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Impacts of Agricultural Practices and Policies on Potential Nitrate Water Pollution in the Midwest and Northern Plains of the United States

Author

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  • Wu, JunJie
  • Lakshminarayan, P.G.
  • Babcock, Bruce A.

Abstract

An empirical model is developed to estimate the effects of alternative farming practices on potential nitrogen runoff and leaching in 128,591 National Resources Inventory sites across the Midwest and the Northern Plains of the United States. This model integrates the effects of soils, climate, crops, and management practices on nitrogen loss. The model is applied to evaluation of two policy scenarios. The first scenario reduces N fertilizer application rates by 25 percent through the soil N test. The second replaces continuous cropping practices with crop rotations. The results show that policy effects vary widely across the study region. This analysis emphasizes the importance of conducting policy analysis on a disaggregated scale.

Suggested Citation

  • Wu, JunJie & Lakshminarayan, P.G. & Babcock, Bruce A., 1996. "Impacts of Agricultural Practices and Policies on Potential Nitrate Water Pollution in the Midwest and Northern Plains of the United States," Hebrew University of Jerusalem Archive 18386, Hebrew University of Jerusalem.
    • Handle: RePEc:ags:hebarc:18386
    DOI: 10.22004/ag.econ.18386
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    1. is not listed on IDEAS
    2. Petrolia, Daniel R. & Gowda, Prasanna H., 2006. "An Analysis of the Role of Tile-Drained Farmland Under Alternative Nitrogen Abatement Policies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-15, December.
    3. Daniel R. Petrolia & Prasanna H. Gowda, 2006. "Missing the Boat: Midwest Farm Drainage and Gulf of Mexico Hypoxia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(2), pages 240-253.
    4. J. D. Opsomer & D. Ruppert & M. P. Wand & U. Holst & O. Hössjer, 1999. "Kriging with Nonparametric Variance Function Estimation," Biometrics, The International Biometric Society, vol. 55(3), pages 704-710, September.

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