Honeybee Production in the Three Agro-Ecological Districts of Gamo

Total Page:16

File Type:pdf, Size:1020Kb

Honeybee Production in the Three Agro-Ecological Districts of Gamo AGRICULTURE AND BIOLOGY JOURNAL OF NORTH AMERICA ISSN Print: 2151-7517, ISSN Online: 2151-7525, doi:10.5251/abjna.2013.4.5.560.567 © 2013, ScienceHuβ, http://www.scihub.org/ABJNA Honeybee production in the three Agro-ecological districts of Gamo Gofa zone of southern Ethiopia with emphasis on constraints and opportunities 1*Nebiyu Yemane., 2Messele Taye, 1College of Agriculture, Arba Minch University, Arba Minch, Ethiopia 2College of Agriculture, Arba Minch University, Arba Minch, Ethiopia *corresponding author email: [email protected] ABSTRACTS The study was conducted in Gamo Gofa zone of southern Ethiopia to assess the honey bee production systems, constraints and opportunities. Cross-sectional types of studies were used to collect data . Using a purposive sampling technique, 156 households were included in the survey. Data were analyzed using SPSS version 15 software. The main purpose of keeping honey bees were for both income generation and home consumption. The main sources of the foundation colony were catching swarm (96.2%) and buying (3.8%). Most (87.8%) of the beekeepers in the study area have owned only traditional hives. Beekeepers in the study area prevent the incidence of swarming by transferring incidental swarms (69.2%), removal of queen cell (19.2%) and cutting of combs (10.9%). The average amount of honey harvested per hive per year from traditional hive, transitional and modern hive was 5.88 kg, 14.07 kg and 20.64 kg, respectively. There was (p<0.05) variations in the three agro ecological representing woredas in honey yield/hive/year particularly in traditional and modern hives. Whereas the honey yield in transitional hive in the three woredas was not different (p>0.05). The major factors that govern the price of honey in the study area are color and test of honey (59.6%) and season (40.4%). There was (p<0.001) differences on the price of 1 kg honey in the three study woredas. The most important constraints of beekeeping in the study area were lack of beekeeping equipment’s (1st), shortage of bee colony (2nd), high cost of modern hive (3rd), Pests and predators (4th), lack of training (5th), shortage of bee forage (6th), shortage of water (7th) and absconding (8th). However, the study area has huge opportunities and potentials so as to boost the honey and wax production Key words: beekeepers, colony, honeybee, honey, hives INTRODUCTION this in mind the general and specific objectives of the study were to assess the honey bee production Ethiopia, having the highest number of bee colonies systems, constraints and opportunities in the area. and surplus honey sources of flora, is the leading producer of honey and beeswax in Africa. Ethiopia MATERIALS AND METHODS produces around 23.6% and 2.1% of the total African Study area: This study was conducted in Gamo Gofa and world’s honey, respectively. It is the leading zone of the Southern Nations, Nationalities and honey producer in Africa and one of the 10 largest People Regional State, located 505 km South of honey producing countries in the world (Ayalew, Addis Ababa, about 278 km southwest of the 1990). Southern Nations Nationalities and Peoples Region’s Even though the Gamo Gofa zone is endowed with (SNNPR) capital, Hawasa. diversified type of vegetation and horticultural crops Study design: Cross-sectional types of studies were and expected to be potential for beekeeping activities conducted to collect data using questionnaire survey, so far there is no compiled and reliable information observation and group discussion. The sampling on the opportunities and constraints of honeybee units were households keeping honey bees. production in the area. Hence, study of the existing Beekeepers in the three Woreda represented the honey production systems, major constraints and study population. opportunities will help to give important and feasible recommendation for further improvement of the Sampling procedure and sample size honeybee production in a sustainable way. Having determination: The sampling units were households 560 Agric. Biol. J. N. Am., 2013, 4(5): 560-567 keeping honeybee colony. The sample size required Table 1. Purpose of keeping, source of for the study was determined by the formula foundation colony and hives owned recommended by Arsham (2007) for survey studies: n= 0.25/SE2 Variables Demba Boreda Chencha Overall Gofa With the assumption of 4% standard error, a total of (N=52) (N=52) (N=52) (N=156) 156 households were sampled. Thus, a total of 156 households were included. % % % % A purposive sampling procedure were applied for the Purpose study, a total of three woredas namely Chencha, Only for 30.77 17.31 - 16 Boreda and Demab Gofa