DOCSLIB.ORG

Oromia, Ethiopia Round 16

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Oromia, Ethiopia Round 16 DISPLACEMENT TRACKING MATRIX (DTM) OROMIA, ETHIOPIA ROUND 16: March/April 2019 Summary of Key Findings DATE OF PUBLICATION: June 2019 DISPLACEMENT TRACKING MATRIX (DTM) OROMIA, ETHIOPIA ROUND 16: MARCH/APRIL 2019 AMHARA BENSHANGUL GUMZ Hidabu Abote East Wellega Kuyu AFAR Kombolcha Horo Guduru North Shewa (R4) Chinaksen ETHIOPIA HaroD.D MayaJarso West Wellega Goro Gutu MetaKersa OVERVIEW OF DISPLACEMENT Jeldu Doba HARARIGursum Sasiga Mieso TuloDeder Ambo Zuria Oromia region Chiro ZuriaMeselaBedeno Fedis SOUTH SUDAN Dale Sadi Diga Dendi Fentale Girawa Chwaka West Shewa Gemechis Malka Balo DTM Round 16 Kelem Wellega East HarergeBabile Meko HabroWest Harerge Midega Tola Anfilo Wenchi S.W Shewa E. Shewa Aseko MARCH 2019 Mer� Meyu Buno Bedele Waliso Daro Lebu Golo Oda Legend: Jeju Ilubabor Chora Gololcha Arsi Sites by causes of displacement Dedesa Diksis Arsi Hawi Gudina E Conflict Sigmo Jimma Hitosa Sude Amigna Lege Hida Climate induced Kersa Tena Degeluna Tijo Bele Gesgar ! Others GAMBELLA Munessa Shebe Sambo Shirka Robe Gololcha Bale Shalla IDPs in assessed woredas Agarfa Gasera Seweyna 197 - 1,000 Boundaries Siraro Gedeb Asasa Sinana Ginir Bale 1,001 - 10,000 Kofele Interna�onal Boundary Dodola Adaba Goba 10,000 - 70,000 Rayitu Regional Boundary 70,000 - 175,476 West Arsi Berbere Zonal Boundary Covered by RRA SOMALI Woreda Boundary SNNPR Abaya No IDPs Gura Damole Gedeo Mena Not assessed Girja Site Assessment: 852,573 IDPs Gelana Uraga Adola ‘Site Assessment: 852,573 IDPs’ RRA‘+ RRA 6 Gedeo 6 Gedeo and West and WestGuji: 690,364Guji: 690,364 IDPs IDPs’ Wadera West Guji Meda Welabu ‘+RRA RRA 2 East 2 East and and West West Wellega: Wellega: 158,385 158,385 IDPs IDPs’ SOUTH Suro Barguda Guji Total number of IDPs: 1,701,322 Goro Dola Total number of IDPs: 1,701,322 SUDAN Saba Boru Melka Soda Sources : IOM Map production date : 06 May 2019. This map is for illustration purposes only. Names and boundaries on this map do not imply Liben official endorsement or acceptance by IOM. Map Data Source: Boundary shapefile - CSA 2008 Yabelo www.displacement.iom.int/ethiopia, [email protected] Teltele Eritrea Red Yemen Arero TIGRAY Sea Sudan Borena Gulf of AFAR Djibouti Aden Dire Dehas BENISHANGULAMHARA GUMUZ Dillo DIRE DAWA SOMALIA HARERI Miyo Moyale GAMBELA OROMIA SOMALI SNNPR S.Sudan Somalia KENYA KM ± 0 37.5 75 150 Note: The newly created zones and woredas boundaries in this regions are not available in our Geodatabase; hence their boundaries are combined with their mother zones and woredas. Kenya * For a more comprehensive overview of displacement figures in East and West Wellega, as well as Gedeo and West Guji, kindly refer to DTM’s Rapid Response Assessment (RRA) reports. ** Woredas in the map above that show displacement figures in East and West Wellega, as well as Gedeo and West Guji are cases of protracted displacement and thus differ from the IDPs tracked through the RRA. These woredas incldue Sasiga, Diga, Gelana, Suro Barguda and Melka Soda. OROMIA REGION - KEY FINDINGS HEALTH: Pneumonia was the primary health Figure 1 illustrates trends in stock totals of concern in this round of data collection with 136 displacement in the region over time compared to LOCATION AND CAUSE OF DISPLACEMENT: sites reporting this. recent displacement. 