SEMI-ANNUAL REPORT October 1, 2017-March 31, 2018
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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 -- -
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. -
Modeling Malaria Cases Associated with Environmental Risk Factors in Ethiopia Using Geographically Weighted Regression
MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING GEOGRAPHICALLY WEIGHTED REGRESSION Berhanu Berga Dadi i MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING THE GEOGRAPHICALLY WEIGHTED REGRESSION MODEL, 2015-2016 Dissertation supervised by Dr.Jorge Mateu Mahiques,PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain Ana Cristina Costa, PhD Professor, Nova Information Management School University of Nova Lisbon, Portugal Pablo Juan Verdoy, PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain March 2020 ii DECLARATION OF ORIGINALITY I declare that the work described in this document is my own and not from someone else. All the assistance I have received from other people is duly acknowledged, and all the sources (published or not published) referenced. This work has not been previously evaluated or submitted to the University of Jaume I Castellon, Spain, or elsewhere. Castellon, 30th Feburaury 2020 Berhanu Berga Dadi iii Acknowledgments Before and above anything, I want to thank our Lord Jesus Christ, Son of GOD, for his blessing and protection to all of us to live. I want to thank also all consortium of Erasmus Mundus Master's program in Geospatial Technologies for their financial and material support during all period of my study. Grateful acknowledgment expressed to Supervisors: Prof.Dr.Jorge Mateu Mahiques, Universitat Jaume I(UJI), Prof.Dr.Ana Cristina Costa, Universidade NOVA de Lisboa, and Prof.Dr.Pablo Juan Verdoy, Universitat Jaume I(UJI) for their immense support, outstanding guidance, encouragement and helpful comments throughout my thesis work. Finally, but not least, I would like to thank my lovely wife, Workababa Bekele, and beloved daughter Loise Berhanu and son Nethan Berhanu for their patience, inspiration, and understanding during the entire period of my study. -
Dairy Value Chain in West Amhara (Bahir Dar Zuria and Fogera Woreda Case)
Dairy Value Chain in West Amhara (Bahir Dar Zuria and Fogera Woreda case) Paulos Desalegn Commissioned by Programme for Agro-Business Induced Growth in the Amhara National Regional State August, 2018 Bahir Dar, Ethiopia 0 | Page List of Abbreviations and Acronyms AACCSA - Addis Ababa Chamber of Commerce and Sectorial Association AGP - Agriculture Growth Program AgroBIG – Agro-Business Induced Growth program AI - Artificial Insemination BZW - Bahir Dar Zuria Woreda CAADP - Comprehensive Africa Agriculture Development Program CIF - Cost, Insurance and Freight CSA - Central Statistics Agency ETB - Ethiopian Birr EU - European Union FAO - Food and Agriculture Organization of the United Nations FEED - Feed Enhancement for Ethiopian Development FGD - Focal Group Discussion FSP - Food Security Program FTC - Farmers Training Center GTP II - Second Growth and Transformation Plan KI - Key Informants KM (km) - Kilo Meter LIVES - Livestock and Irrigation Value chains for Ethiopian Smallholders LMD - Livestock Market Development LMP - Livestock Master Plan Ltr (ltr) - Liter PIF - Policy and Investment Framework USD - United States Dollar 1 | Page Table of Contents List of Abbreviations and Acronyms .................................................................................... 1 Executive summary ....................................................................................................... 3 List of Tables ............................................................................................................... 4 List of Figures -
Addis Ababa University College of Development Studies Tourism Development and Managment Programme
