ETHIOPIA Food Security Update November 2009
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Districts of Ethiopia
Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa -- -
Addis Ababa University School of Graduate Studies Department of Statistics
ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES COLLEGE OF NATURA SCIENCES DEPARTMENT OF STATISTICS STATISTICAL ANALYSIS OF SPATIAL DISTRIBUTION OF MALARIA IN WEST SHOA ZONE, ETHIOPIA BY MITIKU MOSISSA AYANA A THESIS SUBMITTED TO THE SCHOOL OF GRADUATE STUDIES OF ADDISA ABABA UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN STATISTICS MAY, 2011 ADDISA ABABA, ETHIOPIA Addis Ababa University School of Graduate Studies Department of Statistics Title of Thesis: Statistical Analysis of Spatial Distribution of Malaria in West Shoa Zone, Ethiopia By Mitiku Mosissa Ayana Approved by the Board of Examiners: _____________________________ ……………… Department Head Signature _____________________________ ………………. Examiner Signature _____________________________ ……………… Examiner Signature CONTENTS Page Acronyms--------------------------------------------------------------------------------------------iv Acknowledgments----------------------------------------------------------------------------------v Abstract----------------------------------------------------------------------------------------------vi CHAPTER 1: Introduction -----------------------------------------------------------1 1.1. Background of the study----------------------------------------------------------------------1 1.2. Use of Spatial autocorrelation-----------------------------------------------------------------4 1.3. Statement of the problem----------------------------------------------------------------------6 1.4. Objectives of the -
Determinants of Rural Households' Participation in Microfinance Services
Vol. 11(2), pp. 24-32, February 2019 DOI: 10.5897/JDAE2018.1008 Article Number: FA0804D59879 ISSN 2006-9774 Copyright ©2019 Journal of Development and Agricultural Author(s) retain the copyright of this article http://www.academicjournals.org/JDAE Economics Full Length Research Paper Determinants of rural households’ participation in microfinance services: The case of Cheliya District, West Shoa Zone, Oromia National Regional State, Ethiopia Tadele Erena Geleta1, Alelign Ademe Mengistu1 and Solomon Amsalu Gesese2* 1Department of Agricultural Economics, College of Agriculture and Veterinary Science, Haramaya University, Ethiopia. 2Department of Agribusiness and Value Chain Management, College of Agriculture and Veterinary Science, Ambo University, Ambo, Ethiopia. Received 24 October, 2018; Accepted 13 November, 2018 In under developed countries, most of the poor people have limited access to formal financial services, including credit, savings, and insurance. The study was focused on the determinants of the rural households’ participation in microfinance services in the study area. The study was conducted in Cheliya District, Oromia Regional State, Ethiopia. A total of 188 sample households were selected through stratified and simple random sampling techniques and interviewed using a structured questionnaire to elicit data pertaining to participation in microfinance services during the year 2017. The data were analyzed using descriptive statistics and logistic regression model. Logistic regression model was used to analyze determinants of the rural households’ use of service in microfinance services. Accordingly, the outcome of the logistic model regression indicated that household heads’ sex, education level, cultivated land size, livestock holding and frequency of extension contact positively and significantly affected the rural household’s decision to involve in microfinance services; while dependency ratio affected their decision negatively and significantly. -
Oromiya 4 Zone Code Wereda Code Town Code West