852,573 displaced individuals comprising 144,316 800000 households in 463 displacement sites were EDUCATION: In 49% of sites, 50% or less of the 700000 identified in Oromia region. These figures represent children on site are attending formal primary school. 600000 an decrease of 6,717 individuals (-0.78%), an Formal primary school education is available at 401 increase of 414 households (0.29%), and since sites. Alternative basic education (ABE) is available 500000 round 15 (January/February 2019), an increment at 29 sites. 400000 of 9 sites (1.91%). 16.2% sites opened during 2018 300000 and 1% opened in 2019. Conflict was the primary 57% of sites reported that COMMUNICATION: 200000 cause of displacement for an estimated 79% of the site management were IDPs’ primary source of displaced population. information followed by local leaders at 17%of sites. 100000 0 Before 2018 During 2018 In 2019 DEMOGRAPHICS: 51% of displaced individuals Figure 2 shows IDP numbers dissagregated by cause were female and 49% were male. 58% were Figure 1: Trends in stock totals of displacement and new over time. displacements before 2018, during 2018 and 2019 younger than 18 years old. 4% were over 60 years old. 1,400,000 1,200,000 SHELTER: 178 sites reported that over 25% of 1,000,000 households were living in shelters that were below regional and cultural standards. 800,000 600,000 Conflict Induced Climate Induced WASH: 18 sites meet SPHERE standards of access 400,000 Other to over 15 liters of water per person per day. 173 200,000 Grand Total - displacement sites (37%) reported having no Round 3 Round 4 Round 5 Round 6 Round 7 Round 8 Round 9 Round 10 Round 11 Round 12 Round 13 Round 14 Round 15 Round 16 latrines. Conflict Induced 60,767 163,874 252,517 226,596 358,932 561,346 653,215 576,680 631,169 445,667 705,332 986,458 694,697 674,209 Climate Induced 139,910 99,407 70,749 102,069 108,541 127,172 97,798 99,020 115,996 77,062 135,221 103,440 114,935 111,102 FOOD, NUTRITION AND LIVELIHOODS: 33 sites Other 4,570 16,586 44,291 94,741 62,237 83,724 26,652 45,607 29,882 17,403 66,972 55,950 49,658 67,262 Grand Total 205,247 279,867 367,557 423,406 529,710 772,242 777,665 721,307 777,047 540,132 907,525 1,145,848 859,290 852,573 (7%), representing 69,252 individuals, reported no access to food. 83% of sites reported that IDPs did Figure 2: IDPs by cause of displacement by round not have access to income generating activities. MOBILITY TRENDS AND CAUSE OF DISPLACEMENT Conflict has consistently been reported as the primary cause of displacement in the region (as indicated by figure 4). IDPs displaced in 2019, during 2018 and before 2018 reported being displaced by conflict. In addition to this, 144,386 IDPs (17%) reported being displaced previously. Furthermore, IDPs from 16 sites were leaving the current place of displacement. Of these, IDPs from 2 sites were going to the nearest village and IDPs from 14 sites intended to return to their place of origin. Regarding the duration of sites: 1% of all sites identified opened in 2019 while 16.20% opened in 2018. 82.9% of sites opened before 2018. Figure 3: IDPs displaced by zone and cause of displacement The majority of IDPs identified in the region were Duration Conflict Climate Induced Other Grand Total displaced to locations near their areas of origin. 