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Bayissa Gedefa

Bio: Bayissa Gedefa is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

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Journal Article
TL;DR: In this article, the determinants of household-level of adoption and cost benefit analysis based on the data collected in 2014 G.C from 140 randomly selected households in drought prone areas of Ethiopia namely from West Herreghe Zone, Meisso district.
Abstract: This article documents the determinants of household-level of adoption and cost benefit analysis based on the data collected in 2014 G.C from 140 randomly -selected households in drought prone areas of Ethiopia namely from West Herreghe Zone, Meisso district. Data for the study was obtained from formal household questionnaire survey, key informant discussion and direct observation of farmers fields. .In addition, secondary data were collected from relevant sources such as different research institute, zonal and wereda bureau of agriculture . In order to describe and compare different categories of the sample units with respect to the desired characteristics mean, standard deviation and percentage were used. Furthermore, chi-square test and an independent sample t-test were used to identify variables that vary significantly between adopters and non-adopter.Logistic regression (binary logit) analysis was used to identify the relative importance of the various factors associated with adoption of improved sesame technologies. The economic analysis using the partial budgeting method and price sensitivity analysis were also used to ascertain the profitability of the adopted improved sesame technologies. The result of the study indicated that about 42.9% of the sample respondents were adopters of the improved sesame technologies ,while 57.1 % non- adopters. Results of the logistic regression analysis indicate that among 18, identified explanatory variables 9, of them significantly influenced adoption of improved sesame technologies. Education,sex, family labor supply, livestock onwership,total farm income earned ,perception on varieties attributes, farmer to farmers knowledge sharing and years experience in sesame crop production are associated singificantly and positively with adoption of improved sesame technologies.whereas,distance from market center is associated significantly but negatively. The partial budget results also indicate that improved sesame technology was highly profitable compared to local cultivars .The overall finding of the study underlined the high importance of institutional support in the areas of extension service to insist farmer-to-farmer knowledge sharing, credit and market to enhance adoption of improved sesame technology. There is also need to consider farmers’ views during the new technology development, evaluation and dissemination process. Moreover, due attention and policy consideration has to be given by government to those significant variables which have a potential impact in determining farmer’s adoption decision in the study area. Keywords: Logistic regression (binary logit) analysis, seseame tecchnology adoption, Cost Benefit Analysis Sensitivity , Ethiopia

4 citations


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01 Jan 2016
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89 citations

Journal ArticleDOI
TL;DR: Inorganic fertilizer is one of the key technologies that could enhance crop productivity and yet farmers are still using lower than the recommended rates and yet there are a lot of farmers who ar...
Abstract: Inorganic fertilizer is one of the key technologies that could enhance crop productivity. However, farmers are still using lower than the recommended rates and yet there are a lot of farmers who ar...

3 citations

Journal ArticleDOI
TL;DR: In this paper , the authors assess the impact of adopting improved maize varieties on productivity and food insecurity in Amuru district of Horo Guduru Wollega, Ethiopia using a probit model.
Abstract: Abstract Government policy strategies, particularly in sub-Saharan Africa (SSA), are aimed at increasing agricultural productivity, which could contribute to improve household welfare. Hence, understanding smallholder farmers’ low and variable crop yields has been a central research and policy priority in addressing food security. Likewise, the purpose of this study was to assess the impact of adopting improved maize varieties on productivity and food insecurity in Amuru district of Horo Guduru Wollega, Ethiopia. The study utilized cross-sectional household data collected in 2020/2021 from 263 randomly selected sample households. The probit model’s findings indicate that factors that positively influenced households’ adoption of the improved maize varieties included the household head’s education level, the amount of livestock owned, access to credit, access to training, farm size, access to extension agents, and access to information from farmers associations, while factors that negatively influenced adoption included family size and market distance. The endogenous treatment effect model’s findings also showed that IMV adoptions considerably improve smallholder farmers’ welfare by lowering food insecurity and raising their average calorie intake and net crop values. Thus, it is advised that governments and other interested institutions should promote the adoption of improved maize varieties on a larger scale in order to boost maize yield and lower rural household food insecurity.