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Journal Article

Adoption and Cost Benefit Analysis of Sesame Technology in Drought Prone Areas of Ethiopia: Implication for Sustainable Commercialization

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
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01 Jan 2016
TL;DR: The statistics a tool for social research is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading statistics a tool for social research. As you may know, people have look hundreds times for their chosen novels like this statistics a tool for social research, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs inside their desktop computer. statistics a tool for social research is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the statistics a tool for social research is universally compatible with any devices to read.

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


Cites methods from "Adoption and Cost Benefit Analysis ..."

  • ...Following earlier studies assessed the profitability of technology use in cereal production (Gedefa, 2016; Takele, 2010)) we adopted net profit analysis method where all inputs and expenses required to produce the specific crop (in our case, maize) were considered and costs are estimated based on…...

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  • ...Estimating profitability of mineral fertilizer use in maize production Following earlier studies assessed the profitability of technology use in cereal production (Gedefa, 2016; Takele, 2010)) we adopted net profit analysis method where all inputs and expenses required to produce the specific crop (in our case, maize) were considered and costs are estimated based on market prices....

    [...]

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.
References
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Journal ArticleDOI
TL;DR: In this article, the extent to which economic action is embedded in structures of social relations, in modern industrial society, is examined, and it is argued that reformist economists who attempt to bring social structure back in do so in the "oversocialized" way criticized by Dennis Wrong.
Abstract: How behavior and institutions are affected by social relations is one of the classic questions of social theory. This paper concerns the extent to which economic action is embedded in structures of social relations, in modern industrial society. Although the usual neoclasical accounts provide an "undersocialized" or atomized-actor explanation of such action, reformist economists who attempt to bring social structure back in do so in the "oversocialized" way criticized by Dennis Wrong. Under-and oversocialized accounts are paradoxically similar in their neglect of ongoing structures of social relations, and a sophisticated account of economic action must consider its embeddedness in such structures. The argument in illustrated by a critique of Oliver Williamson's "markets and hierarchies" research program.

25,601 citations

31 Jan 1982
TL;DR: This article reviewed various studies which have provided a description of and possible explanation to patterns of innovation adoption in the agricultural sector and highlighted the diversity in observed patterns among various farmers' classes as well as differences in results from different studies in different socioeconomic environments.
Abstract: This paper is a revised version of Staff Working Paper 444 It reviews various studies which have provided a description of and possible explanation to patterns of innovation adoption in the agricultural sector It therefore covers both empirical and theoretical studies The discussion highlights the diversity in observed patterns among various farmers' classes as well as differences in results from different studies in different socio-economic environments, and reviews the attempts to rationalize such findings Special attention is given to the methodologies which are commonly used in studies of innovation adoption, and suggestions for improvements of such work through the use of appropriate economometric methods are provided The diversity of experiences with different innovations in different geographical and socio-cultural environments suggest that studies of adoption patterns should provide detailed information on attributes of the institutional, social and cultural setting and their interactions with economic factors These may be an important element in explaining conflicting experiences

3,145 citations

01 Jan 1994
TL;DR: The most important developments in econometrics in the past ten years have occurred in the area of qualitative response (QR) models as discussed by the authors, and there are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables.
Abstract: One of the most important developments in econometrics in the past ten years has occurred in the area of qualitative response (QR) models. There are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables. The estimation of such complex QR models has only recently been made possible by the development of advanced computer technology. 2) An increasingly large number of sample surveys have been recently conducted and their results made readily available on magnetic tapes. This paper will present the basic facts about QR models. It starts with the discussion of the simplest model - the model for a univariate dichotomous dependent variable, and then moves on to multi-response models. The following three problems are discussed: 1) how to specify a model which is consistent with economic theory and which is at the same time statistically manageable; 2) how to estimate and test hypotheses on the parameters of a model; and 3) what criteria to use for choosing among competing models.

1,995 citations

Posted Content
TL;DR: The most important developments in econometrics in the past ten years have occurred in the area of qualitative response (QR) models as discussed by the authors, and there are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables.
Abstract: One of the most important developments in econometrics in the past ten years has occurred in the area of qualitative response (QR) models. There are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables. The estimation of such complex QR models has only recently been made possible by the development of advanced computer technology. 2) An increasingly large number of sample surveys have been recently conducted and their results made readily available on magnetic tapes. This paper will present the basic facts about QR models. It starts with the discussion of the simplest model - the model for a univariate dichotomous dependent variable, and then moves on to multi-response models. The following three problems are discussed: 1) how to specify a model which is consistent with economic theory and which is at the same time statistically manageable; 2) how to estimate and test hypotheses on the parameters of a model; and 3) what criteria to use for choosing among competing models.

1,971 citations