63% of IDPs in the region are internally displaced from Before 2018 554,306 101,757 50,414 706,477 the region, within the region. Of the IDPs displaced within the region, 51% were displaced within their During 2018 112,930 7,992 16,848 137,770 zone of origin. In 2019 6,973 1,353 0 8,326 Figure 3 shows the number of IDPs displaced by zone and cause of displacement. Figure 4 shows the Grand Total 674,209 111,102 67,262 852,573 distribution of IDPs by driver of displacement and Figure 4: Distribution of IDPs by cause of displacement and time of displacement time of displacement. DURABLE SOLUTIONS, VULNERABILITIES AND The demographic breakdown is shown in figure 7. Vulnerable Population Number of IDPs DEMOGRAPHICS Individuals with specific vulnerabilities were also reported at displacement sites and are represented Number of breastfeeding mothers 26,700 In 54.86% of the sites, IDPs foresaw a resolution to in figure 8. Elderly headed households 6,270 their displacement, while IDPs at 45.14% of sites did not. Elderly persons without care givers 4,293 At 38.88% of sites, IDPs prefer local integration as Number of members of ethnic a durable solution to their displacement while at minorities 282 23.97% sites they prefer return. Number of members of religious minorities 863 Figure 5 shows the number of sites by obstacles to Orphaned children 1,181 return, while figure 6 shows support IDPs need to Persons with chronic diseases/ return or locally integrate. serious medical conditions 708 Figure 6: Number of sites by support needed to return or Number of persons with disabilities locally integrate over 18 1,062 Number of persons with disabilities Livelihood 263 under 18 538 Number of pregnant girls under 18 207 Safety & Security 232 Number of pregnant women over Access to services 224 18 13,474 Livestock/Restocking 201 Separated children 283 Single-female headed households 8,434 Land/Resources 233 Single-male headed households 2,215 ID/Documentation 93 0 50 100 150 200 250 300 Unaccompanied children 168 Single-child headed households 27 Figure 5: Number of sites by obstacles to return Figure 7: Demographic breakdown Grand Total 66,705 Figure 8: Vulnerable populations INCREASE NEW DECREASE UNCOVERED/CLOSED NO CHANGE Round 15-16 Comparison Table Round 16 % change in Round 15 Zone Woreda Displacement Reason estimated number of HHs Individuals Sites households HHs Individuals Sites Arsi Amigna Conflict 41 131 1 0.0% 41 129 1 Arsi Aseko Conflict 22 70 1 0.0% 22 67 1 Arsi Bele Gesgar Conflict 30 103 1 0.0% 30 103 1 Arsi Degeluna Tijo Conflict 39 122 1 0.0% 39 120 1 Arsi Diksis Conflict 21 54 1 0.0% 21 54 1 Arsi Gololcha Arsi Climate Induced 511 3,053 6 0.0% 511 2,701 6 Arsi Gololcha Arsi Conflict 31 97 1 0.0% 31 97 1 Arsi Hitosa Conflict 25 74 1 0.0% 25 74 1 Arsi Jeju Conflict 25 60 1 0.0% 25 60 1 Arsi Merti Conflict 24 117 1 -7.69% 26 114 1 Arsi Munessa Conflict 20 40 1 0.0% 20 42 1 Arsi Robe Conflict 132 362 3 0.0% 132 359 3 Arsi Shirka Conflict
Load more

Recommended publications
  • Ethiopia: 2015 HRF Projects Map (As of 31 December 2015)
