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Endogenous Transport Coefficients: Implications for Improving Water Quality from Multi-Contaminants in an Agricultural Watershed

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  • Anastasia Lintner
  • Alfons Weersink

Abstract

The effectiveness of imperfect pollution control instruments is examined for a diffuse source, multi-contaminant problem in which the transport coefficients for sediment-bound residuals are endogenous. Similar evaluations fix the percentage of sediment deposited and optimize either for a single firm managing the whole watershed or on a firm by firm basis. This study shows that ignoring the dependence of the transport coefficients on intervening land uses creates a positive externality. The filtering potential of activities conducted by firms close to the receptor permits firms further away to undertake more profitable but erosive practices. Optimizing management choices, and consequently endogenizing the transport coefficients, for all firms simultaneously removes the externality. An empirical application combines hydrological simulation models with an economic optimization model for nutrient pollution of surface and ground water within an agricultural watershed. Although firms are homogeneous in abatement costs, differences in spatial location leave uniform instruments unable to achieve the water quality goal efficiently. An ambient tax/subsidy scheme can achieve the water quality goal efficiently but the informational requirements will be excessive in most situations where the transport mechanisms for residuals are dependent upon the practices of independent decision making units. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • Anastasia Lintner & Alfons Weersink, 1999. "Endogenous Transport Coefficients: Implications for Improving Water Quality from Multi-Contaminants in an Agricultural Watershed," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(2), pages 269-296, September.
  • Handle: RePEc:kap:enreec:v:14:y:1999:i:2:p:269-296
    DOI: 10.1023/A:1008395209939
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    Cited by:

    1. Y. Farzin & Jonathan Kaplan, 2004. "Nonpoint Source Pollution Control under Incomplete and Costly Information," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(4), pages 489-506, August.
    2. Ancev, Tihomir & Stoecker, Arthur L. & Storm, Daniel E. & White, Michael J., 2006. "The Economics of Efficient Phosphorus Abatement in a Watershed," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-20, December.
    3. Werner Hediger, 2003. "Alternative policy measures and farmers' participation to improve rural landscapes and water quality: A conceptual framework," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(III), pages 333-350, September.
    4. Yang, Wanhong & Khanna, Madhu & Farnsworth, Richard & Onal, Hayri, 2003. "Integrating economic, environmental and GIS modeling to target cost effective land retirement in multiple watersheds," Ecological Economics, Elsevier, vol. 46(2), pages 249-267, September.
    5. Alfons Weersink & Scott Jeffrey & David Pannell, 2002. "Farm-Level Modeling for Bigger Issues," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 123-140.
    6. James Rude & Alfons Weersink, 2018. "The Potential for Cross‐Compliance in Canadian Agricultural Policy: Linking Environmental Goals with Business Risk Management Programs," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(3), pages 359-377, September.
    7. Israel A. Olaoye & Remegio B. Confesor & Joseph D. Ortiz, 2021. "Impact of Agricultural Practices on Water Quality of Old Woman Creek Watershed, Ohio," Agriculture, MDPI, vol. 11(5), pages 1-20, May.
    8. Khanna, Madhu & Yang, Wanhong & Farnsworth, Richard L. & Onal, Hayri, 2002. "Evaluating The Cost Effectiveness Of Land Retirement Programs," 2002 Annual meeting, July 28-31, Long Beach, CA 19740, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Sergey S. Rabotyagov & Adriana M. Valcu & Catherine L. Kling, 2014. "Reversing Property Rights: Practice-Based Approaches for Controlling Agricultural Nonpoint-source Water Pollution When Emissions Aggregate Nonlinearly," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(2), pages 397-419.
    10. Valcu, Adriana Mihaela, 2013. "Agricultural nonpoint source pollution and water quality trading: empirical analysis under imperfect cost information and measurement error," ISU General Staff Papers 201301010800004451, Iowa State University, Department of Economics.
    11. Yang, Wanhong & Khanna, Madhu & Farnsworth, Richard L. & Onal, Hayri, 2001. "Cost Effective Targeting Of Land Retirement To Improve Water Quality: A Multi-Watershed Analysis," 2001 Annual meeting, August 5-8, Chicago, IL 20687, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Yang, Wanhong & Khanna, Madhu & Farnsworth, Richard L. & Onal, Hayri, 2000. "Optimal Targeting Of Crep To Improve Water Quality: Determining Land Rental Offers With Endogenous Sediment Deposition Coefficients," 2000 Annual meeting, July 30-August 2, Tampa, FL 21807, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. van Wenum, J. H. & Wossink, G. A. A. & Renkema, J. A., 2004. "Location-specific modeling for optimizing wildlife management on crop farms," Ecological Economics, Elsevier, vol. 48(4), pages 395-407, April.
    14. Horan, Richard D. & Claassen, Roger & Cooper, Joseph C., 2000. "Environmental Risk And Agri-Environmental Policy Design," 2000 Annual meeting, July 30-August 2, Tampa, FL 21827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    More about this item

    Keywords

    transport coefficients; multiple pollutants; JEL classification: Q2;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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