Cidr – Microfinance Technical Support Centre Wasasa Micro-Finance Institution
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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 -- -
Ethiopia Bellmon Analysis 2015/16 and Reassessment of Crop
Ethiopia Bellmon Analysis 2015/16 And Reassessment Of Crop Production and Marketing For 2014/15 October 2015 Final Report Ethiopia: Bellmon Analysis - 2014/15 i Table of Contents Acknowledgements ................................................................................................................................................ iii Table of Acronyms ................................................................................................................................................. iii Executive Summary ............................................................................................................................................... iv Introduction ................................................................................................................................................................ 9 Methodology .................................................................................................................................................. 10 Economic Background ......................................................................................................................................... 11 Poverty ............................................................................................................................................................. 14 Wage Labor ..................................................................................................................................................... 15 Agriculture Sector Overview ............................................................................................................................ -
Determinants of Loan Repayment Performance of Smallholder Farmers in Horro and Abay Choman Woredas of Horoguduru- Wollega Zone, Oromia Region, Ethiopia
Journal of Agricultural Economics and Rural Development Vol. 5(3), pp. 648-655, December, 2019. © www.premierpublishers.org, ISSN: 2167-0477 Research Article Determinants of Loan Repayment Performance of Smallholder Farmers in Horro and Abay Choman woredas of Horoguduru- Wollega Zone, Oromia Region, Ethiopia *1Amsalu File, 2Oliyad Sori 1Wollega University, The Campus’s Finance Head, P.O. Box 38, Ethiopia 2Wollega University, Department of Agricultural Economics, P.O. Box 38, Ethiopia Credit repayment is one of the dominant importance for viable financial institutions. This study was aimed to identify determinants of loan repayment capacity of smallholder farmers in Horro and Abay-Chomen Woredas. The study used primary data from a sample of formal credit borrower farmers in the two woredas through structured questionnaire. A total of 120 farm households were interviewed during data collection and secondary data were collected from different organizations. The logit model results indicated that a total of fourteen explanatory variables were included in the model of which six variables were found to be significant.; among these variables, family size and expenditure in social ceremonies negatively while, credit experience, livestock, extension contact and income from off-farm activities positively influenced the loan repayment performance of smallholder farmers in the study areas. Based on the result, the study recommended that the lending institution should give attention on loan supervision and management while the borrowers should give attention on generating alternative source of income to pay the loans which is vital as it provides information that would enable to undertake effective measures with the aim of improving loan repayment in the study area. -
Tulu Kapi Nyota Min Ltd '09 Technical
