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Bett, Charles. |
In this paper the conceptual framework of individual farmers' adoption decisions of new agricultural technologies is used to identify factors that influence adoption modified fanya juu terraces in semi-arid eastern Kenya. The adoption decision model was specified using farm and farmers' characteristics and technology characteristics though likely to influence farmers' adoption behaviour. To test intensity of adoption a Torbit model was specified and estimated. Results of logit regression analysis reveal that access to markets, education, costs, technology attributes, labour, credit and risk preferences significantly influenced adoption decisions. Results from the estimated intensity of adoption model (tobit) show that variation in the proportion of land... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Logit analysis; Tobit analysis; Modified terraces; Adoption; Farm Management; Land Economics/Use. |
Ano: 2004 |
URL: http://purl.umn.edu/58369 |
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Nambiro, Elizabeth; Chianu, Jonas; Murage, Alice W.. |
Maize is the staple food for most Kenyan households, and grown in almost all the farming systems. Due to diminishing farm sizes in Kakamega District, crop productivity and the efficiency of farming systems are of great concern. This paper aims to provide empirical evidence on the links between efficiency in maize production and access to soil-related agricultural information services. Using cluster sampling, a total of 154 farmers in Kakamega District were interviewed. A 2–step estimation technique (Data Envelopment Analysis (DEA) and Tobit model) were used to evaluate the technical efficiencies among the farmers and the factors explaining the estimated efficiency scores. Data was disaggregated into farmers with and those without access to soil-related... |
Tipo: Journal Article |
Palavras-chave: Maize; Soil information; Technical efficiency; Tobit analysis; DEA; Teaching/Communication/Extension/Profession. |
Ano: 2010 |
URL: http://purl.umn.edu/95961 |
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