Assessment of Farmers' Perception of Climate Change and Variability And
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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 -- -
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. -
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. -
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. -
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. -
Demography and Health
SNNPR Southern Nations Nationalities and Peoples Demography and Health Aynalem Adugna, July 2014 www.EthioDemographyAndHealth.Org 2 SNNPR is one of the largest regions in Ethiopia, accounting for more than 10 percent of the country’s land area [1]. The mid-2008 population is estimated at nearly 16,000,000; almost a fifth of the country’s population. With less than one in tenth of its population (8.9%) living in urban areas in 2008 the region is overwhelmingly rural. "The region is divided into 13 administrative zones, 133 Woredas and 3512 Kebeles, and its capital is Awassa." [1] "The SNNPR is an extremely ethnically diverse region of Ethiopia, inhabited by more than 80 ethnic groups, of which over 45 (or 56 percent) are indigenous to the region (CSA 1996). These ethnic groups are distinguished by different languages, cultures, and socioeconomic organizations. Although none of the indigenous ethnic groups dominates the ethnic makeup of the national population, there is a considerable ethnic imbalance within the region. The largest ethnic groups in the SNNPR are the Sidama (17.6 percent), Wolayta (11.7 percent), Gurage (8.8 percent), Hadiya (8.4 percent), Selite (7.1 percent), Gamo (6.7 percent), Keffa (5.3 percent), Gedeo (4.4 percent), and Kembata (4.3 percent) …. While the Sidama are the largest ethnic group in the region, each ethnic group is numerically dominant in its respective administrative zone, and there are large minority ethnic groups in each zone. The languages spoken in the SNNPR can be classified into four linguistic families: Cushitic, Nilotic, Omotic, and Semitic. -
Determinants of Sesame Market Supply in Melokoza District, Southern 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 Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.82, 2018 Determinants of Sesame Market Supply in Melokoza District, Southern Ethiopia Dagnaygebaw Goshme 1 Bosena Tegegne 2 Lemma Zemedu 2 1.Department of Agricultural Economics, Bule Hora University, Ethiopia 2.School of Agricultural Economics and Agribusiness, Haramaya University, Ethiopia Abstract Sesame is an important cash crop and plays vital role in the livelihood of many people in Ethiopia. However a number of challenges hampered the development of sesame sector along the market. Therefore this study was initiated to analyze the determinants of sesame market supply by farm household in the study area. Both primary and secondary data were used for the study. Primary data were collected from 123 farm households selected randomly through semi structured questionnaire. Secondary data were collected by reviewing documents from different sources. Econometric model were used to analyze the data. The result of the multiple linear regression model indicated that seven variables namely Land allocated under sesame, sesame yield, family size, extension contact, credit access and market information influenced market supply of sesame positively while distance to the nearest market center was found to have a significant negative effect on sesame market supply. The finding suggests that, Strengthening Institutions that convey reliable and timely market information; strengthening extension system through training in all aspect and design financial institutions to address the challenges of financial access to smallholder farmers and traders. -
Alive and Thrive Ethiopia Baseline Report 2011.Pdf
