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Estimating Ancillary Benefits of GHG Reduction Using Contingent Valuation Method  

Kim, Chung-Sil (Dept. of Agric. Economics, Kyungpook National Univ.)
Lee, Sang-Ho (Dept. of Agric. Economics, Sunchon National Univ.)
Jung, Sang-Ok (Dept. of Agric. Civil Engineering, Kyungpook National Univ.)
Yeo, Jun-Ho (Dept. of Agric. Economics, Kyungpook National Univ.)
Lee, Sun-Seok (Dept. of Agric. Economics, Kyungpook National Univ.)
Publication Information
Journal of agriculture & life science / v.44, no.3, 2010 , pp. 89-97 More about this Journal
Abstract
In the contingent valuation method (CVM) survey, we employed double-bounded discrete choice (DBDC) question to investigate the willingness to pay (WTP). The estimation results for the bivariate logit model show that respondents are willing to pay 329,256 won per year. The model with covariate variables suggests that the covariate effects help describe behavioral or preference tendencies. Double-bounded models increase efficiency over single dichotomous choice models, because the answers yes-no or no-yes yield clear bounds on WTP.
Keywords
Ancillary Benefit; Contingent Valuation Method; Willingness to Pay;
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