REGION - OROMIYA 4 ZONE CODE WEREDA CODE TOWN CODE WEST WELEGA 01 MENE SIBU 01 MENDI 1 NEJO 02 NEJO 1 WERE JIRU 2 GORI 3 GIMBI 03 HOMA 1 LALO ASABI 04 ENANGO 1 DENIGORO 2 KILTU KARA 05 KILTU KARA 1 BOJI DIRMEJ 06 BILA 2 AYIRA GULISO 07 GULISO 1 AYIRA 2 JARSO 08 GEBA DEFINO 1 KONDALA 09 GEBA DEFNO 1 BOJI CHEKORSA 10 CHEKORSA 1 BABO GAMBEL 11 DEBEKA 1 YUBDO 12 YUBDO 1 GENJI 13 GENJI 1 HARU 14 GUYU 1 NOLE KABA 15 BUBE 1 BEGI 16 BEGI 1 KOBER 2 GIMBI /TOWN/ 17 GIMBE 1 SEYO NOLE 18 DEBESO 1 EAST WELEGA 02 LIMU 01 GELILA 1 IBANTU 02 HINDE 1 GIDA KIREMU 03 GIDA AYANA 1 KIREMU 2 GUTEN 3 HORO LIMU 04 BONIYA BUSHE 05 BILO 1 WAYU TUKA 06 GEBA JIMATA 1 GUDEYA BILA 07 JERE 1 BILA 2 GOBU SEYO 08 ANO 1 OROMIYA (Cont'd) ZONE CODE WEREDA CODE TOWN CODE EAST WELEGA 02 SIBU SIRE 09 SIRE 1 DIGA 10 ARJO GUDETU 1 IFA 2 SASIGA 11 GALO 1 LEKA DULECHA 12 GETEMA 1 GUTO GIDA 13 DIGA 1 JIMA ARJO 14 ARJO 1 NUNU KUMBA 15 NUNU 1 WAMA HAGELO 16 NEKEMTE /TOWN/ 17 NEKEMTE 1 ILU ABA BORA 03 DARIMU 01 DUPA 1 ALGE SACHI 02 ALGE 1 SUPE 2 CHORA 03 KUMBABE 1 DEGA 04 DEGA 1 DABO HANA 05 KONE 1 GECHI 06 GECHI 1 BORECHA 07 YANFU 1 DEDESA 08 DENBI 1 YAYU 09 YAYU 1 METU ZURIYA 10 ALE 11 GORE 1 BURE 12 BURE 01 1 SIBU 2 NONO SELE 13 BIRBIRSA 1 OROMIYA (Cont'd) ZONE CODE WEREDA CODE TOWN CODE ILU ABA BORA 03 BICHO 14 BICHO 1 BILO NOPHA 15 NOPA 1 HURUMU 16 HURUMU 1 DIDU 17 LALO 1 MAKO 18 MAKO 1 HUKA /HALU/ 19 HUKA 01 1 METU TOWN 20 METU 1 BEDELE TOWN 21 BEDELE 1 BEDELE ZURIYA 22 - 1 CHEWAKA 23 ILU HARERE 1 DORENI 24 JIMA 04 LIMU SEKA 01 ANTAGO 1 LIMU KOSA 02 LIMU GENET 1 AMBUYE 2 BABU -
Mekelle University Department of Economics College of Business and Economics
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by IDS OpenDocs Mekelle University Department of Economics College of Business and Economics Household-Level Determinants of Adoption Speed of Soil Fertility Boosting Technology: A Duration Analysis Approach of Composting adoption (A Case Study of Toke Kutaye District, West Shawa, Oromiya) By: Robera Merga Bulti A thesis Submitted in Partial Fulfillment of Requirement for the Master of Science degree (MSc) In Economics (Development Policy Analysis) Principal Advisor: Kidanemariam G.Egziabher(PhD) Co-Advisor: Dessalegn Beyene (Msc) May, 2013 Mekelle University, Ethiopia Statement of Declaration This is to declare that this thesis work entitled “Household-Level Determinants of adoption of speed of soil fertility Boosting Technology: A Duration Analysis Approach of Composting Adoption (A case study of Toke-Kutaye District ,West Shawa ,Oromiya” submitted in Partial Fulfillment of the Requirements for the award of the degree of MSc. in Economics (Development Policy Analysis) to the College of Business and Economics, Mekelle University, through the Department of Economics is my is an authentic work carried out by me. All sources of materials used for this thesis have been duly acknowledged. Name of the student: Robera Merga Signature: ______________ Date:_____________ i CERTIFICATION This is to certify that this thesis “Household-Level Determinants of adoption of speed of soil fertility Boosting Technology: A Duration Analysis Approach of Composting Adoption (A case study of Toke-Kutaye District, West Shawa, Oromiya “submitted in Partial Fulfillment of the Requirements for the award of the degree of MSc. in Economics (Development Policy Analysis) to the College of Business and Economics, Mekelle University, through the Department of Economics, done by Robera Merga Bulti(ID No CBE/PR 105/04) is an authentic work carried out by under my guidance. -
Ethiopia Census 2007
Table 1 : POPULATION SIZE OF REGIONS BY SEX AND PLACE OF RESIDENCE: 2007 Urban + Rural Urban Rural Sex No. % No. % No. % COUNTRY TOTAL * Both Sexes 73,918,505 100.00 11,956,170 100.00 61,962,335 100.00 Male 37,296,657 50.46 5,942,170 49.70 31,354,487 50.60 Female 36,621,848 49.54 6,014,000 50.30 30,607,848 49.40 TIGRAY Region Both Sexes 4,314,456 100.00 842,723 100.00 3,471,733 100.00 Male 2,124,853 49.25 398,072 47.24 1,726,781 49.74 Female 2,189,603 50.75 444,651 52.76 1,744,952 50.26 AFFAR Region * Both Sexes 1,411,092 100.00 188,973 100.00 1,222,119 100.00 Male 786,338 55.73 100,915 53.40 685,423 56.08 Female 624,754 44.27 