Exploratory Study of Two Regions in Ethiopia to Identify Target Areas and Partners for Intervention
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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 -- -
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. -
Nutrition Surveys 1999
NUTRITION SURVEYS 1999 – 2000 Region/Zone woreda Date of Agency Sample size Methodology Nutrition Indicatorsi survey Tigre throughout August SCF-UK 937 30 cluster Mean WHL <80%WFL W/H<-2 Z score W/H <-3 Z score 1999 92.8% 5.5% 7.7 % 1.0% Tigre Feb 2000 WVI W/H <-2 Z score W/H <-3 Z score Eastern May 2000 Feb 2000 May 2000 Feb 2000 May 2000 Asti Wenberta 685 13.1% 10.9% NA 2.6% Saesi Tsaedaemba 1412 22.3% 20.1% 3.7% 4.4% Amhara: May-June SCF-UK + 2900 58 clusters in Mean WFL < 80% WFL N.Wello Bugna 1999 worst drought 88.8% 4% Wadla affected woredas. 89,4% 7% Gidan 87.8% 3% Delanta Dawnt 89.4% 7% Gubalafto 90.0% 7% S. Wello Dessie Zuria 89.8% 7% Tenta 90.5% 3% Legambo 90.8% 5% Ambassel 90.7% 6% Mekdella 91.2% 4% Wag Hamra Dehana 88.2% 4% Oromyia Chefa 92.8% 2% Amhara Aug - Oct SCF-UK + 2500 50 clusters in Mean WFL < 80% WFL 1999 worst drought Aug Sept Oct Aug Sept Oct N.Wello Bugna affected woredas. 91.2% 88.7% 89.7% 6.6% 10.6% 7.0% Wadla 91.1% 90.7% 90.6% 7.3% 5.5% 5.7% Gidan 88.4% 88.2% 88.4% 8.9% 8.2% 9.6% S. Wello Delanta Dawnt 87.5% 87.6% 87.5% 11.0% 8.0% 7.6% Dessie Zuria 91.9% 90.9% 90.1% 4.0% 6.2% 5.2% Tenta 89.2% 89.1% 88.4% 10.0% 8.3% 11.7% Legambo 89.1% 89.7% 89.6% 8.4% 6.0% 6.4% Wag Hamra Dehana 89.7% 89.5% 90.5% 8.3% 8.2% 6.4% Amhara March- May SCF-UK + 2500 50 clusters in Mean WFL < 80% WFL N.Wello 2000 worst drought March 2000 May 2000 March 2000 May 2000 Bugna affected woredas 90.1% 90.6% Wadla 90.5% 91.1% S. -
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. -
Impact of Khat Production on Household Welfare in Amhara Region of Ethiopia
Impact of khat production on household welfare in Amhara region of Ethiopia by Hanna Lynn Ruder B.S., Kansas State University, 2016 A THESIS submitted in partial fulfillment of the requirements for the degree MASTER OF SCIENCE Department of Agricultural Economics College of Agriculture KANSAS STATE UNIVERSITY Manhattan, Kansas 2018 Approved by: Major Professor Dr. Benjamin Schwab Copyright © Hanna Ruder 2018. Abstract Khat, a lucrative cash crop cultivated in and near the Horn of Africa, is gaining the interest of researchers around the globe. Despite its potential to provide excess income, economic opportunity, and access to technology to those who produce it, the conflicting legal status around the globe causes policy and trade disputes between countries. Research on the impact of khat production on household welfare is sparse. To address this, the purpose of this research is to determine what factors affect the decision to grow khat and subsequently determine the impact of khat production on labor, income, education expenditure, and food security. Data was extracted from a survey conducted in early 2017. A total of 365 households in the Amhara Region of Ethiopia were surveyed. We estimate the factors affecting the decision to grow khat by employing use of two logit models and one linear probability model to calculate marginal effects. We estimate the impact of khat production on labor, income, education expenditure, and food security through propensity score matching. Khat production appears to be adopted by households who are educated and apt to adopt improved technologies. These households are likely to own a donkey, own irrigation, and own more plots than a non-producing household. -
Report and Opinion 2017;9(7) 60
Report and Opinion 2017;9(7) http://www.sciencepub.net/report Community Based Knowledge, Attitude And Practice Of Rabies In Injibara Town And Its Surroundings, Awi Zone, Amhara Regional State, North-Western Ethiopia Yigardush Wassihune1, Melese Yenew1, Ayalew Niguse2 1 College of Veterinary Medicine, Jigjiga University, P.O. Box.1020, Jigjiga, Ethiopia. 2Lecturer at Jigjiga university, College of Veterinary Medicine, Jigjiga University, P.O. Box.1020, Jigjiga, Ethiopia. [email protected] Abstract: Rabies is a viral disease of all warm blooded animals, which causes acute fatal encephalitis, with almost 100% case fatality rate. It is caused by rabies virus (genus Lyssa virus) which is mainly transmitted by rabid animal bites. This disease occurs in more than 150 countries and territories and about 55,000 people die of rabies every year, mostly in developing world despite that it is preventable disease by vaccination. Ethiopia is highly endemic for rabies; yet, a nationwide data on rabies has not been gathered to reveal the actual magnitude of the problem and public awareness levels. With a conviction that a handful of works on public knowledge, attitude and practice (KAP) in rabies be done to plan, execute any control and/or eradication programs, this study was conducted in Injibara town and its surroundings from November, 2015 to April, 2016 to assess the knowledge, attitudes and practices (KAP) on rabies and related factors. The design was: ccommunity-based retrospective, quantitative study design to assess the KAP on rabies and related factors. The entire three kebeles of the town and its surrounding rural kebeles were considered in the study. -
