Arbaminch University School of Post Graudate Studies Department Of

Total Page:16

File Type:pdf, Size:1020Kb

Arbaminch University School of Post Graudate Studies Department Of ARBAMINCH UNIVERSITY SCHOOL OF POST GRAUDATE STUDIES DEPARTMENT OF ACCOUNTING AND FINANCE DETERMINANTS OF MICROFINANCE LOAN REPAYMENT PERFORMANCE: IN THE CASE OF OMO MICROFINANCE INSTITUTIONS IN GAMO GOFA ZONE, ARBAMINCH BRANCH M.Sc. THESIS BY Mr. SEGELE SHATE SARO SUPRVISION AND UNDER THE GUIDANCE OF Dr. RUPAK KUMAR JENA (ASSOCIATE PROFESSIER) Mrs. TIGIST HAILE (M.Sc) OCTOBER, 2017 ARBAMINCH, ETHIOPIA I DETERMINANTS OF MICROFINANCE LOAN REPAYMENT PERFORMANCE: THE CASE OF OMO MICROFINANCE INSTITUTIONS IN GAMO GOFA ZONE, ARBAMINCH BRANCH BY: SEGELE SHATE SARO THESIS SUBMITTED TO DEPARTMENT OF ACCOUNTING AND FINANCE, THE SCHOOL OF GRADUATE STUDIES OF ARBAMINCH UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE OCTOBER, 2017 ARBAMINCH, ETHIOPIA II STATEMENT OF AUTHOR First, I declare that this thesis is my work and that all sources of materials used for this thesis have been duly acknowledged. I have pursued all ethical principles of research in the preparation, data collection, data analysis and completion of this thesis. All scholarly matter that is included in the thesis has been given recognition through citation. I affirm that I have cited and referenced all sources used in this document. This thesis is submitted in partial fulfillment of the requirement for a Degree from the School of Graduate Studies at Arbaminch University. The thesis is deposited in the Arbaminch University Library and is made available to borrowers under the rules of the Library. I solemnly declare that this thesis has not been submitted to any other institution anywhere for the award of any academic Degree, Diploma or Certificate. Name: SEGELE SHATE SARO Signature: ----------------------------- Place: Arbaminch University Date of submission: October, 2017 III ARBAMNICH UNIVERISITY SCHOOL OF GRADUATE STUDIES ADVISORS’ THESIS SUBMISSION APPROVAL SHEET As Thesis advisors, We hereby certify that We have read and evaluated this Thesis prepared under our guidance by, SEGELE SHATE SARO entitled “DETERMINANTS OF MICROFINANCE LOAN REPAYMENT PERFORMANCE: THE CASE OF OMO MICROFINANCE INSTITUTIONS IN GAMO GOFA ZONE, ARBAMINCH BRANCH, SOUTHERN NATIONS NATIONALITIES REGIONAL STATE OF ETHIOPIA). We recommended that it can be submitted as fulfilling the thesis requirement. Dr. RUPAK KUMAR JENA, ASSOCIATE PROFESSOR __________ _________ PRINCIPAL ADVISOR SIGNATURE DATE Mrs. TIGIST HAILE, M.SC ____________ ______________ CO- ADVISOR SIGNATURE DATE IV ARBAMINCH UNIVERSITY SCHOOL OF GRADUATE STUDIES EXAMINERS’ APPROVAL PAGE As members of the Examining Board of the M.Sc. Open Defense, we certify that we have read and evaluated the Thesis prepared by Segele Shate Saro and recommended that it can be accepted as fulfilling the Thesis requirement for the Degree of Master of Science in Accounting and Finance. 1. -------------------------- ----------------------- ----------------- Chairperson Signature Date 2. Dr. _________________ ________________ ____________ External examiner Signature Date 3. Dr. or Mr. _______________ ______________ _____________ Internal examiner Signature Date 4. Dr. _____________________ _____________ ____________ Principal advisor Signature Date 5. ___________________________ _________ ___________ DCC/ SGS Approval Signature Date Final approval and acceptance of the thesis is liable up on the submission of the thesis to the school of graduate studies (SGS) through the department /school graduate committee (DGC/SGC) of the candidate department Stamp of SGS Date ___________________ V DEDICATION I dedicate this thesis to my beloved parents, my beloved Wife Mamitu Mengistu and children Selamawit and Tamirat. For their endurance and sacrifice during my academic study and all aspects of the research. Name: SEGELE SHATE SARO Signature: ____________________ Place: Arbaminch University Date of Submission: October, 2017 VI ACKNOWLEDGEMENT First and for most I would like to thank the Almighty God for successful completion of this thesis and for all achievements which I have been able to attain in my entire life. My heartfelt thanks also goes to Dr. Rupak Kumar Jena, PhD, my principal advisor and I would like to express my sincere appreciation and gratitude to my co-advisors Tigist Haile, M.SC, without his and her assistance and guidance this study would not have