The Impacts of Microcredit: Evidence from Ethiopia†
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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 -- -
Tulu Kapi Nyota Min Ltd '09 Technical
- Key Features - Exploration - Introduction - Mineralisation - Project Description, General Infrastructure and - Distribution of Mineralistation Accessibility - Deposit Type - Topography, Climate and Vegetation - Sampling Method and Approach - Legal Aspects and Tenure - Sample Preparation, Analysis and Security - Environmental Requirements - Mineralogical Studies and Mineral Processing - Country History - Data Verification and QA/QC - Country Profile and Economy - Adjacent Properties and Competitor Companies - Mining Sector of the Economy - Modelling and Mineral Resource Estimation IN THIS DOCUMENT - Historical Exploration and Operations in the Tulu - Conclusions Investors Report on the Kapi Area - References Tulu Kapi Gold Project, Ethiopia - Regional Geological Setting th - Local Geology as at 30 September 2009 KEY FEATURES Compliance: Venmyn utilises a comprehensive checklist incorporating all internationally required compliance requirements, in particular the Canadian National Instrument 43-101 and SAMREC/SAMVAL Codes for public reporting of mineral assets. The information quoted in this Prospectivity Review has been scrutinised in terms of this checklist and prepared for investors according to the principles of open and transparent disclosure embodied in the underlying codes for mineral resources reporting. Qualified Persons: Mr.Andy Clay, M.Sc. (Geol), M.Sc. (Min. Eng.), Dip.Bus.M., Pr.Sci.Nat., MSAIMM, FAusIMM, FGSSA,AAPG, M.Inst.D. Mr. Neil Mc Kenna, M.Sc. (Geol), Pr.Sci.Nat., MSAIMM, MGSSA, MIASSA, M.Inst.D. Mr. Richard Tayelor, B.Sc. Hons (Geol). MGSSA. Effective Date: 30th September 2009. Prepared For: Nyota Minerals Limeted (Nyota), previously Dwyka Resources Limited (Dwyka). Purpose: Review of the prospectivity and technical merits of the Tulu Kapi Gold Project in Ethiopia. Sources of Information: Public domain information as listed in the reference list, Nyota, Dwyka and Minerva Resources PLC internal reports and, presentations and Hellman & Schofield (Pty) Ltd. -
The Impacts of Microcredit: Evidence from Bosnia and Herzegovina †
American Economic Journal: Applied Economics 2015, 7 1 : 183–203 http://dx.doi.org/10.1257/app.20130272 ( ) The Impacts of Microcredit: Evidence from Bosnia and Herzegovina † By Britta Augsburg, Ralph De Haas, Heike Harmgart, and Costas Meghir * We use an RCT to analyze the impacts of microcredit. The study pop- ulation consists of loan applicants who were marginally rejected by an MFI in Bosnia. A random subset of these were offered a loan. We provide evidence of higher self-employment, increases in inventory, a reduction in the incidence of wage work and an increase in the labor supply of 16–19-year-olds in the household’s business. We also pres- ent some evidence of increases in profits and a reduction in consump- tion and savings. There is no evidence that the program increased overall household income. JEL C93, G21, I38, J23, L25, P34, P36 ( ) substantial part of the world’s poor has limited, if any, access to formal sources A of credit. Instead, they depend on informal credit from expensive moneylenders or have to borrow from family and friends Collins et al. 2010 . Such credit rationing ( ) may constrain entrepreneurship and keep people trapped in poverty. Microfinance, pioneered by the Bangladeshi Grameen Bank, aimed to deal with this issue in a sustainable fashion. A key research and policy question is whether the availability of credit for the more disadvantaged can reduce poverty. We address this question by analyzing the results of an experiment where we ran- domly allocated loans at the individual level to a subset of applicants considered too ( ) risky and “unreliable” to be offered credit as regular borrowers of a well-established microfinance institution MFI in Bosnia and Herzegovina. -
