Combining Actual And Contingent Behavior Data To Model Farmer Adoption Of Water Quality Protection Practices
Using farmer responses to contingent valuation method (CVM) survey data in combination with actual market data from four watershed regions in the United States, this study estimates the minimum incentives payments a farmer would accept in order to adopt more environmentally friendly Â“"best management practices"Â” (BMPs). Combining actual market data with the CVM data adds information to the analysis, thereby most likely increasing the reliability of the results compared to analyzing the contingent behavior survey response data only. Given the decision to adopt, the article also presents a pooled model for the number of acres enrolled in the BMPs as a function of the incentive payments. Adoption rates predicted with the combination data model are significantly higher over a wide range of offers than those predicted using the traditional discrete choice analysis with the hypothetical data only. Hence, using the traditional CVM analysis results to determine payments to attain a given level of adoption may result in overpayment.
Volume (Year): 22 (1997)
Issue (Month): 01 (July)
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- Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
- Cooper Joseph C., 1993. "Optimal Bid Selection for Dichotomous Choice Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 25-40, January.
- Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
- R. Craig Layman & John R. Boyce & Keith R. Criddle, 1996. "Economic Valuation of the Chinook Salmon Sport Fishery of the Gulkana River, Alaska, under Current and Alternate Management Plans," Land Economics, University of Wisconsin Press, vol. 72(1), pages 113-128.
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