An Incentive Compatible Self-Compliant Pollution Policy and Asymmetric Information on Both Risk Attitudes and Technology
Jeffrey M. Patterson and
Richard N. Boisvert
No 127318, Working Papers from Cornell University, Department of Applied Economics and Management
Abstract:
This paper develops an incentive compatible policy to control agricultural pollution, where the government knows the ranges of technology types and risk attitudes but not their distributions across farmers. The policy creates incentives for farmers to participate in the program, but includes constraints to ensure both self-selection of the appropriate policy, and self-compliance with the policy selected. Unknown risk attitudes are accommodated through stochastic efficiency rules. The model is applied empirically to estimate policies to limit nitrate contamination from New York agriculture. The estimated cost of such a program is not large compared to past commodity policies. Payments could be reduced if soils information is used to assign policies. Self-compliance is possible and does not impose a large cost on the government. If the policy were designed under risk neutrality, payments would be substantially below the incentive needed for participation by a risk averse farmer.
Keywords: Environmental Economics and Policy; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 41
Date: 2002-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/127318/files/Cornell_Dyson_wp0230.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:cudawp:127318
DOI: 10.22004/ag.econ.127318
Access Statistics for this paper
More papers in Working Papers from Cornell University, Department of Applied Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().