    Ethiopia: 2015 HRF projects map (as of 31 December 2015) Countrywide intervention ERITREA Legend UNICEF - Nutrition - $999,753 Concern☃ - VSF-G ☈ ! Refugee camp WFP - Nutrition (CSB) - $1.5m National capital Shimelba Red Sea SUDAN Regional intervention International boundary Hitsa!ts Dalul UNICEF - Health - $1.0m ! !Hitsats ! ! Undetermined boundary ! ! SCI Tigray, Afar, Amhara, Oromia, Kelete Berahile ☃☉ May-Ayni Kola ! Somali, Gambella, SNPR & NRC - ☉ Ts!elemti Temben Awelallo Lake IRC - ★ ! ☄ ! ♫ Tanqua ! SUDAN ! ! ! Dire Dawa Adi Harush ! Enderta Abergele ! Ab Ala Afdera Project woredas Tselemt ! NRC - Debark GAA - ☇ ! WFP (UNHAS) - Coordination ☈ Abergele! Erebti ☋☉ Plan Int. - ACF - ☃ Dabat Sahla ☃Megale Bidu and Support Service - $740,703 Janamora Wegera! Clusters/Activities ! Ziquala Somali region Sekota ! ! Concern - SCI Teru ! Agriculture CRS - Agriculture/Seed - $2,5m ☃ ☃ Kurri ! Dehana ! ☋ ! Gaz Alamata ! Elidar GAA - ☋ Amhara,Ormia and SNNP regions ! ☃☉ Gonder Zuria Gibla ! Gulf of ! Education Plan Int. - Ebenat Kobo SCI☃☉ ☃ ! Gidan ☄ Lasta ! Aden CARE - Lay Guba ! Ewa ! ☃ ! Meket Lafto Gayint ! Food security & livelihood WV - ☃ Dubti ☈ ☉ ! Tach Habru Chifra SCI - ☃ Delanta ! ! - Tigray Region, Eastern Zone, Kelete Awelall, ! Gayint IMC - ☃ Health ☉ Simada Southern Zone, Alamata and Enderta woredas ! ! Mile DJIBOUTI ☊ Mekdela ! Bati Enbise SCI- Nutrition ! Argoba ☃☉ WV - ☃ Sar Midir Legambo ☃ ! Oxfam GB - Enarj ! ☉ ! ! Ayisha Non Food Items - Amhara region, North Gonder (Gonder Zuria), Enawga ! Antsokiya Dalfagi ! ! ! Concern
    [Show full text]
  • Assessment of Communal Irrigation Scheme Management System, in the Case of Agarfa Woreda, Bale Zone, Oromia Regional State, Ethiopia
    International Journal of Scientific and Research Publications, Volume 8, Issue 5, May 2018 392 ISSN 2250-3153 Assessment of Communal Irrigation Scheme Management System, In the case of Agarfa Woreda, Bale Zone, Oromia Regional State, Ethiopia Abdissa Abe Neme (M.Sc) Madda Walabu University, Department of Rural Development and Agricultural Extension, Bale Robe, 247, Ethiopia DOI: 10.29322/IJSRP.8.5.2018.p7750 http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7750 Abstract- The study was conducted in Agarfa district, Oromia been practice for long at different farm levels, there is no regional state Ethiopia. A total of 120 farmers were selected in efficient and well-managed irrigation water practice (Mihret and the study area. The x^2and t-test were used to analyse the Ermias , 2014) However, the loss of excessive water (amount of independent dummy and continuous variables respectively. water for irrigation use), lack of awareness of water users, Generally, farmers have showed favorable response in absences of the trial site in locality for irrigation utilization and participating in the community managed irrigation scheme lack of new technology utilization are the great constraints which utilization and management system. Binary logit model was hinder the improvement of rural farmer’s households to increase applied to analyse the factors affecting farmers' participation in income generation and food security (FAO, 2005). communal irrigation management system. The findings of this In order to attain sustainable agricultural production from study indicate that any effort in promoting communal irrigation irrigation, it is important to managed and utilize the resources scheme management system should recognize the socio- like land , water and others in good manner.