Aalborg Universitet Restructuring State and Society Ethnic
Aalborg Universitet Restructuring State and Society Ethnic Federalism in Ethiopia Balcha, Berhanu Publication date: 2007 Document Version Publisher's PDF, also known as Version of record Link to publication from Aalborg University Citation for published version (APA): Balcha, B. (2007). Restructuring State and Society: Ethnic Federalism in Ethiopia. SPIRIT. Spirit PhD Series No. 8 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us at [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from vbn.aau.dk on: November 29, 2020 SPIRIT Doctoral Programme Aalborg University Kroghstraede 3-3.237 DK-9220 Aalborg East Phone: +45 9940 9810 Mail: [email protected] Restructuring State and Society: Ethnic Federalism in Ethiopia Berhanu Gutema Balcha SPIRIT PhD Series Thesis no. 8 ISSN: 1903-7783 © 2007 Berhanu Gutema Balcha Restructuring State and Society: Ethnic Federalism in Ethiopia SPIRIT – Doctoral Programme Aalborg University Denmark SPIRIT PhD Series Thesis no. -
Estimation of Elemental Concentrations of Ethiopia Coffee Arabica on Different Coffee Bean Varieties (Subspecies) Using Energy Dispersive X-Ray Florescence
International Journal of Scientific & Engineering Research Volume 9, Issue 4, April-2018 149 ISSN 2229-5518 Estimation of elemental concentrations of Ethiopia Coffee Arabica on different coffee bean Varieties (Subspecies) Using Energy Dispersive X-ray Florescence H. Masresha Feleke1*, Srinivasulu A1, K. Surendra1, B. Aruna1, Jaganmoy Biswas2, M. Sudershan2, A. D. P. Rao1, P. V. Lakshmi Narayana1 1. Dept. of Nuclear Physics, Andhra University, Visakhapatnam -530003, INDIA. 2. UGC-DAE Consortium for Scientific Research, Trace element lab, Salt Lake, Kolkata 700 098, India Abstract: Using Energy Dispersive X-ray Florescence (EDXRF) Elemental analysis, Coffee cherry of Arabica subspecies produced in crop years of 2015/2016 in nine different parts of coffee growing Area in Ethiopa were analyzed and has been found four major elements P, K, Ca, S and eight minor elements Mn, Fe, Cu, Zn, Se, Sr, Rb, Br from Twenty coffee Arabica subspecies. The Samples were washed; dried; Grinding with mortar and finally pelletized. EDXRF analysis were carried the energies of the X-rays emitted by the sample are measured using a Si- semiconductor detector and are processed by a pulse height analyzer. Computer analysis of this data yields an energy spectrum which defines the elemental composition of the sample. The system detection calibration and accuracy check was performed through different countries reported values and analysis of NIST certified reference materials SRM 1515 (Apple leaves). Most of coffee beans sample were found to be a good agreements towards NIST standards and different countries reported values. Meanwhile discussed the elemental concentration and their biological effects on human physiology. Keywords: Coffee Cherry,IJSER Subspecies coffee, Elemental Concentration and EDXRF 1. -
Examining the Economic Impacts of Climate Change on Net Crop Income in the Ethiopian Nile Basin: a Ricardian Fixed Effect Approach
sustainability Article Examining the Economic Impacts of Climate Change on Net Crop Income in the Ethiopian Nile Basin: A Ricardian Fixed Effect Approach Melese Mulu Baylie 1,2 and Csaba Fogarassy 3,* 1 Department of Economics, Debre Tabor University, Debra Tabor 272, Ethiopia; [email protected] 2 Department of Rural Development Engineering, Hungarian University of Agriculture and Life Sciences (Former Szent Istvan University), 2100 Gödöll˝o,Hungary 3 Institute of Sustainable Development and Farming, Hungarian University of Agriculture and Life Sciences (Former Szent Istvan University), 2100 Gödöll˝o,Hungary * Correspondence: [email protected] Abstract: Climate change affects crop production by distorting the