been completed at least, at its present form. And unreserved comments, advices and eagerly encouragement and useful critiques of this research work. I also greatly appreciate their brotherhood assistance in providing reference materials, guidelines, since the proposal development to final report submission. Secondly, I thank my beloved Wife Mamitu Mengistu. Having you in my life is not regret after all. Thank you for standing with me in these difficult times. I am extremely grateful to my father and mother for their love and encouragement since my childhood and offering the opportunities they never had. My special thanks go to my viewes of my mother Ankute Shufie, My beloved son Tamirat Segele and daughter’s Selamawit Segele, and whole families for their moral support to successfully finalize the thesis work. I convey my deepest thanks to Zala Woreda Administration for giving me chance to follow my M.Sc. study covering expenses. It is my pleasure to express my greatest thanks to all Zala Woreda health office staffs assisting me by financial and moral. Especially, I would like to extend my sincere gratitude to Mr. Bedilu Kucho, Mr. Yakob Abayneh, and Mr. Fisane Firdie, for giving me chance to follow my M.Sc. study and AMU staff members Mr. Manyazual Siyoum and Mr. Zelalem Getachew for material support in my work. My heartfelt thanks and sincere appreciation goes to sample respondents for their willingness to scarify their time and provide genuine responses and enumerators for their dedication and effort made to collect quality data. My grateful thanks are also extended to Mr. Dubusha Aweke my senior fellow graduate for his guidance and critical comment & fully help me on my work from the very beginning of the research work. Finally, it is last but not least, I would like to thank my pleasure to express my greatest appreciation to all my friends assisting me to pursue my education to the highest level. VII ABSTRUCT This study was conducted with the aim of examining the determinants of loan repayment performance in Omo Micro finance institutions of Gamo Gofa zone, Arbaminch branch. The study was used both primary and secondary data. The Primary data were collected by using structured and semi structured questionnaires, FGDs and key informants. Secondary data were collected from the annual report of 2011-2016. To collect the primary data by stratified sampling techniques three wereda’s were selected from18 woreda’s by stratifying them as high, medium and low repayment performance. Then, from each woredas three kebeles were selected purposively. Finally 183 sample respondents were randomly selected from both defaulter and non-default borrowers by quota. Descriptive statistics were used to describe the socio- economic characteristics of the respondents, and the Logit model was used to identify factors determine loan repayment performance of Omo micro finance clients in the study area. Based on the study result, selection method of clients were the main factor that affecting loan repayment in selected sub branches. The result indicated that interest rate, loan size and training were negatively and significantly related to loan repayment performance of Omo microfinance institutions. Follow up and supervision, business type and economic shock were important factors which affected loan repayment performance of the Omo microfinance institutions positively and significantly. Therefore, the study recommends the identified significant variables to be a mechanism for further involvements by financial institutions, stakeholders and rule and regulation makers so as to come with a breakthrough to significantly decrease defaulting problems. Key Words: Omo Microfinance institution, Loan Repayment performance, Defaulters and Non--defaulters. VIII LISTS OF ABBREVIATIONS ADCSI Addis credit & saving institutions AEMFIs Association of Ethiopian micro finance institutions G8 Group eight HH Household Head IGA Income generating activities KSCU Keleta saving and credit Union LACS Lack of Appropriate client screening LDL Loan disbursement lag LR Loan Repayment LRP Loan Repayment Performance MC Micro credit MCI Micro credit Institutions MFI Micro finance Institutions MNL Multinomial Logit NGOs Non-Governmental Organizations OCSSCO Oromia credit & saving Share company OMFIs Omo micro finance Institutions RCOS Repayment culture of the society SC Share company SNNPRS Southern Nation, Nationalities, People, Regional State IX SPSS Statistical