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The Complex Dynamics Of Smallholder Technology Adoption: The Case Of Sri In Madagascar

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  • Moser, Christine M.
  • Barrett, Christopher B.

Abstract

This paper explores the dynamics of smallholder technology adoption, with particular reference to a high-yielding, low-external input rice production method in Madagascar. We present a simple model of technology adoption by farm households in an environment of incomplete financial and land markets. We then use a probit model and a symmetrically trimmed least squares estimation of a dynamic Tobit model to analyze the decisions to adopt, expand and disadopt the method. We find that seasonal liquidity constraints discourage adoption by poorer farmers. Learning effects – both from extension agents and from other farmers– exert significant influence over adoption decisions.

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Bibliographic Info

Paper provided by Cornell University, Department of Applied Economics and Management in its series Working Papers with number 14735.

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Date of creation: 2003
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Handle: RePEc:ags:cudawp:14735

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Keywords: Technology adoption; learning; the System of Rice Intensification; conformity effects; Farm Management; O0; O1; Q0; Q16; Q12; Q18;

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  1. Christopher B. Barrett & Paul A. Dorosh, 1996. "Farmers' Welfare and Changing Food Prices: Nonparametric Evidence from Rice in Madagascar," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 656-669.
  2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
  3. Frisvold, George B., 1994. "Does supervision matter? Some hypothesis tests using Indian farm-level data," Journal of Development Economics, Elsevier, vol. 43(2), pages 217-238, April.
  4. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
  5. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, vol. 54(6), pages 1435-60, November.
  6. George A. Akerlof, 1978. "A theory of social custom, of which unemployment may be one consequence," Special Studies Papers 118, Board of Governors of the Federal Reserve System (U.S.).
  7. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
  8. Moser, Christine M. & Barrett, Christopher B., 2003. "The disappointing adoption dynamics of a yield-increasing, low external-input technology: the case of SRI in Madagascar," Agricultural Systems, Elsevier, vol. 76(3), pages 1085-1100, June.
  9. 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.
  10. Kreps, David M, 1997. "Intrinsic Motivation and Extrinsic Incentives," American Economic Review, American Economic Association, vol. 87(2), pages 359-64, May.
  11. Kevane, Michael & Wydick, Bruce, 2001. "Social Norms and the Time Allocation of Women's Labor in Burkina Faso," Review of Development Economics, Wiley Blackwell, vol. 5(1), pages 119-29, February.
  12. Reardon, Thomas, 1997. "Using evidence of household income diversification to inform study of the rural nonfarm labor market in Africa," World Development, Elsevier, vol. 25(5), pages 735-747, May.
  13. Lisa A. Cameron, 1999. "The Importance of Learning in the Adoption of High-Yielding Variety Seeds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 83-94.
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