indestructible productive power of the land. The objective of this study is to examine the economic impacts of climate change on net crop income in Nile Basin Ethiopia using a Ricardian fixed effect approach employing the International Food Policy Research Institute (IFPRI) household survey data for Ethiopia in 2015 and 2016. The survey samples were obtained through a three-stage stratified sampling technique from the five regions (Amhara, Tigray, Benishangul Gumuz, Oromia, and Southern Nation Nationality and People (SNNP) along the Nile basin Ethiopia. There are only 12–14% female household heads while there are 80–86% male households in the regions under study. In the regions, more than half of (64%) the Citation: Baylie, M.M.; Fogarassy, C. household heads are illiterate and almost only one-tenth of them (12%) had received remittance from Examining the Economic Impacts of abroad from their relatives or children. Crop variety adoption rate is minimal, adopted by the 31% Climate Change on Net Crop Income of farmers. -
Administrative Region, Zone and Woreda Map of Oromia a M Tigray a Afar M H U Amhara a Uz N M
35°0'0"E 40°0'0"E Administrative Region, Zone and Woreda Map of Oromia A m Tigray A Afar m h u Amhara a uz N m Dera u N u u G " / m r B u l t Dire Dawa " r a e 0 g G n Hareri 0 ' r u u Addis Ababa ' n i H a 0 Gambela m s Somali 0 ° b a K Oromia Ü a I ° o A Hidabu 0 u Wara o r a n SNNPR 0 h a b s o a 1 u r Abote r z 1 d Jarte a Jarso a b s a b i m J i i L i b K Jardega e r L S u G i g n o G A a e m e r b r a u / K e t m uyu D b e n i u l u o Abay B M G i Ginde e a r n L e o e D l o Chomen e M K Beret a a Abe r s Chinaksen B H e t h Yaya Abichuna Gne'a r a c Nejo Dongoro t u Kombolcha a o Gulele R W Gudetu Kondole b Jimma Genete ru J u Adda a a Boji Dirmeji a d o Jida Goro Gutu i Jarso t Gu J o Kembibit b a g B d e Berga l Kersa Bila Seyo e i l t S d D e a i l u u r b Gursum G i e M Haro Maya B b u B o Boji Chekorsa a l d Lalo Asabi g Jimma Rare Mida M Aleltu a D G e e i o u e u Kurfa Chele t r i r Mieso m s Kegn r Gobu Seyo Ifata A f o F a S Ayira Guliso e Tulo b u S e G j a e i S n Gawo Kebe h i a r a Bako F o d G a l e i r y E l i Ambo i Chiro Zuria r Wayu e e e i l d Gaji Tibe d lm a a s Diga e Toke n Jimma Horo Zuria s e Dale Wabera n a w Tuka B Haru h e N Gimbichu t Kutaye e Yubdo W B Chwaka C a Goba Koricha a Leka a Gidami Boneya Boshe D M A Dale Sadi l Gemechis J I e Sayo Nole Dulecha lu k Nole Kaba i Tikur Alem o l D Lalo Kile Wama Hagalo o b r Yama Logi Welel Akaki a a a Enchini i Dawo ' b Meko n Gena e U Anchar a Midega Tola h a G Dabo a t t M Babile o Jimma Nunu c W e H l d m i K S i s a Kersana o f Hana Arjo D n Becho A o t -
OROMIA REGION - Regional 3W Map 07 December 2010
OROMIA REGION - Regional 3W Map 07 December 2010 CRS I SC-UK V Legend W Amhara S d S Farm Africa R S i E R C Benishangul R A V E CRS CARE MfM C GOAL C P n R W S o i I International Boundary SC-Denmark A , t Gumuz Afar C L c C P K Action Aid C A CARE Welthungerhilfe A CRS S U I M - I ! O C C IMC S S G S a CARE A WVE S Regional Boundary , SC-Denmark R R c m i SC-Denmark Dera C C a S r R f u u u c i C U E A Action Aid t r S m r n u f GOAL e R m R a r A m E IMC r i E C A b a I L L a R R Zonal Boundary K CARE ! f F o C Action Aid H s A a Hidabu Abote m r ! A A g a A r J x a a e A a C r Christian Aid C O d a C d r m O a r b O IMC Action Aid i W a M CA RE o J e I a G F G G G u e ! g L t n b r b e i a i i n i J o E S m u D a d Farm Africa Gerar Jarso R CARE Woreda Boundary E IMC u e p Kuyu E a ! Kiltu Kara m A i n ! o R ! S R C r ! a L Abay Chomen B Debre Libanos o ! Abuna G/Beret A M m M e A H e l o C en a m ks e ina r u Yaya Gulele Abichuna Gne'a C Ch Abe Dongoro ! a h s ! e i t c r a g f a u Nejo t IMC a ! r CRS No Data /No Intervention g E J ! W ! l a x Kombolcha o e R o ! d V e O b B i o ! ! s Guduru G J ib it Goro Gutu ! a r m b a Gudetu Kondole FHI Ke W a Mercy Corps b a s B u i ! r B Boji Dirmeji o t a Bila Seyo e i ! a r Jimma Genete l J d K L e g t s l Jeldu u E a ! d D ! u F Haro Maya e Guto Gida b M S u A m A o e B e M l R i d ! Boji Chekorsa Jimma Rare S ! D CARE GOAL CRS b a B b u A o Aleltu l e ! Kurfa Chele A g I O u f e e y G i u a S Mieso r Agriculture & Livestock i C r s t ! T a Mida KegnA a M Lalo Asabi im r K a ! ! G S Gobu -
