Modeling Certainty-Adjusted Willingness to Pay for Ecosystem Service Improvement from Agriculture

dc.creatorMa, Shan
dc.creatorLupi, Frank
dc.creatorSwinton, Scott M.
dc.creatorChen, Huilan
dc.date2017-04-01T14:08:51Z
dc.date.accessioned2026-07-09T05:34:39Z
dc.descriptionThe public demand for ecosystem services measured by willingness to pay (WTP) in contingent valuation studies provides important information for designing Payment-for-Ecosystem-Service (PES) programs. However, the hypothetical markets for contingent valuation and respondents’ unfamiliarity with certain ecosystem services may increase their preference uncertainty, which may increase variance and even cause bias in WTP estimates. Taking advantage of a unique stated preference data set that includes a follow-up question rating the respondent’s certainty level, this study evaluates alternative methods of modeling certainty-adjusted WTP for cleaner lakes and abated global warming. Results suggest that the incorporation of self-reported uncertainty into binary choice models significantly reduces the median WTP and appears to improve our understanding of the demand for ecosystem services.
dc.identifierdoi:10.22004/ag.econ.103734
dc.identifierhttps://ageconsearch.umn.edu/record/103734/files/2011%20AAEA%20Paper%20MaLupiSwintonChen%2011aug1.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/103734
dc.identifier.urihttp://hdl.handle.net/123456789/565547
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/103734
dc.titleModeling Certainty-Adjusted Willingness to Pay for Ecosystem Service Improvement from Agriculture
dc.typeText

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