期刊
ECOLOGICAL ECONOMICS
卷 70, 期 12, 页码 2250-2257出版社
ELSEVIER
DOI: 10.1016/j.ecolecon.2011.07.011
关键词
Choice experiments ability to choose; Willingness to pay; Multinomial logit models; Bayesian modelling; Individual heterogeneity; Complex environmental goods; Biodiversity; Ecosystem; Services; Coastal defence
资金
- Defra
- Centre for Integrated Research in the Rural Environment (CIRRE) at Aberystwyth University
- Centre for Integrated Research in the Rural Environment (CIRRE) at Bangor University
Environmental valuation methods, such as choice experiments, are increasingly being used to value complex and often unfamiliar environmental goods. A potential risk is that some survey respondents may not be capable of developing and expressing preferences for such goods. The noise from these individuals may then conceal the well-defined preferences of other respondents and affect valuation estimates. We address this problem by estimating a range of models that accounts for scale heterogeneity (which we interpret as a respondent's ability to choose: ATC) and taste heterogeneity. These models are applied to two case studies: amenity from coastal defence and biodiversity. In both case studies, model fit was improved in a scale-heterogeneity multinomial-logit (S-MNL) model (compared to a standard MNL model) suggesting the accounting for ATC (scale heterogeneity) improved preference revelation. A mixed multinomial-logit (MIXL) model outperformed the S-MNL model suggesting that accounting for taste heterogeneity was also important. However, a generalised multinomial-logit (G-MNL) model improved model fit over the MIXL model only for the biodiversity data suggesting that for these data both taste heterogeneity and ATC were important. We conclude that accounting for ATC can improve the reliability and robustness of the results when valuing complex or unfamiliar environmental goods. (C) 2011 Elsevier B.V. All rights reserved.
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