculture (proper) is followed at district level also. In respect of Animal husbandry, livestock category wise state level value of market charges are allocated to the districts on the basis of district wise number of slaughtered animals. Then the market charges so worked out separately for agriculture proper and livestock are added. viii. Electricity: The state level value is distributed to the districts in proportion to the number of Irrigation pumpsetsenergised. ix. Pesticides and Insecticides: The state level value is distributed to the districts in proportion to the quantity of pesticides sprayed in different districts. x. Diesel oil consumption: State level value of consumption of diesel oil by tractors and oil engines have been distributed to districts in proportion to the district wise number of tractors and oil engines used for agriculture purpose. C. Gross Product from operation of Government Irrigation System:- The state level value of Gross product from operation of Government irrigation system will be distributed among the districts in proportion to the area irrigated by Government canals. The value data will be made available to the districts. The gross value added (GVA) from Agriculture (including Livestock) is worked out by adding gross value of output of Agriculture proper and Livestock first and deducting value of all inputs including Financially Intermediate Services Indirectly Measured (FISIM) and adding the gross product from operation of government irrigation system.

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II. Forestry and Logging:- A. Major Forest Products:- The district wise value of output of industrial wood including Trees Outside the forest are to be worked out using the district wise production and prices for different varieties. In case of firewood, the district wise value of output is obtained by allocating state level estimates (based on results of NSSO consumption expenditure surveys) to the districts in proportion to district wise latest census rural and urban population.

B. Minor Forest Products:- The district wise value of output is to be worked out using the district wise Minor Forest production including fodder grass and prices of different varieties. The value of output of major and minor forest products is added and 15.6 percent of this is considered as cost of repairs and maintenance. This is to be deducted from value of output to get GVA. III. Fishing:- The value of output is worked out by multiplying the production by prices of inland fish, marine fish, (including fish in raw form, sundried, salted and frozen/ smoking fish separately) along with value of subsistence fish @ 12.5 percent of value of inland fish and added. Wherever, the district wise prices are not available, then district wise value have to be worked out using district wise production and state level prices in which case, state level prices are to be obtained from Directorate of Fisheries. The operational costs including repairs and maintenance, i.e., @ 22.5 percent of value marine fish and 10 percent of value of inland fish and one percent of value of subsistence fish and salted fish is to be deducted as inputs from gross value of output to get GVA. IV. Mining and Quarrying:- The gross value of output is to be estimated on the basis of value of major and minor minerals. For major minerals, the district wise value of output as collected from Indian Bureau of Mines, (IBM) Nagpur, is to be used. For minor minerals, the district wise value of output is to be collected from the state Mines and Geology Department. The value of output of major and minor minerals is to be added and input cost and FISIM is to be deducted to get GVA. V. Manufacturing A. Registered :- The estimates of value added from registered manufacturing sector are available from Annual Survey of Industries (ASI). The value added from non-reporting units is to be worked

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out from state estimates in proportion to the district wise value of reporting units. FISIM is to be deducted to get GVA. B. Un-registered:- The GVA from household and non-household sectors are to be worked out separately and added. For household sector, district wise proportion of census working force has been used to distribute the state Gross Value Added to the district and for non-household sector, district wise proportion of working force as per Economic Census results has to be used. From, the total of GVA of house hold and non-household sectors, thus worked out, FISIM are to be deducted to get GVA.

VI. Construction:- The state level estimates of GVA from this sector is to be allocated to the districts on the basis of working force for public (except local bodies) and private sector separately and in respect of local bodies, data collected from them have to be utilised. The results based on economic analysis of budget/accounts of all rural and urban local bodies in their district have to be utilised. VII. Electricity, Gas and Water Supply:- A. Electricity:- At present the State level value added from this sub-sector is being distributed to districts in proportion to district wise connected load of energy. As the number of employees engaged in this activity (KPTCL) is found to be better indicator for allocation of state level GVA to districts the district authorities may collect the data on number of employees in their district. B. Gas:- State level value added is distributed according to number of bio-gas plants in each district. C. Water Supply:- State level gross value added is obtained by adding CFC (supplied by State DES) to the salaries and wages data collected from local bodies and ASI schedules. The Gross Value Added from Electricity, Gas after deducting FISIM and GVA from Water supply is aggregated to get final GVA. VIII. Transport, Storage and Communication:- A. Railways:- State level estimates are allocated to the districts in proportion to the length of railway line.

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B. Transport by other means:- a) Mechanised Road Transport:- i. Public Sector: The value added from this sub-sector at the state level is to be allocated to the districts on the basis of district wise working force (Public). ii. Private Sector: The value added from private sector is to be allocated to the districts on the basis of district wise private working force. District wise private working force is estimated as under: District wise census working force in this activity is first moved to other years on the basis of district wise number of vehicles (obtained from Transport Commissioner) and from this, the public sector working force (district wise) is to be deducted to arrive at the district wise private sector working force. GVA is obtained by adding public and private sector estimates. b) Water Transport:- State level estimates are allocated to the districts in proportion to the census working force. c) Air Transport:- The State Income from this sub-sector is allocated to the districts on the basis of district wise census working force. d) Non-mechanised road transport and un-organised transport:- The state level estimates are allocated to the districts in proportion to value of output of commodity producing sectors. From the gross value added obtained by adding all {(a) to (d)} FISIM is to be deducted to get final GVA. C. Storage:- a) Warehousing (State and Central):-

State level estimates are allocated to the districts on the basis of average storage capacity. b) Storage not elsewhere classified (n.e.c):-

State level estimates are allocated to districts on the basis of census working force. From the GVA arrived by adding the State, central and n.e.c. the FISIM to be deducted to get final GVA. D. Communication:- State level estimates are allocated to districts in proportion to the number of post offices, telegraph offices and number of telephones in use.

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Total GVA is arrived at by aggregating gross value added (after deducting FISIM) from all means of transport, storage and communication. IX. Trade, Hotels and Restaurants:- The Gross value added at state level is to be allocated in proportion to the Gross Trading Income of commodity producing sectors in each district. From this GVA, FISIM is deducted. X. Banking and Insurance:- A. Banking:- The state level estimates are allocated to the districts in proportion to total credit and deposits in each district.

B. Insurance:- The State level estimates are allocated in proportion to employment in insurance sector. The aggregated GVA from Banking and Insurance together will be arrived. XI. Real Estate, Ownership of Dwellings, Legal Services and Business services: A. Real Estate, Business Services and Legal Services: State level estimates from these sub-sectors are allocated to districts in proportion to the census working force in these activities. B. Ownership of Dwellings:- State level estimates are allocated to districts in proportion to number of dwellings in each district based on census data. The aggregated GVA of Real Estate, Ownership of Dwellings and Business services including legal services will be arrived after deducting FISIM. XII. Public Administration:- The State level estimate of Net value added from this sector is allocated in proportion to the Public working force in respect of State and Central Government administration. In case of local bodies, data collected from the results of economic-cum- purpose classification is used. The estimates of CFC are added to NVA to get GVA. XIII. Other Services:- A. Education, Research and Scientific Services:- State level estimates of GVA are allocated to the districts on the basis of number of students enrolled in different educational institutions in the district.

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B. Medical and Health Services:- a) Public Sector:- State level GVA is allocated to districts on the basis of public sector working force data collected from Department of Employment and Training. b) Private Sector:- State level GVA is allocated to the districts on the basis of private sector working force which are obtained by deducting public sector working force from census working force engaged in these activities. The census working force is estimated on the basis of combined index of number of veterinary institutions, Primary Health Centre, State Government Hospitals. C. Sanitary Services:- The results of economic analysis of budget/accounts of all local bodies will be used. D. Rest of the Services:- (Recreation and entertainment services, Tailoring services and services not elsewhere classified) State level GVA is allocated to the districts on the basis of census working force. The district level GVA arrived at by aggregating all the above services after deducting FISIM. District Income in Karnataka The database for the estimations is available for primary sector only. In respect of secondary and tertiary sectors, the State level estimates are allocated to the districts with appropriate available indicators at the time of preparation of the estimates as per the guidelines of CSO.

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Table -1 Gross/Net District Domestic Product and Per Capita Net District Income for the year 2009-10 (Provisional) (Rs. Crore) At Constant (2004-05) At Current Prices Prices

Gross Gross Net Sl.No District Net District Per captia District District District Domestic Income(Rs.) Domestic Domestic Domestic Product Product Product Product 1 Bagalkote 6633 5952 5030 4507 32525 Bangalore 2 117356 101660 89261 76629 140369 Urban 3 Bangalore Rural 9039 7882 6352 5469 83605 4 Belgaum 18868 16770 14340 12688 35917 5 Bellary 13454 11608 9054 7773 51689 6 Bidar 4645 4174 3237 2885 25078 7 Bijapur 6480 5900 4666 4236 29473 8 Chamarajanagar 3229 2929 2589 2338 27379 9 Chickballapur 4251 3829 3088 2763 30079 10 Chickmagalur 6132 5600 4215 3835 44307 11 Chitradurga 6533 5810 4719 4181 34548 Dakshina 12 17735 16070 13690 12408 76438 Kannada 13 Davangere 8376 7502 6117 5452 37810 14 Dharwad 11842 10645 8868 7945 59888 15 Gadag 3927 3498 2883 2556 32488 16 Gulbarga 7615 6854 5382 4810 28447 17 Hassan 7956 7161 5981 5365 37546 18 Haveri 4974 4459 3750 3344 27969 19 Kodagu 5063 4643 3193 2916 76398 20 Kolar 7515 6619 5693 4991 43075 21 Koppal 4533 4048 3360 2985 30549 22 Mandya 5828 5280 4481 4044 27021 23 Mysore 15117 13642 11286 10138 46625 24 Raichur 5962 5346 4069 3636 28897 25 Ramnagara 4740 4146 3651 3221 36311 26 Shimoga 8930 7994 6702 5975 43930 27 Tumkur 10908 9694 8341 7392 33853 28 Udupi 7998 7212 5953 5346 58531 29 Uttara Kannada 6045 5508 4630 4218 36731 30 Yadagiri 3551 3150 2542 2233 29732 State 345236 305586 257125 226278 52191 Source: Economic Survey of Karnataka 2011-12, Government of Karnataka, Bangalore 241

Table 2 Net District income in Karnataka at current and constant (2004-05) prices - 2009-10 (Provisional) (Rs. in Crore) NSDP Current Prices NSDP Constant Prices Sl. District Seco- Seco- No Primary Tertiary Total Primary Tertiary Total ndary ndary 1 Bagalkote 1832 1310 2810 5952 1416 955 2136 4507 Bangalore 2 1520 30620 69520 101660 868 23030 52732 76629 Urban Bangalore 3 1374 2070 3545 6988 634 1576 2661 4871 Rural 4 Belgaum 4666 4239 7865 16770 3481 3130 6077 12688 5 Bellary 4085 2137 5387 11608 2311 1569 3894 7773 6 Bidar 1099 876 2199 4174 703 631 1551 2885 7 Bijapur 1935 1260 2705 5900 1344 899 1994 4236 8 Chamarajanagar 1170 483 1276 2929 1067 353 917 2338 9 Chickballapur 1220 837 1773 3829 883 606 1274 2763 10 Chickmagalur 2371 742 2488 5600 1427 539 1869 3835 11 Chitradurga 1705 1040 3066 5810 1200 757 2224 4181 Dakshina 12 1806 4061 10204 16070 1195 2980 8232 12408 Kannada 13 Davangere 2315 1518 3669 7502 1576 1107 2770 5452 14 Dharwad 1155 2481 7009 10645 772 1824 5348 7945 15 Gadag 804 767 1927 3498 507 559 1490 2556 16 Gulbarga 1605 1672 3577 6854 964 1202 2645 4810 17 Hassan 2363 1261 3538 7161 1768 921 2676 5365 18 Haveri 1419 865 2174 4459 1090 632 1622 3344 19 Kodagu 2287 431 1925 4643 1137 313 1465 2916 20 Kolar 2076 1533 3011 6619 1632 1139 2220 4991 21 Koppal 1388 928 1731 4048 1037 683 1264 2985 22 Mandya 1791 1090 2400 5280 1461 790 1792 4044 23 Mysore 2427 3386 7829 13642 1783 2478 5877 10138 24 Raichur 1820 1042 2484 5346 1094 752 1790 3636 25 Ramnagara 1090 951 2999 5040 941 715 2163 3819 26 Shimoga 2114 2043 3836 7994 1474 1514 2988 5975 27 Tumkur 2872 2348 4473 9694 2320 1734 3337 7392 28 Udupi 1571 1942 3699 7212 948 1433 2965 5346 29 Uttara Kannada 1003 1391 3115 5508 751 999 2469 4218 30 Yadagiri 769 874 1506 3150 487 636 1109 2233 State 55650 76197 173740 305586 38273 56454 131551 226278 Source: Economic Survey of Karnataka 2011-12, Government of Karnataka, Bangalore

242

In Karnataka, Bangalore urban district stands first in the total District Income as well as per capita district income for the year 2009-10. Bangalore urban district contributes 34.0% to GSDP at Current Prices followed by Belgaum (5.5 %) and Dakshina Kannada (5.1 %). Chamarajanagar with 0.9 % stands last in the districts‟ contribution to the GSDP. At constant (2004-05) prices, contribution of Bellary district to the primary sector GSDP is highest in 2009-10, due to higher production of Iron Ore. Bangalore urban district tops in secondary and tertiary sectors due to high concentration of major industries and infrastructure facilities District income is a measure of level and growth of economic growth at district level. It is a useful policy indicator and monitor of the nature and degree of inter-district variations and disparities in the process of economic growth at the State level. A simple summary statistical indicator of inter-district variations in levels of district income is coefficient of variation. The following figure -1 shows the computed values of coefficient of variations across four divisions and at the State level.

Figure -1 Inter-district variations of Gross District Income and Per Capita Income by Divisions in Karnataka for 2009-10

184 200 173 180 160 140 120 100 67 80 59 62 53 54 60 39 40 32 39

40 30 30 30 efficient efficient Variation of

- 20

Co 0 Bangalore Bangalore Mysore Belgaum Gulbarga State State with Division Division with Division Division Division out out Bangalore Bangalore Urban Urban

District Income Per Capita Income

The above figure indicates the variations in gross district and per capita district income among the districts in each revenue division of the State. The highest variation is evident for Bangalore division if Bangalore urban district is included. Excluding Bangalore urban, inter- district variations in district income and per capita district income are remarkably reduced at the division and State level and to the lowest level as compared to other divisions. The low values of coefficient of variation for Gulbarga division are mainly attributable to comparable levels of backwardness among the districts in the division.

