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Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone

  • Adesina, Akinwumi A.
  • Zinnah, Moses M.
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    The objective of this paper is to test the hypothesis that farmer perceptions of technology- specific characteristics significantly condition technology adoption decisions. Earlier adoption studies have not considered this in the analysis of the determinants of adoption decisions. The omission of farmers' evaluation of technology-specific attributes may bias the results of factors conditioning adoption choices. A Tobit model was used to test this hypothesis using a stratified random sample of 124 mangrove swamp rice farmers in Sierra Leone. The issue investigated is the adoption of improved mangrove swamp rice varieties. The estimated model results show that farmer perceptions of the technology-specific attributes of the varieties are the major factors determining adoption and use intensities. Indicators of adoption determinants traditionally used in adoption-diffusion studies were found not to be important in driving adoption decisions. Therefore, there is need for adoption studies to consider farmers' perceptions of technology-specific attributes in the assessment of technology adoption decisions.

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    File URL: http://purl.umn.edu/173225
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    Article provided by International Association of Agricultural Economists in its journal Agricultural Economics of Agricultural Economists.

    Volume (Year): 09 (1993)
    Issue (Month): 4 (December)
    Pages:

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    Handle: RePEc:ags:iaaeaj:173225
    Contact details of provider: Web page: http://www.iaae-agecon.org/
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    1. Kebede, Yohannes & Gunjal, Kisan & Coffin, Garth, 1990. "Adoption of new technologies in Ethiopian agriculture: The case of Tegulet-Bulga district Shoa province," Agricultural Economics, Blackwell, vol. 4(1), pages 27-43, April.
    2. Norris, Patricia E. & Batie, Sandra S., 1987. "Virginia Farmers' Soil Conservation Decisions: An Application Of Tobit Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(01), July.
    3. Brian W. Gould & William E. Saupe & Richard M. Klemme, 1989. "Conservation Tillage: The Role of Farm and Operator Characteristics and the Perception of Soil Erosion," Land Economics, University of Wisconsin Press, vol. 65(2), pages 167-185.
    4. Kebede, Yohannes & Gunjal, Kisan & Coffin, Garth, 1990. "Adoption of New Technologies in Ethiopian Agriculture: The Case of Tegulet-Bulga District, Shoa Province," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 4(1), April.
    5. Rahm, M. & Huffman, Wallace, 1984. "The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables," Staff General Research Papers 10977, Iowa State University, Department of Economics.
    6. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-21, May.
    7. Polson, Rudulph A. & Spencer, Dunstan S. C., 1991. "The technology adoption process in subsistence agriculture: The case of cassava in Southwestern Nigeria," Agricultural Systems, Elsevier, vol. 36(1), pages 65-78.
    8. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-98, January.
    9. Rosett, Richard N & Nelson, Forrest D, 1975. "Estimation of the Two-Limit Probit Regression Model," Econometrica, Econometric Society, vol. 43(1), pages 141-46, January.
    10. Agarwal, Bina, 1983. "Diffusion of rural innovations: Some analytical issues and the case of wood-burning stoves," World Development, Elsevier, vol. 11(4), pages 359-376, April.
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