- Key Features - Exploration - Introduction - Mineralisation - Project Description, General Infrastructure and - Distribution of Mineralistation Accessibility - Deposit Type - Topography, Climate and Vegetation - Sampling Method and Approach - Legal Aspects and Tenure - Sample Preparation, Analysis and Security - Environmental Requirements - Mineralogical Studies and Mineral Processing - Country History - Data Verification and QA/QC - Country Profile and Economy - Adjacent Properties and Competitor Companies - Mining Sector of the Economy - Modelling and Mineral Resource Estimation IN THIS DOCUMENT - Historical Exploration and Operations in the Tulu - Conclusions Investors Report on the Kapi Area - References Tulu Kapi Gold Project, Ethiopia - Regional Geological Setting th - Local Geology as at 30 September 2009 KEY FEATURES Compliance: Venmyn utilises a comprehensive checklist incorporating all internationally required compliance requirements, in particular the Canadian National Instrument 43-101 and SAMREC/SAMVAL Codes for public reporting of mineral assets. The information quoted in this Prospectivity Review has been scrutinised in terms of this checklist and prepared for investors according to the principles of open and transparent disclosure embodied in the underlying codes for mineral resources reporting. Qualified Persons: Mr.Andy Clay, M.Sc. (Geol), M.Sc. (Min. Eng.), Dip.Bus.M., Pr.Sci.Nat., MSAIMM, FAusIMM, FGSSA,AAPG, M.Inst.D. Mr. Neil Mc Kenna, M.Sc. (Geol), Pr.Sci.Nat., MSAIMM, MGSSA, MIASSA, M.Inst.D. Mr. Richard Tayelor, B.Sc. Hons (Geol). MGSSA. Effective Date: 30th September 2009. Prepared For: Nyota Minerals Limeted (Nyota), previously Dwyka Resources Limited (Dwyka). Purpose: Review of the prospectivity and technical merits of the Tulu Kapi Gold Project in Ethiopia. Sources of Information: Public domain information as listed in the reference list, Nyota, Dwyka and Minerva Resources PLC internal reports and, presentations and Hellman & Schofield (Pty) Ltd. -
The Reactions of Limmu Oromo of Western Ethiopia During and After the Italian Occupation (1936-41)
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 Historical Research Letter www.iiste.org ISSN 2224-3178 (Paper) ISSN 2225-0964 (Online) Vol.47, 2018 The Reactions of Limmu Oromo of Western Ethiopia During and After the Italian Occupation (1936-41) Fekede Sileshi Fufa 1 Ketebo Abdiyo(PhD) 2 1.College of Social Science Department of History, Sebeta Special Needs College of Teacher’s Education 2.Jimma University Abstract In this paper, it has been attempted to highlight the features of the five years administration system and the continuity and changes that took place during the Italy administration in the area. During the Italian Occupation, Limmu was the administrative center of the Italians for the Oromo of Western Anger River. Surprisingly, Limmu Oromo during the Italian occupation (1936-41) fought both the Italians and the naftañä settlers. According to genuine sources, during Italian Occupation (1936-1941) the naftañä-gabär system was removed in the study area. Accordingly, the most important event of this period was that the Limmu Oromo were librated from the naftañä rule by their leader, Fitawurari Duguma Jaldeso. Relatively speaking, according to many written materials and oral sources, the Italian administration was better than the former administration system in Limmu. The Italian Occupation was a land mark in the history of the gabärs in the surrounding region in general and that of Limmu in particular. Soon after they stationed at Ayana (the capital of Gidda-Kiramu Woreda), the Italian military station for the areas between the Abay and Angar, Italians successfully abolished the gabär system in the area. -
Vulnerability Analysis of Smallholder
Tessema and Simane Ecological Processes (2019) 8:5 https://doi.org/10.1186/s13717-019-0159-7 RESEARCH Open Access Vulnerability analysis of smallholder farmers to climate variability and change: an agro- ecological system-based approach in the Fincha’a sub-basin of the upper Blue Nile Basin of Ethiopia Israel Tessema1,2* and Belay Simane1 Abstract Background: Ethiopia is frequently cited as a country that is highly vulnerable to climate variability and change. The country’s high vulnerability arises mostly from climate-sensitive agricultural sector that suffers a lot from risks associated with rainfall variability. The vulnerability factors (exposure, sensitivity, and adaptive capacity) of the agricultural livelihoods to climate variability and change differ across agro-ecological systems (AESs). Therefore, the aim of this study was to analyze AES-specific vulnerability of smallholder farmers to climate variability and change in the Fincha’a sub-basin. We surveyed 380 respondents from 4 AESs (highland, midland, wetland, and lowland) randomly selected. Furthermore, focus group discussion and key informant interviews were also performed to supplement and substantiate the quantitative data. Livelihood vulnerability index was employed to