243

Sectoral growth in Udupi District: Government of Karnataka has made an attempt for compilation of DDP estimates in four pilot districts (Udupi,Mysore,Bijapur and Gulbarga) where the District Human Development Reports are being prepared. There is need to extend the same to all the districts. For instance, in Udupi District, for per capita income, the sectoral GDP and per capita income estimates of DES were used. In the case of Gram Panchayaths (GPs) for estimating per capita income data, secondary data available were used for primary sector and organized secondary and tertiary activities. Since at the GP level, informal enterprises dominate in both these sectors and no secondary data were available for informal secondary and tertiary activities, representative sample and in some cases census and survey for collection of income data through structured schedules on rapid appraisal basis were undertaken with the help of concerned GPs. On the basis of the above methodology the following tables and figures have been prepared in Udupi District, Human Development Report-2008. The analysis of sectoral contribution of GDP in the district shows a major shift towards tertiary sector and away from the primary sector. Even the industrial sector witnessed a significant decline in its share. The share of the primary sector, which contributed 30 per cent in 1990-91, though it remained at that level in 1999-00, has declined to 21.76 per cent in2005-06. The decline was 27 per cent in a short period of five years. The share of manufacturing and industrial sector, which contributed to the extent of 31 per cent to district GDP, declined to 19 per cent in 1999-00.In 2005-06, its share improved marginally to 23 per cent. As against these developments, the tertiary sector, which contributed 39 per cent to the total district GDP in 1990-01, has consistently improved its share to 51 per cent in 1999-00 and 55 per cent in 2005-06. TABLE -3 Sectorwise Percentage Share in Total GDP (At Constant Prices) 1990- 1999- 2004- 2005- Sector 91 00 05 06 Udupi Primary 29.9 30.2 22.4 21.76 Secondary 30.8 18.7 22.7 23.06 Tertiary 39.3 51.1 54.9 55.08 Karnataka Primary 34.6 28.3 19.5 20.18 Secondary 26.8 24.3 26.3 25.69 Tertiary 38.7 47.4 57.2 54.13 Source: Udupi District – Human Development Report – 2008 GOK. 244

Figure-2 Sectorwise Composition of GDP

60

50 40 Primary

30 Secondary 20 Tertiary

10 0 1990-91 1999-00 2004-05 2005-06

Table-3 shows the changes in contribution of various economic activities in recent years. In the primary sector, the decline has mainly taken place in agriculture and allied activities, which include horticulture and livestock. Its share has declined from 24 percent to 17 percent. In the case of fishery and forestry, their shares in the total district income have also declined marginally. With economic development, the decline in the share of primary sector in total GDP is a desirable feature. However, it should accompany the decline in rural population depending on the primary sector and increase in agricultural growth. This has apparently not taken place. Still, 82 percent of the district population lives in rural areas. TABLE -4 Sectoral Composition of GDP (Percentage) Udupi District karnataka State Sector/Sub-Sectors 1999-00 2005-06 1999-00 2005-06 Agriculture 24.5 17.2 25.5 17.7 Forestry and Logging 1.5 1.2 1.6 1.2 Fisheries 4.2 3.1 0.6 0.5 Primary Sector 30.2 21.7 28.3 20.2 Manufacturing 8.3 11.4 14.6 16.1 Registered 2.1 4.5 10 11.5 Un-Registered 6.2 6.9 4.6 4.6 Construction and others 10.4 11.6 9.6 9.7 Secondary Sector 18.7 23.1 24.3 25.7 Transport 3.5 3.1 4.4 4.8 Communication 1.3 3 1.4 3.5 Trade, Hotels and 11.2 11.4 11.8 13.9 Restaurants 245

Banking and Insurance 13.7 14.8 5.7 6.6 Public Administration 2.2 6 4.6 3.9 Real Estates, Dwellings 6.9 7.2 10.8 13.4 etc. Other Services 12.3 9.5 8.7 8.1 Tertiary Sector 51.1 55.2 47.4 54.1 Total 100 100 100 100 Source: Udupi District Human Development Report – 2008, Government of Karnataka.

Figure-3 Sectoral Composition of District GDP : 2005-06

22%

55%

Primary Secondary

Tertiary

23%

As against the decline in the share of the primary sector, the shares of secondary and service sectors have gone up significantly. The contribution of the secondary sector has increased from 19 per cent to 23 per cent, whereas the share of the tertiary sector increased from 51 per cent to 55 per cent. The share of the secondary sector increased mainly due to significant increase in the share of manufacturing from 8 per cent to 11 per cent. In the manufacturing sector, the organized (registered) sector has witnessed considerable progress and unregistered only marginal increase. Surprisingly, there was no change in the contribution of construction and electricity, gas and water supply. More than half of the total district income is contributed by the service (tertiary) sector. The increase in the share of the service sector mainly came from communication, real estate etc. and administration. In the case communication and public administration, their shares in the district income have more than doubled. There was also considerable increase in the shares of real estate, dwellings and business services. The increase in the case of trade and hotel industry was only marginal. Data gaps: Prices–Producer prices prevailing in the primary markets/ farm gates for agricultural products/collection centres for forestry products and at the landing centres for the fishery products at the district level are being collected through market surveys. However these data

246 are not available for many of the products. For example in case of Karnataka, state level prices are used to value the district production for animal husbandry, forestry and fishing. The price data for all products, which are important for a particular district, need to be collected and compiled on a regular basis for use in district income estimates. Unorganised Segments of Economic Activity - Pooling of Central and state samples is a must if the states have to produce districtwise estimates of value added for the unorganized segments of different sectors of non-agricultural economy. The state Directorate of Economics and Statistics and the data processing division of NSSO need to develop and maintain an excellent working relationship. This would help the Data processing Division and the state DES to devise efficient identical data processing procedures for the central and state samples so that pooling of the two samples can be undertaken on a scientific basis. Workforce – In Karnataka, district wise workforce has been used to allocate state totals to districts in respect of firewood, unregistered manufacturing, construction, road transport, real estate and business services and other services except education, medical and health and sanitation. Thus the DDP of Karnataka and the HDI for the districts constructed on the basis of the same ignore, the disparity at the district level and do not reflect the extent of development or underdevelopment of the districts of Karnataka. Limitations: 1. Presence on Non –monetized sector or Exchange without the medium of money 2. Dependence on more than one occupation 3. Unreported of illegal Income or black money 4. Underground economy – illegal trade and tax avoiding activities are unreported 5. Non-availability of data about the income of small producers or house enterprises Conclusion The National Statistical Commission headed by Mr.C.Rangarajan, former governor of RBI has drawn attention to major gaps in the Indian Statistical System due to the absence of certain key data sets at the state level. The commission pointed out that while there is an IIP at the national level, the corresponding absence of IIP at the state level is a major data gap, which needs to be fulfilled. The commission noted that the need for developing SDP estimates at the state level so that these can be used as a cross check for the national level estimates. For development of a more robust Indian Statistical System at the state level, corresponding surveys at the state level are essential In Karnataka, the Karnataka State Strategic Statistical Plan (KSSSP) has been established and envisaged the compilation of taluk income estimates for the year 2008-09 and contribution of local bodies statistics for the year 2009-10 and onwards at the district level. To achieve these, man power has been provided to each Zilla Panchayat and the web-based applications have been developed to record the contribution of local bodies to the State‟s income and capital formation.

247

Bibliography: 1. Mishra and Puri, Indian Economy 2009, 27th Revised Editon, Himalaya Publication House, New Delhi. 2. RuddraDatt K.P.M. Sundharam 2008, Indian Economy, 58th Fully revised Edition, S.Chand & Company LTD, New Delhi. 3. Economic Survey, Government of Karnataka 2011-12, Bangalore. 4. State and District Domestic Product of Karnataka, New Series (Base Year 2004-05), 2010-2011, Directorate of Economics & Statistics, Bangalore.

5. Note on Estimation of District Domestic Product and Analysis of Annual Accounts of Local Bodies at District Level, Directorate of Economics & Statistics, Bangalore, Government of Karnataka, Bangalore. 6. R.P.Katyal, M.G.Sardana and J.Satyanarayana, Estimates of District Domestic Product, Socio- Economic Research Centre, New Delhi1 *******

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7¹ÙÓ ÊÐÀÙÔóÓÎйзРǻ°Ñ¤ÐËú¹Ð¹Ð÷•¦ÐÔ 1987 ¤ÐÅö ÇõÓ ¡”иÓÆÐ ‘ÐÔÀЦѤÐ, º·ÙÓþÆБФÐÔ, ¹ÑôÈйÐÄý ƒ‘ہªýú Á¾°Ñ”Ð, ‘ÙӁ¸õ¦ÐÔ Êс“ô‘Ð ÊЁÊÙë (Central Statistical Organisation),Êс“ô‘Ð …ÄÑ‛Ù, ¹ÐÀзÙÌÐÅ …ÀФРƒ·°Ðô‘Ðù³Ù¦ÐÔÅö ªÙ’î‘ÐÄý ”ÐÖõ»ý¹ÐÔî ¤ÐœË³ÐÔ. ÊзЧ ÊÐÁÔ´¦ÐÔÔ 1988 ¤ÐÅö ³Ð¹Ðî ÀФи¦ÐÔ¹ÐÔî ÊÐÅö˳ÐÔ. »Ðõ´ ¤Ñ¡ôÀÐÕ ³Ð¹Ðî ¾°Û”ÙÖÓÏ‘Ð ‘ÙùÓ³Ðõ‘ÙÜ ƒ¹ÐÔ”ÐÔ±ÀÑ„ »Ðõ´ ÀÐÈÐþ ¤Ñ¡ô·Ð „·Ñ¦ÐÔ ƒµÐÀÑ ¤Ñ¡ô·Ð ©Ôå „³Ð§‘Ð ‡³Ðï¹Ðî”ÐÎйÐÔî (State Domestic Product) ‘Ё®ÐÔͯ¦ÐÔÔÀÐշФР¢ÙÖ³Ù ¢ÙÖ³Ù”Ù £ÄÑö ©Ôå „³Ð§‘Ð ‡³Ðï¹Ðî ƒµÐÀÑ £ÄÑö „·Ñ¦ÐÔ ƒ·Ñ¡Ô (Gross District Domestic Product - GDDP) ”ÐÎйÐÔî ÌÑ”ÐÖ ºÀÐ÷ÎÐ „·Ñ¦ÐÔ ƒ·Ñ¡Ô (Net District Domestic Product- NDDP) ”ÐÎйÐÔî ‘Ð®ÐÔͯ·ÐÔ ³Ð·Ð¹Ð³Ð¤Ð ¡¹ÐÊЁ‛Ùô¦ÐÔ „·°Ñ¤Ð·Ð ÀÙÔÓÄÙ ³ÐÄѷс¦ÐÔÀйÐÔî (Per Capita Income) ‘Ё®ÐÔͯ¦ÐÔÄÑ”ÐÔ´ê³ÐÔê. ÍÓ”Ù »Ðõ´ £ÄÙö¦ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ‘Ð®ÐÔͯ·ÐÔ ÁÆÙöÓÈв٠ÀЦѮÐÄÑ„ »Ðõ´¦Ùց·ÐÔ £ÄÙö¦ÐÔ £ÄÑö „·Ñ¦ÐÔ …¹ÙÖÐÔ £ÄÙö¦ÐÔ £ÄÑö „·Ñ¦ÐÔ ÌÑ”ÐÖ ³ÐÄÑ·Ñ•¦ÐÔ”ÐÎÐÔ ½ÌÐÎÐ Á¿°¹ÐîÀÑ„¤ÐÔÀÐÕ·ÐÔ ‘Ё®ÐÔ ½¤ÐÔ³ÐêÀÙ. ‡·ÑÌФвٔ٠£ÄÑö·Ñ¦ÐÔ·ÐÅö »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ·ÐÅö ¾Ù”ÐÎÐÖ¤ÐÔ ¹Ð”ФР£ÄÙö¦ÐÔÅö ‘ЯÀÙÔ „·Ñ¦ÐÔ ½¸·Ðì¤Ù ÌÑÀÙÓ§/³ÐÔÀÐÔ‘ÐÖ¤ÐÔ/‘ÙÖÓÄѤРÌÑ”ÐÖ …³Ð¤Ù £ÄÙö”ÐÎÐÅö »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ·ÐÅö ÌÙœà¹Ð „·Ñ¦ÐÔ ½¸¤ÐÔÀÐÕ·ÐÔ ‘Ё®ÐÔ ½¤ÐÔ³Ðê·Ù. „·Ð직·Ð † ƒÆДÐÎйÐÔî »Ð§”б¹Ù”Ù ³Ù”Ù·ÐÔ‘Ùց®ÐÔ „¦Ð¦Ñ ÀÐÕ¦ÐÔ”ÐÎÐÅö „·Ñ¦ÐÔ”ÐÎйÐÔî ÌÙœàÊÐÔÀÐշБÙÜ ¦ÙÖÓ¡¹Ù”ÐÎйÐÔî ¤ÐÖ¼ÊнÌÐÔ·Ñ„·Ù. ÀЦѹÐÀйРƒ¿°ÀÐظí”Ù Ç‘Ðù±,„¤ÙÖÓ”Ðô ÀÐÔ³ÐÔê „·Ñ¦ÐÔ ƒ´Ó ÀÐÔÔ‚ôÀÑ„¤ÐÔ³ÐêÀÙ. „·Ð직·Ð ¤Ñ¡ô/£ÄÑö ÀЦѹÐÀÐ ƒ¿°ÀÐظí ÊÐÖ›Ñô‘ДÐÎйÐÔî ‘Ð®ÐÔͯ¦ÐÔÃÔ/³Ð¦Ð¦Ñ§ÊÐÃÔ ¤Ñ¡ô/£ÄÑö „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÔ ³Ð¦Ð¦Ñ§Ë ‡»Ð¦ÙÖÓ„ÊоÙÓ‘Ñ”ÐÔ³Ðê·Ù. 2007-08 ¹ÙÓ ÊÑŹÐÀФД٠£ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи”ÐÎйÐÔî (Gross District Domestic Product) ¤Ñ¡ôÀÐÔ©å·ÐÅö•¦ÙÔÓ ³Ð•¦Ð¦Ñ§ÊÐÄÑ”ÐÔ´ê³ÐÔê. „·Ð¤Ù ÊзЧ ÀФи”ÐÎÐÅö ³ÑÃÖö‘ÐÔÀѤÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐ ÀЦÑÍ´¦ÐÔÔ Ã¾°ÐôÁ¤ÐÔ´ê¤ÐÅÃ.ö …·Ð§·Ñ„ £ÄÙö¦ÐÔÅö¤ÐÔÀÐ ³ÑÃÖö‘ДÐÎÐ ÀÐÔ·°Ðô …¤ÐÔÀÐ ƒ³Ð¤Ð”ÐÎйÐÔî ³ÐÔù٠ÀЦѮÐÃÔ ÊÑ·°ÐôÀÑ”ÐÔ´ê¤ÐÅÃö ÌÑ”ÐÖ ³ÑÃÖö‘ÐÔÀѤÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи”ÐÎÐÔ Ã¾°ÐôÀѷєРÀЦѳÐõ ³ÑÃÖ‘ÐÔ”ÐÎÐ ÀÐÔ·Ðô·ÐÅö¦ÐÔ ƒ³Ð¤Ð”ÐÎйÐÔî ”ÐÔ¤ÐÔ´Ë •¦ÙÖÓ¡¹Ù”ÐÎйÐÔî ¤ÐÖ¼ÊÐÔÀÐ ·ÐØÉæÂԁ·Ð ‘йÑþ©‘Ð ¤Ñ¡ô·ÐÅö „¶þ‘Ð ÀÐÔ³ÐÔê Êс“ô‘Ð º·ÙÓþÆйÑÁ¦ÐÔÀÐÕ ÁÆÐ÷ ¾Ñô‘ý ¹Ù¤ÐÁ¹ÙÖ•¸”Ù ¾°Ñ¤Ð³Ð ƒ’ ƒÆÐ ½ÃÀз°Ðþ¹Ù ¦ÙÖÓ¡¹Ù¦ÐÔ¹Ð÷¦ÐÔ ‘йÑþ©‘Ð ¤Ñ¡ô ‘с¦ÐÔþ³Ñ´õ‘Ð Êс“ô‘Ð ¦ÙÖÓ¡¹Ù (Karnataka State Strategic Statistical Plan)¦ÐÔ¹ÐÔî ¤ÐÖ¼Ë £ÄÑö ÌЁ³Ð·ÐÅö £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи”ÐÎйÐÔî ³Ð•¦Ð¦Ñ§ÊÐÃÔ »Ñõ¤Ð•¿°ÊÐÄÑ„¤ÐÔ³Ðê·Ù. II.£ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐ ÀФи(Gross District Domestic Product) ³Ð¦Ð¦Ñ§‘Ù: £ÄÑö ÌЁ³Ð·ÐÅö £ÄÑö „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀÐÔ³ÐÔê ³ÑÃÖö‘ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî (Gross District Domestic Product) 3 Á·°Ð·ÐÅö ‘Ё®ÐÔͯ¦ÐÔ½ÌÐÔ·Ñ„¤ÐÔ³Ðê·Ù.

