OCHA Feedback:[email protected]

Total Page:16

File Type:pdf, Size:1020Kb

OCHA Feedback:Ocha-Eth@Un.Org ETHIOPIA Access Snapshot - East and West Wellega (Oromia), Kamashi (Benishangul Gumuz) As of 28 February 2020 The humanitarian landscape in the Menge Bulen situation due to very limited access to aid. The ongoing sub-region remains heavily impacted security operation has blocked access to large areas, by standoff between security forces forcing partners to suspend operations, hibernate or and unidentified armed groups Metekel relocate staff. Since January, some 15,000 people, (UAGs). Clashes in West and Kelem Debati beneficiaries of partner’s projects, have been cut from Wellega has intensified since January. assistance. Only a few agencies have maintained presence OdaAsosa Bilidigilu Violence is impacting the civilian Ibantu but limited operations to areas along the Nekemte - population, with reports of arrests and an unconfirmed Sodal Assossa road. Reportedly, lack of assistance has forced number of people displaced to Gambela. The security IDPs/returnees resort in to negative coping mechanisms. Abay Yaso situation in East Wollega is calm, though tensions in some Bambasi Gida Kamashi Haro Ayana The situation in East Wellega remains permissive to boundary areas with Kamashi remain. operations. However, tensions between ethnic Oromo and Mana Sibu Agalometi Limu While humanitarian partners are not directly targeted by Kitu Kara Limu Gumuz remain along some boundary areas. An estimated the ongoing violence, the likelihood of suffering collateral East Wellega Horo15,000 Gudru people remain secondary displaced, including damage remains high. Since January, partners have Leta Sibu 10,000 in Haro Limu and 3,000 in Sasiga woreda. These Kamashi reported various incidents including intimidation and Nejo WellegaIDPs are not recognized as such by local authorities, West Wellega commandeering of vehicles by security forces, which put Gudetu hindering their access to aid. A recent assessment in Limu Belojiganfo Guto them at risk in light of the ongoing conflict dynamics with Kondole Babo Jarso Boji Dirme woreda, identified IDPs who have not returned to their Gida UAGs. former homes in boundary areas with BGR due to security Over 50,000 IDP returnees living in boundary areas Guliso Gimbi concerns. Physical access restrictions related to the poor Sasiga state of roads impact operations in rural areas Haro Limu between West Wellega and Kamashi are out-of-reach to Gawo Lalo Asabi aid partners intermittently. Since January, partner’s Ayira and Sasiga woredas. critical interventions under implementation on emergency Diga Operations in Kamashi zone are ongoing, but access to cash, health, nutrition, agriculture, shelter/ NFIs, protection, Kebe the zone is hampered by the security situation in West water and sanitation are temporarily suspended. Kelem Wellega Sayo Wollega. As alternative, partners have used the Assosa - Since early January, access to internet and mobile Oda Bidiglilu and Haro Limu - Yaso roads, both under Accessible areas Meko Jimma Arjo network services have been shut down in large parts of Yama Logi Welel Buno construction. According to zone government, out of the Nole Bedele 62,000 people displaced by conflict, some 23,000 thousand Western Oromia. As a result, partners are unable to Partially Accessible kebeles Dabo Hana returned from the Wellegas, plus some 29,000 within conduct surveillance of disease outbreaks or monitor Sayo DarimuIlu Aba Bora nutrition activities or assistance to displaced families. The Inaccessible kebeles Kamashi. Few partners are operational in the zone, and blackout has impacted the security of aid personnel, with some areas have not received any humanitarian or Total IDPs and IDPs/Returnees in IDPs/Returnees in HF/ VHF radio the only options to coordinate staff ZoneZone Total IDPs and IDPs/Returnees in recovery assistance. Returnees partially accessible inaccessible kebeles movements and monitor security developments. Further, Woreda Returnees inaccessible kebeles Many returnees in Kamashi have not yet returned to their kebeles partners have expressed concern on the shortage of Kamashi 56,000 - 6,000 habitual residence areas due to security concerns. communication equipment. At the end of February, two Kamashi 56,000 - 6,000 Partners struggle to locate them, as they are scattered and VSATs were installed in Nekemte, allowing partners’ West Wellega 54,000 23,000 31,000 often only show up to receive assistance. According to access to internet services in town. West Wellega 54,000 23,000 31,000 zonal authorities, 13 schools and 2 health posts damaged during 2018 violence are yet to be fully repaired, affecting The situation in West Wollega is precarious. An estimated East Wellega 101,000 13,000 - 18,000 people remain secondary displaced in a vulnerable East Wellega 101,000 13,000 - the population’s access to essential services such as health and education. Saba Boru 24,000 16,000 8,000 The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. Creation date: 06 March 2020 Sources: Zonal Disaster Risk Management Office, OCHA Feedback:[email protected] www.unocha.org www.reliefweb.int https://www.humanitarianresponse.info/en/operations/ethiopia/humanitarian-access.
