Benefit transfer is increasingly being used by decision makers as a way of estimating environmental values suitable for use in benefit cost analysis. However, recent studies examining the validity of benefit transfer of passive use values estimated using contingent valuation have rejected the hypothesis of convergent validity. In this article, we demonstrate the usage of a form of conjoint analysis known as choice modeling for benefit transfer. Choice modeling has been touted as being particularly suitable for benefit transfer because it is possible to allow for differences in environmental quality and socioeconomic characteristics when transferring benefit estimates. We demonstrate that choice modeling is suitable for benefit transfer, particularly when the transfers involve implicit prices. Second, we examine the circumstances in which benefit transfer of choice modeling derived value estimates is likely to be most valid. Two split sample tests were undertaken to achieve this objective. The evidence from these tests indicates that transfers across different case study sites are likely to be subject to less error than those across different populations. Copyright 2002, Oxford University Press.
The results from seven choice modelling applications designed to value improved river health in New South Wales are reported. These applications were designed to provide value estimates that could be used, through benefit transfer, to value improvements in the health of other rivers within the state. Because of limitations on the number of rivers that could be valued and populations sampled, a pooled model for use in benefit transfer was also estimated. The results indicate that both use and non-use values were found to exist for all catchments. In addition, value estimates were found to differ across catchments when populations resident within catchments were sampled. However, when populations resident outside catchments were sampled for two of these catchments, value estimates were found to be statistically similar. This indicates the importance of valuing improved river health in specific catchments by sampling populations within catchments. Yet, it also indicates that it is less critical to conduct multiple surveys of residents outside catchments to value improved river health.
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