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Environmental And Economic Impacts Of Soil Erosion And Fertility Mining In Northern Tanzania

Author

Listed:
  • Nkonya, Ephraim M.
  • Barkley, Andrew P.
  • Hamilton, Stephen F.
  • Bernardo, Daniel J.

Abstract

This paper develops a soil conservation model that is relevant to smallholder farmers who apply little or no fertilizer. Empirical results drawn from northern Tanzania imply that, ignoring fertility mining problem in model specification leads to overestimation of profits for farms that apply little or no fertilizer. The model also shows that, the impact of output price on soil conservation efforts depends on the curvature of the soil erosion function.

Suggested Citation

  • Nkonya, Ephraim M. & Barkley, Andrew P. & Hamilton, Stephen F. & Bernardo, Daniel J., 1999. "Environmental And Economic Impacts Of Soil Erosion And Fertility Mining In Northern Tanzania," 1999 Annual meeting, August 8-11, Nashville, TN 21623, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea99:21623
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    References listed on IDEAS

    as
    1. LaFrance, Jeffrey T., 1992. "Do Increased Commodity Prices Lead To More Or Less Soil Degradation?," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 36(01), April.
    2. Harry R. Clarke, 1992. "The Supply Of Non‚ÄźDegraded Agricultural Land," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 36(1), pages 31-56, April.
    3. Edward B. Barbier, 1990. "The Farm-Level Economics of Soil Conservation: The Uplands of Java," Land Economics, University of Wisconsin Press, vol. 66(2), pages 199-211.
    4. Barrett, Scott, 1991. "Optimal soil conservation and the reform of agricultural pricing policies," Journal of Development Economics, Elsevier, vol. 36(2), pages 167-187, October.
    5. Renan U. Goetz, 1997. "Diversification in Agricultural Production: A Dynamic Model of Optimal Cropping to Manage Soil Erosion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 341-356.
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