package for Social Science SBALI Supervisions before and after loan issued X2 Chi-squire X TABLE OF CONTENTS CONTENTS Pages STATEMENT OF AUTHOR ______________________________________________ii ADVISORS APPROVAL SHEE-------------------------------------------------------------------iii EXAMINERS' APPROVAL SHEET---------------------------------------------------------------iv ACKNOWLEDGEMENT__________________________________________________xxv ABSTRACT---------------------------------------------------------------------------------------------vii LISTS OF ABBREVIATION/Acronyms______________________________________ viii TABLE OF CONTENTS_____________________________________________________ix LISTS OF TABLES _______________________________________________________xi
Recommended publications
  • 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 --
    [Show full text]
  • Background of the Network
    Background of the Network Although interventions against HIV/AIDS in Ethiopia began after the first case was identified in 1984, the establishment of associations of people living with HIV/AIDS didn't happen until the mid 1990s. The involvement of these associations and some other organizations engaged in the fight against the pandemic to the curtain of stigma and discrimination against PLWHA has showed encouraging results and gradually decreased these and other HIV/AIDS related problems. But much remains to be done before it completely disappears and the rights of these groups of the society are fully respected. Now days a number of PLWHA associations are being established throughout the country and are getting involved in the national efforts of fighting against HIV/AIDS. While these associations are involved in the design and implementation of various programs targeting people infected and affected by the virus their emergence and subsequent mushrooming is giving more voice to the debates surrounding the pandemic and to influence policy and the strategies of the government. Nevertheless, the effectiveness and meaningful contribution of these associations was compromised due to the uncoordinated, inconsistent and sometimes contradictory engagements and initiatives. aware of the situations and the need for coordinated and increased involvement of these associations a total of 25 PLWHA associations (embracing more than 2000 PLWHA members) found in the region have established their network /umbrella office in Awassa, capital of the Region in September 2006 while the number is reached to 71. The Network has legally registered as a nongovernmental organization and has got its license from the SNNPR Bureau of Justice.
    [Show full text]
  • Revisiting Gamo: Linguists’ Classification Versus Self Identification of the Community
    Vol. 5(9), pp. 373-380, December, 2013 DOI: 10.5897/IJSA2013.0471 International Journal of Sociology and ISSN 2006- 988x © 2013 Academic Journals Anthropology http://www.academicjournals.org/IJSA Full Length Research Paper Revisiting Gamo: Linguists’ classification versus self identification of the community Hirut Woldemariam Department of Linguistics, Institute of Language Studies, Addis Ababa University, P. O. Box 1176, Addis Ababa, Ethiopia. Accepted 17 September, 2013 This study attempts to contribute to our knowledge about Gamo, a member of the North Ometo subgroup, which is one of the four subgroups that constitute the Ometo group of the Omotic language family (Fleming, 1976; Bender, 2000). This paper characterizes some of the issues in the research of language and identity. It will attempt to employ the complementary perspectives of sameness and difference between Gamo, its sisters in the North Ometo sub-branch and its dialects. North Ometo comprises of several related languages and dialects of which Gamo is one. The exact relationship amongst the Ometo languages is not well known. Not equally well known is the relationship Gamo has with its sisters and daughters. The study tries to address issues concerning with misrepresentation of the Gamo language by the existing classification in one hand and what the self perception of the Gamo community likes on the other hand. This study aimed at examining linguistic facts and the Gamo speakers’ own understandings of their identities. To this end, the study has used linguistic, anthropological and sociolinguists attempt to characterize membership of Gamo based on linguistic facts and members’ self ethno-linguistic identificationi.
