Global Journal of Science Frontier Research: H Environment & Earth Science
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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 -- -
Land Use Patterns and Its Implication for Climate Change: the Case of Gamo Gofa, Southern Ethiopia
Defaru Debebe. et al., IJSRR 2013, 2(3), 155-173 Research article Available online www.ijsrr.org ISSN: 2279–0543 International Journal of Scientific Research and Reviews Land Use Patterns and its Implication for Climate Change: The Case of Gamo Gofa, Southern Ethiopia Defaru Debebe* and Tuma Ayele Arba Minch University P.O.Box 21, Arba Minch, Ethiopia ABSTRACT Land is one of three major factors of production in classical economics (along with labor and capital) and an essential input for housing and crop production. Land use is the backbone of agriculture and it provides substantial economic and social benefits. Assessing past-to present land use patterns associated with the crop production helps to understand which climatic effects might arise due to expanding crop cultivation. This study was conducted to evaluate the land use pattern and its implication for climate change in Gamo Gofa, Southern Ethiopia. For evaluation, correlation and time series trend analysis were used. Results revealed that a significant reduction in cultivable land, which was converted into cropland and might increase deforestation and greenhouse gas emission, in turn induce climate change. The correlation between cropland and fertile (cultivable) land (r=0.22674) in 2005 improved to (r=0.75734) in 2012 indicating major shift of fertile land to cropland in seven years interval. On other side, twelve years (1987-1999 and 2000-2011) average maximum temperature difference in Gamo Gafa was increased 0.425oC with standard deviation 0.331. It is statistically significant (t =1.284, alpha=0.10) at 10% level of error. Moreover, the spatial differences in climate change are likely to imply a heterogeneous pattern of land use responses. -
Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008)
Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008) ma, maa (O) why? HES37 Ma 1258'/3813' 2093 m, near Deresge 12/38 [Gz] HES37 Ma Abo (church) 1259'/3812' 2549 m 12/38 [Gz] JEH61 Maabai (plain) 12/40 [WO] HEM61 Maaga (Maago), see Mahago HEU35 Maago 2354 m 12/39 [LM WO] HEU71 Maajeraro (Ma'ajeraro) 1320'/3931' 2345 m, 13/39 [Gz] south of Mekele -- Maale language, an Omotic language spoken in the Bako-Gazer district -- Maale people, living at some distance to the north-west of the Konso HCC.. Maale (area), east of Jinka 05/36 [x] ?? Maana, east of Ankar in the north-west 12/37? [n] JEJ40 Maandita (area) 12/41 [WO] HFF31 Maaquddi, see Meakudi maar (T) honey HFC45 Maar (Amba Maar) 1401'/3706' 1151 m 14/37 [Gz] HEU62 Maara 1314'/3935' 1940 m 13/39 [Gu Gz] JEJ42 Maaru (area) 12/41 [WO] maass..: masara (O) castle, temple JEJ52 Maassarra (area) 12/41 [WO] Ma.., see also Me.. -- Mabaan (Burun), name of a small ethnic group, numbering 3,026 at one census, but about 23 only according to the 1994 census maber (Gurage) monthly Christian gathering where there is an orthodox church HET52 Maber 1312'/3838' 1996 m 13/38 [WO Gz] mabera: mabara (O) religious organization of a group of men or women JEC50 Mabera (area), cf Mebera 11/41 [WO] mabil: mebil (mäbil) (A) food, eatables -- Mabil, Mavil, name of a Mecha Oromo tribe HDR42 Mabil, see Koli, cf Mebel JEP96 Mabra 1330'/4116' 126 m, 13/41 [WO Gz] near the border of Eritrea, cf Mebera HEU91 Macalle, see Mekele JDK54 Macanis, see Makanissa HDM12 Macaniso, see Makaniso HES69 Macanna, see Makanna, and also Mekane Birhan HFF64 Macargot, see Makargot JER02 Macarra, see Makarra HES50 Macatat, see Makatat HDH78 Maccanissa, see Makanisa HDE04 Macchi, se Meki HFF02 Macden, see May Mekden (with sub-post office) macha (O) 1. -
World Bank Document
Sample Procurement Plan (Text in italic font is meant for instruction to staff and should be deleted in the final version of the PP) Public Disclosure Authorized (This is only a sample with the minimum content that is required to be included in the PAD. The detailed procurement plan is still mandatory for disclosure on the Bank’s website in accordance with the guidelines. The initial procurement plan will cover the first 18 months of the project and then updated annually or earlier as necessary). I. General 1. Bank’s approval Date of the procurement Plan: Updated Procurement Plan, M 2. Date of General Procurement Notice: Dec 24, 2006 Public Disclosure Authorized 3. Period covered by this procurement plan: The procurement period of project covered from year June 2010 to December 2012 II. Goods and Works and non-consulting services. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: [Thresholds for applicable procurement methods (not limited to the list below) will be determined by the Procurement Specialist /Procurement Accredited Staff based on the assessment of the implementing agency’s capacity.] Public Disclosure Authorized Procurement Method Prior Review Comments Threshold US$ 1. ICB and LIB (Goods) Above US$ 500,000 All 2. NCB (Goods) Above US$ 100,000 First contract 3. ICB (Works) Above US$ 15 million All 4. NCB (Works) Above US$ 5 million All 5. (Non-Consultant Services) Below US$ 100,000 First contract [Add other methods if necessary] 2. Prequalification. Bidders for _Not applicable_ shall be prequalified in accordance with the provisions of paragraphs 2.9 and 2.10 of the Public Disclosure Authorized Guidelines. -