250

1. ‡³Ñï·Ð¹Ù Á·°Ð (Production Approach) : ••·ÐÔ ÀÐÈÐþ·Ð ƒÀи°¦ÐÔÅö £ÄÙö/³ÑÃÖö’¹ÐÅö ‡³Ñï¸ÊÐÃï©å ŠÄÑö ÀÐÊÐÔê ÀÐÔ³ÐÔê ÊÙÓÀÙ”ÐÎÐ ÀЦѤÐԑЪÙ偦ÐÔ ©Ôå ÀЦÛÃôÀÐÕ £ÄÑö/³ÑÃÖ’¹Ð ÀÑÉþ‘Ð „·Ñ¦ÐÔ „”ÐÔ³Ðê·Ù. 2. „·Ñ¦ÐÔ·Ð Á·°Ð (Income Approach): ·ÐÔ ÀÐÈÐþ·Ð ƒÀи°¦ÐÔÅö £ÄÙö/³ÑÃÖö’¹ÐÅö ŠÄÑö‡³Ñï·Ð¹Ñ ‟Щ‘ДÐÎÐÔ Ë÷‘ЧÊÐÔÀÐ ¾Ñ¯”Ù, ‘ÐÖÅ /ÀÙӳйÐ,½¯ç ÀÐÔ³ÐÔê ÄѾ°Ð(rent,wage,interest & profit for land,labour,capital & organization)”ÐÎÐ ©Ôå ÀЦÛÃôÀÐÕ £ÄÙö/³ÑÃÖö’¹Ð ÀÑÉþ‘Ð „·Ñ¦ÐÔ „”ÐÔ³Ðê·Ù. 3. ÀÙ›Ðà·Ð Á·°Ð (Expenditure Approach): ·ÐÔ ÀÐÈÐþ·Ð ƒÀи°¦ÐÔÅöö £ÄÙö/³ÑÃÖö’¹ÐÅö ÀÐÊÐÔê ÀÐÔ³ÐÔê ÊÙÓÀÙ”ÐÎйÐÔî ‚§¸ÊÐÃÔ „„¤ÐÔÀÐ ‘۩ԁ¿‘Ð, ÊФБѧ,ÀÐôÀÐÌѤРÀÐÔ³ÐÔê ÀÐÔԁ³Ñ·Ð ÀÐÁ¦ÐÔ”ÐÎÐÔ ÀЦѮÐÔÀÐ ©Ôå ÀÙ›Ðà·Ð ÀЦÛÃôÀÐÕ £ÄÙö/³ÑÃÖö’¹Ð ÀÑÉþ‘Ð „·Ñ¦ÐÔ ƒ„¤ÐÔ³Ðê·Ù. £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî »Ðõ·°Ñ¹ÐÀÑ„ ÀÐÔÖ¤ÐÔ ÀÐÕ¦ÐÔ”ÐÎÑ„ Á•”ЯÊÐÄÑ„¤ÐÔ³Ðê·Ù. 1. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ(Primary Sector): ÊзЧ ÀÐÁ¦ÐÔ·ÐÅö ‘ÙÎЄ¹Ð ÀÐÕ¦ÐÔ”Ðϔ٠£ÄÙö/³ÑÃÖö’¹Ð ÀЦÑÍ´¦ÐÔ „·°Ñ¤Ð·Ð ÀÙÔÓÄÙ ‘ÐØÉ ÀÐÔ³ÐÔê ³Ð³Ðú•½•·°Ð ÀÐÕ¦ÐÔ”Ðϔ٠£ÄÑö/³ÑÃÖö‘ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи¦ÐÔ¹ÐÔî ÄÙ‘ÐÜÌÑ‘ÐÄÑ”ÐÔÀÐÕ·ÐÔ. i. ‘ÐØÉ (³ÙÖÓ©”ѧ‘Ù ÀÐÔ³ÐÔê ¢Ñ¹ÐÔÀѤÐÔ ÊÙÓ§·Ð•³Ù) ii. ƒ¤Ð±ô ÀÐÔ³ÐÔê ÀÐԤДÙÃÊÐ iii. ÁÔÓ¹ÐԔѧ‘Ù iv. ”бҔѧ‘Ù ÀÐÔ³ÐÔê ‘ÐÃÔö ƒ”ٳР2. ¸÷´Ó•¦ÐÔ ÀÐÕ¦ÐÔ (Secondary Sector) : ÊзЧ ÀÐÁ¦ÐÔ·ÐÅö ‘ÙÎЄ¹Ð ÀÐÕ¦ÐÔ”Ðϔ٠£ÄÙö/³ÑÃÖö’¹Ð ÀЦÑÍ´¦ÐÔ „·°Ñ¤Ð·Ð ÀÙÔÓÄÙ £ÄÑö/³ÑÃÖö‘ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи¦ÐÔ¹ÐÔî ÄÙ‘ÐÜ ÌÑ‘ÐÄÑ”ÐÔÀÐÕ·ÐÔ. i. ¹ÙÖӁ·ÑÂÔË·Ð (Registered) ‘Ùڔѧ‘Ù”ÐÎÐÔ. ii. ¹ÙÖÓ•·ÑÂÔËÃö·Ð (Un-Registered) ‘Ùڔѧ‘Ù”ÐÎÐÔ. iii. ºÀЦÑþ± ‘с¦ÐÔþ. iv. Á·ÐÔô›Ðá’ê, ƒºÃ ÀÐÔ³ÐÔê ºÓ¤ÐÔ ÊФн¤Ñ¡Ô.

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3. ³ÐØ´•¦ÐÔ ÀÐÕ¦ÐÔ (Tertiary Sector) : ÊзЧ ÀÐÁ¦ÐÔ·ÐÅö ‘ÙÎЄ¹Ð ÀÐÕ¦ÐÔ”Ðϔ٠£ÄÙö/³ÑÃÖö’¹Ð ÀЦÑÍ´¦ÐÔ „·°Ñ¤Ð·Ð ÀÙÔÓÄÙ £ÄÑö/³ÑÃÖö‘ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи¦ÐÔ¹ÐÔî ÄÙ‘ÐÜ ÌÑ‘ÐÄÑ”ÐÔÀÐÕ·ÐÔ. i. Êѧ”Ù,·ÑÊÑê¹ÐÔ ÀÐÔ³ÐÔê ÊЁ»Ð‘Ðþ (Railways, Transport by other means,Storage and Communication) ii. ÀÑô»Ñ¤Ð, ‡»ÑÌѤР”ÐØÌДÐÎÐÔ (Trade, Hotels and Restaurants) iii. ÀÐÊд (Housing) iv. ¾Ñô’”ý ÀÐÔ³ÐÔê ÁÀÙÔ (Banking and Insurance) v. Ëë¤ÑËê,ÀÑÊÐ ”ÐØÌДÐÎÐ •®Ù³Ð¹Ð ÌÑ”ÐÖ ÀÑô»Ñ¤Ð ÊÙÓÀÙ”ÐÎÐÔ, ÊÑÀÐþ¡º‘Ð „®ÐϳР(Real Estate,Ownership of Dwellings and Business Services including legal services) vi. …³Ð¤Ù ÊÙÓÀÙ”ÐÎÐÔ (Other Services) º·ÙÓþÆйÑÕ¦ÐÔ·Ð º·ÙÓþÆйзЕ³Ù ÀÙÔÓÃÜ•®Ð ÀÐÕ¦ÐÔ”Ðϔ٠³ÑÃÖö‘ÐÔÀѤÐÔ Ã¾°ÐôÁ¤ÐÔÀÐ ÀЦÑÍ´¦ÐÔ¹ÐÔî ‘ÐÄÙÌÑ’ ƒ·Ñ¡Ô”ÐÎйÐÔî ÄÙ‘ÐÜÌÑ‘ÐÄÑ„·Ù. ÀЦÑÍ´•¦ÐÔÔ Ã¾°ÐôÁÃö·Ð ÀÐÔÐϔ٠º·ÙÓþÆйÑÕ¦ÐÔ¸•·Ð ÀЦÑÍ´•¦ÐÔ¹ÐÔî »Ð®Ù·ÐÔ £ÄÙö ÀÐÔ³ÐÔê ³ÑÃÖö‘ÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô ÀФи”ÐÎйÐÔî 2004-05¹ÙÓ ÀÐÈÐþÀйÐÔî ÀÐÔÖà (Ëë¤Ð)ÀÐÈÐþÀйÑî„ (Constant Price) ³Ù”Ù·ÐÔ‘Ùց®ÐÔ 2008-09 ¹ÙÓ ÀÐÈÐþ·Ð ›ÑÅê (Current Price) ¾ÙÄÙ”ÐÎÐÅö „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ‘Ð®ÐÔͯ¦ÐÔÄÑ„·ÐÔì ÀЦÑÍ´¦ÐÔÔ ‘ÙÎЄ¹Ð•´ÀÙ. III. •©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô (Gross District Domestric Product)(ÀÐÔÖà ÀÐÈÐþ:2004-05) ³Ð:‛Ùê: 1 (¤ÐÖ.ÑÐù”ÐÎÐÅö) ³ÐÄÑ·Ñ•¦ÐÔ ‘Ðõ. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ ¸÷´Ó•¦ÐÔ ÀÐÕ¦ÐÔ ³ÐØ´•¦ÐÔ ÀÐÕ¦ÐÔ •©Ôå ³ÑÃÖö‘ÐÔ (¤ÐÖ»ÑÂÔ”ÐÎÐÅö) ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 8 9 10 11 12 1 ¾Ñô®Ð„ 6356 5896 3252 2336 11122 9976 20730 18208 15480 13600 2 ÌѹДÐÄý 16011 14834 2207 1943 16480 15010 34698 31788 14300 13160 3 ÌÑÀÙÓ§ 9184 8546 6735 5542 25688 22848 41607 36936 15750 13980 4 ͤÙÓ‘Ù¤ÐÖ¤ÐÔ 13788 12721 4231 3075 19030 17554 37048 33350 16660 14990 5 ¤Ñ²ÙÓ¾Ù¹ÐÖî¤Ð 25085 23272 16913 12393 27110 24800 69108 60466 21640 18940 Ô 6 ÊÐÀб֤ÐÔ 9098 8441 1720 1435 11432 10263 22250 20139 14770 13370 7 Ç”ÑÞ•ÀÐ 10925 10137 17031 16136 13230 12140 41187 38413 23600 22010 £ÄÙö 90447 83847 52089 42860 124092 112591 266628 239300 17700 15870

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ÀÙÔÓŹР³Ð:‛Ùê 1¤ÐÅö 2004-05 ¹ÙÓ ÊÑŹÐÅö (Base Year) ©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ÄÙ‘ÐÜÌÑ‘ÐÄÑ„ ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ ³ÑÃÖö‘ÐÔ ÀÙÖ·ÐùÙÓ ÊÑë¹Ð (¤ÐÖ. 69,118 ÑÐù) ÌÑ”ÐÖ ¾Ñô®Ð„ ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð (¤ÐÖ. 20,730 ÑÐù) „·Ð¤Ù ÀÐÁ¦ÐÔÀѤÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÔ ÀЦѳÐõ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ³ÑÃÖö‘ÐÔ”ÐÎÐÔ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ÊÑë¹ÐÀйÐÔî »Ð®Ù¸ÀÙ. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ·ÐÅö ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ (¤ÐÖ.25,086 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.6,356 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ¸÷´Ó¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö Ç”ÑÞ•ÀÐ (¤ÐÖ.17,031 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ÊÐÀб֤ÐÔ (¤ÐÖ.1,720 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ³ÐØ´¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ (¤ÐÖ.27,110 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙÖ•¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.11,122 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù £ÄÙö•¦ÐÔ ³ÐÄÑ·Ñ•¦ÐÔ ¤ÐÖ. 17,700-00 ”ÐÏ·ÐÔì, ³ÑÃÖö‘ÐÔÀѤÐÔ ³ÐÄѷс¦ÐÔÀйÐÔî »Ð§ÇÓÅÊÐÄÑ„ Ç”ÑށÀÐ ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 23,600-00 ”ÐÏ·ÐÔì ÀÙÖ·ÐùÙÓ ÊÑë¹Ð·ÐÅö•¦ÐÔÖ ÌÑ”ÐÖ ÌѹДÐÄý ³ÑÃÖö’¹Ð ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 14,300- 00 ”ÐÏ·ÐÔì ‘Ùֹف¦ÐÔ ÊÑë¹Ð·ÐÅö·Ù.