British Geological Survey PLANNING
British Geological Survey TECHNICAL REPORT WC/00/13 Overseas Geology Series PLANNING FOR GROUNDWATER DROUGHT IN AFRICA: TOWARDS A SYSTEMATIC APPROACH FOR ASSESSING WATER SECURITY IN ETHIOPIA Project report on visit to Ethiopia, November-December 1999 British Geological Survey, Wallingford British Geological Survey TECHNICAL REPORT WC/00/13 Overseas Geology Series PLANNING FOR GROUNDWATER DROUGHT IN AFRICA: TOWARDS A SYSTEMATIC APPROACH FOR ASSESSING WATER SECURITY IN ETHIOPIA Project report on visit to Ethiopia, November-December 1999 R C Calow1, A M MacDonald1 and A L Nicol2 1British Geological Survey 2Overseas Development Institute This document is an output from a project funded by the Department for International Development (DFID) for the benefit of developing countries. The views expressed are not necessarily those of the DFID. DFID classification: Subsector: Water and Sanitation Theme: W4 – Raise the well-being of the rural and urban poor through cost-effective improved water supply and sanitation Project Title: Groundwater drought early warning for vulnerable areas Project reference: R7125 Bibliographic reference: Calow, R C, MacDonald, A M and Nicol, A L 2000. Planning for Groundwater Drought in Africa. Towards a Systematic Approach for Assessing Water Security in Ethiopia. Project report on visit to Ethiopia, November – December 1999 BGS Technical Report WC/00/13 Keywords:Ethiopia, groundwater, drought, monitoring Front cover illustration: Looking down onto the River Mille from Abbot Village, Ambassel Woreda. © NERC 2000 Keyworth, Nottingham, British Geological Survey, 2000 Contents Executive Summary iv 1. INTRODUCTION 1 1.1 Visit Objectives 1 1.2 Visit Background 1 1.3 Project Aims and Outputs 3 2. THE STUDY AREA: SOUTH WOLLO 4 2.1 Selection Criteria 4 2.2 Physical Background 5 2.3 Socio-economic Background 5 2.4 Institutions 6 3. -
The Case of Damot Gale District in Wolaita Zone, Ethiopia) Zegeye Paulos Borko* Department of Economics, Wolaita Sodo University, PO Box 138, Wolaita Sodo, Ethiopia
onomic c s & f E o M Borko, Int J Econ Manag Sci 2017, 6:5 l a a n n a r g u e DOI: 10.4172/2162-6359.1000450 o m J International Journal of Economics & e l n a t n S o i c t i a ISSN: 2162-6359 e n n r c e t e s n I Management Sciences Research Article Research Article Open Access Child Labor and Associated Problems (The Case of Damot Gale District in Wolaita Zone, Ethiopia) Zegeye Paulos Borko* Department of Economics, Wolaita Sodo University, PO Box 138, Wolaita Sodo, Ethiopia Abstract The study was carried out at Damot Gale district of Wolaita zone in Southern nation nationalities regional state with the main objectives to describe factors of child labor in the study area. In order to attain this objective the study made use of cross-sectional household survey data collected from 94 sample households. The data collected were analyzed and discussed by using both descriptive statistics and binary logit regression model. To this end, identifying children’s who were in child labor and those who were not in child labor; descriptive result shows that from different age category 73% of the children’s were engaged in different activity and the remaining 27% responded as they were not working. Most children’s started working below the age of 8 and major sectors of work were unpaid family work such as agriculture 58% Male and 7.24% Female and Home service 7.3% Female and 22% male. The result of the logistic regression model revealed that out of 8 variables included in the model, 4 explanatory variables were found to be significant at 1%, 5% and 10% level. -
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. -
S P E C I a L R E P O
