An empirical study on valuing natural resources economic values using benefit transfer method

Ling Zhao, Erda Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the recent years benefit transfer method has become a hot research area in the evaluation of non-market natural resources. Amide a variety of adopted research methodologies,Meta-regression benefit transfer method has become a mostly used one.In this paper, a large dataset based on the empirical non-market valuation study results reported in the United States was analyzed. This dataset is used to estimate a meta-regression model that was used to predict the corresponding recreation resources and activities values in China. The convergent validity of the meta-analytic international benefit transfer is tested against the observed recreation activity values in China. In the process, a relative percentage error indicator, paired t-test, and the Wilcoxon Signed Rank test are used. The mean benefit transfer error is 18.74%, an acceptable value for international transfer. These results suggest that the international benefit transfer could be reliably used in valuing outdoor recreational activities in China.

Original languageEnglish
Title of host publicationEnvironment Science and Materials Engineering
Pages1017-1021
Number of pages5
DOIs
Publication statusPublished - Nov 26 2012
Event2012 International Conference on Environment Materials and Environment Management, EMEM 2012 - Wuhan, China
Duration: Aug 4 2012Aug 4 2012

Publication series

NameAdvanced Materials Research
Volume573-574
ISSN (Print)1022-6680

Other

Other2012 International Conference on Environment Materials and Environment Management, EMEM 2012
CountryChina
CityWuhan
Period8/4/128/4/12

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Zhao, L., & Wang, E. (2012). An empirical study on valuing natural resources economic values using benefit transfer method. In Environment Science and Materials Engineering (pp. 1017-1021). (Advanced Materials Research; Vol. 573-574). https://doi.org/10.4028/www.scientific.net/AMR.573-574.1017