    [Show full text]
  • Food Supply Prospects - 2009
    FOOD SUPPLY PROSPECTS - 2009 Disaster Management and Food Security Sector (DMFSS) Ministry of Agriculture and Rural Development (MoARD) Addis Ababa Ethiopia February 10, 2009 TABLE OF CONTENTS Pages LIST OF GLOSSARY OF LOCAL NAMES 2 ACRONYMS 3 EXECUTIVE SUMMARY 5 - 8 INTRODUCTION 9 - 12 REGIONAL SUMMARY 1. SOMALI 13 - 17 2. AMHARA 18 – 22 3. SNNPR 23 – 28 4. OROMIYA 29 – 32 5. TIGRAY 33 – 36 6. AFAR 37 – 40 7. BENSHANGUL GUMUZ 41 – 42 8. GAMBELLA 43 - 44 9. DIRE DAWA ADMINISTRATIVE COUNSEL 44 – 46 10. HARARI 47 - 48 ANNEX – 1 NEEDY POPULATION AND FOOD REQUIREMENT BY WOREDA 2 Glossary Azmera Rains from early March to early June (Tigray) Belg Short rainy season from February/March to June/July (National) Birkads cemented water reservoir Chat Mildly narcotic shrub grown as cash crop Dega Highlands (altitude>2500 meters) Deyr Short rains from October to November (Somali Region) Ellas Traditional deep wells Enset False Banana Plant Gena Belg season during February to May (Borena and Guji zones) Gu Main rains from March to June ( Somali Region) Haga Dry season from mid July to end of September (Southern zone of of Somali ) Hagaya Short rains from October to November (Borena/Bale) Jilal Long dry season from January to March ( Somali Region) Karan Rains from mid-July to September in the Northern zones of Somali region ( Jijiga and Shinile zones) Karma Main rains fro July to September (Afar) Kolla Lowlands (altitude <1500meters) Meher/Kiremt Main rainy season from June to September in crop dependent areas Sugum Short rains ( not more than 5 days
    [Show full text]
  • Full Length Research Article DEVELOPMENT RESEARCH
    Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 07, Issue, 01, pp.11119-11130, January, 2017 Full Length Research Article DETERMINANTS OF RURAL HOUSEHOLDS’ VULNERABILITY TO POVERTY IN CHENCHA AND ABAYA DISTRICTS, SOUTHERN ETHIOPIA *Fassil Eshetu Abebe Department of Economics, College of Business and Economics, Arba Minch University ARTICLE INFO ABSTRACT Article History: This study primarily aimed to examine the determinants of rural households’ vulnerability to Received 27th October, 2016 poverty and to profile the households according to their level of vulnerability using Feasible Received in revised form Generalized Least Square (FGLS) and Logistic Regression analysis with the help of data collected 28th November, 2016 from a sample of 500 households in two Woredas. The general poverty line of the study area was Accepted 14th December, 2016 determined to be Birr 248 per month per adult equivalent and 29.8 percent of the population in the th Published online 30 January, 2017 study areas were found to be poor. The projected consumption percapita after the three step FGLS estimation revealed that, the incidence of vulnerability to poverty in the area was 34.2 percent and Key Words: therefore, vulnerability was more spread in the study areas than ex post poverty. Using the two Poverty, Vulnerability, vulnerability thresholds, observed poverty rate (0.298) and vulnerability of 0.5, about 28.6%, Feasible Generalized Least Square, 5.6% and 65.8% of households were highly vulnerable, low vulnerable and not vulnerable Logit Model and Ethiopia. respectively. Most importantly, from the total poor households about 81.75%, 3.25% and 15% were highly vulnerable, low vulnerable and not vulnerable respectively.