253

IV.2008-09 ¹ÙÓ ÊÑŹР©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô (Gross District Domestric Product for 2008-09)(Ëë¤Ð ¾ÙÄÙ”ÐÎÐÅö :2004-05)(Constant Prices :2004-05) ³Ð:‛Ùê: 2 (¤ÐÖ.ÑÐù”ÐÎÐÅö) ³ÐÄÑ·Ñ•¦ÐÔ ‘Ðõ. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ ¸÷´Ó•¦ÐÔ ÀÐÕ¦ÐÔ ³ÐØ´•¦ÐÔ ÀÐÕ¦ÐÔ •©Ôå ³ÑÃÖö‘ÐÔ (¤ÐÖ»ÑÂÔ”ÐÎÐÅö) ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 8 9 10 11 12 1 ¾Ñô®Ð„ 7429 6888 4468 3203 15109 13707 27006 23798 19260 16970 2 ÌѹДÐÄý 23381 21587 4523 3715 22771 20840 50675 46142 20040 18240 3 ÌÑÀÙÓ§ 16950 15726 10110 8133 37959 34027 65019 57886 23510 20930 4 ͤÙÓ‘Ù¤ÐÖ¤ÐÔ 15873 14624 5773 4157 26630 24747 48276 43528 20730 18690 5 ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ 30020 27874 15072 10862 36035 33281 81127 72018 24270 21540 6 ÊÐÀб֤ÐÔ 5434 5069 3816 2983 15605 14160 24855 22212 15700 14080 7 Ç”ÑÞ•ÀÐ 25164 23294 29221 26935 19211 17780 73597 68010 40271 37210 124 115 729 599 173 158 370 333 23 21 £ÄÙö 251 062 83 88 320 542 555 594 490 150

(¤ÐÖ. ÑÐù”ÐÎÐÅö)

40000 37959 36035 35000

30000 29221 23381

25000 30020 25164 26630

20000 22771 15605 19211 16950 15072 15109 15000 15873 10110 10000 7429 5434 5000 4468 5773 4523 3816 0 ¾Ñô®Ð„ ÌѹДÐÄý ÌÑÀÙÓ§ ͤÙÓ‘Ù¤ÐÖ¤ÐÔ ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ ÊÐÀб֤ÐÔ Ç”ÑށÀÐ

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ÀÙÔÓŹР³Ð:‛Ùê 2 ¤ÐÅö 2004-05 ¹ÙÓ ÊÑŹР(Base Year) ¾ÙÄÙ”ÐÎйÐÔî ”Ð±¹Ù”Ù ³Ù”Ù·ÐÔ‘Ùց®ÐÔ 2008-09¹ÙÓ ÊÑŹÐÅö ©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ÄÙ‘ÐÜÌÑ‘ÐÄÑ„ ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ ³ÑÃÖö‘ÐÔ ÀÙÖ·ÐùÙÓ ÊÑë¹Ð (¤ÐÖ.81,127 ÑÐù) ÌÑ”ÐÖ ÊÐÀб֤ÐÔ ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð (¤ÐÖ.24,855 ÑÐù) „·Ð¤Ù ÀÐÁ¦ÐÔÀѤÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÔ ÀЦѳÐõ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ³ÑÃÖö‘ÐÔ”ÐÎÐÔ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ÊÑë¹ÐÀйÐÔî »Ð®Ù¸ÀÙ.

254

»ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ·ÐÅö ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ (¤ÐÖ.30,020 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ÊÐÀб֤ÐÔ (¤ÐÖ.5,434 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ¸÷´Ó¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö Ç”ÑÞ•ÀÐ (¤ÐÖ.29,221 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.4,468 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ³ÐØ´¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö ÌÑÀÙÓ§ (¤ÐÖ.37,959 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙÖ•¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.15,109 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù £ÄÙö•¦ÐÔ ³ÐÄÑ·Ñ•¦ÐÔ ¤ÐÖ. 23,490-00 ”ÐÏ·ÐÔì, ³ÑÃÖö‘ÐÔÀѤÐÔ ³ÐÄѷс¦ÐÔÀйÐÔî »Ð§ÇÓÅÊÐÄÑ„ Ç”ÑށÀÐ ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 40,271-00 ”ÐÏ·ÐÔì ÀÙÖ·ÐùÙÓ ÊÑë¹Ð·ÐÅö•¦ÐÔÖ ÌÑ”ÐÖ ÊÐÀб֤ÐÔ ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 15,700-00 ”ÐÏ·ÐÔì ‘Ùֹف¦ÐÔ ÊÑë¹Ð·ÐÅö·Ù. V.2008-09 ¹ÙÓ ÊÑŹР©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô (Gross District Domestric Product for 2008-09)(›ÑÅê ¾ÙÄÙ”ÐÎÐÅö :2008-09)(Current Prices :2008-09) ³Ð:‛Ùê: 3 (¤ÐÖ.ÑÐù”ÐÎÐÅö) ³ÐÄÑ·Ñ•¦ÐÔ ‘Ðõ. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ ¸÷´Ó•¦ÐÔ ÀÐÕ¦ÐÔ ³ÐØ´•¦ÐÔ ÀÐÕ¦ÐÔ •©Ôå ³ÑÃÖö‘ÐÔ (¤ÐÖ»ÑÂÔ”ÐÎÐÅö) ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 8 9 10 11 12 1 ¾Ñô®Ð„ 13366 12374 5744 4260 19189 17371 38299 34005 27310 24250 2 ÌѹДÐÄý 19442 18029 5682 4743 28482 25985 53606 48757 21200 19280 3 ÌÑÀÙÓ§ 23383 21690 13179 10860 46536 41558 83098 74108 30040 26790 4 ͤÙÓ‘Ù¤ÐÖ¤ÐÔ 32123 29629 7330 5435 32975 30541 72428 65606 31100 28170 5 ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ 35553 33023 18690 13778 44133 40688 98376 87488 29430 26170 6 ÊÐÀб֤ÐÔ 14546 13496 4772 3798 19351 17489 38669 34784 24520 22060 7 Ç”ÑÞ•ÀÐ 21430 19861 39039 36383 23766 21922 84236 78165 46090 42770 159 148 944 792 214 195 468 422 £ÄÙö 29720 26810 843 102 36 57 432 554 712 913 (¤ÐÖ. ÑÐù”ÐÎÐÅö)

50000 46536 44133 45000

40000 39039 35553 32975 35000

30000 32123 28482 25000 23383 19351 23766 19189 21430 20000 18690 19442 15000 13179 14546 10000 13366

5000 5744 7330 5682 4772 0 ¾Ñô®Ð„ ÌѹДÐÄý ÌÑÀÙÓ§ ͤÙÓ‘Ù¤ÐÖ¤ÐÔ ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ ÊÐÀб֤ÐÔ Ç”ÑށÀÐ

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255

ÀÙÔÓŹР³Ð:‛Ùê 3 ¤ÐÅö 2008-09¹ÙÓ ÊÑŹÐÅö ›ÑÅê ¾ÙÄÙ”Ðϔ٠(Current Prices) ©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ÄÙ‘ÐÜ ÌÑ‘ÐÄÑ„ ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ ³ÑÃÖö‘ÐÔ ÀÙÖ·ÐùÙÓ ÊÑë¹Ð (¤ÐÖ. 98,376 ÑÐù) ÌÑ”ÐÖ ¾Ñô®Ð„ ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð (¤ÐÖ.38,299 ÑÐù) „·Ð¤Ù ÀÐÁ¦ÐÔÀѤÐÔ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÔ ÀЦѳÐõ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ³ÑÃÖö‘ÐÔ”ÐÎÐÔ ¾ÙÓ¤Ù ¾ÙÓ¤Ù ÊÑë¹ÐÀйÐÔî »Ð®Ù¸ÀÙ. »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ·ÐÅö ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ (¤ÐÖ.35,553 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.13,366 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ¸÷´Ó¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö Ç”ÑÞ•ÀÐ (¤ÐÖ.39,039 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙց¸·Ðì¤Ù ÊÐÀб֤ÐÔ (¤ÐÖ.4,772 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù. ³ÐØ´¦ÐÔ ÀÐÁ¦ÐÔ·ÐÅö ÌÑÀÙÓ§ (¤ÐÖ.46,536 ÑÐù) ³ÑÃÖö‘ÐÔ »ÐõµÐÀÐÔ ÊÑë¹Ð ÌÙÖ•¸·Ðì¤Ù ¾Ñô®Ð„ (¤ÐÖ.19,189 ÑÐù) ³ÑÃÖö‘ÐÔ ‘Ùֹف¦ÐÔ ÊÑë¹Ð »Ð®Ù¸·Ù £ÄÙö•¦ÐÔ ³ÐÄÑ·Ñ•¦ÐÔ ¤ÐÖ. 29,720-00 ”ÐÏ·ÐÔì, ³ÑÃÖö‘ÐÔÀѤÐÔ ³ÐÄѷс¦ÐÔÀйÐÔî »Ð§ÇÓÅÊÐÄÑ„ Ç”ÑށÀÐ ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 46,090-00 ”ÐÏ·ÐÔì ÀÙÖ·ÐùÙÓ ÊÑë¹Ð·ÐÅö•¦ÐÔÖ ÌÑ”ÐÖ ÌѹДÐÄý ³ÑÃÖö’¹Ð ³ÐÄѷс¦ÐÔ ¤ÐÖ. 21,200-00 ”ÐÏ·ÐÔì ‘Ùֹف¦ÐÔ ÊÑë¹Ð·ÐÅö·Ù. VI. ƒ.£ÄÑö·Ñ¦ÐÔ·ÐÅö £ÄÙö¦ÐÔ ÊÑë¹Ð: ¤Ñ¡ô·Ð ÁÁ·°Ð £ÄÙö”Ðϔ٠£ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ÌÙÖÅ˷єР¾Ù•”ÐÎÐÖ¤ÐÔ ¹Ð”ФР£ÄÙö•¦ÐÔÔ £ÄÑö „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÅö ÀÙÖ·ÐùÙÓ ÊÑë¹Ð·ÐÅö·Ðì¤Ù ÌÑÀÙÓ§ £ÄÙö•¦ÐÔÔ 23¹ÙÓ ÊÑë¹Ð·ÐÅö·Ù ³Ð:‛Ùê:4(a) (¤ÐÖ.ÑÐù”ÐÎÐÅö) 2008-09 ‘Ðõ. £ÄÙö Ëë¤Ð ¾ÙÄÙ”ÐÎÐÅö (04-05 ¤Ð•³Ù) ›ÑÅê ¾ÙÄÙ”ÐÎÐÅö (2008-09) ÊÑë¹Ð ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 1 ¾Ù•”ÐÎÐÖ¤ÐÔ(¹Ð) 83,63,851 73,70,276 1,05,50,455 93,55,872 1 2 ÌÑÀÙÓ§ 3,70,555 3,33,594 4,68,712 4,22,913 23 ¤Ñ¡ô 2,41,85,153 21,567,746 3,07,59,525 2,75,81,268 State „.³ÐÄѷс¦ÐÔ·ÐÅö £ÄÙö¦ÐÔ ÊÑë¹Ð: ¤Ñ¡ô·Ð ¾ÙÓ¤Ù ¾ÙÓ¤Ù £ÄÙö”ÐÎÐ ³ÐÄѷс¦ÐÔÀйÐÔî ÄÙ‘ÐÜ ÌÑ‘ÐÄÑ„ ¾Ù•”ÐÎÐÖ¤ÐÔ ¹Ð”ФзР³ÐÄÑ·Ñ•¦ÐÔÀÐÕ ÀÙÖ·ÐùÙÓ ÊÑë¹Ð »Ð®Ù¸·Ðì¤Ù ÌÑÀÙÓ§ £ÄÙö•¦ÐÔÔ 24 ¹ÙÓ ÊÑë¹Ð »Ð®Ù¸·Ù. ³Ð:‛Ùê:4(b) (¤ÐÖ»ÑÂÔ”ÐÎÐÅö) 2008-09 ‘Ðõ. £ÄÙö Ëë¤Ð ¾ÙÄÙ”ÐÎÐÅö (04-05 ¤Ð•³Ù) ›ÑÅê ¾ÙÄÙ”ÐÎÐÅö(2008-09) ÊÑë¹Ð ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 1 ¾Ù•”ÐÎÐÖ¤ÐÔ (¹Ð) 1,16,732 1,02,865 1,47,250 1,30,577 1 2 ÌÑÀÙÓ§ 23,490 21,150 29,720 26,810 24

256

¤Ñ¡ô 41,751 37,233 53,100 47,614 State VII. £ÄÑö·Ñ¦ÐÔ·ÐÅö „„¤ÐÔÀÐ ½·ÐÄÑÀвٔÐÎÐÔ: 2004-05¹ÙÓ ÊÑŹРÀÐÔÖÃÀÐÈÐþ (Base Year)·Ð ¾ÙÄÙ”ÐÎÐÅö, 2008-09¹ÙÓ ÊÑŔ٠Ëë¤Ð ¾ÙÄÙ (Constant Prices) ÀÐÔ³ÐÔê ›ÑÅê ¾ÙÄÙ (Current Prices) ”Ðϔ٠©Ôå £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô (GDDP) ÀÐÔ³ÐÔê ºÀÐ÷ÎÐ „·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎÐÅö (NDDP) „„¤ÐÔÀÐ ½·ÐÄÑÀвٔÐÎÐ ÁÀФДÐÎйÐÔî ³Ð:‛Ùê 5 ¤ÐÅö ÁÀЧÊÐÄÑ„·Ù. ³Ð:‛Ùê: 5 (¤ÐÖ.ÑÐù”ÐÎÐÅö) 2004-05 2004-05 2008-09 ‘Ðõ. ³ÑÃÖö‘ÐÔ (Base Year) (Constant Prices) (Current Prices) ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 7 8 1 ¾Ñô®Ð„ 20730 18208 27006 23798 38299 34005 2 ÌѹДÐÄý 34698 31788 50675 46142 53606 48757 3 ÌÑÀÙÓ§ 41607 36936 65019 57886 83098 74108 4 ͤÙÓ‘Ù¤ÐÖ¤ÐÔ 37048 33350 48276 43528 72428 65606 5 ¤Ñ²ÙÓ¾Ù¹ÐÖî¤ÐÔ 69108 60466 81127 72018 98376 87488 6 ÊÐÀб֤ÐÔ 22250 20139 24855 22212 38669 34784 7 Ç”ÑÞ•ÀÐ 41187 38413 73597 68010 84236 78165 £ÄÙö 266628 239300 370555 333594 468712 422913

