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Factors Affecting Adoption Of Improved Maize Seed And Fertiliser In Northern Tanzania

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  • Ephraim Nkonya
  • Ted Schroeder
  • David Norman

Abstract

This study quantifies the socioeconomic factors that affect adoption of improved maize seed and chemical fertiliser by producers in Tanzania. A bootstrapped simultaneous equation Tobit model was used to analyse data obtained from a survey of 246 farmers in Northern Tanzania. The adoption of improved maize seed was positively affected by nitrogen use per hectare, farm size, farmer education attainment level, and visits by extension agents. Fertiliser adoption was positively related to the area planted with improved seed. Larger farms tended to use fertiliser less intensively than smaller farms. Results confirm the importance of recognising the heterogeneity of the farming population not only in terms of differences in the biophysical conditions but also in the socioeconomic, environmental conditions under which they operate. This has important implications in terms of developing different technologies and support systems that take such variation into account. The results also confirm the importance of focusing on producer education as a component in influencing technology and in accepting the concept of a technology ladder in designing technological packages and disseminating extension messages.

Suggested Citation

  • Ephraim Nkonya & Ted Schroeder & David Norman, 1997. "Factors Affecting Adoption Of Improved Maize Seed And Fertiliser In Northern Tanzania," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 1-12, January.
  • Handle: RePEc:bla:jageco:v:48:y:1997:i:1-3:p:1-12
    DOI: 10.1111/j.1477-9552.1997.tb01126.x
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    File URL: https://doi.org/10.1111/j.1477-9552.1997.tb01126.x
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    References listed on IDEAS

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    1. Nelson, Forrest & Olson, Lawrence, 1978. "Specification and Estimation of a Simultaneous-Equation Model with Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 695-709, October.
    2. Goodwin, Barry K., 1992. "An Analysis Of Factors Associated With Consumers' Use Of Grocery Coupons," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-11, July.
    3. Gershon Feder & Roger Slade, 1984. "The Acquisition of Information and the Adoption of New Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 312-320.
    4. Amemiya, Takeshi, 1979. "The Estimation of a Simultaneous-Equation Tobit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 169-181, February.
    5. Barry K. Goodwin & Ted C. Schroeder, 1994. "Human Capital, Producer Education Programs, and the Adoption of Forward-Pricing Methods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 936-947.
    6. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    7. Melinda Smale & Richard E. Just & Howard D. Leathers, 1994. "Land Allocation in HYV Adoption Models: An Investigation of Alternative Explanations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 535-546.
    8. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
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