Alive & Thrive is a six-year (2009-2014) initiative to improve infant and young child feeding practices by increasing rates of exclusive breastfeeding and improving complementary feeding practices. The first two years provide a window of opportunity to prevent child deaths and ensure healthy growth and brain development. Alive & Thrive (A&T) aims to reach more than 16 million children under two years old in Bangladesh, Ethiopia, and Viet Nam through various delivery models. Learning will be shared widely to inform policies and programs throughout the world. Alive & Thrive is funded by the Bill & Melinda Gates Foundation and managed by FHI 360. Other members of the A&T consortium include BRAC, GMMB, International Food Policy Research Institute (IFPRI), Save the Children, University of California-Davis, and World Vision. Suggested citation: Ali D, Tedla M, Subandoro A, Bamezai A, Rawat R, Menon P. Alive & Thrive Baseline Survey Report: Ethiopia. Washington, D.C.: Alive & Thrive, 2011. Alive & Thrive FHI 360 1825 Connecticut Avenue, NW Suite S680 Washington, DC 20009-5721 Tel: (202) 884-8000 Fax: (202) 464-3966 [email protected] www.aliveandthrive.org Table of Contents List of Tables ................................................................................................................................................ vi List of Figures ............................................................................................................................................. viii List of Annex Tables .................................................................................................................................... -
Partners for Water Supply and Sanitation (Pfws) and Wateraid
Partners for Water and Sanitation Note on project reports The following report has been prepared by Partners for Water and Sanitation in response to a project Terms of Reference. The content of the report is based on the opinion of the author(s) and does not necessarily represent the opinions of the wider PfWS partnership, or the project funders. Any extracts from the report should only be used with prior permission of the report author(s). Partners for Water and Sanitation, July 2010 Partners for Water and Sanitation Joint Capacity Building Support to the Gamo Gofa Zone, Konso and Derashe Special Woreda Water Resources Development Office (WRDO), Southern Nations, Nationalities and Peoples Region (SNNPR), Ethiopia, on Rehabilitation of Water Supply Schemes. Partners for Water and Sanitation (PfWS) and WaterAid Ethiopia (WAE) Report Submitted by: Paul Stanfield (Wessex Water Services Ltd) Mike Fray (Information and Performance Services Ltd) Melkamu Jelata (Partners for Water and Sanitation) February 2010 Contents amendment record This report has been issued and amended as follows: Revision Description Date Signed 1 Draft for PfWS and February Paul WaterAid Ethiopia 2010 Stanfield Comment 2 Draft Final 25th Feb Paul 2010 Stanfield Joint Capacity Building Support to the Gamo Gofa Zone, Konso and Derashe Special Woreda Water Resources Development Office (WRDO), Southern Nations, Nationalities and Peoples Region (SNNPR), Ethiopia, on Rehabilitation of Water Supply Schemes. 1. Introduction In January 2010, Partners for Water Supply and Sanitation (PfWS) and WaterAid Ethiopia (WAE) conducted a joint capacity building training, workshop and needs assessment event with the Water Resources Development Office (WRDO) in Arba Minch, Gamo Gofa Zone, SNNPR, Ethiopia. -
Prevalence and Risk Factors Associated to Skin Diseases in Small Ruminants in Gamo Gofa Zone, South-Western Ethiopia
Vol. 9(8), pp. 228-234, August 2017 DOI: 10.5897/JVMAH2015.0375 Article Number: E9251B465489 Journal of Veterinary Medicine and ISSN 2141-2529 Copyright © 2017 Animal Health Author(s) retain the copyright of this article http://www.academicjournals.org/JVMAH Full Length Research Paper Prevalence and risk factors associated to skin diseases in small ruminants in Gamo Gofa zone, south-Western Ethiopia Bereket Molla1*, Haba Haile2,3 and Sefinew Alemu2 1The Donkey Sanctuary Working Worldwide, Ethiopia Program, Ethiopia. 2 University of Gondar, Gondar, Ethiopia. 