were selected purposively income generation from high-land, mid-land and low-land areas, Only for Home - - 26.92 9 respectively. Using purposive sampling technique two consumption kebeles from each woreda were selected. Therefore, Both for 69.23 82.69 73.08 75 a total of six representative kebeles were selected income & HH based on agro-ecology representation, honey bee consumption production potential and accessibility. Finally, 26 Source of households owning bee colony were purposively foundation selected from each kebeles that make a total sample colony size of 156 households; Comprising 52 households Catching 100 88.5 100 96.2 from each agro ecology or woredas. swarm Buying - 11.5 - 3.8 Data collection: Information about the type of hives Types of hive used, the number of bee colonies owned, the owned purpose of keeping honey bees, the marketing Only 86.50 92.30 84.60 87.80 system of honey and other hive products, the rate of traditional absconding and swarming and harvesting and Only 3.80 3.80 7.70 5.10 processing of hive products and major constraints of traditional and transitional beekeeping were collected through interviews using a Only 7.70 3.80 5.80 5.80 semi structured questionnaire. To identify traditional and opportunities of honeybee production in the study modern area a group discussion were made with model All the three 1.90 0.00 1.90 1.30 beekeepers, kebele leaders and woreda experts. types of hives N= number of household Statistical analysis: All collected data were entered into Microsoft Excel 2007 and descriptive statistics such as mean, standard error; frequency, percentage Placement of hives and beekeepers preference of and one way ANOVA were used to analyse the data hives: Most (57.7%) of the Beekeepers in the study using SPSS (version 15.0, 2006). area kept the traditional bee hives at the back yard of the house, 21.2 % kept inside a simple shed built for RESULTS hive placement, 13.5% kept under the eaves of the Purpose of keeping honey bees and Source of house, 5.1 % kept on trees in forests and 2.6% kept foundation colony: The main purpose of keeping on trees near home stead. Most of (74.4%) the honey bees were for both income and household beekeepers of the study area preferred traditional consumption, only for income generation and only for hives over transitional (11.5%) and modern hives home consumption according to their importance (14.1%) (Table 2). (Table 1). According to the respondents the main source of the foundation colony were catching swarm (96.2%) and buying (3.8%) (Table 1). 561 Agric. Biol. J. N. Am., 2013, 4(5): 560-567 Table 2. Hive placement and preferred type of hives Variables Demba Gofa Boreda Chencha Overall (N=52) (N=52) (N=52) (N=156) % % % % Hive placement Back yard of the house 51.9 28.8 92.3 57.7 Inside a simple shelter 32.7 30.8 - 21.2 Under the eaves of the house - 38.5 1.9 13.5 Trees in forests 13.5 1.9 - 5.1 Trees near home stead 1.9 - 5.8 2.6 Preferred hives by the beekeepers Traditional 55.8 84.6 82.7 74.4 Transitional 26.9 1.9 5.8 11.5 Modern 17.3 13.5 11.5 14.1 N= number of household Swarm prevention and absconding of honey bee to April. Majority of (84%) the respondents replied colony: According to the present result the frequency that they do not use any swarm prevention or control of absconding of honey bee colonies in the study mechanism whereas the rest of the respondent area were every season (28.8%), every year (54.5%) replied that they prevent or control the incidence of and once in two years (16.7%). According to the swarming by transferring incidental swarms (69.2%), beekeepers of the study area incidence of swarming removal of queen cell (19.2%) and cutting of combs occurred when there is enough availability of honey (10.9%) (Table 3). bee forages particularly during the months of October Table 3. Frequency of swarming, absconding and control methods Variables Demba Gofa Boreda Chencha Overall (N=52) (N=52) (N=52) (N=156) % % % % Occurrence of absconding yes 98.1 56.1 76.9 78.6 no 1.9 43.9 23.1 21.4 Frequency of absconding Every season 19.2 30.8 36.5 28.8 Every year 63.5 48.1 51.9 54.5 Once in two years 17.3 21.2 11.5 16.7 Frequency of swarming Every season 57.7 82.7 63.5 67.9 Every year 36.5 13.5 34.6 28.2 Once in two years 5.8 3.8 1.9 3.8 562 Agric. Biol. J. N. Am., 2013, 4(5): 560-567 Swarm prevention Yes 11.5 21.2 15.4 16 No 88.5 78.8 84.6 84 Swarm control Return back to the colony 75 61.5 71.2 69.2 Removal of queen cell 19.2 26.9 13.5 19.9 Cutting of comb 5.8 11.5 15.4 10.9 N= number of household indicated that the average amount of honey Trends of Honey yield and amount harvested: harvested per hive per year from traditional hive, Most of (66%) the respondents in the study area transitional and modern hive was 5.88 kg, 14.07 kg responded that the honey yield is decreasing over the and 20.64 kg, respectively.