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450000 468712

400000 370555

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300000 266628

250000 333594

200000

150000 239300

100000

50000

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257

VIII. ÀÐÁ¦ÐÔÀѤÐÔ ÆÙӑЮÐÀѤÐÔ ÀЦÑÍ´¦ÐÔÔ ‘ÙÎЄ¹Ð•´ÀÙ: ÀÐÁ¦ÐÔÀѤÐÔ £ÄÑö·Ñ¦ÐÔ ƒ·Ñ¡Ô”ÐÎйÐÔî ÁÆÙöÓÉ˷єР³ÐØ´•¦ÐÔ ÀÐÕ¦ÐÔ ÀÙÖ·ÐùÙÓ ÊÑë¹Ð, »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ Š¤Ð®Ð¹ÙÓ ÊÑë¹Ð ÀÐÔ³ÐÔê ¸÷´Ó¦ÐÔ ÀÐÁ¦ÐÔ ÀÐÔ֤йÙÓ ÊÑë¹ÐÀйÐÔî »Ð®Ù·ÐÔ‘Ùց¯·Ù. …·Ð¹ÐÔî ”ÐÀÐÔºÊÐÄÑ„ »ÑõµÐÁÔ‘Ð ÀÐÁ¦ÐÔ¸·Ð ½¤ÐÔ´ê¤ÐÔÀÐ „·Ñ¦ÐÔ ‘ЯÀÙԁ¦Ð¦Ñ”ÐÔ´ê·ÐÔì ³ÐØ´•¦ÐÔ ÀÐÁ¦ÐÔ¸·Ð ½¤ÐÔ´ê¤ÐÔÀÐ „·Ñ¦ÐÔ ÌÙ›Ñà”ÐÔ´ê·Ù …·Ð§·Ñ„ ‘ÐØÉ ÀÐÔ³ÐÔê³Ð³Ðú•½•¸³Ð ÀÐÕ¦ÐÔ”ÐÎÐÅö …¤ÐÔÀÐ ÊÐÀÐÔÊÙô”ÐÎйÐÔî ”ÐÔ¤ÐÔ´ÊÐÔÀÐշФР¢ÙÖ³Ù”Ù ÊзЧ ÀÐÁ¦ÐÔ·Ð „·Ñ¦ÐÔÀйÐÔî ÌÙœàÊÐÔÀÐշБÙÜ ¦ÙÖÓ¡¹Ù” ÐÎйÐÔî ¤ÐÖ¼ÊÐÔÀÐÕ·ÐÔ ƒ´ ƒÀÐÆÐôÀÑ„·Ù. (¤ÐÖ.ÑÐù”ÐÎÐÅö) 2008-09 ‘Ðõ. ÀÐÕ¦ÐÔ Ëë¤Ð ¾ÙÄÙ”ÐÎÐÅö (04-05 ¤Ð•³Ù) ›ÑÅê ¾ÙÄÙ”ÐÎÐÅö (2008-09) ÊЕ •©Ôå ºÀÐ÷ÎÐ •©Ôå ºÀÐ÷ÎÐ 1 2 3 4 5 6 1 »ÑõµÐÁÔ‘Ð 33.53 34.50 34.10 35.01 2 ¸÷´Ó•¦ÐÔ 19.50 17.98 20.14 18.75 3 ³ÐØ´•¦ÐÔ 46.97 47.52 45.76 46.24 •©Ôå 100.00 100.00 100.00 100.00

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258

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5a. Gross District Domestic Product– compilation and its uses* Introduction: Gross District Domestic Product (GDDP) represents the sum of economic value of all goods and services produced within the geographical boundary of the district. All Developing or developed country uses the GDP to know there current and constant development status. GDP is useful tool to know the economic status of the area, region, district, state or even economic status of the country. To develop a district or a region, it is necessary to have a prior knowledge of the level of economic development of that region or district. The district income estimates assumes much importance as an indicator of development. The district income estimates also bring to light the inter district variations in the economic development and help the planners to set priority in formulating development plans for each district depending upon its level of backwardness. GDDP shows us an overview of total of the economic value of all goods and services produced within the district, irrespective of the fact whether the income is owned by persons inside the district or outside. Compilation of DDP is a painstaking effort. The methodology for compiling the estimates of GDP consists in dividing the whole economy into various sectors comprising primary, secondary and tertiary activities. District income, are compiled by a combination of production, income and expenditure approaches by economic activity, such as agriculture, forestry, fisheries, mining, manufacturing, electricity, construction and services. Method of compiling Gross Domestic Product estimates: The methodology for compiling the estimates of GDP consists in dividing the whole economy into various sectors comprising primary, secondary and tertiary activities. Primary Sector: 1. Agriculture (including Livestock) 2. Forestry and Logging 3. Fishing 4. Mining and Quarrying. Secondary Sector: 5. Manufacturing a) Registered b) Un-registered. 6. Construction 7. Electricity, Gas and Water Supply

Tertiary Sector: 8. Transport, Storage and Communication a) Railways b) Transport by other means c) Storage d) Communication

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* Sri Srinivas Rao, CPO, Kodagu,

9. Trade, Hotels and Restaurants 10. Banking and Insurance 11. Real Estate, Ownership of Dwellings and Business Services including legal services. 12. Public Administrations 13. Other Services. The income estimates from the above mentioned sectors are worked out in any one or more of the following three methods. i) Production approach: This approach involves evaluation of all the goods and services produced within the district during a period of time from which are deducted the inputs and depreciation, to get the estimates of income. This Approach used in sector such as, Agriculture (including Livestock), Forestry and Logging, Fishing, Mining and Quarrying, Manufacturing (Registered). ii) Income approach: The aggregate income in this method is viewed to have been distributed among the four factors of production viz., Land, Labor, Capital and Enterprises in the form of rent, wages, interest and profits. This Approach used in sector such as, Manufacturing(unregistered), Electricity, Gas and Water Supply, Transport, Storage and Communication, Trade, Hotels and Restaurants, Banking and Insurance, Real Estate, Ownership of Dwellings and Business Services, including legal services, Public Administration, Other Services. iii) Expenditure approach: This approach is based on measurement of income at the stage of disposal. All that is produced is either ultimately consumed or a part of it is saved for future consumption or future production of goods and services. The money value of consumption expenditure plus the savings gives the Income. This Approach used in construction sector. Compilation of DDP requires extensive data on the economic activities carried out within the geographical boundaries of District. The data that is available at district level on various economic activities is not sufficient for exhaustively measuring the DDP. Therefore, State level estimates are allocated to the districts on the basis of suitable district wise indicators. Source of data for compiling district domestic product: The compilation of DDP is depends on availability of data at district level. District level DDP is suffering from number of limitation that related to the inadequacy of data and methodology adopted and data base at the district level is far from satisfaction for estimation of income at the district level. Primary Sector and Manufacturing (Registered) Sector, is fairly sound, but appears to be very scanty in respect of remaining sectors. In the case of non commodity producing sectors, where the district wise basic data are not available, the State

261 level estimates are allocated to the districts on the basis of suitable district wise indicators. Data source has been briefed sector wise below. Agriculture: This sector uses the production Approach to compile the DDP. We used Area, Yield, Production and Prices to find the output value of the most crops in agriculture sector. District Statistic Office: Supplies the data such as Area, Yield and Production for several crops such as Cerals, Pulses, Oil seeds, condiments and spices, Vegetables and Byproducts. Used Fully Revised Estimation(FRE) for Yield and Annual Season Crops Report(ASCR) for Area reference. APMC: Marketing current prices are supplied by APMC and most of the prices for crops downloaded from the “Krishi Marata Vahini Website”. Horticulture Department: This department supplies Area, Yield and Production for Vegetable and Fruits crops. DC Office: Irrigation charges are supplied by the dc office for the compilation of agriculture and Life stock. Data Limitation in Agriculture: Area: Basically Crop Area is based on Record of Rights, Tenancy and Crop Inspection (RTC) which maintained by village account in village level. RTC records have not been updating in all three season and even though crop updating has done. Total area under each crop is not compiled by integrating data of each village level RTC recodes rather then it calculated by increasing or decreasing last year area. To get a real database reconciliation at the village level must done properly by the concerned department. Crops which are grown in forest area, government land or canal not reflected properly in the database. Mixed Farming: Mixed formation is mainly found in the horticulture sector and some major crops in agriculture, where combination of the crop will be grown. Here the actual value of the production or estimation is not done effectively; Estimation will be limited for the major crops in which minor crop area not properly reflected, for example cocoa and pepper forms found in coconut and areca-nut farms, Pepper, cocoa, cardamom found in the coffee estate. The plantation crops such as coconut, areca-nut, banana etc found near each home stud land, stray fruit trees found, normally in estate, forest area and bund area are not at all reflected which contribute sizable share. Yield: The yield estimates of major crops are obtained through analysis of scientifically designed crop cutting Experiment (CCE) conducted under scientifically designed general Crop Estimation Surveys (CES). Yield estimation has been under estimated due to insurance claim or even to get a compensation for several crops. Yield estimate for all crops are not available in the district level for which state estimate have been used which will not reflect the reality of the district. 262

Price: The District DDP Suffered with local market prices. The District level DDP compilation is processed based on district market prices, if district price not found then state price has been allocated on several crops. These allocations have made district level DDP unsatisfied and unreliable comparing with state level DDP estimation. Livestock: This sector also uses the production Approach to compile the DDP. As this approach it uses Price and Production data to get the Output value of the livestock. District Animal Husbandry: Price and Production of the livestock are supplied by District Animal Husbandry, It contain the data on Milk, Egg, Meat, Wool and other livestock products. Data Limitation in Livestock: Data on taluk-wise livestock population are available from the respective reports on livestock census. For the interceptional years, estimation has been attempted by extrapolating the data on the basis of observed growth rates between the last two censuses. By observing a village level livestock census, limited number of population has to be eliminated from the estimation, such as sheep‟s, buffalo, poultry, pig found in the houses has been eliminate while estimating the census data. Norms of yield rates of different livestock products are available at the state level and adopted uniformly at district level. Forestry and Logging: The estimates of the district domestic product from forestry sector are prepared by following production approach except in case of fuel wood for which consumption approach is applied. District Forest Department: Price and Production have been supplied by the district forest office. Taluk or Region level data have been used to compile output value for Major and Minor forest Products. For firewood consumption, NSSO consumption and expenditure survey estimates is used, since district level estimate is not available state level estimates has been used. Per capita consumption multipliable by population is used to get this estimate. But in forward districts actual consumption of firewood is less, hence this estimate over estimates the actual consumption. Fishing: The estimation for this sector has been prepared by adopting production approach. Data have been collected taluk-wise for compiling Inland and Marine fish. District Fisheries Department: Taluk wise Price and Production for the Inland and Marin fish compilation have been supplied by district fisheries department.

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Mining and Quarrying: The compilation for this sector carried out based on Production approach method. Production and Price have been used to get the output value of the sector. Mines and Geology Department: Production and Prices are collected from the Mines and Geology Department and Value of output will be calculated. Manufacturing ( registered and unregistered): In this sector State level estimates of this sector are distributed among the district in the proportion of the taluk wise workforce in the district. Industries and commerce department: Taluk wise Number of workforce has been collected from the Department of Industries and Commerce, and the district value of output has been allocated based on the basis of the data supplied by the department. Construction: Estimates the Gross Domestic Product for the construction sector are worked out by expenditure approach. The District level estimates of GVA from this sector is to be allocated to the Taluka‟s on the basis of working force for public (except local bodies) and private sector separately and in respect of local bodies, data collected from them have to be utilized. PRI and ULB: By analyzing CLB, the public sector contribution can be obtained. This data has been used to allocate the district figure in the proportion to taluk-wise expenditure collected from PWD and PRI‟s and ULB‟s. Data Limitation in Construction: This sector is suffering from major limitation of data on private construction area. Here Value of output for private sector may not be calculated due unavailability of the data, instead of GVA have been allocated based on the expenditure supplied by the local bodies in the public sector. The observation on development in district shows the major participation of the private sector, but here the unavailability of data on private construction actually under estimate District Domestic Product. Electricity, Gas and Water Supply: This sector uses income approach method to compile GDP. Here District GVA has been allocated in proportion to taluk-wise. District Statistic Office: To estimates the district DDP, GVA has been allocated in proportion to taluk-wise data the available in the District Glance supplied by district statistic office.

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CLB‟s Web Application: The Number of workforce engaged in water supply in public sector has been accessed by the web application projected by KSSDA and same has been used to allocate the district GVA as a Taluka‟s Output Value.

Transport: This sector also uses income approach method to compile GDP. District Statistic Office: Required source data has been supplied by the district statistic office to compile the output for this sector. Communication: Estimates of District GVA have been allocated among the various taluka‟s in proportion of number of person engaged in communication services in the district. BSNL Office: Data has been supplied by the talukas‟s BSNL office to compile GDP of this sector. GVA has been allocated to each taluk in the district on the base of Workforce available in the BSNL Office in each taluk. Data Limitation in Communication: DDP compilation for communication sector limits the BSNL office workforce available in the particular region. The compilation process has not been affected on private area where the major communication process has been found. Modern development supports various ways of communication process such as broadband communication, Postal communication, Media communication, 2nd Generation or even 3rd Generation communication have made revolutions in communication sector. Most of the communication process involved in private sector only, But while compiling the DDP these area has been eliminated due unavailability of source data. Banking and Insurance: The district level estimates of GVA have been allocated to the tluka‟s on the basis of number of persons engaged in Banking and Insurance services. District Employment Office: This department supplied the Banking sector workforce data to allocate district GVA as a taluk-wise GVA. LIC OF India: Taluk-wise workforce detail has been supplied by the each LIC office from the each taluk to Allocate the GVA based on the workforce engaged in the insurance sector. Legal services: The district level estimates of GVA have been allocated to the taluka‟s on the basis of number of persons engaged in Legal Services. District bar Association: Taluk-wise workforce detail has been supplied by District Bar Association. 265

Education: The district GVA has been allocated based on the data available in District Glance. District Statistic Office: The Data has been taken from District Glance Supplied by the District Statistic Office and used to allocate the district GVA as taluka‟s value of output. Health: District GVA has been allocated to taluk wise based on the number of workforce in the taluk-wise. District Health Office: Taluk wise number of workforce has been supplied by the District heath office to compile DDP of This sector. Sanitation: To estimates the GDP District GVA has been allocated in proportion to accessed by the web application developed by KSSDA. CLB‟s Web Application: The Number of workforce engaged in sanitation in public sector has been accessed by the web application projected by KSSDA and same has been used to allocate the district GVA as a Taluka‟s Output Value. Data base problem and what has to be done to overcome this Problem? Primary Sector Data limitation in the primary sector should be resolved in village level to get the accuracy and reliable database, Small area estimation methodology also useful technique to get data accuracy in the primary sector such as agriculture and horticulture. Agriculture: Here the major database accuracy has to done in major and minor crops for area and yield rate. Area: Reconciliation at village level must do properly, these helps to monitoring area change(increment and decrement in area crop) so that the real database on area will be integrated on each crops. The area estimation on small season should be done properly for all crops including mixed crops. Mixed Crop area estimation also done properly, it helps to get accuracy in the area for all mixed crops. Should have detailed cadastral survey maps, frequently updated land records and the institution of a permanent village reporting agency, the district has all the necessary means to produce reliable and timely statistics. Yield: The second most important component of production statistic is yield rates. The yield estimate of major crops are obtained through analysis of scientifically designed crop cutting experiments (CCE) conducted under scientifically designed general crop estimation surveys (CES), for remaining crop yield estimate calculated based on certain other scientific method at district level. Especially horticultural land crop for most of the crops yield estimate not available at district level, some methodology must adopt to get yield estimate at district level.