Demography and Health
SNNPR Southern Nations Nationalities and Peoples Demography and Health Aynalem Adugna, July 2014 www.EthioDemographyAndHealth.Org 2 SNNPR is one of the largest regions in Ethiopia, accounting for more than 10 percent of the country’s land area [1]. The mid-2008 population is estimated at nearly 16,000,000; almost a fifth of the country’s population. With less than one in tenth of its population (8.9%) living in urban areas in 2008 the region is overwhelmingly rural. "The region is divided into 13 administrative zones, 133 Woredas and 3512 Kebeles, and its capital is Awassa." [1] "The SNNPR is an extremely ethnically diverse region of Ethiopia, inhabited by more than 80 ethnic groups, of which over 45 (or 56 percent) are indigenous to the region (CSA 1996). These ethnic groups are distinguished by different languages, cultures, and socioeconomic organizations. Although none of the indigenous ethnic groups dominates the ethnic makeup of the national population, there is a considerable ethnic imbalance within the region. The largest ethnic groups in the SNNPR are the Sidama (17.6 percent), Wolayta (11.7 percent), Gurage (8.8 percent), Hadiya (8.4 percent), Selite (7.1 percent), Gamo (6.7 percent), Keffa (5.3 percent), Gedeo (4.4 percent), and Kembata (4.3 percent) …. While the Sidama are the largest ethnic group in the region, each ethnic group is numerically dominant in its respective administrative zone, and there are large minority ethnic groups in each zone. The languages spoken in the SNNPR can be classified into four linguistic families: Cushitic, Nilotic, Omotic, and Semitic. -
Determinants of Sesame Market Supply in Melokoza District, Southern Ethiopia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Food Science and Quality Management www.iiste.org ISSN 2224-6088 (Paper) ISSN 2225-0557 (Online) Vol.82, 2018 Determinants of Sesame Market Supply in Melokoza District, Southern Ethiopia Dagnaygebaw Goshme 1 Bosena Tegegne 2 Lemma Zemedu 2 1.Department of Agricultural Economics, Bule Hora University, Ethiopia 2.School of Agricultural Economics and Agribusiness, Haramaya University, Ethiopia Abstract Sesame is an important cash crop and plays vital role in the livelihood of many people in Ethiopia. However a number of challenges hampered the development of sesame sector along the market. Therefore this study was initiated to analyze the determinants of sesame market supply by farm household in the study area. Both primary and secondary data were used for the study. Primary data were collected from 123 farm households selected randomly through semi structured questionnaire. Secondary data were collected by reviewing documents from different sources. Econometric model were used to analyze the data. The result of the multiple linear regression model indicated that seven variables namely Land allocated under sesame, sesame yield, family size, extension contact, credit access and market information influenced market supply of sesame positively while distance to the nearest market center was found to have a significant negative effect on sesame market supply. The finding suggests that, Strengthening Institutions that convey reliable and timely market information; strengthening extension system through training in all aspect and design financial institutions to address the challenges of financial access to smallholder farmers and traders. -
The Effect of Value Added Tax Administration on Revenue Performance: the Case of Gamo Gofa Zone, Southern, Ethiopia
THE EFFECT OF VALUE ADDED TAX ADMINISTRATION ON REVENUE PERFORMANCE: THE CASE OF GAMO GOFA ZONE, SOUTHERN, ETHIOPIA ARBAMINCH UNIVERSITY COLLEGE OF BUSINESS AND ECONOMICS DEPARTMENT OF ACCOUNTING AND FINANCE A THESIS SUBMITTED TO THE DEPARTMET OF ACCOUNTING AND FINANCE, SCHOOL OF POST GRADUATE STUDIES IN PARTIAL FULFILLMENT IN THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE By AMARECH BEYENE BEZABIH ID NO RMA/003/07 PRINCIPAL ADVISOR: SHAIK ABDUL MUJEEB (PROFESSOR) CO-ADVISOR: MR NEGALIGN MAMO (MSc) JUNE, 2017 ARBAMINCH, ETHIOPIA 6 THE EFFECT OF VALUE ADDED TAX (VAT) ADMINISTRATION ON REVENUE PERFORMANCE: THE CASE OF GAMO GOFA ZONE, SOUTHERN, ETHIOIPA AMARECH BEYENE A THESIS SUBMITTED TO THE DEPARTMET OF ACCOUNTING AND FINANCE, SCHOOL OF POST GRADUATE STUDIES IN PARTIAL FULFILLMENT