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]
  • Food Supply Prospects - 2009
    FOOD SUPPLY PROSPECTS - 2009 Disaster Management and Food Security Sector (DMFSS) Ministry of Agriculture and Rural Development (MoARD) Addis Ababa Ethiopia February 10, 2009 TABLE OF CONTENTS Pages LIST OF GLOSSARY OF LOCAL NAMES 2 ACRONYMS 3 EXECUTIVE SUMMARY 5 - 8 INTRODUCTION 9 - 12 REGIONAL SUMMARY 1. SOMALI 13 - 17 2. AMHARA 18 – 22 3. SNNPR 23 – 28 4. OROMIYA 29 – 32 5. TIGRAY 33 – 36 6. AFAR 37 – 40 7. BENSHANGUL GUMUZ 41 – 42 8. GAMBELLA 43 - 44 9. DIRE DAWA ADMINISTRATIVE COUNSEL 44 – 46 10. HARARI 47 - 48 ANNEX – 1 NEEDY POPULATION AND FOOD REQUIREMENT BY WOREDA 2 Glossary Azmera Rains from early March to early June (Tigray) Belg Short rainy season from February/March to June/July (National) Birkads cemented water reservoir Chat Mildly narcotic shrub grown as cash crop Dega Highlands (altitude>2500 meters) Deyr Short rains from October to November (Somali Region) Ellas Traditional deep wells Enset False Banana Plant Gena Belg season during February to May (Borena and Guji zones) Gu Main rains from March to June ( Somali Region) Haga Dry season from mid July to end of September (Southern zone of of Somali ) Hagaya Short rains from October to November (Borena/Bale) Jilal Long dry season from January to March ( Somali Region) Karan Rains from mid-July to September in the Northern zones of Somali region ( Jijiga and Shinile zones) Karma Main rains fro July to September (Afar) Kolla Lowlands (altitude <1500meters) Meher/Kiremt Main rainy season from June to September in crop dependent areas Sugum Short rains ( not more than 5 days
    [Show full text]
  • Full Length Research Article DEVELOPMENT RESEARCH
    Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 07, Issue, 01, pp.11119-11130, January, 2017 Full Length Research Article DETERMINANTS OF RURAL HOUSEHOLDS’ VULNERABILITY TO POVERTY IN CHENCHA AND ABAYA DISTRICTS, SOUTHERN ETHIOPIA *Fassil Eshetu Abebe Department of Economics, College of Business and Economics, Arba Minch University ARTICLE INFO ABSTRACT Article History: This study primarily aimed to examine the determinants of rural households’ vulnerability to Received 27th October, 2016 poverty and to profile the households according to their level of vulnerability using Feasible Received in revised form Generalized Least Square (FGLS) and Logistic Regression analysis with the help of data collected 28th November, 2016 from a sample of 500 households in two Woredas. The general poverty line of the study area was Accepted 14th December, 2016 determined to be Birr 248 per month per adult equivalent and 29.8 percent of the population in the th Published online 30 January, 2017 study areas were found to be poor. The projected consumption percapita after the three step FGLS estimation revealed that, the incidence of vulnerability to poverty in the area was 34.2 percent and Key Words: therefore, vulnerability was more spread in the study areas than ex post poverty. Using the two Poverty, Vulnerability, vulnerability thresholds, observed poverty rate (0.298) and vulnerability of 0.5, about 28.6%, Feasible Generalized Least Square, 5.6% and 65.8% of households were highly vulnerable, low vulnerable and not vulnerable Logit Model and Ethiopia. respectively. Most importantly, from the total poor households about 81.75%, 3.25% and 15% were highly vulnerable, low vulnerable and not vulnerable respectively.
    [Show full text]
  • 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.