Recommended publications
  • 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 --
    [Show full text]
  • Value Chain Analysis of Teff in East Wollega, Ethiopia
    www.jard.edu.pl http://dx.doi.org/10.17306/J.JARD.2021.01313 Journal of Agribusiness and Rural Development pISSN 1899-5241 1(59) 2021, 17–28 eISSN 1899-5772 Accepted for print: 3.12.2020 VALUE CHAIN ANALYSIS OF TEFF IN EAST WOLLEGA, ETHIOPIA Temesgen Kabeta1, Jema Haji2, Rijalu Negash3 1Gambella University, Ethiopia 2Haramaya University, Ethiopia 3Jimma University, Ethiopia Abstract. This study attempted to analyze the teff value chain INTRODUCTION in the Jimma Arjo District of East Wollega Zone, Western Ethiopia. The multistage sampling technique was employed A value chain is crucial in enforcing standards, with to draw a sample of 123 teff producers, purposively selected each actor ensuring that the product originating from the 55 traders and 15 consumers. Both quantitative and qualita- previous stage meets the criteria. According to Bekabil tive data were collected from primary and secondary sources using pre-tested structured questionnaires and checklists. De- et al. (2011), the teff value chain program helps to dou- scriptive statistics and Kendall’s coefficient of concordance ble teff production. It ensures that farmers have access were applied to analyze data. Results showed that the main to sufficient markets to capture the highest value for teff value chain actors in the study area included input sup- their product. It also increases incomes and reduces the pliers, producers, local collectors, wholesalers, retailers, and price paid by consumers within five years. consumers. In the district, there were no proper upgrading In Ethiopia, land used for teff production during the practices and governance systems in the teff value chain. The 2017 production year was estimated at 3.02 million hec- predicted probability that teff producers choose local collec- tares, and 50.2 million quintals were produced with the tors, wholesalers, retailers, and consumer outlets amounted productivity of 16.64 quintals per hectare of land.
    [Show full text]
  • Ethiopia: Administrative Map (August 2017)
    Ethiopia: Administrative map (August 2017) ERITREA National capital P Erob Tahtay Adiyabo Regional capital Gulomekeda Laelay Adiyabo Mereb Leke Ahferom Red Sea Humera Adigrat ! ! Dalul ! Adwa Ganta Afeshum Aksum Saesie Tsaedaemba Shire Indasilase ! Zonal Capital ! North West TigrayTahtay KoraroTahtay Maychew Eastern Tigray Kafta Humera Laelay Maychew Werei Leke TIGRAY Asgede Tsimbila Central Tigray Hawzen Medebay Zana Koneba Naeder Adet Berahile Region boundary Atsbi Wenberta Western Tigray Kelete Awelallo Welkait Kola Temben Tselemti Degua Temben Mekele Zone boundary Tanqua Abergele P Zone 2 (Kilbet Rasu) Tsegede Tselemt Mekele Town Special Enderta Afdera Addi Arekay South East Ab Ala Tsegede Mirab Armacho Beyeda Woreda boundary Debark Erebti SUDAN Hintalo Wejirat Saharti Samre Tach Armacho Abergele Sanja ! Dabat Janamora Megale Bidu Alaje Sahla Addis Ababa Ziquala Maychew ! Wegera Metema Lay Armacho Wag Himra Endamehoni Raya Azebo North Gondar Gonder ! Sekota Teru Afar Chilga Southern Tigray Gonder City Adm. Yalo East Belesa Ofla West Belesa Kurri Dehana Dembia Gonder Zuria Alamata Gaz Gibla Zone 4 (Fantana Rasu ) Elidar Amhara Gelegu Quara ! Takusa Ebenat Gulina Bugna Awra Libo Kemkem Kobo Gidan Lasta Benishangul Gumuz North Wello AFAR Alfa Zone 1(Awsi Rasu) Debre Tabor Ewa ! Fogera Farta Lay Gayint Semera Meket Guba Lafto DPubti DJIBOUTI Jawi South Gondar Dire Dawa Semen Achefer East Esite Chifra Bahir Dar Wadla Delanta Habru Asayita P Tach Gayint ! Bahir Dar City Adm. Aysaita Guba AMHARA Dera Ambasel Debub Achefer Bahirdar Zuria Dawunt Worebabu Gambela Dangura West Esite Gulf of Aden Mecha Adaa'r Mile Pawe Special Simada Thehulederie Kutaber Dangila Yilmana Densa Afambo Mekdela Tenta Awi Dessie Bati Hulet Ej Enese ! Hareri Sayint Dessie City Adm.
