A Bayesian quantile binary regression approach to estimate payments for environmental services. (24th November 2016)

• Record Type: Journal Article
• Authors: Lavín, Felipe Vásquez; Flores, Ricardo; Ibarnegaray, Verónica
• Is Part Of: Environment and development economics. Volume 22:Number 2(2017:Apr.)
• Page Start: 156
• Page End: 176
• Publication Date: 2016-11-24
• Subjects: Economic development -- Environmental aspects; 330.9
• DOI: 10.1017/S1355770X16000255
• Languages: English
• ISSNs: 1355-770X

Abstract

Abstract: Stated preference approaches, such as contingent valuation, focus mainly on the estimation of the mean or median willingness to pay (WTP) for an environmental good. Nevertheless, these two welfare measures may not be appropriate when there are social and political concerns associated with implementing a payment for environmental services (PES) scheme. In this paper the authors used a Bayesian estimation approach to estimate a quantile binary regression and the WTP distribution in the context of a contingent valuation PES application. Our results show that the use of other quantiles framed in the supermajority concept provides a reasonable interpretation of the technical nonmarket valuation studies in the PES area. We found that the values of the mean WTP are 10–37 times higher than the value that would support a supermajority of 70 per cent of the population.