analyze the levels of smallholders’ agriculture vulnerability to climate variability and change. Data on socioeconomic and biophysical attribute were collected and combined into the indices and vulnerability score was calculated for each agro-ecological system. Results: Considerable variation was observed across the agro-ecological systems in profile, indicator, and the three livelihood vulnerability indices-Intergovernmental Panel on Climate Change dimensions (exposure, sensitivity, and adaptive capacity) of vulnerability. The lowland AES exhibited higher exposure, low adaptive capacity, and high vulnerability, while the midland AES demonstrated lower exposure, higher adaptive capacity, and lower vulnerability. -
Oromia Region Administrative Map(As of 27 March 2013)
ETHIOPIA: Oromia Region Administrative Map (as of 27 March 2013) Amhara Gundo Meskel ! Amuru Dera Kelo ! Agemsa BENISHANGUL ! Jangir Ibantu ! ! Filikilik Hidabu GUMUZ Kiremu ! ! Wara AMHARA Haro ! Obera Jarte Gosha Dire ! ! Abote ! Tsiyon Jars!o ! Ejere Limu Ayana ! Kiremu Alibo ! Jardega Hose Tulu Miki Haro ! ! Kokofe Ababo Mana Mendi ! Gebre ! Gida ! Guracha ! ! Degem AFAR ! Gelila SomHbo oro Abay ! ! Sibu Kiltu Kewo Kere ! Biriti Degem DIRE DAWA Ayana ! ! Fiche Benguwa Chomen Dobi Abuna Ali ! K! ara ! Kuyu Debre Tsige ! Toba Guduru Dedu ! Doro ! ! Achane G/Be!ret Minare Debre ! Mendida Shambu Daleti ! Libanos Weberi Abe Chulute! Jemo ! Abichuna Kombolcha West Limu Hor!o ! Meta Yaya Gota Dongoro Kombolcha Ginde Kachisi Lefo ! Muke Turi Melka Chinaksen ! Gne'a ! N!ejo Fincha!-a Kembolcha R!obi ! Adda Gulele Rafu Jarso ! ! ! Wuchale ! Nopa ! Beret Mekoda Muger ! ! Wellega Nejo ! Goro Kulubi ! ! Funyan Debeka Boji Shikute Berga Jida ! Kombolcha Kober Guto Guduru ! !Duber Water Kersa Haro Jarso ! ! Debra ! ! Bira Gudetu ! Bila Seyo Chobi Kembibit Gutu Che!lenko ! ! Welenkombi Gorfo ! ! Begi Jarso Dirmeji Gida Bila Jimma ! Ketket Mulo ! Kersa Maya Bila Gola ! ! ! Sheno ! Kobo Alem Kondole ! ! Bicho ! Deder Gursum Muklemi Hena Sibu ! Chancho Wenoda ! Mieso Doba Kurfa Maya Beg!i Deboko ! Rare Mida ! Goja Shino Inchini Sululta Aleltu Babile Jimma Mulo ! Meta Guliso Golo Sire Hunde! Deder Chele ! Tobi Lalo ! Mekenejo Bitile ! Kegn Aleltu ! Tulo ! Harawacha ! ! ! ! Rob G! obu Genete ! Ifata Jeldu Lafto Girawa ! Gawo Inango ! Sendafa Mieso Hirna -
Eastern Nile Technical Regional Office
. EASTERN NILE TECHNICAL REGIONAL OFFICE TRANSBOUNDARY ANALYSIS FINAL COUNTRY REPORT ETHIOPIA September 2006 This report was prepared by a consortium comprising Hydrosult Inc (Canada) the lead company, Tecsult (Canada), DHV (The Netherlands) and their Associates Nile Consult (Egypt), Comatex Nilotica (Sudan) and A and T Consulting (Ethiopia) DISCLAIMER The maps in this Report are provided for the convenience of the reader. The designations employed and the presentation of the material in these maps do not imply the expression of any opinion whatsoever on the part of the Eastern Nile Technical Office (ENTRO) concerning the legal or constitutional status of any Administrative Region, State or Governorate, Country, Territory or Sea Area, or concerning the delimitation of any frontier. WATERSHED MANAGEMENT CRA CONTENTS DISCLAIMER ........................................................................................................ 2 LIST OF ACRONYMS AND ABBREVIATIONS .................................................. viii EXECUTIVE SUMMARY ...................................................................................... x 1. BACKGROUND ................................................................................................ 1 1.1 Introduction ............................................................................................. 1 1.2 Primary Objectives of the Watershed Management CRA ....................... 2 1.3 The Scope and Elements of Sustainable Watershed Management ........ 4 1.3.1 Watersheds and River Basins 4 -
190327 Oromia Region Agric S