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. -
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. -
Download MEASURING the IMPACT of MICROFINANCE
Measuring the Impact of Microfinance Grameen Foundation Publication Series taking another Look by Kathleen Odell About the Author Kathleen Odell is an assistant professor of economics at Dominican University’s Brennan School of Business in River Forest, Illinois. She conducts research in the areas of economic growth and development. Kathleen holds a PhD in economics and a master’s degree in urban planning and policy from the University of Illinois at Chicago. As a Fulbright Scholar, Kathleen studied sustainable development and global policy making at Roskilde University in Denmark in 2003-2004. Kathleen’s work on this project was generously supported by the Brennan School’s Center for Global Peace through Commerce. Acknowledgements The author is grateful for comments on an earlier draft of this paper from several researchers and practitioners in the microfinance field, including Nigel Biggar, Alex Counts, and Camilla Nestor at Grameen Foundation, as well as a number of external readers. Nimish Adhia, Peter Cowhey, Asif Dowla, Christopher Dunford, Geeta Goel, Nathanael Goldberg, Beth Houle, Elisabeth Rhyne, and David Roodman all provided substantive comments which were essential in focusing this report and clarifying a number of points in the text. Thanks also to Grameen Foundation for the opportunity to take on this project and especially for the foundation’s insistence that the editorial choices and interpretations presented here be completely my own. 2 Measuring the Impact of Microfinance ©Grameen® Foundation, USA. All rights reserved. -
ETHIOPIA IDP Situation Report May 2019
ETHIOPIA IDP Situation Report May 2019 Highlights • Government return operations continue at full scale and sites are being dismantled. • Where security is assured and rehabilitation support provided, IDPs have opted to return to their areas of origin. IDPs who still feel insecure and have experienced trauma prefer to relocate elsewhere or integrate within the community. Management of IDP preferences differs in every IDP caseload. • There is minimal to no assistance in areas of return. Local authorities have requested international partner sup- port to address the gap. Meanwhile, public-private initiatives continue to fundraise for the rehabilitation of IDPs. • The living condition of the already vulnerable host communities has deteriorated having shared their limited resources with the IDPs for over a year. I. Displacement context Government IDP return operations have been implemented at full scale since early May 2019 following the 8 April 2019 announcement of the Federal Government’s Strategic Plan to Address Internal Displacement and a costed Re- covery/Rehabilitation Plan. By end May, most IDP sites/camps were dismantled, in particular in East/West Wollega and Gedeo/West Guji zones. Humanitarian partners have increased their engagement with Government at all levels aiming to improve the implementation of the Government return operation, in particular advocating for the returns to happen voluntarily, in safety, sustainably and with dignity. Overall, humanitarian needs remain high in both areas of displacement and of return. Most assistance in displace- ment areas is disrupted following the mass Government return operation and the dismantling of sites, while assis- tance in areas of return remain scant to non-existent, affecting the sustainability of the returns.