    [Show full text]
  • Hygienic Practice Among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia
    Research Article Volume 12:2, 2021 Journal of Veterinary Science & Technology ISSN: 2157-7579 Open Access Knowledge; Hygienic Practice among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia Edget Alembo* Department of Animal Science, Arba Minch University, Arba Minch, Ethiopia Abstract A cross-sectional questionnaire survey was conducted in Arba Minch Zuria and Demba Gofa districts of Gamo and Gofa Zone of the Southern nation nationalities and people’s regional state with the objectives of assessing knowledge of hygienic practice of milk and cheese handlers in both study area. For this a total of 102 farmers who involved in milking, collecting and retailing of milk were included in the study area. Data obtained from questionnaire survey were analyzed by descriptive statistics and Chi –square test, using the Statistical package for social science (SPSS Version 17). The participants of this study were woman of different age group and 27(52.9%) of participants in Arba Minch Zuria and 32(64.7%) in Demba Gofa were >36 years old. The majority of participants 21(41.2%) and 22(43.1%) were educated up to grade 1-8 in Arba Minch Zuria and Demba Gofa, respectively. This had an impact on hygienic practice of milking and milk handling. The difference in hygienic handling, training obtained and cheese making practice among the study areas were statistically significant (p<0.05). There was also a statistically significant difference in hand washing and utensil as well as manner of washing between the two study areas (p<0.01). Finally this study revealed that there were no variation in Antibiotic usage and Practice of treating sick animal in both study area (p>0.05) with significant difference in Prognosis, Level of skin infection and Selling practice among study participants in both study areas (p<0.05).
    [Show full text]
  • Agency Deyr/Karan 2012 Seasonal
    Food Supply Prospects FOR THE YEAR 2013 ______________________________________________________________________________ Disaster Risk Management and Food Security Sector (DRMFSS) Ministry of Agriculture (MoA) March 2013 Addis Ababa, Ethiopia Table of Contents Glossary ................................................................................................................. 2 Acronyms ............................................................................................................... 3 EXCUTIVE SUMMARY ............................................................................................. 4 INTRODUCTION.................................................................................................... 11 REGIONAL SUMMARY OF FOOD SUPPLY PROSPECT ............................................. 14 SOMALI ............................................................................................................. 14 OROMIA ........................................................................................................... 21 TIGRAY .............................................................................................................. 27 AMHARA ........................................................................................................... 31 AFAR ................................................................................................................. 34 BENISHANGUL GUMUZ ..................................................................................... 37 SNNP ...............................................................................................................
    [Show full text]
  • Prevalence, Intensity and Control Strategies of Soil-Transmitted Helminth
    medRxiv preprint doi: https://doi.org/10.1101/2020.05.14.20102277; this version posted May 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Prevalence, intensity and control strategies of soil-transmitted helminth 2 infections among pre-school age children after 10 years of preventive 3 chemotherapy in Gamo Gofa zone, Southern Ethiopia: A call for action 4 5 6 Mekuria Asnakew Asfaw1*, Tigist Gezmu1, Teklu Wegayehu2, Alemayehu Bekele1, Zeleke 7 Hailemariam3, Nebiyu Masresha4, Teshome Gebre5 8 9 10 11 1Collaborative Research and Training Centre for NTDs, Arba Minch University, Ethiopia, 12 2Department of Biology, College of Natural Sciences, Arba Minch University, Ethiopia, 13 3School of Public health, College of Medicine and Health Sciences, Arba Minch University, 14 Ethiopia, 15 4 Ethiopian Public Health Institute, Addis Ababa, Ethiopia, 16 5 The Task Force for Global Health, International Trachoma Initiative, Addis Ababa, Ethiopia 17 18 19 *Corresponding author 20 E-mail : [email protected] (MA) 21 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.05.14.20102277; this version posted May 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
    [Show full text]
  • Partners for Water Supply and Sanitation (Pfws) and Wateraid