ADDIS ABABA UNIVERSITY COLLEGE OF DEVELOPMENT STUDIES TOURISM DEVELOPMENT AND MANAGMENT PROGRAMME Assess Tourism Resources and Its Development Challenges in Sekela Wereda, West Gojjam, Amhara National Regional State, Ethiopia Submitted by: Mekuanent Ayalew Kassa A Thesis Submitted to the College of Development Studies of Addis Ababa University in Partial Fulfillment of the Requirements for the Degree of Master of Arts in Tourism Development and Management Addis Ababa University Addis Ababa, Ethiopia June, 2019 1 ADDIS ABABA UNIVERSITY COLLEGE OF DEVELOPMENT STUDIES TOURISM DEVELOPMENT AND MANAGMENT PROGRAMME Assess Tourism Resources and Its Development Challenges in Sekela Wereda, West Gojjam, Amhara National Regional State, Ethiopia Submitted by: Mekuanent Ayalew Kassa A Thesis Submitted to the College of Development Studies of Addis Ababa University in Partial Fulfillment of the Requirements for the Degree of Master of Arts in Tourism Development and Management Addis Ababa University Addis Ababa, Ethiopia June, 2019 2 ADDIS ABABA UNIVERSITY COLLEGE OF DEVELOPMENT STUDIES TOURISM DEVELOPMENT AND MANAGMENT PROGRAMME This is to certify that the thesis prepared by Mekuanent Ayalew Kassa, entitled: "Assess Tourism Resources and Its Development Opportunities and Challenges in Sekela Wereda". In partial fulfillment of the requirements for the Degree of Master of Art in Tourism Development and Management complies with the regulations of the University and meets the accepted standards with respect to originality and quality. Signed by Examining -
Debre Markos-Gondar Road
The Federal Democratic Republic of Ethiopia Ethiopian Roads Authority , / International Development Association # I VoL.5 ENVIRONMENTAL IMPACT ANALYSIS OF THE FIVE Public Disclosure Authorized ROADS SELECTED FOR REHABILITATION AND/OR UPGRADING DEBRE MARKOS-GONDAR ROAD # J + & .~~~~~~~~i-.. v<,,. A.. Public Disclosure Authorized -r~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -':. a _- ..: r. -. * .. _, f_ £ *.. "''" Public Disclosure Authorized Final Report October 1997 [rJ PLANCENTERLTD Public Disclosure Authorized FYi Opastinsilta6, FIN-00520HELSINKI, FINLAND * LJ Phone+358 9 15641, Fax+358 9 145 150 EA Report for the Debre Markos-Gondar Road Final Report TABLE OF CONTENTS TABLE OF CONTENTS ........................... i ABBREVIATIONS AND ACRONYMS ........................... iv GENERALMAP OF THE AREA ........................... v EXECUTIVE SUMMARY ........................... vi I. INTRODUCTION 1 1.1 Background 1 1.2 Location of the StudyArea. 1 1.3 Objectiveof the Study. 1 1.4 Approachand Methodologyof the Study. 2 1.5 Contentsof the Report. 3 2. POLICY,LEGAL AND INSTITUTIONALFRAMEWORK ....... 4 2.1 Policy Framework..Framewor 4 2.2 Legal Framework..Framewor 6 2.3 InstitutionalFramework. .Framewor 8 2.4 Resettlement and Compensation .12 2.5 Public Consultation 15 3. DESCRIPTIONOF THE PROPOSEDROAD PROJECT........... 16 4. BASELINEDATA ............. ........................... 18 4.1 Descriptionof the Road.18 4.2 Physical Environment nvironmt. 20 4.2.1 Climate and hydrology ................. 20 4.2.2 Physiography ............ ....... 21 4.2.3 Topography and hydrography ............ 21 4.2.4 Geology ....... ............ 21 4.2.5 Soils and geomorphology ................ 21 4.3 BiologicalEnvironment......................... 22 4.3.1 Land use and land cover .22 4.3.2 Flora .22 4.3.3 Fauna .22 4.4 Human and Social Environent .23 4.4.1 Characteristics of the population living by/alongthe road ..................... -
Smallholder Farmers Livestock Production on the Face of Climate Change in Bahir Dar, Zuria District, Northwestern Ethiopia