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Special measures are needed to improve the response to increase the acceptability and reliability of yield estimation at village level. Price: Need to build an accurate system to get local area prices for all crops in the district; it helps to farmer to know the local market prices and planner to get an accuracy market price in the district. Secondary Sector& Tertiary Sector In the case of non commodity producing sectors, where the district wise basic data are not available, the State level estimates are allocated to the districts on the basis of suitable district wise indicators. In this sector special effort has to carry out to get an accurate and reliable data. Specially privatized database need be build in construction, communication, transport and other sector by planning an special program in regional level. Source data which does not tallied with District value while compiling the DDP: In some sector taluk-wise data has not been tallying with the District figure. The actual Supplied figure showing some variation while compiling the DDP. Forestry: The Taluk-wise Data have been supplied by the District Forestry Department such as Production and Price showing huge variation while compiling the DDP output value. Here production should be entered in Tons and Price also calculated “price per ton”. The Production is showing higher value comparing the district figure, and price also showing huge amount for per ton for forest product. Mining and Quarrying: In this sector also taluk-wise Data showing the variation while compiling the district domestic product. Here Mines and Geology Department supplied the actual figure, but it showing huge differentiation while calculating the output value for this sector. Uses of compiling district domestic product. The compiled District Domestic Product Gives an Overview of economic development of a sector, region, taluka‟s or district. It is useful tool to plan an economic development a particular sector to lead develop a country or a state. The compiled estimates also bring to light the inter district variations in the economic development and help the planners to set priority in formulating development plans for each district. Here we listed uses of compiling district domestic product. 1. Shows the sector wise development of the district or region: The compiled District domestic Product shows an overview of all sectors and figures us complete economic structure of the particular sector. Also it shows the income in the particular sectors and region. It helps planner to implement developing plan on particular

267 sector or a region and gives a geographical economic structure for the developing structure to government. 2. Differentiate the economic development of the region or a district: The compiled District domestic figures us an economic development of the region or district and helps us to conclude, differentiate of economic activities and development between the district and region(taluka‟s). This helps us to map a strongest economic region in the district and helps to project the developing activities in the particular region or in the district. 3. Helps to Prepare an Human Development Report: Preparation of district income estimates is one of the indicators to construct a composite Human Development Index for the inclusion in the Human Development Report. 4. Helps to release the Grants to Government sector: The compiled District domestic Product helps government sector to grants the investment based on the economic development of the particular region or district. It gives graphs on backward economic activities in the region or a district and helps plan and release the grants on the particular economic activities of the region or district. Conclusion: The compiled District domestic Product reflects the development of the district, state or nation. As we discussed it proves the “importance of compilation on the region”. To know the economic status of the particular sector in the region, it‟s necessary to estimate the economic development of that sector on the region and finally generate income on the particular sector. In this context, the district income estimates assumes much importance as an indicator of development. The district income estimates also bring to light the inter district variations in the economic development and help the planners to set priority in formulating development plans for each district, depending upon its level of backwardness. The district income is defined as the sum total of the economic value of all goods and services produced within the district. Economic development plays major role in the development of the nation, for grass root level development this compilation exercise at taluk level much needed.

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(Policy decision) vÉUÉzÀÄPÉƼÀî®Ä F GzÀåªÀÄUÀ½UÉ ¸ÀA§A¢ü¹zÀ ºÀ®ªÁgÀÄ ªÀiÁ»wUÀ¼ÀÄ ¨ÉÃPÁVzÀÄÝ, EzÀPÁÌV ««zsÀ ¸À«ÄÃPÉëUÀÀ¼À£ÀÄß PÉÊUÉƼÀî¯ÁUÀÄwÛzÉ. DyðPÀ ZÀlĪÀnPÉ £ÀqɸÀÄwÛgÀĪÀ ««zsÀ GzÀåªÀÄUÀ¼À ¥ÉÊQ gÁµÀÖç ªÀÄlÖzÀ°è ¸ÀzÀåPÉÌ PÉêÀ® 1948 ªÀÄvÀÄÛ PÁSÁð£É PÁAiÉÄÝ gÀ section 2m(i) 2m(ii) CrAiÀÄ°è £ÉÆÃAzÀtÂAiÀiÁzÀ vÀAiÀiÁjPÁ ºÁUÀÆ zÀÄgÀ¹Ü WÀlPÀUÀ¼À ¥ÀnÖ ªÀiÁvÀæ ®¨sÀå«zÉ. DzÀgÉ ¨ÉÃgÉ ªÀ®AiÀÄUÀ¼À CrAiÀÄ°è vÀAiÀiÁjPÉ, ªÀiÁgÁl/«vÀgÀuÉ, ¸ÉêÁ ZÀlĪÀnPÉUÀ¼À°è ¤gÀvÀªÁVgÀĪÀ WÀlPÀUÀ¼À ¥ÀnÖ ®¨sÀå«gÀĪÀÅ¢®è. EzÀjAzÁV ºÀ®ªÁgÀÄ ¸À«ÄÃPÉëUÀ¼À£ÀÄß PÉÊUÉƼÀî®Ä ¸ÁzsÀåªÁUÀÄwÛ®è. F »£É߯ÉAiÀÄ°è ¨sÁgÀvÀ ¸ÀPÁðgÀ J¯Áè ¸ÀAWÀnvÀ ªÀÄvÀÄÛ C¸ÀAWÀnvÀ ªÀ®AiÀÄUÀ¼À°èAiÀÄ vÀAiÀiÁjPÉ, ªÀiÁgÁl/«vÀgÀuÉ ºÁUÀÆ ¸ÉêÉUÀ¼À°è ¤gÀvÀªÁVgÀĪÀ PÉÊUÁjPÉ/GzÀåªÀÄUÀ¼À ¥ÀnÖAiÀÄ£ÀÄß vÀAiÀiÁj¸ÀĪÀ §UÉÎ wêÀiÁð¤¹zÉ. EAvÀºÀ ¥ÀnÖAiÀÄ£ÀÄß “Common Business Register (CBR)‟‟ JAzÀÄ PÀgÉAiÀįÁVzÉ. 13£Éà ºÀtPÁ¸ÀÄ DAiÉÆÃUÀzÀ ²¥sÁágÀ¹ì£ÀAvÉ gÁdåzÀ°è EzÀgÀ C£ÀĵÁ×£ÀªÁUÀ¨ÉÃPÁVzÉ. EzÀPÁÌV gÁdå ªÀÄlÖzÀ°è zÉñÀzÀ°èAiÉÄà ¥ÀæxÀªÀÄ ¨ÁjUÉ DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ

¤zÉÃð±À£Á®AiÀÄzÀ ªÀw¬ÄAzÀ MAzÀÄ “Common Business Register Cell” DgÀA©ü¸À¯ÁVzÉ.

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271

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2. ªÀgÀªÀiÁ£À «zsÁ£À:- F «zsÁ£ÀzÀ°è f¯ÉèAiÀÄ DzÁAiÀĪÀ£ÀÄß 4 CA±ÀUÀ¼À°è «AUÀr¸À¯ÁVzÉ. CªÀÅUÀ¼ÉAzÀgÉ d«ÄãÀÄ, PÁ«ÄðPÀ, §AqÀªÁ¼À ªÀÄvÀÄÛ JAlgï¥ÉæöʸÀ¸ïUÀ½AzÀ §gÀĪÀ ¨ÁrUÉ, ªÉÃvÀ£À 3. ªÉZÀÑ «zsÁ£À:- F «zsÁ£ÀªÀ£ÀÄß «¯ÉêÁj ºÀAvÀzÀ°è DzÁAiÀÄ D¼ÀvÉAiÀÄ DzsÁgÀzÀ ªÉÄÃ¯É ªÀiÁqÀ®ànÖzÉ EzÀÄ ¸ÀgÀPÀÄ ªÀÄvÀÄÛ ¸ÉêÉUÀ¼À GvÁàzÀ£ÉUÀ¼À §¼ÀPÉ CxÀªÁ ¨sÀ«µÀåPÁÌV G½¹zÀ ºÀtzÀ ªÀiË®åzÀ ¸ÉÃªÉ ªÀÄvÀÄÛ ¸ÀgÀPÀÄUÀ¼À£ÀÄß CzsÁj¹zÉ ºÀtzÀ ªÀiË®åvÉ ªÀÄvÀÄÛ G½PÉ DzÁAiÀĪÀ£ÀÄß ¤ÃqÀÄvÀÛzÉ. DzÁAiÀÄ = ºÀtzÀ ªÀiË®åvÉ + G½PÉ

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1. PÀȶªÀ®AiÀÄ ( vÉÆÃlUÁjPÉ ªÀÄvÀÄÛ eÁ£ÀĪÁgÀÄ ¸ÉÃjzÀAvÉ) PÀȶ (vÉÆÃlUÁjPÉ ¸ÉÃjzÀAvÉ) :- f¯ÉèAiÀÄ°è ¨É¼ÉAiÀÄĪÀ J¯Áè ¥ÀæªÀÄÄR ªÀÄÄRå PÀȶ ªÀÄvÀÄÛ vÉÆÃlUÁjPÉ ¨É¼ÉUÀ¼À ºÁUÀÆ CªÀÅUÀ¼À G¥À GvÀà£ÀßUÀ¼À MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®åªÀ£ÀÄß PÀAqÀÄ»rAiÀÄĪÀ ªÀÄÆ®PÀ PÀȶªÀ®AiÀÄzÀ¯ÁèUÀĪÀ f¯Áè DzÁAiÀÄ CAzÁd£ÀÄß PÀAqÀÄ»rAiÀħºÀÄzÀÄ. DzÀgÉ J¯Áè f¯ÉèUÀ¼À°èAiÀÄÆ ¨É¼ÉUÀ¼À GvÁàzÀ£É ªÀÄvÀÄÛ ¨É¼ÀUÀ¼À ¨É¯ÉUÀ¼ÀÄ MAzÉà jÃwAiÀÄ°ègÀĪÀÅ¢®è DzÀÝjAzÀ PɼÀPÀAqÀAvÉ ¨É¼ÉUÀ¼À£Áߢüj¹ f¯ÉèAiÀÄ MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®åªÀ£ÀÄß PÀAqÀÄ »rAiÀħºÀÄzÀÄ. CªÀÅUÀ¼ÉAzÀgÉ Sl.No Sector Indicator Used Agriculture ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À 1. Cerals, «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À 2. Pulses, ( DES) 3.Oil Seed ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ¥ÀæPÀn¹gÀĪÀ ¥ÀĸÀÛPÀ¢AzÀ 4. Sugar Group ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArzÀÄÝ. vÁ®ÆèPÀÄ PÀȶ ªÀiÁgÀÄPÀmÉÖ E¯ÁSɬÄAzÀ 5. Fiber Group ¸ÀÆa¹gÀĪÀ J¯Áè ¨É¼ÉUÀ¼À ¸ÀUÀlÄ ªÀiÁgÁl ¨É¯É «ªÀgÀUÀ¼À£ÀÄß 6. Condiments & Spices ¸ÀAUÀ滹¸À¨ÉÃPÁVzÀÄÝ, PÉ®ªÀÅ ¨É¼ÉUÀ¼À ¨É¯ÉUÀ¼ÀÄ ®¨sÀå«®èzÁUÀ PÀȶ ªÀiÁgÁl ( Expect Tamarind) ªÁ»¤ ªÉ¨ï ¸ÉÊmï¤AzÀ ¥ÀqÉzɪÀÅ C°èAiÀÄÆ ®¨sÀå«®èzÀ ¨É¼ÉUÀ¼À ¨É¯ÉAiÀÄ£ÀÄß 7. Fruits & Vegetables ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj ªÀÄÆ®PÀ ¨É¼ÉUÀ¼À ¨É¯ÉAiÀÄ£ÀÄß PÀAqÀÄ »rzɪÀÅ ªÉ¬ÄmÉqï (Banana, Potato, Sweet ¸ÀgÁ¸Àj:- PÀȶ ªÀiÁgÀÄPÀmÉÖ E¯ÁSɬÄAzÀ vÁ®ÆèPÀÄ/ªÀiÁgÀÄPÀmÉÖªÁgÀÄ ¨É¯É Potato, Onion, «ªÀgÀUÀ¼À£ÀÄß ¥Àæw wAUÀ¼ÀÄ ¥ÀqÉzÀ ¸ÀA§AzsÀ¥ÀlÖ ¨É¼ÉAiÀÄ GvÀÄÛAUÀ ªÀiÁgÀÄPÀmÉÖ Promogranate) ¨É¯É(Peak Market Price ) ¥Àæw vÁ®ÆèQUÉ ¸ÀgÁ¸Àj CAzÁf¹, F ¨É¯ÉAiÀÄ£ÀÄß vÁ®ÆèQ£À GvÁàzÀ£ÉAiÉÆA¢UÉ UÀÄt¹, MlÄÖUÀÆr¹ CzÀ£ÀÄß f¯ÉèAiÀÄ MlÄÖ GvÁàzÀ£É¬ÄAzÀ ¨sÁV¹zÁUÀ ¸ÀA§A¢ü¹zÀ ¨É¼ÉUÉ ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj ¨É¯É ¹UÀÄvÀÛzÉ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É Small Millets, Other Small Millets, Other Cerals Cerals £ÀªÀÄä f¯ÉèAiÀÄ°è ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À ( DES) Other Pulses ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ¥ÀæPÀn¹gÀĪÀ ¥ÀĸÀÛPÀ¢AzÀ Avare, Cowpea and ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArzÀÄÝ. EzÀgÀ ¨É¯ÉAiÀÄ£ÀÄß F ¸ÀÆvÀæzÀ ¥ÀæPÁgÀ Otherpulses PÀAqÀÄ»rzɪÀÅ ¨É¯É= 0.85 * CªÀgÉ, G¢Ý£À¨É¼É, ºÉ¸ÀgÀĨɼÉ, vÉÆUÀgÉ ¨É¼É, ºÀÄgÀĽ¨É¼ÉUÀ¼À ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

