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Nonpoint Source Pollution Control under Incomplete and Costly Information

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  • Y. Farzin
  • Jonathan Kaplan

Abstract

We analyze the efficient management of nonpoint source pollution (NPS) under a limited pollution control budget and incomplete information. We focus on the tradeoff between data collection and pollution abatement efforts by incorporating information acquisition into a NPS pollution control model. Comparative static results show conditions under which (i) a favorable change in the abatement costs at one source may lead to an increase in the treatment level at all sources, and vice versa, (ii) an increase in data collection cost leads to an increase in data collection level, and (iii) an increase in the efficiency of information acquisition leads to a decrease in the level of data collection. More importantly, the model simulations illustrate that acquiring and exploiting information on heterogeneity of sediment loading distributions across polluting sources leads to a more efficient budget allocation and hence a greater reduction in pollution damage than would be the case without such information. Copyright Kluwer Academic Publishers 2004

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  • 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.
    • Handle: RePEc:kap:enreec:v:28:y:2004:i:4:p:489-506
    DOI: 10.1023/B:EARE.0000036775.79214.a4
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    Cited by:

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    2. Katrin Millock & Angels Xabadia & David Zilberman, 2009. "Investment Policy for New Environmental Monitoring Technologies to Manage Stock Externalities," Post-Print halshs-00367888, HAL.
    3. Larry Karp, 2005. "Nonpoint Source Pollution Taxes and Excessive Tax Burden," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(2), pages 229-251, June.
    4. Michail Tsagris & Vangelis Tzouvelekas, 2022. "Nitrate leaching and efficiency measurement in intensive farming systems: A parametric by‐production technology approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 633-647, July.
    5. Ramilan, Thiagarajah & Scrimgeour, Frank G., 2006. "Abatement Cost Heterogeneity and its Impact on Tradable Nitrogen Discharge Permits," 2006 Conference, August 24-25, 2006, Nelson, New Zealand 31972, New Zealand Agricultural and Resource Economics Society.
    6. Anastasios Xepapadeas, 2011. "The Economics of Non-Point-Source Pollution," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 355-373, October.
    7. Johansson, Robert C., 2002. "Watershed Nutrient Trading Under Asymmetric Information," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(2), pages 1-13, October.

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    More about this item

    Keywords

    constrained pollution control budget; costly information; non-point source pollution; uncertainty;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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