BIODIVERSITAS ISSN: 1412-033X Volume 19, Number 6, November 2018 E-ISSN: 2085-4722 Pages: 2329-2334 DOI: 10.13057/biodiv/d190642 Smallholder farmers livestock production on the face of climate change in Bahir Dar, Zuria District, Northwestern Ethiopia BIMREW ASMARE, FENTAHUN MEHERET Department of Animal Production and Technology, College of Agriculture and Environmental Science, Bahir Dar University. P.O Box. 5501, Bahir Dar, Ethiopia. email: [email protected] Manuscript received: 10 October 2018. Revision accepted: 17 November 2018. Abstract. Asmare B, Meheret F. 2018. Smallholder farmers livestock production on the face of climate change in Bahir Dar, Zuria District, Northwestern Ethiopia. Biodiversitas 19: 2329-2334. The objective of the study was to assess the livestock production and marketing system in smallholder systems of the area Bahir Dar Zuria district. Three kebeles were selected from Bahir Dar Zuria district based on livestock production experience and accessibility to the road. A total of 90 respondent farmers were used to conduct the assessment, and 4 key informants in each Kebele were used to get additional information. Primary data were collected using a semi- structured questionnaire and supplemented with key informants and secondary data sources. Descriptive statistics such as frequency (%) and mean were employed to present the qualitative variables obtained from the survey. The average land holding in the area was 0.73 ha of total land with 0.53 ha cropland and 0.2 ha private grazing land. With regard to labor allocation for livestock, family labor was involved in 91.18% of respondents while in the rest hired labor herded, fed, and watered livestock. -
D.Table 9.5-1 Number of PCO Planned 1
D.Table 9.5-1 Number of PCO Planned 1. Tigrey No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Adwa 13 Per Filed Survey by ETC 2(*) Hawzen 12 3(*) Wukro 7 Per Feasibility Study 4(*) Samre 13 Per Filed Survey by ETC 5 Alamata 10 Total 55 1 Tahtay Adiyabo 8 2 Medebay Zana 10 3 Laelay Mayechew 10 4 Kola Temben 11 5 Abergele 7 Per Filed Survey by ETC 6 Ganta Afeshum 15 7 Atsbi Wenberta 9 8 Enderta 14 9(*) Hintalo Wajirat 16 10 Ofla 15 Total 115 1 Kafta Humer 5 2 Laelay Adiyabo 8 3 Tahtay Koraro 8 4 Asegede Tsimbela 10 5 Tselemti 7 6(**) Welkait 7 7(**) Tsegede 6 8 Mereb Lehe 10 9(*) Enticho 21 10(**) Werie Lehe 16 Per Filed Survey by ETC 11 Tahtay Maychew 8 12(*)(**) Naeder Adet 9 13 Degua temben 9 14 Gulomahda 11 15 Erob 10 16 Saesi Tsaedaemba 14 17 Alage 13 18 Endmehoni 9 19(**) Rayaazebo 12 20 Ahferom 15 Total 208 1/14 Tigrey D.Table 9.5-1 Number of PCO Planned 2. Affar No. Woredas Phase 1 Phase 2 Phase 3 Expected Connecting Point 1 Ayisaita 3 2 Dubti 5 Per Filed Survey by ETC 3 Chifra 2 Total 10 1(*) Mile 1 2(*) Elidar 1 3 Koneba 4 4 Berahle 4 Per Filed Survey by ETC 5 Amibara 5 6 Gewane 1 7 Ewa 1 8 Dewele 1 Total 18 1 Ere Bti 1 2 Abala 2 3 Megale 1 4 Dalul 4 5 Afdera 1 6 Awash Fentale 3 7 Dulecha 1 8 Bure Mudaytu 1 Per Filed Survey by ETC 9 Arboba Special Woreda 1 10 Aura 1 11 Teru 1 12 Yalo 1 13 Gulina 1 14 Telalak 1 15 Simurobi 1 Total 21 2/14 Affar D.Table 9.5-1 Number of PCO Planned 3. -
Ethiopia Administrative Map As of 2013
(as of 27 March 2013) ETHIOPIA:Administrative Map R E Legend E R I T R E A North D Western \( Erob \ Tahtay Laelay National Capital Mereb Ahferom Gulomekeda Adiyabo Adiyabo Leke Central Ganta S Dalul P Afeshum Saesie Tahtay Laelay Adwa E P Tahtay Tsaedaemba Regional Capital Kafta Maychew Maychew Koraro Humera Asgede Werei Eastern A Leke Hawzen Tsimbila Medebay Koneba Zana Kelete Berahle Western Atsbi International Boundary Welkait Awelallo Naeder Tigray Wenberta Tselemti Adet Kola Degua Tsegede Temben Mekele Temben P Zone 2 Undetermined Boundary Addi Tselemt Tanqua Afdera Abergele Enderta Arekay Ab Ala Tsegede Beyeda Mirab Armacho Debark Hintalo Abergele Saharti Erebti Regional Boundary Wejirat Tach Samre Megale Bidu Armacho Dabat Janamora Alaje Lay Sahla Zonal Boundary Armacho Wegera Southern Ziquala Metema Sekota Endamehoni Raya S U D A N North Wag Azebo Chilga Yalo Amhara East Ofla Teru Woreda Boundary Gonder West Belesa Himra Kurri Gonder Dehana Dembia Belesa Zuria Gaz Alamata Zone 4 Quara Gibla Elidar Takusa I Libo Ebenat Gulina Lake Kemkem Bugna Kobo Awra Afar T Lake Tana Lasta Gidan (Ayna) Zone 1 0 50 100 200 km Alfa Ewa U Fogera North Farta Lay Semera ¹ Meket Guba Lafto Semen Gayint Wollo P O Dubti Jawi Achefer Bahir Dar East Tach Wadla Habru Chifra B G U L F O F A D E N Delanta Aysaita Creation date:27 Mar.2013 P Dera Esite Gayint I Debub Bahirdar Ambasel Dawunt Worebabu Map Doc Name:21_ADM_000_ETH_032713_A0 Achefer Zuria West Thehulederie J Dangura Simada Tenta Sources:CSA (2007 population census purpose) and Field Pawe Mecha -