S P E C I A L R E P O R T FAO/WFP CROP AND FOOD SECURITY ASSESSMENT MISSION TO ETHIOPIA (Phase 2) Integrating the Crop and Food Supply and the Emergency Food Security Assessments 27 July 2009 FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS, ROME WORLD FOOD PROGRAMME, ROME - 2 - This report has been prepared by Mario Zappacosta, Jonathan Pound and Prisca Kathuku, under the responsibility of the FAO and WFP Secretariats. It is based on information from official and other sources. Since conditions may change rapidly, please contact the undersigned if further information is required. Henri Josserand Mustapha Darboe Deputy Director, GIEWS, FAO Regional Director for Southern, Eastern Fax: 0039-06-5705-4495 and Central Africa, WFP E-mail: [email protected] Fax: 0027-11-5171634 E-mail: : [email protected] Please note that this Special Report is also available on the Internet as part of the FAO World Wide Web (www.fao.org ) at the following URL address: http://www.fao.org/giews/ The Special Alerts/Reports can also be received automatically by E-mail as soon as they are published, by subscribing to the GIEWS/Alerts report ListServ. To do so, please send an E-mail to the FAO-Mail-Server at the following address: [email protected] , leaving the subject blank, with the following message: subscribe GIEWSAlertsWorld-L To be deleted from the list, send the message: unsubscribe GIEWSAlertsWorld-L Please note that it is now possible to subscribe to regional lists to only receive Special Reports/Alerts by region: Africa, Asia, Europe or Latin America (GIEWSAlertsAfrica-L, GIEWSAlertsAsia-L, GIEWSAlertsEurope-L and GIEWSAlertsLA-L). -
World Vision Etiopia
FOOD SECURITY MONITORING REPORT OF NOVEMBER 1999 WORLD VISION ETIOPIA FOOD SECURITY MONITORING REPORT OF NOVEMBER 1999 Grants division February 2000 Addis Ababa FOOD SECURITY MONITORING REPORT OF NOVEMBER 1999 TABLE OF CONTENTS I. EXECUTIVE SUMMARY.............................................................................................................................6 II. SURVEY RESULT CLASSIFICATION AND INTERPRETATION ..............................................................7 III. TIGRAY REGIONAL STATE.........................................................................................................................8 3.1. ATSBI WOMBERTA AND TSEDA AMBA WOREDAS (KILTE AWLAELO ADP) ....................................................8 3.1.1. Back Ground ........................................................................................................................................8 3.1.2. Crop and Livestock Assessment.............................................................................................................8 3.1.3. Market Performance .............................................................................................................................8 3.1.4. Socio-Economic Conditions ..................................................................................................................9 3.1.5. Anthropometric Measurements..............................................................................................................9 IV. AMHARA REGIONAL STATE......................................................................................................................9 -
Factors That Influencing the Profitability of Saving and Credit Cooperatives: the Case of Boloso Sore District, Wolaita Zone, Southern Region, Ethiopia
European Journal of Business and Management www.iiste.org ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online) DOI: 10.7176/EJBM Vol.11, No.19, 2019 Factors that Influencing the Profitability of Saving and Credit Cooperatives: The Case of Boloso Sore District, Wolaita Zone, Southern Region, Ethiopia Yisehak Ossa Jokka Lecturer, College of Business and Economics, Wolaita Sodo University, Wolaita Sodo, Ethiopia Abstract Savings and credit cooperatives are user-owned financial intermediaries. They have many names around the world, including credit unions, SACCOs, etc. Members typically share a common bond based on a geographic area, employer, community, or other affiliation. Members have equal voting rights, regardless of how many shares they own. Savings and credit are their principal services, although many offer money transfers, payment services, and insurance as well. Sometimes savings and credit cooperatives join together to form second -tier associations for the purposes of building capacity, liquidity management, and refinancing. The study was undertaken to identify factors influencing of profitability of saving and credit cooperative in Boloso Sore Woreda Wolaita zone, Southern Ethiopia .The general objective of the study was to identify factors that influencing the profitability of saving and credit cooperatives. A multistage sampling technique was employed to select 305 households from the in order to respond questionnaire . Both quantitative and qualitative data were collected from sampled households. Both descriptive and econometric data analyses techniques were applied. The findings of this study showed that, from the eleven independent variables seven of them significantly affect the profitability of saving and credit cooperative were age, education status, training access, family size, loan repayment, saving habit and service delivery.