    Partners for Water and Sanitation Note on project reports The following report has been prepared by Partners for Water and Sanitation in response to a project Terms of Reference. The content of the report is based on the opinion of the author(s) and does not necessarily represent the opinions of the wider PfWS partnership, or the project funders. Any extracts from the report should only be used with prior permission of the report author(s). Partners for Water and Sanitation, July 2010 Partners for Water and Sanitation Joint Capacity Building Support to the Gamo Gofa Zone, Konso and Derashe Special Woreda Water Resources Development Office (WRDO), Southern Nations, Nationalities and Peoples Region (SNNPR), Ethiopia, on Rehabilitation of Water Supply Schemes. Partners for Water and Sanitation (PfWS) and WaterAid Ethiopia (WAE) Report Submitted by: Paul Stanfield (Wessex Water Services Ltd) Mike Fray (Information and Performance Services Ltd) Melkamu Jelata (Partners for Water and Sanitation) February 2010 Contents amendment record This report has been issued and amended as follows: Revision Description Date Signed 1 Draft for PfWS and February Paul WaterAid Ethiopia 2010 Stanfield Comment 2 Draft Final 25th Feb Paul 2010 Stanfield Joint Capacity Building Support to the Gamo Gofa Zone, Konso and Derashe Special Woreda Water Resources Development Office (WRDO), Southern Nations, Nationalities and Peoples Region (SNNPR), Ethiopia, on Rehabilitation of Water Supply Schemes. 1. Introduction In January 2010, Partners for Water Supply and Sanitation (PfWS) and WaterAid Ethiopia (WAE) conducted a joint capacity building training, workshop and needs assessment event with the Water Resources Development Office (WRDO) in Arba Minch, Gamo Gofa Zone, SNNPR, Ethiopia.
    [Show full text]
  • Delivery at Home and Associated Factors Among Women in Child Bearing Age, Who Gave Birth in the Preceding Two Years in Zala Woreda, Southern Ethiopia
    Vol. 9(6), pp. 177-188, June 2017 DOI: 10.5897/JPHE2017.0921 Article Number: 65593B764379 Journal of Public Health and ISSN 2141-2316 Copyright © 2017 Epidemiology Author(s) retain the copyright of this article http://www.academicjournals.org/JPHE Full Length Research Paper Delivery at home and associated factors among women in child bearing age, who gave birth in the preceding two years in Zala Woreda, southern Ethiopia Bedilu Kucho1 and Niguse Mekonnen2* 1Mayor of Sawla Town, Demba Gofa Woreda, Gamo Gofa Zone, Southern Nation Nationalities peoples State, Ethiopia. 2School of Public Health, College of Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia. Received 26 January, 2017; Accepted 24 March, 2017 A key intervention to achieve the goal of maternal mortality reduction in deliveries that occur at home is significant. In Ethiopia, the MMR has reduced from 676/100,000 live births in 2011 to 420/100,000 live births in 2013 with a skilled attendant of 23%, whereas 77% deliveries occurred at home without proper medical attention and care during childbirth. Little is known about cultural factors that contribute to home delivery. Therefore, this study aimed to explore the cultural factors and other factors in detail that previous studies did not address in detail and assess prevalence of home delivery and associated factors among child bearing age women who gave birth in the preceding two years in Zala Woreda, Southern Ethiopia. A community based cross sectional study that triangulates quantitative with qualitative approaches was conducted from March 15 to April 10, 2015. Multistage sampling through simple random technique was employed to select 447 study participants.
    [Show full text]
  • The Role of Butter Production and Marketing in the Livelihood of Rural Communities in Kucha Woreda of Gamo Gofa Zone, Snnpr I Ad
    THE ROLE OF BUTTER PRODUCTION AND MARKETING IN THE LIVELIHOOD OF RURAL COMMUNITIES IN KUCHA WOREDA OF GAMO GOFA ZONE, SNNPR IADDI s ABABA UNrVERSITY - ARAKI CAMPUS LIBRARY FIKRU HAILEGIORGIS A YZA A THESIS SUBMITTED TO CENTER FOR RURAL DEVELOPMENT STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER'S OF ARTS IN DEVELOPMENT STUDIES (RURAL LIVELIHOOD AND DEVELOPMENT). ADDIS ABABA UNIVERSITY ADDIS ABABA, ETHIOPIA JUNE 2012 ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES This is to certify that the thesis prepared by Fikru Hailegiorgis, entitled the role of butter production and marketing in the livelihood of rural communities in Kucha Woreda of Garno Gofa zone, SNNPR in partial fulfillment of the requirements for the degree of Master's of Arts in Development Studies (Rural Livelihood And Development) compiles with the regulation of the university and meets the accepted standards with respect to originality and quality. Signed By the Examining Committees; - Internal Examiner Degefa Tolossa (PhD) External Examiner Abeje Birhanu (PhD) S i g na tu re'Jl"-o'--'---"----=- Date ____ Advisor Bamlak Alamirew (PhD) Signature ~k Date 2-6 /D{,/1»7l/ ADDIS ABABA UNTVERSTTY AKAKI CAMPUS LIBRARY \ Chair of Department or Graduate Program ii I p" g e Biography of the Author Born on 11th of May 1986 in Arbaminch town to his father Hailegiorgis Ayza and his mother Shelemu Chal'ebo, the author is the third among the seven siblings (three brothers and three sisters) in the family. However, he spent most of his childhood in Selamber town, Kucha Woreda, Garno Goffa Zone, SNNPR, where his parents currently live.