279

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À DES) Other Oil Seed ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ( ¥ÀæPÀn¹gÀĪÀ ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArzÀÄÝ. ¨É¯É= 0.85*CUÀ¸É©Ãd,J¼ÀÄî,PÀj fÃjUÉ,PÀĸÀÄ¨É ¨É¼ÀUÀ¼À ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) *¨É¯É 10% PÀ§â£ÀÄß ¨É®èzÀ GvÁàzÀ£ÉAiÀÄ°è §¼À¸À¯ÁUÀÄvÀÛzÉ. PÀ©â£À ¨É¯ÉAiÀÄ£ÀÄß ¸ÀPÀÌgÉ Gur PÁRð£ÉUÀ½AzÀ ¥ÀqÉzɪÀÅ, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= GvÁàzÀ£É * ¨É¯É

Other Sugar £ÀªÀÄä f¯ÉèAiÀÄ°è Other Sugar ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è Other Fiber £ÀªÀÄä f¯ÉèAiÀÄ°è Other Fiber ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è Drugs & Narcotics 1 Tea £ÀªÀÄä f¯ÉèAiÀÄ°è Tea ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è «¹ÛÃtðªÀ£ÀÄß ªÀÄvÀÄÛ E¼ÀĪÀj ªÀÄvÀÄÛ ¨É¯ÉAiÀÄ£ÀÄß Coffee Board ¤AzÀ 2 Coffee ¥ÀqÉ¢gÀÄvÉÛêÉ, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) / ¨É¯É

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À 3 Tobacco Leaf ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ( DES) ¥ÀæPÀn¹gÀĪÀ ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArzÀÄÝ. Tobacco Board ¤AzÀ ¥ÀqÉzɪÀÅ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

Tobacco Stem GvÁàzÀ£ÉAiÀÄ£ÀÄß 83.63% of Tobacoo Production, 4 Tobacco Stem Tobacco Stem ¨É¼ÉAiÀÄ ¨É¯ÉAiÀÄ£ÀÄß 50% of Tobacoo Price MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) *¨É¯É

«¹ÛÃtðªÀ£ÀÄß ªÀÄvÀÄÛ E¼ÀĪÀj ªÀÄvÀÄÛ ¨É¯ÉAiÀÄ£ÀÄß vÉÆÃlUÁjPÉ E¯ÁSɬÄAzÀ 5 Cocoa ¥ÀqÉ¢gÀÄvÉÛêÉ, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) *¨É¯É

6 Other Drugs & Nar £ÀªÀÄä f¯ÉèAiÀÄ°è Other Drugs & Nar ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è Miscellaneous Crpos «¹ÛÃtðªÀ£ÀÄß ªÀÄvÀÄÛ E¼ÀĪÀj ªÀÄvÀÄÛ ¨É¯ÉAiÀÄ£ÀÄß Rubber Board ¤AzÀ 1 Rubber ®¨sÀå«®èzÁUÀ vÉÆÃlUÁjPÉ E¯ÁSɬÄAzÀ ¥ÀqÉ¢gÀÄvÉÛêÉ, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

2 Misc.Non-Food Crpos £ÀªÀÄä f¯ÉèAiÀÄ°è Misc.Non-Food Crpos ¨É¼ÉUÀ¼ÀÄ EgÀĪÀÅ¢®è

280

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ( DES) ¥ÀæPÀn¹gÀĪÀ ¥ÀĸÀÛPÀ¢AzÀ 3 Fooder ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArzÀÄÝ. Production=irrigated area under fooder crops*50MT + un- irrigated area under fooder crops*25MT MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄ PÉÆArgÀÄvÉÛªÉ, gÁdå ¤zÉÃð±À£Á®AiÀÄzÀ PÀȶ CAQ CA±ÀUÀ¼À ¥ÀÆtð ¥ÀjµÀÌøvÀ CAzÁdÄUÀ¼À£ÀÄß f¯ÁèªÁgÀÄ ( DES) ¥ÀæPÀn¹gÀĪÀ

4 Grass ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉUÉzÀÄ PÉÆArzÀÄÝ. Production=Total area under permanent pastures +1 * miscellaneous tree crops+2 * culturable waste +2 * fallow lands + 1 * net area sown) * fixed yield rates MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

«¹ÛÃtðªÀ£ÀÄß ªÀÄvÀÄÛ E¼ÀĪÀj ªÀÄvÀÄÛ ¨É¯ÉAiÀÄ£ÀÄß Sericulture Dept. ¤AzÀ 5 Mulbery ¥ÀqÉ¢gÀÄvÉÛêÉ, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß ªÀÄvÀÄÛ ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉÆÃlUÁjPÉE¯ÁSɬÄAzÀ Floriculture vÉUÉzÀÄPÉÆArgÀÄvÉÛªÉ, ¨É¼ÉUÀ¼À ¨É¯ÉUÀ¼À «ªÀgÀªÀ£ÀÄß DES ¤AzÀ ¥ÀqÉ¢gÀÄvÉÛêÉ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß, ¨É¼ÉUÀ¼À E¼ÀĪÀjAiÀÄ£ÀÄß vÉÆÃlUÁjPÉ E¯ÁSɬÄAzÀ vÉUÉzÀÄPÉÆArzÀÄÝ. PÀȶ ªÀiÁgÁl ªÁ»¤ ªÉ¨ï ¸ÉÊmï¤AzÀ ¥ÀqÉzɪÀÅ C°èAiÀÄÆ ®¨sÀå«®èzÀ ¨É¼ÉUÀ¼À ¨É¯ÉAiÀÄ£ÀÄß ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj ªÀÄÆ®PÀ ¨É¼ÉUÀ¼À ¨É¯ÉAiÀÄ£ÀÄß PÀAqÀÄ »rzɪÀÅ. ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj:- PÀȶ ªÀiÁgÀÄPÀmÉÖ E¯ÁSɬÄAzÀ Fruits &Vegetables, vÁ®ÆèPÀÄ/ªÀiÁgÀÄPÀmÉÖªÁgÀÄ ¨É¯É «ªÀgÀUÀ¼À£ÀÄß ¥Àæw wAUÀ¼ÀÄ ¥ÀqÉzÀ ¸ÀA§AzsÀ¥ÀlÖ Tamarind ¨É¼ÉAiÀÄ GvÀÄÛAUÀ ªÀiÁgÀÄPÀmÉÖ ¨É¯É(Peak Market Price ) ¥Àæw vÁ®ÆèQUÉ ¸ÀgÁ¸Àj CAzÁf¹, F ¨É¯ÉAiÀÄ£ÀÄß vÁ®ÆèQ£À GvÁàzÀ£ÉAiÉÆA¢UÉ UÀÄt¹, MlÄÖUÀÆr¹ CzÀ£ÀÄß f¯ÉèAiÀÄ MlÄÖ GvÁàzÀ£É¬ÄAzÀ ¨sÁV¹zÁUÀ ¸ÀA§A¢ü¹zÀ ¨É¼ÉUÉ ªÉ¬ÄmÉqï ¸ÀgÁ¸Àj ¨É¯É ¹UÀÄvÀÛzÉ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å = («¹ÛÃtð * GvÁàzÀ£É) * ¨É¯É ASCR for net sown area, Using the formula for finding the value of output Back Yard Value of Output =0.21%of net sown area* value of output per hectare of other fruits and vegetables

Production of Bagasse=35%*sugar cane used for gur making, Baggase Value of Output =0.21%of netsown area* value of output per hectare of other fruits and vegetables

ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ CA±ÀUÀ¼ÀÄ( ASCR) ¥ÀĸÀÛPÀ¢AzÀ ¨É¼ÉUÀ¼À By Products «¹ÛÃtðªÀ£ÀÄß vÉUÉzÀÄ PÉÆArgÀÄvÉÛªÉ, DES provides price per hectare data & value of output= area* value per hectare 281

2. eÁ£ÀĪÁgÀÄ ªÀ®AiÀÄ:- ««zsÀ eÁ£ÀĪÁgÀÄUÀ¼À ¸ÀASÉå, ºÁ®Ä ªÀÄvÀÄÛ ªÀiÁA¸ÀzÀ GvÁàzÀ£Á «ªÀgÀªÀ£ÀÄß ¥À±ÀÄ¥Á®£Á E¯ÁSɬÄAzÀ ¥ÀqÉzɪÀÅ. ««zsÀ ¥ÁætÂUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß eÁ£ÀĪÁgÀÄUÀ¼À UÀtwUÉ C£ÀÄUÀtªÁV ¥Àj²Ã°¹zÀ £ÀAvÀgÀ ¨ÉAUÀ¼ÀÆgÀÄ ¤zÉÃð±À£Á®AiÀÄ¢AzÀ £ÀªÀÄUÉ PÉÆnÖgÀĪÀ ªÀiÁ»wAiÀÄ ¥ÀæPÁgÀ vÁ®ÆèPÀĪÁgÀÄ ºÀAaPÉ ªÀiÁr eÁ£ÀĪÁgÀÄ ªÀ®AiÀÄzÀ MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®åªÀ£ÀÄß PÀAqÀÄ »rAiÀħºÀÄzÀÄ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= GvÁàzÀ£É * ¨É¯É 1Milk, ««zsÀ eÁ£ÀĪÁgÀÄUÀ¼À ¸ÀASÉå, ºÁ®Ä, ªÀiÁA¸ÀzÀ GvÁàzÀ£Á «ªÀgÀªÀ£ÀÄß 2. Meat Group, eÁ£ÀĪÁgÀÄUÀ¼À UÀtwAiÀÄ£ÁßzsÀj¹zÀ ªÀiÁ»wAiÀÄ£ÀÄß ¥À±ÀÄ¥Á®£Á 2.1 Cattle meat, E¯ÁSɬÄAzÀ ¥ÀqÉzɪÀÅ. 2.2 Buffallo meat, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= GvÁàzÀ£É * ¨É¯É 2.3.Goat meat, 2.4Sheep meat, 2.5 Pig meat (pork) Adult fowls killed, Adult ducks killed,Chickens & duckings 2.6 Adult fowls killed, killed, other poultry ªÀiÁ»wAiÀÄ£ÀÄß Indian livestock census for 2.7 Adult ducks killed, population ¤AzÀ ¥ÀqÉzɪÀÅ Value of output is estimated 2.8 Chickens & duckings killed, separately for four components (a) chicken and ducklings 2.9 Other poultry killed, (b) adult fowls killed, (c)adult ducks killed and (d) other poultry killed multiplied by the respective prices and methodology given by central stastistical office, Production = 50% of population, MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= (GvÁàzÀ£É * ¨É¯É )/100 3. Meat Product : ««zsÀ eÁ£ÀĪÁgÀÄUÀ¼À ªÀiÁA¸ÀzÀ GvÁàzÀ£Á «ªÀgÀªÀ£ÀÄß eÁ£ÀĪÁgÀÄUÀ¼À 3.1 Hedas and legs, UÀtwAiÀÄ£ÁßzsÀj¹zÀ ªÀiÁ»wAiÀÄ£ÀÄß ¥À±ÀÄ¥Á®£Á E¯ÁSɬÄAzÀ 3.2. Fats, Slaughtered Animals ¥ÀqÉzɪÀÅ. No.of animals slaughtered( Cattle, Buffalo, 3.3 Fats, Fallen Animals goats,Sheep, pig) 4. Meat product By-products: Producation = no.of animals slaghtered (cattle, Buffalo, goats, Sheep, Pig)+ head (cattle, Buffalo, goats, Sheep, Pig)+ legs (cattle, Buffalo, goats, Sheep, Pig) MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= (GvÁàzÀ£É * ¨É¯É )/100 value of out put=by-products (excluding hides and skins) is estimated as a percentage of total value of meat production. the ratios used for estimating the valueof meat by -products are: 13.2%for cattle, 13.3% for buffalo, 2.4%for goat, 2.5%for sheep, and 5%for pig

¥À±ÀÄ¥Á®£Á E¯ÁSɬÄAzÀ £ÀqɸÀ¯ÁzÀ Integrated Sample Survey 5 Eggs GvÁàzÀ£ÉAiÀÄ ªÀiÁ»wAiÀÄ£ÀÄß ¥ÀqÉzɪÀÅ MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= (GvÁàzÀ£É * ¨É¯É )

Woll & Hair Group

eÁ£ÀĪÁgÀÄUÀ¼À UÀtwAiÀÄ£ÁßzsÀj¹zÀ ªÀiÁ»wAiÀÄ£ÀÄß ¥À±ÀÄ¥Á®£Á 6.1 Wool E¯ÁSɬÄAzÀ ¥ÀqÉzɪÀÅ. 6.2 Goat Hair Value of output = yield rate* population of Camel/goat/pig * price

282

6.3 Camel Hair Camel Hair, Pig Bristles 6.4 Pig Bristles £ÀªÀÄä f¯ÉèAiÀÄ°è EgÀĪÀÅ¢®è Indian Livestock Census for populaton ISS for yield rates of dung, Quantity output of dung= population of cattle and buffalo* yield rate; (a) dung cakes ~value of output =0.4* utilisation rate for 7.Dung Group estimating dung used for making cakes* dung production * 7.1Dung Fuel current year price (b) dung manure~ value of output= 7.2Dung manure utilisation rate for estimating dung used for manure purpose * dung production* current year price (c) dung used for other purposes; value of output = utilisation rate for estimating dung used for other purpose* dung production* current price 8. Other products

Central silk board 8.1 Cocoons ¤AzÀ GvÁàzÀ£É ªÀÄvÀÄÛ ¨É¯ÉAiÀÄ£ÀÄß ¥ÀqÉ¢zÀÄÝ, value of output = quantitiy * price