    [Show full text]
  • Operational Dashboard SMS East Wellega May 2019
    SITE MANAGEMENT SMS Operational Dashboard SUPPORT East Wellega (May 2019) Publication: 02 May 2019 DRAFT ETHIOPIA Overview Following the inter-communal conflict that erupted in late September 2018 around border areas of East and Operational presence of cluster partners (East Wellega) West Wollega Zones of Oromia Region and Kemashi Zone Benishangul-Gumz Region caused displacement of hundreds of thousands from both regions. As the situation remained tense and unsettled, IOM started Metekel life-saving interventions including SMS activities late January 2019. IOM SMS Programme is currently operate in 8 collective sites in East Wellega. The total number of IDPs reached by SMS is 12,256, with 2,097 household. Currently, SMS has deployed 8 staff on duty travel to support the IDP crisis in East Wellega Zone, coordinating with over 10 partners across the zone, both local and International NGOs, and UN agencies. Ibantu Key Figures Kiremu 12,256 2,097 8 8 Total Number of IDPs Total Number of IDPs Total Number of Collective Total Number of SMS Staff Supported by SMS deployed to support the Ops HH Supported by SMS Sites Supported by SMS Gida Ayana Horo Guduru Demographics Vulnerabilities Haro Limu 0% Unaccompanied children East Wellega 1 Male Female Haro Limu Limu (Oromia) 0% Orphaned children IOM, WFP, Gov’t, East Wellega 1 52% Individuals 48% 666 Guto Gida GOAL, ICRC, OCHA, 8% Pregnant and lactating Women IOM, Gov’t, WVI, 12% 0 - 5 years 11% IRC, SCI, FIDO, WVI. OCHA, FIDO, SCI 2% Elderly people 19% 6 -17 years 18% 20% 18-59 years 18% 0% People
    [Show full text]
  • Contraceptive Use and Family Size Preferences Among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia
    Research Reviews: Journal of Nursing and Health Sciences www.rroij.com Contraceptive Use and Family Size Preferences among Married Women of Reproductive Age in Jimma Arjo District of Eastern Wellega Zone in Oromia, Ethiopia Tadele Amente1*, Tariku Tesfaye1 and Mesfin Addise2 1Department of Nursing and Midwifery, College of Medical and Health Sciences, Wollega University, Nekemte, Oromia, Ethiopia 2School of Public Health, College of Medical and Health Science, Addis Ababa University, Addis Ababa, Ethiopia *For Correspondence: Amente T, Wollega University, Nekemte Town, Western Ethiopia, Tel: +251910119548; E-mail: [email protected] Received date: 03/11/2016; Accepted date: 15/02/2017; Published date: 23/02/2017 Copyright: © 2017 Amente T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Research Article ABSTRACT Background: Ethiopia is one of Sub-Saharan Africa countries in which high fertility (5.4 births per woman) is observed. Family planning programs have always been considered as the interventions of choice for slowing population growth and family size preference is useful in suggesting its demand. Objective: The objective of this study was to assess contraceptive use and family size preferences among currently married women of reproductive age in Jimma Arjo district. Methods: Community based cross sectional study design was conducted from January to February 2011. A total of five kebeles were selected by lottery method from 22 kebeles in Jimma Arjo district, Oromia, Ethiopia and a total of 475 married women were interviewed using systematic random sampling technique.