    [Show full text]
  • “Modern State” in Ethiopia and the Dynamics of Personal Names and Naming Practices Among the Gofa of Southwest Ethiopia Yetebarek Hizekeal Zekareas
    The Advent of “Modern State” in Ethiopia and the Dynamics of Personal Names and Naming Practices among the Gofa of Southwest Ethiopia Yetebarek Hizekeal Zekareas The Advent of “Modern State” in Ethiopia and the Dynamics of Personal Names and Naming Practices among the Gofa of Southwest Ethiopia Yetebarek Hizekeal Zekareas Dilla University, Ethiopia [email protected] ABSTRACT This article analyzes how the “modern state” in Ethiopia has played crucial roles in the dynam- ics of personal names and naming practices of the Gofa people through its ideology, institu- tions, and strategies of standardizing linguistic and personal naming practices. The double roles of the state, both as a fortification and change agent, are analyzed by categorizing the Ethiopian state into two periods: the imperial state (1890’s to 1974) and post-imperial state (1974 to pres- ent). Based on empirical data, I argue that the imperial state, through its persistence effort and perceived opportunities, significantly succeeded in converting the indigenous Gofa names and patterns to the state (Amhara) nomenclature. On the other hand, the post-imperial state policies have shown significant signs of restoring indigenous cultures but could not fully materialize the policies and their discourses due to the involvement of multiple actors that complicate the restoration process. Keywords: Gofa, Ethiopia, modern state, personal naming practice, Amhara This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Nordic Journal of African Studies – Vol 28 No 1 (2019) 1 (19) The Advent of “Modern State” in Ethiopia and the Dynamics of Personal Names and Naming Practices among the Gofa of Southwest Ethiopia Yetebarek Hizekeal Zekareas ABOUT THE AUTHOR Yetebarek Hizekeal ZEKAREAS is a researcher at the Institute of Indigenous Studies, Dilla University (Ethiopia).
    [Show full text]
  • Determinants of Rural Households' Vulnerability to Poverty in Chencha
    Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.7, No.21, 2016 Determinants of Rural Households’ Vulnerability to Poverty in Chencha and Abaya Districts, Southern Ethiopia (Microeconometric Analysis) Fassil Eshetu Abebe Department of Economics, College of Business and Economics, Arba Minch University, PO.Box 21, Arba Minch, Ethiopia Abstract This study primarily aimed to examine the determinants of rural households’ vulnerability to poverty and to profile the households according to their level of vulnerability using Feasible Generalized Least Square (FGLS) and Logistic Regression analysis with the help of data collected from a sample of 500 households in two Woredas. The general poverty line of the study area was determined to be Birr 248 per month per adult equivalent and 29.8 percent of the population in the study areas were found to be poor. The projected consumption percapita after the three step FGLS estimation revealed that, the incidence of vulnerability to poverty in the area was 34.2 percent and therefore, vulnerability was more spread in the study areas than ex post poverty.Using the two vulnerability thresholds, observed poverty rate (0.298) and vulnerability of 0.5, about 28.6%, 5.6% and 65.8% of households were highly vulnerable, low vulnerable and not vulnerable respectively. Most importantly, from the total poor households about 81.75%, 3.25% and 15% were highly vulnerable, low vulnerable and not vulnerable respectively. About 36.06% of female headed households were highly vulnerable while 27.56% of male headed households were highly vulnerable.The logistic regression after the three steps FGLS estimation revealed that being female headed households, large family sizes and low access to all season roads and local markets statistically significantly increased the vulnerability of rural households to poverty.
    [Show full text]