IN REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN ACCOUNTING AND FINANCE 7 DECLARATION I hereby declare that this MSc thesis is my original work and has not been presented for a degree in any other university, and all sources of material used for this thesis have been duly acknowledged. Amarech Beyene Signature ------------------------------------ Date--------------------------------------- 8 Examiners ‘Thesis Approval sheet School of Postgraduate Studies Arbaminch University We, the undersigned, member of the Board of Examiners of the final open defence by Amarech Beyene have read and evaluated her study entitled “The Effect of Value Added Tax (VAT) Administration on Revenue Performance: The Case of Gamo Gofa zone, Southern, Ethiopia” and examined the candidate’s oral presentation. This is, therefore, to certify that the study has been accepted in partial fulfilment of the requirements for the degree of Master of Accounting and Finance (MSc). -
Guide 2000 English.Pub
1 MAY 2008 AWASSA 2 Table of Contents Page N0 • Introduction 1 Part I Location and Administrative Division—- - - - - - - - - - - - - - 2 • Topography —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2 • Climate —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - • Soil Resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 3 • Land use and land cover —- - - - - - - - - - - - - - - - - - - - - - - - - 3 • Water bodies —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - • Forest Resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 5 • Wild life resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 5 • Tourist Attraction and potential —- - - - - - - - - - - - - - - - - - - 6 • Population —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 7 • Ethnic Composition —- - - - - - - - - - - - - - - - - - - - - - - - - 8 • Urbanization —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 8 • Agriculture —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 8 • Livestock resource —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Fisher —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Hides and skins production and market —- - - - - - - - - - - - - - 9 • Apiculture —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Industry —- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 9 • Education—- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Maternal and Neonatal Mortality in Rural South Ethiopia: Comparing Mortality Measurements and Assessing Obstetric Care
2015 Maternal and neonatal mortality in rural south Ethiopia and neonatal mortality in ruralMaternal south Ethiopia Maternal and neonatal mortality in rural south Ethiopia: Comparing mortality measurements and assessing obstetric care Yaliso Yaya Balla Dissertation for the degree of philosophiae doctor (PhD) University of Bergen, Norway 2015 • Yaliso Yaya Balla Yaya Yaliso • www.uib.no Graphic design: Division of Communication, UiB ISBN: 978-82-308-2600-3 Print: AIT Oslo AS Maternal and neonatal mortality in rural south Ethiopia: Comparing mortality measurements and assessing obstetric care <DOLVR<D\D%DOOD Dissertation for the degree philosophiae doctor (PhD) at the University of Bergen Dissertation date: June 25th Dedication To mothers who die during pregnancy and childbirth in resource-limited settings without accessing essential obstetric services. “Pregnancy is not a disease but a normal physiological process that women must engage in for the sake of humanity. Whereas the elimination or eradication of disease is a rational and laudable endeavour, the same strategy cannot be applied to maternal mortality. There is no pathogen to control, no vector to eradicate. Women will continue to need care during pregnancy and childbirth as long as humanity continues to reproduce itself. Failure to take action to prevent maternal death amounts to discrimination because only women face the risk.” Carla AbouZahr (2003) Maternal and neonatal mortality in rural south Ethiopia 2015 Acknowledgements I gratefully acknowledge the Norwegian State Education Loan Fund and the Centre for International Health, University of Bergen for funding my study. I would also like to acknowledge the Gamo Gofa Zonal Health Department and Woreda Health Offices in Bonke, Arba Minch Zuria, Demba Gofa, and Derashe for the important supports during the fieldwork. -
Identification and Prioritization of Major Factors That Challenge Crop
