Department of Economics

URI for this collectionhttps://rps.wku.edu.et/handle/123456789/45802

Department of Economics

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    IMPACTS OF SAVING AND CREDIT COOPERATIVES ON HOUSEHOLDS‟ WELLBEING IN GURAGE ZONE, SNNP REGIONAL STATE, ETHIOPIA
    (Wolkite University, 2019-06) SAMUEL CHIMDI
    The purpose of this study was to examine impacts of saving and credit cooperative societies on household wellbeing in Gurage Zone, SNNPR, Ethiopia. Primary and secondary sources were used. The primary data source was collected through direct interviews based on semi structured questionaries’ from 90 treared and 112 controlled group plus discussion with three informant group and extra with staffs of two unions .The study was used a cross- sectional survey research design, and the multistage sampling techniques was employed. The survey data were analyzed through quantitative method, and used descriptive statistics and inferentially statistics logit and propensity score matching econometrics model.The study finding shows age, education, training, loan, interest rate, income sources are the main factors affecting Saving and credit cooperative membership participation. The impact evaluation finding based on household asset accumulation measurements shows Saving and credit cooperative participants were more own asset than non participants. However, there is no significant difference between income and consumption among membership participants and non participants. Finally, researcher recommend SACCOs should seriously work to develop members entrepreneurial talent and promoting members to investing on off-farm and non farm rather than invest on fixed asset activities to improve household wellbeing.
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    Impact of technology Adoption legume producing on Farmers’ Income: A Case study of Guraghe Zone
    (Wolkite University, 2019) Sahlu Badishe
    The importance of agricultural technology in enhancing production and productivity can be realized when yield increasing technologies are widely been used and diffused. Standing from this logical ground, this paper aimed to evaluate the impact of legumes technologies adoption on farm income on Guraghe Zone in Ethiopia. This study used cross sectional data that acquired from total of 204 households which were randomly and proportionately sample from 9 major legumes producer kebeles in three district of Guraghe zone stratifies sampling techniques. Logit model was used to estimate to identify underlying factor that determine adoption of legume technologies(improve legume seed, fertilizers, chemicals, inoculants and farming techniques). PSM model wasused to estimate to evaluate the impact of legume technologies adoption of farmers’ income. Descriptive statistics and econometric models were used to analyze the data. The results from log it model indicate that educational level of household, the household headed, member of cooperative association, to advices to agricultural extension services, size of cultivated land forcrop, credit access, off-farm participation and tropical livestock unit positively significant adopt of legume technologies adoption. If female of household headed and plot size for legumes crop cultivated purpose negatively significant influence of legume technologies adoption. Impact assessment of the marginal effect showed that farmers who had adopted legume technologies could enhance their annual total income level by 46.6% and the crop income particularly from grain legume has been increased by 88%. What about the impact based on the findings, the study suggests that strengthening the promotion of full package technology adoption will have crucial role towards improving the livelihood of households in the study area. In doing so, managing the possible influencing factors that affect adoption of legume technology should be a prerequisite.
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    ROLE OF PRODUCTIVEE SAFETY NET PROGRAM ON HOUSEHOLDS PARTICIPAION ON OFF-FARM ACTIVITIES IN ETHIOPIA: THE CASE OF MAREKO DISTRICT
    (Wolkite University, 2019-01) REDWAN KEDIR
    This research attempted to assess the role of productive safety net program on household participation on off-farm activity in Mareko district of Southern Nation Nationality Region. Purposive, stratified proportionate random sampling and simple random sampling techniques were employed to select sample respondents. A total of 200 households were selected for the study. The instrument developed was survey questionnaire. Both qualitative and quantitative data were gathered for the study. Descriptive statistics like frequency, percentage, and econometrics models were employed to analyze the survey data. The descriptive statistics result revealed that, from the sampled respondents the majority (66.5 %) of households was participated in off-farm activity. From the total sampled respondents almost all were got their livelihoods from agricultural activities, which account on average (50 %) of the total annual income. The remaining 27% of incomes of the rural household head were off-farm activities. The result of probit model regression also indicates that, Gender (sex of household head, farming land size and total household size were found out significantly and positively affect the off-farm activity participation, while, age of household head, farm income and marital status were found out negative and significant factors. Propensity score matching techniques was used to analyzes the effect of PSNP participation on off-farm activity income. Albeit the result from the PSM was not statistically significant, it indicates that participation in PSNP program had negative effect on the off-farm activity income. Finally, it was recommended that Government and NGOs should provide training on more profitable off-farm activities for PSNP beneficiaries to support household’s participation on off-farm income generating activities
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    EFFECT OF INFRASTRUCTURE DEVELOPMENT ON RURAL POVERTY REDUCTION IN ETHIOPIA: PANEL DATA ANALYSIS
    (Wolkite University, 2019-06) MESFIN NEGASH
    The purpose of this study is to explore the effect of infrastructuredevelopment on rural poverty in Ethiopia. The effect of infrastructure development and rural poverty is examined by using panel data from the period 1995/96 to 2016. The data was sourced from the National Bank of Ethiopia, Central Statics Agency, and World Bank. To undertake this study, eleven regions of the country were used. The study used both descriptive statistics and econometric analyses. The descriptive statistical analysis displays the trend of infrastructure development on rural poverty reduction and the improvement of rural poverty is largely concerned with raising the quality of life of people living standards of the society. The Random effect model was used for econometrics analysis in order to show the effect of rural poverty. In analyzing the effect of infrastructure development on rural poverty in Ethiopia, the study were applied Unit root tests, and Granger causality test. Based on the findings, the study highlights major variable such as water, education,inflation and government expenditure has a significant effect on rural povertyreduction. The estimation result suggested that, an increasing infrastructure development reduces rural poverty. The causality estimation shows both electrification and road has a positive effect infrastructure development on rural poverty reduction. Furthermore, the study found unidirectional causal relationship moving from electrification and road while there is no causality between foreign direct investment, inflation, government expenditure, education and rural water with rural poverty. There is no bidirectional relation between variables. This finding is consistent with the standard economic theory. Based on the findings the study highlights major issues policymakers should give due attention towards the effective formulation and implementation of infrastructure development policies toreduce and eliminate rural poverty.