88,058 46.60 536,696 43.92 AMHARA Region Both Sexes 17,214,056 100.00 2,112,220 100.00 15,101,836 100.00 Male 8,636,875 50.17 1,024,136 48.49 7,612,739 50.41 Female 8,577,181 49.83 1,088,084 51.51 7,489,097 49.59 ORORMIYA Region Both Sexes 27,158,471 100.00 3,370,040 100.00 23,788,431 100.00 Male 13,676,159 50.36 1,705,316 50.60 11,970,843 50.32 Female 13,482,312 49.64 1,664,724 49.40 11,817,588 49.68 SOMALI Region * Both Sexes 4,439,147 100.00 621,210 100.00 3,817,937 100.00 Male 2,468,784 55.61 339,343 54.63 2,129,441 55.77 Female 1,970,363 44.39 281,867 45.37 1,688,496 44.23 BENISHANGUL-GUMUZ Region Both Sexes 670,847 100.00 97,965 100.00 572,882 100.00 Male 340,378 50.74 49,784 50.82 290,594 50.72 Female 330,469 49.26 48,181 49.18 282,288 49.28 SNNP Region Both Sexes 15,042,531 100.00 1,545,710 100.00 13,496,821 100.00 Male 7,482,051 49.74 797,796 51.61 6,684,255 49.52 Female 7,560,480 50.26 747,914 48.39 6,812,566 -
Constraints and Opportunities of Maize, Teff and Wheat Production
Bultossa Terefe Willy , AJAR, 2018; 3:22 Research Article AJAR (2018), 3:22 American Journal of Agricultural Research (ISSN:2475-2002) Constraints and Opportunities of Maize, Teff and wheat production: The case of Ambo s and Toke Kuttaye Districts, West Showa Zone, Oromia Regional State, Ethiopia Bultossa Terefe Willy Ambo University College of Agriculture and Veterinary Science Department of Agribusiness And Value Chain Management ABSTRACT In Ethiopia, agriculture accounts for about 85% of the working *Correspondence to Author: forces, 90% of exports and 50% of the total gross domestic prod- Bultossa Terefe Willy uct (GDP). Agriculture is the main stay of the country. The study Ambo University College of Ag- was initiated with the objective of Assessments of constraints and Opportunities of Maize,Teff and wheat production. The study riculture and Veterinary Science used multi stage random sampling techniques. At first stage, Department of Agribusiness And from the existing districts in West Shawa Zone, two districts were Value Chain Management selected based on their relative importance with respect to staple food crop production potential and their accessibility purposively. At the second stage, Six PAs, was selected randomly by random sampling method. At the third stage, probability proportional’s How to cite this article: to size (PPS) were used to select respondents for interview. Ac- Bultossa Terefe Willy. Constraints cordingly a sample of 180 house hold heads was selected for and Opportunities of Maize, Teff interview. The major constraints of the study area were found and wheat production: The case of to be: Crop worm and disease, Price problem, lack of inputs Ambo s and Toke Kuttaye Districts, (chemicals, Fertilizers, Seed, etc.,). -
Constraints and Opportunities of Maize, Teff and Wheat Production: the Case of Ambo S and Toke Kuttaye Districts, West Showa Zone, Oromia Regional State, Ethiopia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.9, No.7, 2018 Constraints and Opportunities of Maize, Teff and Wheat Production: The Case of Ambo s and Toke Kuttaye Districts, West Showa Zone, Oromia Regional State, Ethiopia Bultossa Terefe Willy Ambo University College of Agriculture and Veterinary Science Department of Agribusiness And Value Chain Management, Po. Box 19, Ambo, Ethiopia Abstract In Ethiopia, agriculture accounts for about 85% of the working forces, 90% of exports and 50% of the total gross domestic product (GDP). Agriculture is the main stay of the country. The study was initiated with the objective of Assessments of constraints and Opportunities of Maize,Teff and wheat production. The study used multi stage random sampling techniques. At first stage, from the existing districts in West Shawa Zone, two districts were selected based on their relative importance with respect to staple food crop production potential and their accessibility purposively. At the second stage, Six PAs, was selected randomly by random sampling method. At the third stage, probability proportional’s to size (PPS) were used to select respondents for interview. Accordingly a sample of 180 house hold heads was selected for interview. The major constraints of the study area were found to be: Crop worm and disease, Price problem, lack of inputs (chemicals, Fertilizers, Seed, etc.,). Lack of appropriate threshing facilities and storage facilities, high post harvest losses, lack of farming oxen, lack of rural credits, lack of education and lack of rural feeder roads. -
