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Incentive-Compatible Pollution Control Policies under Asymmetric Information on Both Risk Preferences and Technology

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  • Jeffrey M. Peterson
  • Richard N. Boisvert

Abstract

This article proposes a method to accommodate asymmetric information on farmers' risk preferences in designing voluntary environmental policies. By incorporating stochastic efficiency rules in a mechanism design problem, the government can find incentive-compatible policies by knowing only the general class of risk preferences among farmers. The model also accounts for hidden information on technology types and input use. The method is applied empirically to simulate a pollution control program in New York. Results suggest that participation incentives would be inadequate for many risk-averse producers if the government does not account for the diversity in risk preferences. Copyright 2004, Oxford University Press.

Suggested Citation

  • Jeffrey M. Peterson & Richard N. Boisvert, 2004. "Incentive-Compatible Pollution Control Policies under Asymmetric Information on Both Risk Preferences and Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 291-306.
    • Handle: RePEc:oup:ajagec:v:86:y:2004:i:2:p:291-306
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    File URL: http://hdl.handle.net/10.1111/j.0092-5853.2004.00579.x
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    Cited by:

    1. Salas, Paula Cordero & Roe, Brian E. & Sohngen, Brent, 2012. "Addressing Additionality in REDD Contracts when Formal Enforcement is Absent," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124505, Agricultural and Applied Economics Association.
    2. Boncea Amelia & Rabontu Cecilia Irina, 2007. "The Ecologic Balance In The Equation Of The Durable Development," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(8), pages 137-142, April.
    3. Christian Schaper & Ludwig Theuvsen & Achim Spiller, 2010. "Risikoneigung und Risikoverhalten von Milch-erzeugern: Eine Typologisierung," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 3(1), pages 157-193.
    4. Sauer, J. & Walsh, J. & Zilberman, D., 2014. "Agri-Environmental Policy Effects at Producer Level – Identification and Measurement," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    5. Ferraro, Paul J., 2008. "Asymmetric information and contract design for payments for environmental services," Ecological Economics, Elsevier, vol. 65(4), pages 810-821, May.
    6. Sauer, Johannes & Walsh, John & Zilberman, David, 2012. "Behavioural Change through Agri-Environmental Policies ? – A Distance Function based Matching Approach," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134783, Agricultural Economics Society.
    7. Paula Cordero Salas & Brian E. Roe & Brent Sohngen, 2018. "Additionality When REDD Contracts Must be Self-Enforcing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 195-215, January.
    8. Elofsson, Katarina, 2011. "Contracting Nitrogen Abatement in the Baltic Proper Watershed Under the Risk of Climate Change," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114344, European Association of Agricultural Economists.
    9. Adam Ozanne & Ben White, 2008. "Hidden action, risk aversion and variable fines in agri-environmental schemes ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(2), pages 203-212, June.
    10. Sauer, Johannes & Walsh, John, 2011. "ESS versus NVZ – The Cost-Effectiveness of Command-and-Control versus Agreement Based Policy Instruments," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108963, Agricultural Economics Society.
    11. Apland, Jeffrey & Grainger, Corbett & Strock, Jeffrey, 2004. "Modeling Agricultural Production Considering Water Quality and Risk," Staff Papers 14240, University of Minnesota, Department of Applied Economics.
    12. Sauer, Johannes & Walsh, John & Zilberman, David, 2012. "Producer Behaviour and Agri-Environmental Policies: A Directional Distance based Matching Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124877, Agricultural and Applied Economics Association.

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