3 Gofa Universal College, Department of Animal Health, Sawla, Ethiopia. Received 25 February 2015; Accepted 27 May 2015 A cross-sectional study was employed to estimate the prevalence of skin diseases in small ruminant and risk factors associated to its occurrence in Gamo Gofa zone from July, 2012 to April, 2014. The study areas were clustered into two agro-ecological zones; lowland and highland area. A total of nine hundred (450 sheep and 450 goats) were examined. Detailed physical examinations and systemic examinations, followed by skin scraping and laboratory tests were carried out to diagnose skin diseases. The Pearson’s chi-square (χ2) test was used to assess the degree of association between skin diseases and risk factors. The overall prevalence was found to be 42.33% (381/900). Significantly higher prevalence (p<0.05) of small ruminant skin disease was observed in goats (52.22%) than sheep (38.66%). Furthermore, the study also revealed significantly higher prevalence (p<0.05) in unvaccinated (42.92%) than vaccinated (29.52%) group of animals. The occurrence of skin diseases was statistically significantly associated with age and sex of animals. -
The Effect of Value Added Tax Administration on Revenue Performance: the Case of Gamo Gofa Zone, Southern, Ethiopia
THE EFFECT OF VALUE ADDED TAX ADMINISTRATION ON REVENUE PERFORMANCE: THE CASE OF GAMO GOFA ZONE, SOUTHERN, ETHIOPIA ARBAMINCH UNIVERSITY COLLEGE OF BUSINESS AND ECONOMICS DEPARTMENT OF ACCOUNTING AND FINANCE A THESIS SUBMITTED TO THE DEPARTMET OF ACCOUNTING AND FINANCE, SCHOOL OF POST GRADUATE STUDIES IN PARTIAL FULFILLMENT IN THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE By AMARECH BEYENE BEZABIH ID NO RMA/003/07 PRINCIPAL ADVISOR: SHAIK ABDUL MUJEEB (PROFESSOR) CO-ADVISOR: MR NEGALIGN MAMO (MSc) JUNE, 2017 ARBAMINCH, ETHIOPIA 6 THE EFFECT OF VALUE ADDED TAX (VAT) ADMINISTRATION ON REVENUE PERFORMANCE: THE CASE OF GAMO GOFA ZONE, SOUTHERN, ETHIOIPA AMARECH BEYENE A THESIS SUBMITTED TO THE DEPARTMET OF ACCOUNTING AND FINANCE, SCHOOL OF POST GRADUATE STUDIES IN PARTIAL FULFILLMENT IN REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE 7 DECLARATION I hereby declare that this MSc thesis is my original work and has not been presented for a degree in any other university, and all sources of material used for this thesis have been duly acknowledged. Amarech Beyene Signature ------------------------------------ Date--------------------------------------- 8 Examiners ‘Thesis Approval sheet School of Postgraduate Studies Arbaminch University We, the undersigned, member of the Board of Examiners of the final open defence by Amarech Beyene have read and evaluated her study entitled “The Effect of Value Added Tax (VAT) Administration on Revenue Performance: The Case of Gamo Gofa zone, Southern, Ethiopia” and examined the candidate’s oral presentation. This is, therefore, to certify that the study has been accepted in partial fulfilment of the requirements for the degree of Master of Accounting and Finance (MSc). -
Ethiopia: SNNP Region Administrative Map (As of 15 Aug 2017)
Ethiopia: SNNP region administrative map (as of 15 Aug 2017) ! ! ! ! ! ! ! ! ! Suten ! ! ! ! ! ! Inge Sodo ! ! !Bui ! ! WelikiteKebena Abeshege ! Kokir Gedbano ! ! Kela ! ! Muhur Na Ak!lil ! Gubire ! ! ! Cheha Agena ! Imdibir! ! Ezha Me!skan ! ! Inseno ! Gonichire ! ! ! Kibet Qewaqoto! Koshe ! ! ! ! ! ! ! Enemorina Eaner Alicho Woriro ! Gumer Mareko ! Selti ! ! Areket Alkeso town ! ! ! ! ! ! Geta Kose Tora ! Fofa ! Werabe ! ! ! Dinkela ! ! Sayilem! ! ! ! ! Yadota Geja Endiguagn Yem SP Woreda ! Dalocha ! Misrak Azenet Berbere ! ! ! ! Misha !LERA Dalocha Masha ! Wilb!areg Gibe ! ! Mierab Azenet Berbere ! ! Lanfero ! Homec!ho ! ! Fonqo town ! Mito ! GAMBELA Gesha (Deka) Kondo GECHA TOWN ! Analemmo ! ! !Deka ! Doesha !Belesa town ! Alem Gebeya Anderacha Getawa Gembora ! ! Limu ! ! Bonosha Sankura ! ! ! Lisana town Jajira Shashogo Gimbichu! ! Hufa ! ! ! Diri Soro ! Gojeb Bita (Big) Gimbo Doya Gena Jacho A!nigach!a ! Alaba SP Woreda ! ! ! Daniboya Wishiwishi Dune Kulito ! Kaka Idget ! Bita Genet ! OROMIA Kelata Mudula Hobichaka ! ! Bonga ! ! ! ! ! Yeki ! Menjiwo ! Chena Tembaro Ke!diada Gambela TEPI TOWN Hadero !TubitoKacha Bira ! ! ! !Adilo Chda Idge T!unito ! Legend WACHA ! ! Terche Misrak Badawacho ! Gena Bosa Chiri BOMIBE 01 ! ! ! ! !Karewo ! Mierab Badawacho ! Ameya P ! Tocha Tocha Edget Boloso Bombe Sheka Tulo ! Regional capital ! Waka ! Semen Bench Alem Gena ! ! ! ! Mehal Sheko Mareka Boloso SoreDamot Pulasa Hawassa Zuria PWondo-Ge! net Gesa ! ! Shanito Hawasa Town ! ! ! ! Shama Chuko Shay Bench ! Bitena Town Mizan Aman ! ! Tula ! Damot