    [Show full text]
  • Hum Ethio Manitar Opia Rian Re Espons E Fund D
    Hum anitarian Response Fund Ethiopia OCHA, 2011 OCHA, 2011 Annual Report 2011 Office for the Coordination of Humanitarian Affairs Humanitarian Response Fund – Ethiopia Annual Report 2011 Table of Contents Note from the Humanitarian Coordinator ................................................................................................ 2 Acknowledgements ................................................................................................................................. 3 1. Executive Summary ............................................................................................................................ 4 1.1 2011 Humanitarian Context ........................................................................................................... 4 1.2 Map - 2011 HRF Supported Projects ............................................................................................. 6 2. Information on Contributors ................................................................................................................ 7 2.1 Donor Contributions to HRF .......................................................................................................... 7 3. Fund Overview .................................................................................................................................... 8 3.1 Summary of HRF Allocations in 2011 ............................................................................................ 8 3.1.1 HRF Allocation by Sector .......................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 73-84 Association of Arabica Coffee Quality Attributes with Selected So
    East African Journal of Sciences (2015) Volume 9 (2) 73-84 Association of Arabica Coffee Quality Attributes with Selected Soil Chemical Properties Adugnaw Mintesnot1*, Nigussie Dechassa2,and Ali Mohammed1 1Jimma University, Department of Horticulture, P. O. Box 307, Jimma, Ethiopia 2Haramaya University, Department of Plant Sciences, P. O. Box 138, Dire Dawa, Ethiopia Abstract: Coffee (Coffea arabica L.) bean quality attributes differ based on the origin of the produce. Several agro-ecological conditions influence coffee bean quality attributes. Soil chemical properties may be some of the factors affecting the quality attributes. However, no study has so far been conducted to elucidate the association of coffee bean qualities with soil chemical properties in both major and minor coffee growing regions of Ethiopia. Thus, this research was conducted with the objective of establishing association of chemical soil properties with coffee cup quality attributes. Coffee beans as well as soil samples from which the beans originated were subjected to chemical analysis. The coffee beans and the corresponding soil samples originated from large scale coffee plantations (Bebeka, Gemadro and Goma), districts from southwestern major coffee growing region (Gore, Jimma, Lemkefa), West (Gimbi), East (Badano, Chiro, Darolebu, Habro and Melkabelo), South (Yirgacheffe) and northwestern minor coffee growing districts (Ankasha, Bure, Mecha and Jabi). The soil samples were collected from the depth of 0 - 50 cm near the coffee trunks and samples of ripe coffee cherries were picked up from the trees during the 2010/11 harvest season. Selected chemical properties of the soil, namely, available potassium, cation exchange capacity, exchangeable acidity, exchangeable bases, available micronutrients, available phosphorus, total nitrogen, soil pH, electrical conductivity, and percent organic carbon were determined from 53 soil samples in Jimma University soil laboratory and Wolkitie Soil Testing and Soil Fertility Improvement Centre using the established procedures.
    [Show full text]
  • 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 ............................................................................................................................
    [Show full text]
  • Forest Conservation for Communities and Carbon: the Economics of Community Forest Management in The
    Forest conservation for communities and carbon: the economics of community forest management in the Bale Mountains Eco-Region, Ethiopia Charlene Watson May 2013 Thesis submitted in fulfilment of the degree of Doctor of Philosophy London School of Economics and Political Science 1 Declaration of work This thesis is the result of my own work except where specifically indicated in the text and acknowledgements. The copyright of this thesis rests with the author. Quotation from it is permitted, provided that full acknowledgement is made. This thesis may not be reproduced without my prior written consent. Photos are the authors own, as are the figures generated. I warrant that this authorisation does not, to the best of my belief, infringe the rights of any third party. May 2013 2 Abstract Forest conservation based on payments anchored to opportunity costs (OCs) is receiving increasing attention, including for international financial transfers for reduced emissions from deforestation and degradation (REDD+). REDD+ emerged as a payment for environmental service (PES) approach in which conditional payments are made for demonstrable greenhouse gas emission reductions against a business-as-usual baseline. Quantitative assessments of the OCs incurred by forest users of these reductions are lacking. Existing studies are coarse, obscure the heterogeneity of OCs and do not consider how OCs may change over time. An integrated assessment of OCs and carbon benefits under a proposed community forest management (CFM) intervention linked to REDD+ is undertaken in Ethiopia. The OCs of land for the intervention are estimated through household survey and market valuation. Scenarios explore how OCs are likely to change over the intervention given qualitative conservation goals and available land-use change information.