    [Show full text]
  • Land Use Patterns and Its Implication for Climate Change: the Case of Gamo Gofa, Southern Ethiopia
    Defaru Debebe. et al., IJSRR 2013, 2(3), 155-173 Research article Available online www.ijsrr.org ISSN: 2279–0543 International Journal of Scientific Research and Reviews Land Use Patterns and its Implication for Climate Change: The Case of Gamo Gofa, Southern Ethiopia Defaru Debebe* and Tuma Ayele Arba Minch University P.O.Box 21, Arba Minch, Ethiopia ABSTRACT Land is one of three major factors of production in classical economics (along with labor and capital) and an essential input for housing and crop production. Land use is the backbone of agriculture and it provides substantial economic and social benefits. Assessing past-to present land use patterns associated with the crop production helps to understand which climatic effects might arise due to expanding crop cultivation. This study was conducted to evaluate the land use pattern and its implication for climate change in Gamo Gofa, Southern Ethiopia. For evaluation, correlation and time series trend analysis were used. Results revealed that a significant reduction in cultivable land, which was converted into cropland and might increase deforestation and greenhouse gas emission, in turn induce climate change. The correlation between cropland and fertile (cultivable) land (r=0.22674) in 2005 improved to (r=0.75734) in 2012 indicating major shift of fertile land to cropland in seven years interval. On other side, twelve years (1987-1999 and 2000-2011) average maximum temperature difference in Gamo Gafa was increased 0.425oC with standard deviation 0.331. It is statistically significant (t =1.284, alpha=0.10) at 10% level of error. Moreover, the spatial differences in climate change are likely to imply a heterogeneous pattern of land use responses.
    [Show full text]
  • Climate Change Mitigation Potential of Ethiopia's Productive Safety Net
    Cover Sheet November 2015 Climate Change Mitigation Potential of Ethiopia’s Productive Safety Net Program (PSNP) Dominic Woolf1, Eleanor Milne2, Mark Easter2, Stefan Jirka1, Dawit Solomon1, Stephen DeGloria1, and Johannes Lehmann1 1 Cornell University 2 Colorado State University Climate Change Mitigation Potential of Ethiopia’s Productive Safety-Net Program (PSNP) This report was prepared on behalf of The World Bank by: Dominic Woolf1, Eleanor Milne2, Mark Easter2, Stefan Jirka1, Dawit Solomon1, Stephen DeGloria1, and Johannes Lehmann1. 1 Cornell University 2 Colorado State University November 2015 Please cite this work as follows: Woolf, D., Jirka, S., Milne, E., Easter, M., DeGloria, S., Solomon, D., & Lehmann, J. 2015. “Climate Change Mitigation Potential of Ethiopia’s Productive Safety-Net Program (PSNP)”. A World Bank Climate Smart Initiative (CSI) Report. Cornell University. https://ecommons.cornell.edu/handle/1813/41296 The PSNP is implemented by the Government of Ethiopia with support from the following development partners: Canadian International Development Agency, Irish Aid, European Commission, Royal Netherlands Embassy, Swedish International Development Cooperation Agency, UK Department for International Development, United States Agency for International Development, World Food Program and World Bank. 1 TABLE OF CONTENTS List of Figures .................................................................................................................................. 4 Acknowledgements ........................................................................................................................