Summary and Statistical Report of the 2007 Population and Housing Census Results
Summary and Statistical Report of the 2007 Population and Housing Census Results Summary and Statistical Report of the 2007 Population and Housing Census Results 1 2 Summary and Statistical Report of the 2007 Population and Housing Census Results This document was printed by United Nations Population Fund(UNFPA) Summary and Statistical Report of the 2007 Population and Housing Census Results Summary and Statistical Report of the 2007 Population and Housing Census Results 3 Acknowledgements The third Population and Housing Census of Ethiopia was conducted in May and Novem- ber 2007. In accordance with the Census Commission Re-establishment Proclamation, the House of Peoples Representatives endorsed, on 4 December 2008, the census findings as organized by age, sex, religion, ethnicity, region and urban and rural residence. This sum- mary report contains an extract of the census data from this first release and the remaining census results will be disseminated subsequently. The Population and Housing Census which is a huge, complex and costly statistical opera- tion has been successfully completed through the concerted efforts of different government and non-government organizations, development partners, and individuals. The Office of the Census Commission and the Central Statistical Agency would, therefore, like to thank all who have contributed to the successful completion of the census. The Office of the Census Commission is very grateful to the Government of Ethiopia for its huge financial and administrative support. The Office is grateful to development partners particularly the United Nations Population Fund (UNFPA) and the Department for International Development (DfID) for their generous financial, logistics and technical support. -
Analysing the Impact of Credit on Rural Households' Income in The
lobal f G E o co l n Geleta et al., J Glob Econ 2018, 6:3 a o n m r DOI: 10.4172/2375-4389.1000304 u i c o s J $ Journal of Global Economics ISSN: 2375-4389 Research Article OpenOpen Access Access Analysing the Impact of Credit on Rural Households’ Income in the Case of Cheliya District, West Shoa Zone, Oromia National Regional State, Ethiopia Tadele Erena Geleta1, Alelign Ademe Mengistu1 and Solomon Amsalu Gesese2* 1Department of Agricultural Economics, College of Agriculture and Veterinary Science, Haramaya University, Ethiopia 2Department of Agribusiness and Value Chain Management, College of Agriculture and Veterinary Science, Ambo Universities, Ethiopia Abstract Microfinance is one of the most powerful tools that contribute to the livelihoods of many people through provision of financial and supporting services to the poor. In light of the problems and the research gaps identified, this study seeks to address and generate information on the impact of microfinance services on rural households’ total annual income. The study was conducted in Cheliya District, Oromia Regional State. A total of 188 sample households were selected through stratified and simple random sampling techniques and interviewed using a structured questionnaire to elicit data pertaining participation in microfinance services and income as well during the year 2017. A propensity score matching model was used to estimate the impact of the microfinance on the rural clients’ income. Accordingly, the outcome of the propensity score matching estimation indicated that the mean yearly income of participants was greater than that of non-participants. The rosenbaum bounds test also implies that the estimated impact result was not affected by unobserved characteristics. -
