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Regulating Nitrogen Pollution with Risk Averse Farmers under Hidden Information and Moral Hazard

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  • Philippe Bontems
  • Alban Thomas

Abstract

We consider a model of pollution regulation for a risk averse farmer involving hidden information, moral hazard, and risk-sharing. The representative farmer faces a production risk originating from nitrogen leaching, and privately observes the soil capacity in retaining nitrogen only after the regulation contract is signed. The latter specifies a transfer and a nitrogen quota, whose decomposition by the farmer among different production stages is unknown to the regulator. We first characterize the optimal solution to the regulator's problem. The sequential decision model is estimated on French crop production data, and the results are used to calibrate and simulate the optimal contract. Copyright 2006, Oxford University Press.

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  • Philippe Bontems & Alban Thomas, 2006. "Regulating Nitrogen Pollution with Risk Averse Farmers under Hidden Information and Moral Hazard," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 57-72.
    • Handle: RePEc:oup:ajagec:v:88:y:2006:i:1:p:57-72
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2006.00838.x
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    Cited by:

    1. Mason, Charles F. & Plantinga, Andrew J., 2013. "The additionality problem with offsets: Optimal contracts for carbon sequestration in forests," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 1-14.
    2. Pan Wang & Di Liu, 2023. "Why Are Farmers Reluctant to Sell: Evidence from Rural China," Agriculture, MDPI, vol. 13(4), pages 1-12, March.
    3. Nurmakhanova, Mira, 2008. "Essays on fall fertilizer application," ISU General Staff Papers 2008010108000016739, Iowa State University, Department of Economics.
    4. Li, Xiaogu & Zipp, Katherine Y. & Shortle, James S., 2018. "Factors Affecting Farmers Adoptions of Flexible Riparian Buffers," 2018 Annual Meeting, August 5-7, Washington, D.C. 274007, Agricultural and Applied Economics Association.
    5. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    6. Holden, S.T. & Quiggin, J., 2018. "Probability Weighting and Fertilizer Use in a State-Contingent Framework," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277355, International Association of Agricultural Economists.
    7. Holden , Stein T. & Quiggin, John, 2017. "Probability Weighting and Input Use Intensity in a State-Contingent Framework," CLTS Working Papers 8/17, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 21 Oct 2019.
    8. Reeling, Carson J. & Gramig, Benjamin M., 2011. "Using Carbon Offsets to Fund Agricultural Conservation Practices in a Working-Lands Setting," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103577, Agricultural and Applied Economics Association.
    9. Ruishi Si & Xueqian Zhang & Yumeng Yao & Qian Lu, 2022. "Risk Preference, Health Risk Perception, and Environmental Exposure Nexus: Evidence from Rural Women as Pig Breeders, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 151-178, July.
    10. Signe Anthon & Serge Garcia & Anne Stenger, 2006. "Incentive Contracts for Natura 2000 Implementation: A Mixed Model of Adverse Selection and Moral Hazard," Working Papers - Cahiers du LEF 2006-06, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    11. Parsons, Oliver, 2012. "Community Governance: An Alternative Approach to Regulation and Market Mechanisms for Management of Nitrogen Loss," 2012 Conference, August 31, 2012, Nelson, New Zealand 136053, New Zealand Agricultural and Resource Economics Society.
    12. Reynaud, Arnaud, 2009. "Adaptation à court et à long terme de l'agriculture au risque de sécheresse : une approche par couplage de modèles biophysiques et économiques," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(2).

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