    [Show full text]
  • Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008)
    Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008) ma, maa (O) why? HES37 Ma 1258'/3813' 2093 m, near Deresge 12/38 [Gz] HES37 Ma Abo (church) 1259'/3812' 2549 m 12/38 [Gz] JEH61 Maabai (plain) 12/40 [WO] HEM61 Maaga (Maago), see Mahago HEU35 Maago 2354 m 12/39 [LM WO] HEU71 Maajeraro (Ma'ajeraro) 1320'/3931' 2345 m, 13/39 [Gz] south of Mekele -- Maale language, an Omotic language spoken in the Bako-Gazer district -- Maale people, living at some distance to the north-west of the Konso HCC.. Maale (area), east of Jinka 05/36 [x] ?? Maana, east of Ankar in the north-west 12/37? [n] JEJ40 Maandita (area) 12/41 [WO] HFF31 Maaquddi, see Meakudi maar (T) honey HFC45 Maar (Amba Maar) 1401'/3706' 1151 m 14/37 [Gz] HEU62 Maara 1314'/3935' 1940 m 13/39 [Gu Gz] JEJ42 Maaru (area) 12/41 [WO] maass..: masara (O) castle, temple JEJ52 Maassarra (area) 12/41 [WO] Ma.., see also Me.. -- Mabaan (Burun), name of a small ethnic group, numbering 3,026 at one census, but about 23 only according to the 1994 census maber (Gurage) monthly Christian gathering where there is an orthodox church HET52 Maber 1312'/3838' 1996 m 13/38 [WO Gz] mabera: mabara (O) religious organization of a group of men or women JEC50 Mabera (area), cf Mebera 11/41 [WO] mabil: mebil (mäbil) (A) food, eatables -- Mabil, Mavil, name of a Mecha Oromo tribe HDR42 Mabil, see Koli, cf Mebel JEP96 Mabra 1330'/4116' 126 m, 13/41 [WO Gz] near the border of Eritrea, cf Mebera HEU91 Macalle, see Mekele JDK54 Macanis, see Makanissa HDM12 Macaniso, see Makaniso HES69 Macanna, see Makanna, and also Mekane Birhan HFF64 Macargot, see Makargot JER02 Macarra, see Makarra HES50 Macatat, see Makatat HDH78 Maccanissa, see Makanisa HDE04 Macchi, se Meki HFF02 Macden, see May Mekden (with sub-post office) macha (O) 1.
    [Show full text]
  • Hygienic Practice Among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia
    Research Article Volume 12:2, 2021 Journal of Veterinary Science & Technology ISSN: 2157-7579 Open Access Knowledge; Hygienic Practice among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia Edget Alembo* Department of Animal Science, Arba Minch University, Arba Minch, Ethiopia Abstract A cross-sectional questionnaire survey was conducted in Arba Minch Zuria and Demba Gofa districts of Gamo and Gofa Zone of the Southern nation nationalities and people’s regional state with the objectives of assessing knowledge of hygienic practice of milk and cheese handlers in both study area. For this a total of 102 farmers who involved in milking, collecting and retailing of milk were included in the study area. Data obtained from questionnaire survey were analyzed by descriptive statistics and Chi –square test, using the Statistical package for social science (SPSS Version 17). The participants of this study were woman of different age group and 27(52.9%) of participants in Arba Minch Zuria and 32(64.7%) in Demba Gofa were >36 years old. The majority of participants 21(41.2%) and 22(43.1%) were educated up to grade 1-8 in Arba Minch Zuria and Demba Gofa, respectively. This had an impact on hygienic practice of milking and milk handling. The difference in hygienic handling, training obtained and cheese making practice among the study areas were statistically significant (p<0.05). There was also a statistically significant difference in hand washing and utensil as well as manner of washing between the two study areas (p<0.01). Finally this study revealed that there were no variation in Antibiotic usage and Practice of treating sick animal in both study area (p>0.05) with significant difference in Prognosis, Level of skin infection and Selling practice among study participants in both study areas (p<0.05).