Analysis on Determinants of Adoption of Improved Wheat Technology in Liben Jewi District, Oromia Region, Ethiopia
International Journal of Applied Agricultural Sciences 2020; 6(3): 36-43 http://www.sciencepublishinggroup.com/j/ijaas doi: 10.11648/j.ijaas.20200603.12 ISSN: 2469-7877 (Print); ISSN: 2469-7885 (Online) Analysis on Determinants of Adoption of Improved Wheat Technology in Liben Jewi District, Oromia Region, Ethiopia Milkias Dawit Kebede Ethiopian Institute of Agricultural Research/EIAR/, Ambo ARC, Ambo, Ethiopia Email address: To cite this article: Milkias Dawit Kebede. Analysis on Determinants of Adoption of Improved Wheat Technology in Liben Jewi District, Oromia Region, Ethiopia. International Journal of Applied Agricultural Sciences . Vol. 6, No. 3, 2020, pp. 36-43.. doi: 10.11648/j.ijaas.20200603.12 Received : April 21, 2020; Accepted : May 7, 2020; Published : May 28, 2020 Abstract: Ethiopia is the second largest wheat producer in sub-Saharan Africa, after South Africa. In Ethiopia, wheat ranks fourth in total cultivated area and production. This study applied logit regression to examine determinants of adoption of improved wheat varieties in the Liban jewi district of West Showa zone Oromia region Ethiopia. The objective of the study is to analyze determinants that affect adoption of improved wheat varieties which exert significant influence on the adoption behavior of sample respondents in the study area. A total of 154 sample respondents drawn from 6 PAs of the district included in the survey. The model result shows that the adoption of improved wheat varieties by respondents in the study area was positively and significantly affected by farm size, livestock ownership, extension contact and access to credit, whereas, age of respondents, distance from market and distance from farmers training center had negatively and significantly influenced adoption of improved wheat varieties in the study area. -
Key Determinant Factors Affecting the Performance of Small and Medium Scale Manufacturing Enterprise
Published by : International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 Vol. 9 Issue 02, February-2020 Key Determinant Factors Affecting the Performance of Small and Medium Scale Manufacturing Enterprise: A Case Study on West Shoa Zone, Oromia National Regional State, Ethiopia Tekalign Lemma Woldesilassie Venkata Mallikhajuna Kishan Ivatury Department of Industrial Engineering, Institute of Department of Industrial Engineering, Institute of Technology, Ambo University, Technology, Ambo University, Ambo, Ethiopia Ambo, Ethiopia Abstract: This study was focused on the assessment of key reduce poverty and unemployment and also to transform determinant factors affecting small- and medium scale the economy from agriculture based one to manufacturing manufacturing enterprise (SSME). The study was conducted based one. The country has been investing large amount of in west Shoa Zone Districts Oromia National State, Ethiopia. money in Small and Medium enterprises, especially for From a total population of N=696 wood work and metal work manufacturing sectors with a view to improve the socio- manufacturing enterprise among 18 districts, a sample size of (n= 153) were selected through simple random sampling economic condition of the people. Small and micro techniques. Based on the literature review and conceptual enterprise plays a vital role in the improvement of the frame work developed eight hypothesis were developed and country gross domestic product (GDP), generating tested. Eight independent variables considered are labor and additional capitals, for ensuring flow of goods to the personal factors, material factors, equipment and machinery nations and reduce unemployment rate [2]. factors, marketing ingredient, production techniques, product Small and medium scale manufacturing enterprises quality factors, productivity factors, other factors and performance is affected by different factors (problems).