Of Maize Markets in Case of Alefa District Northwestern Ethiopia
Journal of Marketing and Consumer Research www.iiste.org ISSN 2422-8451 An International Peer-reviewed Journal Vol.70, 2020 Analyze Structure, Conduct, and Performance (SCP) of Maize Markets in Case of Alefa District Northwestern Ethiopia Abera Ayalew 1* Fentahun Tesafa 2 Zewdu Berhanie 2 1.Department of Agricultural Economics, Woldia University, Woldia, Ethiopia 2.Department of Agricultural Economics, Bahir dar University, Bahir dar, Ethiopia Abstract This study examined the major market channels, and evaluate the market margins for key maize marketing channels in Alefa District, Central Gondar Zone of Amhara Regional State. Both primary and secondary data sources for the study were collected. Primary data were collected through personal interviews from a total of 198 producers and 34 traders. Descriptive statistics was employed to describe the socio-economic characteristics of farm households, and to analyze market related data collected from maize traders. The results show that wholesalers and rural assemblers are the most important buyers of maize from producers, accounting for 44 and 36.35% respectively. Market concentration ratio of 74.07% indicates that the maize market in the study area is characterized as oligopolistic. The result of the study also showed that, maize average production and yield were 18.03 quintals per household and 34.37 quintals per hectare, respectively. The major constraints for maize production and marketing of households in the study area include high price of fertilizers, timely availability of improved seeds, large number of unlicensed traders in the markets, climate change (occurrence of drought, pest/diseases), availability of credit access and non-transparent taxation system. -
Vegetable Market Chain Analysis in Mecha District, West Gojjam Zone, Amhara National Regional State
Archives of Current Research International 15(4): 1-12, 2018; Article no.ACRI.45840 ISSN: 2454-7077 Vegetable Market Chain Analysis in Mecha District, West Gojjam Zone, Amhara National Regional State Aemro Worku Ayalew1* 1Injibara University, Ethiopia. Author’s contribution The sole author designed, analysed, interpreted and prepared the manuscript. Article Information DOI: 10.9734/ACRI/2018/45840 Editor(s): (1) Dr. Faisal, Lecturer, Institute of Business Studies and leadership, Abdul Wali Khan University, Mardan, KP, Pakistan. Reviewers: (1) İsmail Ukav, Adiyaman University, Turkey. (2) Elżbieta Szczepankiewicz, Poznan University of Economics and Business, Poland. Complete Peer review History: http://www.sciencedomain.org/review-history/27886 Received 07 September 2018 Accepted 10 December 2018 Original Research Article Published 20 December 2018 ABSTRACT The study attempts to investigate the marketing channels of vegetables, to identify the actor who gets the major share of the marketing margins in vegetable marketing channels at the study area and to discover the major factors of market supply of vegetable in Mecha District. Descriptive and causal explanatory research design was employed with an aim of describing the market chain map of vegetables and stating the determinants of market supply of vegetables in Mecha District. The study was done at Department of Marketing Management, Aksum University between February 2018 and May 2018. The study included 120 farmers and 20 traders that involve in vegetable production and marketing activities. Producers, brokers, cooperatives, local collectors, wholesalers, retailers and consumers were found the main actors of the marketing channel in the study area. Six major channels for onion and five major channels for tomato were identified based on volume of the commodities transacted in the channels.