    [Show full text]
  • Policy Brief No.1
    December 2007 Bale Eco-Region Sustainable Oromia State Forest Management Programme (BERSMP) Enterprises Supervising Agency BERSMP Policy Brief No.1 The Significance of the Bale Mountains, South Central Ethiopia The Significance of the Bale Mountains, South Central Ethiopia Summary The Bale Mountians is among the 34 world biodiversity hotspots. It is one of the areas in Ethiopia where lack of proper natural resources management is threatening unique resources. The Bale Mountains cover areas ranging from 1500 – 4377masl. The area harbors different ecological zones including moist tropical forest, afroalpine habitats, woodlands, grasslands, wetlands and a large percentage of Ethiopia’s endemic plants and animals. The importance of the ecological processes of the area is significant both locally and globally. About 12 million people are estimated to be dependent on the water resources originating from the Bale Mountains. However, the rate of agricultural expansion and land degradation is highly threatening the economic and ecological potentials of this unique area. Government willingness to jointly manage natural resources with local communities, and the communities enthusiasm and capacity to work towards sustianable development are the opportunites the Bale Eco-Region Sustainable Management Programme is using to mutually enhance the unique biodiverstiy and vital ecological processes of the Bale Mountians Ecosystem. Introduction terms of fauna and flora in Ethiopia. The The wide variations of geo-climatic economic, biodiversity and ecological features in Ethiopia have resulted in large significance attached to this unique area is biological diversity. The country hosts the immense. The establishment of the Bale fifth largest floral diversity in tropical Mountains National Park more than 30 Africa, is the richest in avifauna in years ago and the delineation of a mainland Africa and one of the eight number of High Priority Forest Areas is a Vavilov’s centres of crop diversity clear demonstration of its importance.
    [Show full text]
  • Grain Market Research Project
    Grain Market Research Project PROMOTING FERTILIZER USE IN ETHIOPIA: THE IMPLICATIONS OF IMPROVING GRAIN MARKET PERFORMANCE, INPUT MARKET EFFICIENCY, AND FARM MANAGEMENT Mulat Demeke Ali Said T.S. Jayne WORKING PAPER 5 GRAIN MARKET RESEARCH PROJECT MINISTRY OF ECONOMIC DEVELOPMENT AND COOPERATION ADDIS ABABA MARCH 1997 PROMOTING FERTILIZER USE IN ETHIOPIA: THE IMPLICATIONS OF IMPROVING GRAIN MARKET PERFORMANCE, INPUT MARKET EFFICIENCY, AND FARM MANAGEMENT MULAT DEMEKE ALI SAID T.S. JAYNE MARCH 1997 This is a revised and expanded version of a paper presented at the Grain Market Research Project Discussion Forum, November 8-9, 1996, Sodere, Ethiopia, sponsored by the Ministry of Economic Development and Cooperation, Government of Ethiopia. Mulat Demeke is Lecturer, Addis Ababa University, Ali Said is Research Scholar, Ministry of Economic Development and Cooperation; and T.S. Jayne is Visiting Associate Professor, Michigan State University. The authors thank Aklu Girgre, Daniel Molla, Asres Workneh, Steven Franzel, Valerie Kelly, and Jim Shaffer for comments on a previous draft. TABLE OF CONTENTS 1. BACKGROUND ...................................................... 1 2. THE PROFITABILITY OF FERTILIZER USE .............................. 7 2.1. Factors Influencing Fertilizer Use .................................. 7 2.2. Measuring the Profitability of Fertilizer .............................. 7 (a) The value-cost ratio (VCR)................................ 8 (b) The reservation price of fertilizer........................... 10 3. THE EFFECTS OF IMPROVING FERTILIZER MARKET .................... 14 3.1. Implications for Fertilizer Prices .................................. 14 3.2. The Impact on Fertilizer Profitability ............................... 21 4. THE IMPLICATIONS OF IMPROVING THE OUTPUT MARKET.............. 23 5. IMPROVING THE YIELD RESPONSE TO FERTILIZERS.................... 26 5.1. Constraints to Improved Yield Response ............................ 26 5.2. The Implications of Improving Output Response ...................... 31 5.3.