Research Article Ann Soc Sci Manage Stud Volume 1 Issue 1 - April 2018 Copyright © All rights are reserved by Tariku Simion DOI: 10.19080/ASM.2018.01.555553 Identification and Prioritization of Major Factors that Challenge Crop Productivity and Production System in the Case of Gamo Gofa, Segen Area People Zone and Basketo Special Woreda Tariku Simion*, Getachew Gudero, Kanko Chuntale, Alemnesh Ayza, Abriham Alemu, Arega Abebe and Abayneh Fayso South Agricultural Research Institute, Arbaminch Agricultural Research Center, Ethiopia Submission: March 10, 2018; Published: April 27, 2018 *Corresponding author: Tariku Simion, Crop research process coordinator at Agricultural research institute, Southern Agricultural Research Institute, Haramaya University, Ethiopia, Email: Abstract as a Agriculturesource of cash employs income, more home than consumption, 84 percent and as industry contributes inputs 30-60% and for of theexport gross purpose. domestic This product survey (GDP) was conducted in Ethiopia. at Agriculture Gamogofa, outputSegen Area also is used as an input for industries and can stimulate the growth of industrialization. In SNNPR, 90% of the total population depends on agriculture production and productivity and to meet the demand and need of stakeholders, markets and end users in the study areas. Formal and informal dataPeople sources Zones were and Basketused to Special generate Woreda information. by Arbaminch Lack of improvedAgricultural crops Research varieties Center and associatedto identify improvedand prioritize management -
Assessment of Harvest and Post-Harvest Factors Affecting Quality of Arabica Coffee in Gamo Gofa Zone, Southern Ethiopia
Vol. 11(24), pp. 2157-2165, 16 June, 2016 DOI: 10.5897/AJAR2015.10449 Article Number: 90FF1DC58987 African Journal of Agricultural ISSN 1991-637X Copyright ©2016 Research Author(s) retain the copyright of this article http://www.academicjournals.org/AJAR Full Length Research Paper Assessment of harvest and post-harvest factors affecting quality of Arabica coffee in Gamo Gofa Zone, Southern Ethiopia Gezahegn Garo1*, Sabura Shara1 and Yohanes Mare2 1Department of Horticulture, Arba Minch University College of Agricultural Sciences, P.O. Box 21, Arba Minch, Ethiopia. 2Department of Rural Development and Agricultural extension, Arba Minch University College of Agricultural Sciences, P.O. Box 21, Arba Minch, Ethiopia. Received 25 September, 2015; Accepted 3 February, 2016 The quality of coffee produced in Gamo Gofa zone is declining from time to time due to improper harvesting and post-harvest management practices. Consequently, coffee produced under home garden is recognized as forest coffee at national market. Therefore, this study was conducted during 2012-2013 with the objective of assessing factors affecting coffee quality during and after harvest. Totally, 160 household respondents were used from three Woredas for data collection from relevant stakeholders, that is, farmers, middlemen (agents and traders) coffee processors and extension workers. Secondary data on coffee grades was also collected from the Ethiopian Commodity Exchange (ECX) coffee inspection laboratory located at Wolaita Soddo. Finally, quantitative data was analyzed by employing SPSS (version 20). The results indicated that most of respondents (79.4%) harvest their coffee at majority red ripe stage. Concerning harvesting method, 51.3% of respondents practice selective hand picking, while the rest 48.1% harvest by striping on the ground and collect together with previously dropped cherries. -
Spatio-Temporal Variability and Trends of Rainfall and Temperature Over Gamo Gofa Zone, Ethiopia
Journal of Scientific Research & Reports 12(2): 1-11, 2016; Article no.JSRR.28667 ISSN: 2320-0227 SCIENCEDOMAIN international www.sciencedomain.org Spatio-temporal Variability and Trends of Rainfall and Temperature Over Gamo Gofa Zone, Ethiopia Tefera Ashine Teyso 1 and Agena Anjulo 2* 1Directorate of Climate Change Research, Ethiopian Environment and Forest Research Institute, P.O.Box 24536, Addis Ababa, Ethiopia. 2Ethiopian Environment and Forest Research Institute, P.O.Box 24536, Addis Ababa, Ethiopia. Authors’ contributions This work was carried out in collaboration between the two authors. Both authors designed the study, wrote the protocol, managed the literature searches, analyzed the data and wrote the manuscript. Both authors read and approved the final manuscript. Article Information DOI: 10.9734/JSRR/2016/28667 Editor(s): (1) Grigorios L. Kyriakopoulos, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Greece. Reviewers: (1) Bharat Raj Singh, Dr. APJ Abdul Kalam Technical University, Lucknow, India. (2) Anonymous, Dr Y S Parmar University of Horticulture & Forestry, Nauni (Solan), India. Complete Peer review History: http://www.sciencedomain.org/review-history/16436 Received 30 th July 2016 Accepted 5th September 2016 Original Research Article th Published 4 October 2016 ABSTRACT This study examined spatiotemporal climate variability and trends of observed rainfall and temperature data from 1991-2010 over Gamo Gofa zone, southern Ethiopia. Normalized anomaly and coefficient of variation were analyzed to observe the variability of climate. Linear regression was used to analyze trends; Mann Kendall trend test was used for testing the significance and ArcGIS was used to map trend magnitudes and the statistical significance.