ETHIOPIA: AGRICULTURE SECTOR HRP OROMIA REGION MONTHLY DASHBOARD - March 2019 The devastating impact on agriculture following consecutive years of drought in Ethiopia is undisputed. While forecasts for 2019 indicate a probability of normal to above normal rain in most parts of Ethiopia, in east, south and southeastern regions, the upcoming rainy season (March to June) is forecast- KEY FIGURES ed to be average or below average. In areas where normal to above normal rains are expected, recovery will not be spontaneous, as previous OVERVIEW HOUSEHOLDS REACHED drought-affected households are likely to require sustained humanitarian assistance as a result of exhausted coping mechanisms. HOUSEHOLDS IN NEED Humanitarian assistance for IDPs and IDP returnees is largely dependent on IDPs’ access to land and the livelihood assets they have been able to 1.15 million maintain during displacement. Emergency feed and animal health interventions are needed to reduce the burden on the resources of the host 0.0m 0% communities and prevent the spread of diseases, especially for animals displaced across regional borders. Where appropriate, land will be availed and crop seeds, farming tools, and training will be provided to support IDP and returning households to improve their food security and reduce the burden HOUSEHOLDS TARGETED on host Communities. 658,428 IDP HOUSEHOLDS TARGETED N_Shewa 0m 0% Horo 64,195 Guduru Chinaksen Guto W_Wellega Gida Meta Sasiga Finfine Doba Gursum AGRICULTURE LIVESTOCK E_Wellega Mieso Crop Seeds &Tools W_Shewa Special Girawa -
ETHIOPIA - National Hot Spot Map 31 May 2010
ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly. -
WCBS III Supply Side Report 1
Federal Democratic Republic of Ethiopia Ministry of Capacity Building in Collaboration with PSCAP Donors "Woreda and City Administrations Benchmarking Survey III” Supply Side Report Survey of Service Delivery Satisfaction Status Final Addis Ababa July, 2010 ACKNOWLEDGEMENT The survey work was lead and coordinated by Berhanu Legesse (AFTPR, World Bank) and Ato Tesfaye Atire from Ministry of Capacity Building. The Supply side has been designed and analysis was produced by Dr. Alexander Wagner while the data was collected by Selam Development Consultants firm with quality control from Mr. Sebastian Jilke. The survey was sponsored through PSCAP’s multi‐donor trust fund facility financed by DFID and CIDA and managed by the World Bank. All stages of the survey work was evaluated and guided by a steering committee comprises of representatives from Ministry of Capacity Building, Central Statistical Agency, the World Bank, DFID, and CIDA. Large thanks are due to the Regional Bureaus of Capacity Building and all PSCAP executing agencies as well as PSCAP Support Project team in the World Bank and in the participating donors for their inputs in the Production of this analysis. Without them, it would have been impossible to produce. Table of Content 1 Executive Summary ...................................................................................................... 1 1.1 Key results by thematic areas............................................................................................................ 1 1.1.1 Local government finance ................................................................................................... -
Risk Map Assessment
Risk Map Assessment A Socio-Economic Study on Vulnerable Children and Adolescents In West Hararge Zone Chiro and Gemechis Woredas Comitato Internazionale per lo Sviluppo dei Popoli (CISP) (International Committee for the Development of Peoples) In the framework of the Italian Cooperation Programme in support of vulnerable children and adolescents in Ethiopia Research Team Desta Ayode Azmeraw Belay Mekdes G/Tinsaye Addis Ababa, June 2006 Risk Map Assessment Table of content Page Acknowledgement ----------------------------------------------------------- i List of Acronyms ------------------------------------------------------------ ii List of Tables and Charts --------------------------------------------------- iii Executive Summary --------------------------------------------------------- 1 Part One; Background ---------------------------------------------- 4 1.1 Introduction------------------------------------------------------------------ 4 1.2 Policy and Legal Framework----------------------------------------------- 5 1.3 Background of the Study--------------------------------------------------- 6 1.4 Objectives of the Study---------------------------------------------- ------ 6 1.5 Overview of the Study Area----------------------------------------- ------ 7 1.6 Structure of the Report----------------------------------------------------- 8 Part Two: Methodology------------------------------------------- 9 2.1 Instruments-------------------------------------------------------------------- 9 2.2 Selection of the Study Sites-------------------------------------------------