    [Show full text]
  • Benishangul-Gumuz Region
    Situation Analysis of Children and Women: Benishangul-Gumuz Region Situation Analysis of Children and Women: Benishangul-Gumuz Region ABSTRACT The Situation Analysis covers selected dimensions of child well-being in Benishangul-Gumuz Regional State. It builds on the national Situation Analysis of Children and Women in Ethiopia (2019) and on other existing research, with inputs from specialists in Government, UNICEF Ethiopia and other partners. It has an estimated population of approximately 1.1 million people, which constitutes 1.1% of the total Ethiopian population. The population is young: 13 per cent is under-five years of age and 44 per cent is under 18 years of age. Since 1999/00, Benishangul-Gumuz has experienced an impressive 28 percentage point decline in monetary poverty, but 27 per cent of the population are still poor; the second highest in the country after Tigray and higher than the national average of 24 per cent. SITUATION ANALYSIS OF CHILDREN AND WOMEN: BENISHANGUL-GUMUZ REGION 4 Food poverty continued a steep decline from 55 per cent in 1999/00 to 24 per cent in 2015/16; close to the national average of 25 per cent. In Benishangul-Gumuz, in 2014, only 1.1 per cent of rural households were in the PSNP compared to 11 per cent of households at the national level In 2011, the under-five mortality rate in Benishangul-Gumuz was the highest in Ethiopia (169 per 1,000 live births); this declined significantly, but is still very high: 96 deaths per 1,000 births, which is the second highest in the country after Afar.
    [Show full text]
  • 31052019 West & East Wellega & Kemashi Assosa (BGR
    ETHIOPIA East &West Wellega zone(Oromia Region)and Kamashi zone(BGR) IDP Returnees Snapshot As of 31 May 2019 Following the inter-communal conflict Awi that erupted in Kamashi zone (BGR) on West Gojam 26 September, 2018 there was massive displacement of people (majority being ± women and children) triggering protec- Metekel tion concerns. KEY FIGURES DISPLACEMENT Sherkole Kurmuk number of IDPs were living in collective 228,954 Sodal (36,320 HH) sites in East & West Wellega, 145, 685 IDPs were living in East Wellega and 83,269 IDPs 9,802 Homosha were living in West Wellega (Source: Menge DRMO) 14,473 Asosa Oda Bilidigilu 354 IDP Returnees Ibantu 26,710 Kiremu In East Wollega, 89,265 IDPs have returned to their place of origin Assosa in East Wellega zone along border areas of Oromia region. 26,985 Yaso 30,468 East Wellega Gida Ayana IDPs have returned to their place of origin in Yaso and Belo Jegan- 4,480 2,592 foy woredas of Kamashi Zone (BGR) from East Wellega Zone. Over- Bambasi Mendi Town Agalometi Haro Limu all,80% of the IDPs from East Wollega have returned to their place Mana Sibu of origin along the border of Oromia region and Kamashi zone Kiltu Kara 14,020 Limu (Oromia) Kemashi (BGR). 20% of the IDPs are living within the host community. Leta Sibu Nejo 12,744 5,986 In West Wollega, 50, 555 IDPs have returned to their place of origin 5,187 Maokomo Special West Wellega Nejo Town Kamashi in Oda Bildigilu Woreda of Assosa Zone and Sedal, Agelo Meti and 9,743 145,685 Indv.