8.2 Honey Honey, Bee's Wax 8.3 Bee's Wax £ÀªÀÄä f¯ÉèAiÀÄ°è EgÀĪÀÅ¢®è

3. ºÀÆqÀĪÀ½(E£ï¥ÀÄmïUÀ¼À) ªÀiË®åªÀ£ÀÄß vÀAiÀiÁj¸ÀĪÀÅzÀÄ Input ¨É¼ÉUÀ½UÉ ¸ÀA§A¢ü¹zÀ ©ÃdUÀ¼À «¹ÛÃtðªÀ£ÀÄß ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ ¨É¼ÉÀUÀ¼À CAQ ( ASCR) Seed CA±ÀUÀ¼ÀÄ ¥ÀĸÀÛPÀ¢AzÀ ªÀiÁ»wAiÀÄ£ÀÄß ¥ÀqÉzɪÀÅ, ©ÃdUÀ¼À ¨É¯ÉAiÀÄ£ÀÄß gÁdå ¤zÉÃð±À£Á®AiÀÄ¢AzÀ ¥ÀqÉzɪÀÅ, ©ÃdUÀ¼À ªÀiË®å= ¸ÀA§A¢ü¹zÀ ¨É¼ÉÀUÀ¼À «¹ÛÃtð * ©ÃdzÀ zÀgÀ * ¨É¼ÉAiÀÄ ¸ÀUÀlÄ ¨É¯É eÉÊ«PÀ UÉƧâgÀ ªÀiÁ»wAiÀÄ£ÀÄß eÁ£ÀĪÁgÀÄ ªÀ®AiÀÄzÀ°è ®¨sÀåªÁUÀĪÀ ¸ÀUÀt UÉƧâgÀzÀ Organic manure ºÀÄlÄÖªÀ½ ªÀiË®åªÀ£ÀÄß MmÁÖgÉ PÀȶ ªÀAiÀÄ®AiÀÄzÀ°è ºÀÄqÀĪÀ½ ªÀiË®åªÉAzÀÄ ¥ÀjUÀt¸ÀĪÀÅzÀÄ.

f¯ÉèAiÀÄ°è gÉÊvÀjUÉ «vÀj¸À¯ÁVgÀĪÀ gÁ¸ÁAiÀĤPÀ UÉƧâgÀzÀ ¥ÀæªÀiÁt ºÁUÀÆ ªÀiË®åzÀ Chemical Fertilizers ªÀiÁ»wAiÀÄ£ÀÄß f¯ÉèAiÀÄ CAQ CA±ÀUÀ¼À £ÉÆÃl ¥ÀĸÀÛPÀ¢AzÀ ¥ÀqÉzɪÀÅ

Current repairs and maintenance information calculated by Current repairs and Prop. To Value of O/P = (Value of O/P Agriculture + Value of O/P Live maintenance Stock) / Ground Total (Total Value of Output)

Roughages calculated by Feed of livestock Value of Roughages = Value of output of (fodder, grass, cane trash+ 0.95 * ( value of uotput of straw and stalks) * prices

Irrigation Charges F ªÀiÁ»wAiÀÄ£ÀÄß f¯Áè¢üPÁjUÀ¼À PÀbÉÃj¬ÄAzÀ ¥ÀqÉzɪÀÅ

Pesticides and gÉÊvÀgÀ d«ÄäUÉ ¹A¥Àr¸À®Ä §¼À¹zÀ OµÀ¢ü ªÀÄvÀÄÛ QÃl£Á±ÀPÀzÀ ¥ÀæªÀiÁt ªÀÄvÀÄÛ ªÀiË®åªÀ£ÀÄß insecticides PÀȶ E¯ÁSɬÄAzÀ ¥ÀqÉzɪÀÅ

283

PÀȶ ªÀ®AiÀÄzÀ°è£À MlÄÖ ªÀiË®åzÀ ±ÉÃPÀqÁ 3.22gÀµÀÄÖ ºÁUÀÆ eÁ£ÀĪÁgÀÄ ªÀ®AiÀÄzÀ°è Market charges f¯ÁèªÁgÀÄ ¥ÁætªÀzsÉ ¸ÀASÉåAiÀiÁ£ÁßzsÀj¹ gÁdåªÀÄlÖzÀ°è£À gÁdå ªÀÄlÖzÀ°è£À ªÀiÁgÀÄPÀmÉÖ zÀgÀªÀ£ÀÄß vÁ®ÆèPÀÄUÀ½UÉ ºÀAaPÉ ªÀiÁrzɪÀÅ

Electricity ¤ÃgÁªÀj L.¦. ¸ÉlÄÖUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß f¯ÉèAiÀÄ CAQ CA±ÀUÀ¼À £ÉÆÃl ¥ÀĸÀÛPÀ¢AzÀ ¥ÀqÉzɪÀÅ

¨ÉøÁAiÀÄPÉÌ G¥ÀAiÉÆÃV¸À¯ÁUÀĪÀ mÁæPÀÖgï ªÀÄvÀÄÛ D¬Ä¯ï EAf£ïUÀ¼À MlÄÖ ¸ÀASÉåUÀ½AzÀ Diesel Oil UÀÄt¹zÁUÀ MlÄÖ ªÀiË®å w½AiÀÄĪÀÅzÀÄ, mÁæPÀÖgïUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß f¯ÉèAiÀÄ CAQ CA±ÀUÀ¼À £ÉÆÃl ¥ÀĸÀÛPÀ¢AzÀ ¥ÀqÉzɪÀÅ

4. CgÀtå ªÀ®AiÀÄ:- F ªÀ®AiÀÄzÀ°è DzÁAiÀÄ CAzÁdÄ ªÀiÁqÀ®Ä CUÀvÀå«gÀĪÀ J¯Áè CgÀtå GvÀà£ÀßUÀ¼ÀÄ ºÁUÀÆ CgÀtå ºÉÆgÀvÀÄ ¥Àr¹ ¨É¼ÉzÀ ªÀÄgÀUÀ¼À GvÀà£Àß ¨É¯É ªÀÄvÀÄÛ ªÀiË®åzÀ «ªÀgÀUÀ¼À£ÀÄß f¯ÉèAiÀÄ CgÀtå E¯ÁSɬÄAzÀ ¸ÀAUÀ滸ÀĪÀÅzÀÄ. Major Forest Products 1. Rose wood i. Export ii. Other 2. Teak Wood 3. Sawn Timber F ªÀ®AiÀÄzÀ°è DzÁAiÀÄ CAzÁdÄ ªÀiÁqÀ®Ä CUÀvÀå«gÀĪÀ J¯Áè CgÀtå 4. Other Kinds of Timber GvÀà£ÀßUÀ¼ÀÄ ºÁUÀÆ CgÀtå ºÉÆgÀvÀÄ ¥Àr¹ ¨É¼ÉzÀ ªÀÄgÀUÀ¼À GvÀà£Àß ¨É¯É 5. Pulp Wood ªÀÄvÀÄÛ ªÀiË®åzÀ «ªÀgÀUÀ¼À£ÀÄß f¯ÉèAiÀÄ CgÀtå E¯ÁSɬÄAzÀ ¸ÀAUÀ滹zɪÀÅ, 6. Nilgiris CgÀtåzÀ «¹ÛÃtð, Trees Out side the forest ªÀiÁ»wAiÀÄ£ÀÄß f¯ÉèAiÀÄ 7. Timber in round poles CAQ CA±ÀU À¼À £ÉÆÃl ¥ÀĸÀÛPÀ¢AzÀ ¥ÀqÉzɪÀÅ, Unrecorded area = 10% 8. Match Wood of Recorded area 9. Soft wood MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= GvÁàzÀ£É * ¨É¯É 10. Bamboo 11. Sandal Wood Trees Out side the forest

The data on consumption of firewood is available consumer Industrial Wood expenditure surveys of NSSO (NSS 61st round 2004-05), Fire Fire Wood wood average monthly prices . Value of output= Production * price Minor Forest Products 1. Charcoal 2. Canes 3. Beedi Leves 4. Ivory 5. Barks 6. Tamarind 7. Seegakai F ªÀ®AiÀÄzÀ°è DzÁAiÀÄ CAzÁdÄ ªÀiÁqÀ®Ä CUÀvÀå«gÀĪÀ J¯Áè CgÀtå 8. Gums GvÀà£ÀßUÀ¼ÀÄ ºÁUÀÆ CgÀtå ºÉÆgÀvÀÄ ¥Àr¹ ¨É¼ÉzÀ ªÀÄgÀUÀ¼À GvÀà£Àß ¨É¯É ªÀÄvÀÄÛ 9. Oil Seeds 10.Antavallekai ªÀiË®åzÀ «ªÀgÀUÀ¼À£ÀÄß f¯ÉèAiÀÄ CgÀtå E¯ÁSɬÄAzÀ ¸ÀAUÀ滹zɪÀÅ 11. Halamddi 12. Other seeds 13. Spices 14.Misc. Items 15.Fruits 16.Rosha Grass 17. Alale kai

284

Fodder Grass Fodder Grass (15.9% of Roughages value in livestock sector)

f¯ÉèAiÀÄ CgÀtå E¯ÁSɬÄAzÀ ®¨sÀå«®èzÀ PÁgÀt ¤zÉÃð±À£Á®AiÀÄ¢AzÀ £ÀªÀÄUÉ Fire wood PÉÆnÖgÀĪÀ ªÀiÁ»wAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛêÉ,

5. «ÄãÀÄUÁjPÉ ªÀ®AiÀÄ:- F ªÀ®AiÀÄzÀ°è DzÁAiÀÄ CAzÁdÄ ªÀiÁqÀ®Ä ¨ÉÃPÁzÀ «ÄãÀÄ GvÁàzÀ£É ¨É¯É «ªÀgÀUÀ¼À£ÀÄß «ÄãÀÄUÁjPÉ E¯ÁSɬÄAzÀ ¥ÀqÉAiÀĨÉÃPÀÄ.

«ÄãÀÄUÁjPÉAiÀÄ ªÀ¯ÉAiÀÄzÀ°è DzÁAiÀÄ CAzÁdÄ ªÀiÁqÀ®Ä ¨ÉÃPÁzÀ «ÄãÀÄ GvÁàzÀ£É ºÁUÀÆ ¨É¯ÉUÀ¼À Fishing «ªÀgÀUÀ¼À£ÀÄß «ÄãÀÄUÁjPÉ E¯ÁSɬÄAzÀ ¥ÀqÉzÀªÀÅ. MlÄÖ ºÀÄlÄÖªÀ½ ªÀiË®å= GvÁàzÀ£É * ¨É¯É

6. UÀtÂUÁjPÉ ªÀÄvÀÄÛ PÀ®Äè CUÉvÀ:-

¥ÀæªÀÄÄR R¤dUÀ¼À GvÁàzÀ£É ªÀÄvÀÄÛ ªÀiË®åUÀ¼À ªÀiÁ»w ºÁUÀÆ ºÀÆqÀĪÀ½ zÀgÀzÀ Mining and Quarrying ªÀiÁ»wAiÀÄ£ÀÄß gÁdå ¤zÉÃð±À£Á®AiÀĪÀÅ MzÀV¹zÀÄÝ, G¥À R¤dUÀ¼À §UÉÎ F ªÀiÁ»wAiÀÄ£ÀÄß gÁdå UÀt ªÀÄvÀÄÛ ¨sÀÆ «eÁÕ£À E¯ÁSÉAiÀÄ f¯Áè PÀbÉÃj¬ÄAzÀ ¥ÀqÉzɪÀÅ Manufacturing PÉÊUÁjPÉ ªÀÄvÀÄÛ ªÁtÂdå E¯ÁSɬÄAzÀ GzÉÆåÃVUÀ¼À ¸ÀASÉåUÀ¼À£ÀÄß ¥ÀqÉzɪÀÅ, Registerd GVA= GVA including FISM - Less FISM f¯ÉèAiÀÄ CAQ CA±ÀUÀ¼À £ÉÆÃl ¥ÀĸÀÛPÀ¢AzÀ PÉ®¸ÀUÁgÀgÀ ¸ÀASÉåAiÀÄ£ÀÄß ¥ÀqÉzɪÀÅ Unregisterd GVA= GVA including FISM - Less FISM PÀlÖqÀUÀ¼À ¤ªÀiÁðtPÉÌ ©qÀÄUÀqÉAiÀiÁzÀ C£ÀÄzÁ£ÀªÀ£ÀÄß PWD,MI,ZP PÀbÉÃj¬ÄAzÀ Construction ¥ÀqÉzɪÀÅ, GVA= GVA including FISM - Less FISM Electricity, Gas and Water Supply F ªÀiÁ»wAiÀÄ£ÀÄß «zÀÄåZÀÒQÛ ªÀ®AiÀÄzÀ°è PÁAiÀÄð¤ªÀð»¸ÀĪÀ PÁ«ÄðPÀgÀ ¸ÀASÉå ºÁUÀÆ §¼ÉPÉ ªÀiÁrgÀĪÀÀ «zÀÄåvï AiÀÄƤmïAiÀÄ ªÀiÁ»wAiÀÄ£ÀÄß «zÀÄåvï ¥Àæ¸ÀgÀt ¤UÀªÀÄ¢AzÀ Electricity ¥ÀqÉzɪÀÅ, GVA= Total ( Public + Private) - FISM

Gas eÉÊ«PÀ C¤® WÀlPÀUÀ¼À ¸ÀASÉåUÀ¼À ªÀiÁ»wAiÀÄ£ÀÄß f¯Áè ¥ÀAZÁAiÀÄvï ¤AzÀ ¥ÀqÉzɪÀÅ

¤ÃgÀÄ ¸ÀgÀ§gÁdÄ ªÀiÁqÀĪÀ PÉ®¸ÀzÀ°è ¤gÀvÀgÁVgÀĪÀ GzÉÆåÃVUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß Water Supply vÁ®ÆèPÀĪÁgÀÄ ªÀiÁ»wAiÀÄ£ÀÄß ¥ÀqÉzɪÀÅ, GVA= Total ( Public + Private) + CFC gÉʯÉé ¯ÉÊ£ï GzÀÝ (Q.«ÄÃ)UÀ¼À°è ªÀiÁ»wAiÀÄ£ÀÄß gÉʯÉé E¯ÁSɬÄAzÀ ¥ÀqÉzɪÀÅ Percentage to Total= length of Railway*100/grand total of length of Railways Railway GVA= (Percentage to Total * grand total of GVA)/100 Transport by other means ªÉÆÃmÁgï ªÁºÀ£ÀUÀ¼À ¸ÀASÉåUÀ¼À£ÀÄß ªÀUÀðªÁgÀÄ ªÀiÁ»wAiÀÄ£ÀÄß ¥ÁæzÉòPÀ ¸ÁjUÉ Transport C¢üPÁjUÀ¼À PÀbÉÃj¬ÄAzÀ ¥ÀqÉzɪÀÅ 285

Mechanised Road ¤zÉÃð±À£Á®AiÀÄ¢AzÀ £ÀªÀÄUÉ PÉÆnÖgÀĪÀ ªÀiÁ»wAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛêÉ, Transport GVA=GVA including FISM- Less FISM

Air Transport ¤zÉÃð±À£Á®AiÀÄ¢AzÀ £ÀªÀÄUÉ PÉÆnÖgÀĪÀ ªÀiÁ»wAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛêÉ,

Water Transport ¤zÉÃð±À£Á®AiÀÄ¢AzÀ £ÀªÀÄUÉ PÉÆnÖgÀĪÀ ªÀiÁ»wAiÀÄ£ÀÄß vÉUÉzÀÄPÉÆArgÀÄvÉÛêÉ,

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