    [Show full text]
  • EARS FAST Crop Yield Forecast
    EARS FAST Crop Yield Forecast Maize - East Africa - 15 September 2008 Subject: Forecasted Maize Yield Region: East African countries Issuing date: 15 September 2008 INTRODUCTION The present document provides a preliminary forecast of crop yield expected at the end of the current growing season. Forecasts are provided from halfway the growing season (70 growing days). Although at that time the most critical stages of crop development have passed, the final outcome may still be subject to some change depending on how the second half of the season proceeds. Our forecasts are updated regularly with the most recent satellite data and we advise you to check our website (www.ears.nl) for the most recent bulletin. METHOD FAST is the acronym of Food Assessment by Satellite Technology , a Meteosat based crop yield forecasting system developed and operated by EARS in Delft, the Netherlands. The assessment of crop growth conditions and the crop yield forecasts are based on visible and thermal infrared hourly data. These data are processed in 3 steps: (1) Hourly Meteosat data are processed to daily average values of surface temperature, air temperature, global radiation, net radiation, potential and actual evapotranspiration. (2) Radiation and evapotranspiration data enter into a crop growth model, which simulates crop yield on a daily basis. (3) Distributed crop yield results are integrated for crop growing areas, countries and provinces. Urban areas, forest, water and barren land are excluded. CROP The crop calendar in Figure 1 shows the vegetative period (green), the Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec mid-season period (grey) and the BURUNDI sec harvesting period (yellow) for the CENTR AFR REP CHAD countries in the region.
    [Show full text]
  • Ethiopia-Kenya
    THE FEDERAL DEMOCRATIC REPUBLIC OF KENYA REPUBLIC OF ETHIOPIA ETHIOPIAN ELECTRIC POWER KENYA ELECTRICITY TRANSMISSION COMPANY LIMITED CORPORATION (EEPCo) ETHIOPIA-KENYA POWER SYSTEMS INTERCONNECTION PROJECT REVISION OF ENVIRONMENTAL AND SOCIAL IMPACT ASSESSMENT AND RESETTLEMENT ACTION PLAN STUDIES RESETTLEMENT ACTION PLAN (RAP) FINAL REPORT PART 1: ETHIOPIA JANUARY 2012 Tropics Consulting Engineers Plc Gamma Systems Ltd P.O.Box 351 Addis Ababa, Ethiopia P O Box 1033 – 00606 TEL 251-11-618 54 66 Fax 251-11-618 38 61 NAIROBI, Kenya Tel: +254 20 44 51 528 e-mail: [email protected] Fax: +254 20 44 51 529 web-site www.tropicsconsultingengineers.com Ethiopian Electric Power Corporation (EEPCo) Ethiopia-Kenya Power Systems Interconnection Project Kenya Electricity Transmission Company Limited Resettlement Action Plan (RAP) Final Report General Table of Contents Pages E. Executive Summary ..................................................................................... E-0 1 Introduction .................................................................................................. 1-1 2. Description of the project, project area and area of influence ...................... 2-1 3 Potential Impacts ......................................................................................... 3-1 4. Organizational Responsibility ....................................................................... 4-1 5 Community Participation .............................................................................. 5-1 6 Integration with host communities
    [Show full text]
  • World Bank Document
    Sample Procurement Plan (Text in italic font is meant for instruction to staff and should be deleted in the final version of the PP) Public Disclosure Authorized (This is only a sample with the minimum content that is required to be included in the PAD. The detailed procurement plan is still mandatory for disclosure on the Bank’s website in accordance with the guidelines. The initial procurement plan will cover the first 18 months of the project and then updated annually or earlier as necessary). I. General 1. Bank’s approval Date of the procurement Plan: Updated Procurement Plan, M 2. Date of General Procurement Notice: Dec 24, 2006 Public Disclosure Authorized 3. Period covered by this procurement plan: The procurement period of project covered from year June 2010 to December 2012 II. Goods and Works and non-consulting services. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: [Thresholds for applicable procurement methods (not limited to the list below) will be determined by the Procurement Specialist /Procurement Accredited Staff based on the assessment of the implementing agency’s capacity.] Public Disclosure Authorized Procurement Method Prior Review Comments Threshold US$ 1. ICB and LIB (Goods) Above US$ 500,000 All 2. NCB (Goods) Above US$ 100,000 First contract 3. ICB (Works) Above US$ 15 million All 4. NCB (Works) Above US$ 5 million All 5. (Non-Consultant Services) Below US$ 100,000 First contract [Add other methods if necessary] 2. Prequalification. Bidders for _Not applicable_ shall be prequalified in accordance with the provisions of paragraphs 2.9 and 2.10 of the Public Disclosure Authorized Guidelines.
    [Show full text]