    [Show full text]
  • Determinants of Smallholder Farmers Teff Market Supply, in Jimma Arjo District, Western Oromia Regional State, Ethiopia: a Two Stage Least Square Approach
    Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) DOI: 10.7176/JESD Vol.10, No.3, 2019 Determinants of Smallholder Farmers Teff Market Supply, in Jimma Arjo District, Western Oromia Regional State, Ethiopia: A Two Stage Least Square Approach Temesgen Kabeta Gambella University, Department of Agricultural economics, Gambella, Ethiopia. POBOX: 126, Gambella University, Gambella, Ethiopia Jema Haji Haramaya University, School of Agricultural economics and Agribusiness, Dire Dawa, Ethiopia. P.O.BOX: 116, Haramaya University, Dire Dawa , Ethiopia Rijalu Negash Jimma University, Department of Agricultural economics and Agribusiness, Jimma, Ethiopia. P.O.BOX:307, Jimma University, Ethiopia Abstract This study attempted to analyze teff value chain in Jimma Arjo district of Eastern Wollega zone with the objectives of analyzing the determinants volume of teff supplied to the market. Two stages random sampling technique was employed. First 3 kebeles were selected from 12 teff producers randomly and second 122 teff producers were selected randomly at 9% precision level. Primary data were collected from 122 farmers using structured and semi- structured questionnaire for both quantitative and qualitative datas. Descriptive statistics and 2SLS model were used to analyze the collected data. The result of 2SLS indicated that size of landholding, quantity of teff produced, credit service, and distance from the nearest market influenced amount of teff supplied to market at 5%, 1%, 10% and 5% significantly respectively. Recommendation drawn from the study findings include the need to improve the land productivity by utilizing land, increasing productivity of teff per acre of land by providing essential inputs, providing credit service for producers and constructing social infrastructure to solve the problem of distance from the market, strengthening the linkage/interaction among teff traders, training producers how to produce for surplus and strengthening supportive institutions.
    [Show full text]
  • Urban Water Supply Universal Access Plan.Pdf
    Federal Democratic Republic of Ethiopia Ministry of Water and Energy PART III Urban Water Supply Universal Access Plan (UWSPUAP) 2011-2015 December 2011 Addis Ababa 1 URBAN WATER SUPPLY UAP Table of Contents Executive Summary .............................................................................................................................................. 1 1. Introduction ................................................................................................................................................... 2 2. Background ................................................................................................................................................... 2 3. The Urban UAP model and Assumptions ..................................................................................................... 4 4. Sector policy and Strategy ............................................................................................................................. 7 5. Cross cutting Issues ..................................................................................................................................... 10 6. Physical Plan ............................................................................................................................................... 10 7. Financial Plan .............................................................................................................................................. 12 7.1. Financial plan for Project Implementation .........................................................................................
    [Show full text]
  • Prevalence of and Risk Factors For
    Ophthalmic Epidemiology ISSN: 0928-6586 (Print) 1744-5086 (Online) Journal homepage: https://www.tandfonline.com/loi/iope20 Prevalence of and Risk Factors for Trachoma in Oromia Regional State of Ethiopia: Results of 79 Population-Based Prevalence Surveys Conducted with the Global Trachoma Mapping Project Berhanu Bero, Colin Macleod, Wondu Alemayehu, Solomon Gadisa, Ahmed Abajobir, Yilikal Adamu, Menbere Alemu, Liknaw Adamu, Michael Dejene, Addis Mekasha, Zelalem Habtamu Jemal, Damtew Yadeta, Oumer Shafi, Genet Kiflu, Rebecca Willis, Rebecca M. Flueckiger, Brian K. Chu, Alexandre L. Pavluck, Anthony W. Solomon & for the Global Trachoma Mapping Project To cite this article: Berhanu