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Economic and Water Quality Impacts of Reducing Nitrogen and Pesticide Use in Agriculture

Published online by Cambridge University Press:  15 September 2016

Timothy O. Randhir  and
John G. Lee
Timothy O. Randhir
Affiliation:
Department of Agricultural Economics, Purdue University
John G. Lee
Affiliation:
Department of Agricultural Economics, Purdue University
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Abstract

A multiyear regional risk programming model was used in evaluating the impacts of different environmental policies on cropping systems, input use, nonpoint source pollution, farm income, and risk. A direct expected utility maximizing problem (DEMP) objective with a Von Neuman Morgenstern utility function was used in deriving optimal cropping systems. A biophysical simulation model provided input for the optimization. Three types of policies—taxing, regulating the aggregate, and regulating the per acre level—were studied for two farm inputs—nitrogen and atrazine. It was observed that policies had varied and multiple cross-effects on pollutant loads, farm income, and risk. This information is crucial in developing successful policies toward improving water quality. If an appropriate input policy is chosen, both targeted and nontargeted pollutant loads can be managed. The three policies varied in their effects on pollutant loads and involved tradeoffs in water quality and economic attributes.

Type
Articles
Information
Agricultural and Resource Economics Review , Volume 26 , Issue 1 , April 1997 , pp. 39 - 51
Copyright
Copyright © 1997 Northeastern Agricultural and Resource Economics Association 

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References

Baumol, W., and Oates, W. 1988. The Theory of Environmental Policies. New York; Cambridge University Press.Google Scholar
Braden, J.B., Johnson, G.V., Bouzaher, A., and Miltz, D. 1989. “Optimal Spatial Management of Agricultural Pollution,” American Journal of Agricultural Economics 71: 404–413.CrossRefGoogle Scholar
Brooke, A., Kendrick, D., and Meeraus, A. 1988. GAMS: A User's Guide. Redwood, Calif.: Scientific Press.Google Scholar
Clark, E.H., Haverkamp, J.A., and Chapman, W. 1985. Eroding Soils: The Off-Farm Impacts. Washington, D.C.: Conservation Foundation.Google Scholar
Erwin, W. 1988. “Regulating Water Quality: A Farmers Perspective.” Journal of Soil and Water Conservation 44: 65–66.Google Scholar
Foltz, J.C. 1991. “Economic and Environmental Implications of Alternative Agricultural Systems in the Eastern Com Belt: A Multi Criteria Decision Approach.” Ph.D. diss., Department of Agricultural Economics, Purdue University.Google Scholar
Foltz, J.C., Lee, J.G., and Martin, M.A. 1993. “Farm-level Economic and Environmental Impacts of Eastern Corn Belt Cropping Systems.” Journal of Production Agriculture 6(2): 290–296.Google Scholar
Foltz, J.C., Lee, J.G., Martin, M.A., and Preckel, P.V. 1995. “Multi-attribute Assessment of Alternative Cropping Systems.” American Journal of Agricultural Economics 77: 408–20.Google Scholar
Kozloff, K., Taff, S.J., and Wang, Y. 1992. “Micro-Targeting the Acquisition of Cropping Rights to Reduce Nonpoint Source Pollution.” Water Resources Research 28(3): 623–28.CrossRefGoogle Scholar
Lambert, David K., and McCarl, Bruce A. 1985. “Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Functions.” American Journal of Agricultural Economics 67(4): 846–52.Google Scholar
Lovejoy, Stephen B., Lee, John G., and Beasley, David B. 1985. “Muddy Water and American Agriculture: How to Best Control Sediment from Agricultural Land?” Water Resources Research 21(8): 1065–68.Google Scholar
Mapp, H.P., Bernardo, D.J., Sabbagh, G.J., Geleta, S., and Watkins, K.B. 1994. “Economic and Environmental Impacts of Limiting Nitrogen Use to Protect Water Quality: A Stochastic Regional Analysis.” American Journal of Agricultural Economics 76: 889–903.Google Scholar
Phillips, D.L., Hardin, P.D., Benson, V.W., and Bagilo, J.V. 1993. “Non-Point Source Pollution Impacts of Alternative Agricultural Management Practices in Illinois: A Simulation Study.” Journal of Soil and Water Conservation. 48: 449–57.Google Scholar
U.S. Bureau of the Census. 1992. 1992 Census of Agriculture: Geographic Area Series: Indiana, State and County Data. Vol. 1, part 14. Washington, D.C.Google Scholar
U.S. Department of Agriculture (USDA). Economic Research Service (ERS). Resources and Technology Division. 1993. Agricultural Production and Natural Resource Data Linked in White River Basin Study. RTD Updates: Area Studies. June.Google Scholar
USDA and Purdue University. Indiana Agricultural Statistical Service. 1992. Indiana Agricultural Statistics. West Lafayette, Ind.Google Scholar
Williams, J.R., Jones, C.A., Kiniry, J.R., and Spanel, D.A. 1989. “The EPIC Crop Growth Model.” Transactions of the American Society of Agricultural Engineers. 32: 497–511.Google Scholar
Young, C.E., and Crowder, B.M. 1986. “Managing Nutrient Losses: Some Empirical Results on the Potential Water Quality Effects.” Northeastern Journal of Agricultural and Resource Economics 15(2): 130–36.Google Scholar
Young, C.E., and Osborn, C.T. 1990. The Conservation Reserve Program: An Economic Assessment. USDA/ERS Agricultural Economic Report no. 626. February.Google Scholar