著者

吉田 謙太郎

出版者

日本農業経済学会

雑誌

農業経済研究 (ISSN:03873234)

巻号頁・発行日

vol.72, no.3, pp.122-130, 2000-12-25 (Released:2016-10-06)

参考文献数

33

被引用文献数

1

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The purpose of this study is to assess the convergent validity of environmental benefit estimates within a framework of benefit transfer. Benefit transfer is the process to predict a benefit estimate of a new policy site by using benefit estimates or benefit functions of existing studies. If benefit estimates at the policy and study site are not statistically different, the convergent validity of benefit transfer is presumed. Benefit transfer is also an attractive procedure when a policy maker conducts a benefit-cost analysis within the limits of tight budgetary appropriation. In this study, meta-analytic transfer and benefit function transfer were employed to test the convergent validity. Although several off-the-shelf contingent valuation studies on agricultural landscapes and rural amenities were collected, 11 were usable for the meta-analytic transfer and 6 for the benefit function transfer. It was empirically shown that percentage errors resulting from meta-analytic transfers by policy site data were in the range of 1 to 26%. On the other hand, percentage errors resulting from benefit function transfers by policy site data were in the range of 3 to 45%. It can be said that both meta-analytic transfer and benefit function transfer are likely to generate accurate benefit estimates in terms of percentage error. Besides comparative analyses of percentage error, convergent validity was also tested to learn if the estimate from benefit function transfer lied within the confidence interval over the original estimate and vice versa. As a consequence of the hypothesis test, 67% (8 of 12) of the tests rejected the convergent validity of benefit function transfers.