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Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture

Autor: Langyintuo, A.S.
Autor: Mekuria, M.
Año: 2008
URI: http://hdl.handle.net/10883/2150
URI: http://hdl.handle.net/10883/2150
Resumen: Researchers generally assume spatial homogeneity when assessing the factors that influence farmers to adopt improved agricultural technologies. However, the potential for spatial heterogeneity is high due to, for example, neighborhood effects such as farmers sharing information about new technology. Ignoring spatial heterogeneity can result in biased or inefficient regression estimates and make inferences based on t and F statistics misleading. Using data collected from 300 randomly selected farmers in three districts of Mozambique during the 2003/04 crop season, a spatial Tobit model was specified to estimate which factors determined the adoption of improved maize varieties, after an initial diagnostic test rejected the null hypothesis of spatial homogeneity. On the basis of the empirical evidence, the paper makes policy recommendations to increase Mozambican farmers’ adoption of improved maize varieties and concludes by emphasizing the need to test and correct for spatial heterogeneity in technology adoption modeling to improve the efficiency of the estimated results.
Lenguaje: English
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Tipo: Article
Región: Global
Paginas: 151-169
No de Revista: 2
Revista: African Journal of Agricultural and Resource Economics
Volumen de la Revista: 2
Palabras Claves: Spatial Tobit model
Palabras Claves: Spatial heterogeneity
Palabras Claves: Spatial autocorrelation
Palabras Claves: Neighborhood effects
Palabras Claves: Maize farmers
Palabras Claves: Mozambique


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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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