    [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]
  • Prioritization of Shelter/NFI Needs
    Prioritization of Shelter/NFI needs Date: 31st May 2018 Shelter and NFI Needs As of 18 May 2018, the overall number of displaced people is 345,000 households. This figure is based on DTM round 10, partner’s assessments, government requests, as well as the total of HH supported since July 2017. The S/NFI updated its prioritisation in early May and SNFI Cluster partners agreed on several criteria to guide prioritisation which include: - 1) type of emergency, 2) duration of displacement, and 3) sub-standard shelter conditions including IDPS hosted in collective centres and open-air sites and 4) % of vulnerable HH at IDP sites. Thresholds for the criteria were also agreed and in the subsequent analysis the cluster identified 193 IDP hosting woredas mostly in Oromia and Somali regions, as well as Tigray, Gambella and Addis Ababa municipality. A total of 261,830 HH are in need of urgent shelter and NFI assistance. At present the Cluster has a total of 57,000 kits in stocks and pipeline. The Cluster requires urgent funding to address the needs of 204,830 HHs that are living in desperate displacement conditions across the country. This caseload is predicted to increase as the flooding continues in the coming months. Shelter and NFI Priority Activities In terms of priority activities, the SNFI Cluster is in need of ES/NFI support for 140,259 HH displaced mainly due to flood and conflict under Pillar 2, primarily in Oromia and Somali Regions. In addition, the Shelter and NFI Cluster requires immediate funding for recovery activities to support 14,000 HH (8,000 rebuild and 6,000 repair) with transitional shelter support and shelter repair activities under Pillar 3.
    [Show full text]
  • Vulnerability to HIV Infection Among the Borana Pastoral Community of Southern Ethiopia: a Persisting Challenge
    Journal name: HIV/AIDS - Research and Palliative Care Article Designation: Original Research Year: 2019 Volume: 11 HIV/AIDS - Research and Palliative Care Dovepress Running head verso: Serbessa Running head recto: Serbessa open access to scientific and medical research DOI: http://dx.doi.org/10.2147/HIV.S193035 Open Access Full Text Article ORIGINAL RESEARCH Vulnerability to HIV infection among the Borana pastoral community of Southern Ethiopia: a persisting challenge Mirgissa Kaba Serbessa Background: Vulnerability to HIV infection is a major concern in an effort to control further infections. What drives vulnerability among pastoral settings of Ethiopia is not well documented. Department of Preventive Medicine, School of Public Health, Addis Ababa Objectives: This study aims to identify drivers of vulnerability to HIV infection among the University, Addis Ababa, Ethiopia Borana pastoral community of Ethiopia. Methods: Data were collected during 2008–2009 as part of a PhD work and subsequently in 2014 and 2016, during a follow-up visit to Borana. Data on perceived threats of HIV, facilita- tors of vulnerability, coping mechanisms and perceived consequences were collected by trained research assistants using topic guides developed for this purpose. In-depth and key informant interviews and Focus Group Discussions (FGDs) with selected married men and women, opinion leaders, and HIV focal persons of public sectors and Non Governmental Organizations in Teltele, Arero, Yabelo and Moyale were carried out. Sample transcripts were checked for consistency and Video abstract completeness before data collection was completed. Two qualitative researchers read transcripts and suggested themes and subthemes in reference to the objective of the study. Transcripts were imported to MAXQDA software.
    [Show full text]