Bero, Colin Macleod, Wondu Alemayehu, Solomon Gadisa, Ahmed Abajobir, Yilikal Adamu, Menbere Alemu, Liknaw Adamu, Michael Dejene, Addis Mekasha, Zelalem Habtamu Jemal, Damtew Yadeta, Oumer Shafi, Genet Kiflu, Rebecca Willis, Rebecca M. Flueckiger, Brian K. Chu, Alexandre L. Pavluck, Anthony W. Solomon & for the Global Trachoma Mapping Project (2016) Prevalence of and Risk Factors for Trachoma in Oromia Regional State of Ethiopia: Results of 79 Population-Based Prevalence Surveys Conducted with the Global Trachoma Mapping Project, Ophthalmic Epidemiology, 23:6, 392-405, DOI: 10.1080/09286586.2016.1243717 To link to this article: https://doi.org/10.1080/09286586.2016.1243717 © 2016 The Authors. Published with license Published online: 07 Nov 2016. by Taylor & Francis Submit your article to this journal Article views: 2068 View Crossmark data Citing articles: 19
    [Show full text]
  • Prioritization of Shelter/NFI Needs End of September 2017
    Prioritization of shelter/NFI needs End of September 2017 Life-saving nature of shelter/NFI assistance Shelter is a basic human need and a critical determinant for survival and coping in the majority of crises. Beyond survival, shelter and core relief items are necessary to provide security and ensure personal safety and protection, and to promote resistance to ill-health and disease. ` Response activities As of 30 September 2017: 60,492 full emergency shelter & NFI kits distributed to displaced households in 6 regions, additionally to cash grants and vouchers to 982 households. 900 supplementary kits presently being distributed or already funded and procured for distributions. 22,600 kits in stock & pipe-line. TOTAL = 84,974 full kits or equivalent in cash and vouchers Outstanding needs The DTM round 6 figures collected in 7 regions, the 2017 Belg assessments conducted in 4 regions, requests received from the authorities notably for the needs induced by the conflict along the border between Oromia and Somali regions, the needs induced by the 2017 kiremt season as shared by the flood task force and assessments conducted by cluster members revealed that the total of households in need of shelter/NFI assistance is 231,240 HHs. Prioritization criteria As agreed upon among cluster members on 31 of August 2017, Shelter/NFI assistance for people who are currently in need of assistance will primarily be directed to: Newly displaced in 2017, IDPs who have not had access to shelter/NFI assistance, durable solutions or coping mechanisms and
    [Show full text]
  • East Wollega Zone That Has 21 Farmers Mean Annual Rainfall of 1,600 Mm to 2,000 Associations and 1 Urban Center Possessing a Mm (GGDFEDO, 2011)
    Ethiopian Journal of Environmental Studies & Management 7 Suppl.: 832 – 839, 2014. ISSN:1998-0507 doi: http://dx.doi.org/10.4314/ejesm.v7i2.3S Submitted: September 17, 2014 Accepted: November 17, 2014 FARMERS’ PERCEPTION AND ADAPTATION TO CLIMATE CHANGE: HECKMAN’S TWO STAGE SAMPLE SELECTION MODEL *URGESSA TILAHUN 1 AND AMSALU BEDEMO 2 1Haro Sabu Agricultural Research Center, P.O.Box 10, Dale Sadi, Kellem Wollega, Ethiopia 2 Assosa University, P.O.Box 018, Asossa, Ethiopia Abstract This study examines farmers’ perception and adaptation to climate change in Guto Gidda and Sasigga districts of Oromia Regional National State in Ethiopia. Primary data for the study were collected from 142 farm household heads drawn from five kebeles of Sasiga district and four kebeles of Guto Gida district through structured questionnaire. Heckman two stage sample selection model was employed to examine farmers’ perception and adaptation strategies to climate change. Estimation result shows that farmers level of education (p=0.040), household nonfarm income (p=0.030), livestock ownership (0.001), extension on crop and livestock (p=0.000), household’s credit accessibility (p=0.001), perception of increase in temperature (p=0.000) and perception of decrease in precipitation (p=0.000) significantly affect the adaptation to climate change. Similarly, farmers’ perception of climate change was affected significantly by information on climate (p=0.000), farmer to farmer extension (p=0.009), local agro \–ecology (p=0.002), number of relatives in development group (p=0.015) and perception of change in duration of season (p=0.002). Key Words: Climate Change, East Wollega, Western Ethiopia Introduction steep slopes and erodible soils, low Ethiopia, one of the developing countries, vegetation cover of the soil, burning of dung is facing serious natural resource degradation and crop residues, declining fallow periods, problems (Anemut, 2006).
    [Show full text]