Abstract
This chapter reviews the key reasons for using meta-analysis for benefit transfer and provides an illustrative case study application. The case study involves a meta-analysis of values for improved river health in Australia from 2000 to 2009. To minimize potential problems of commensurability and methodology, we restrict the analysis to consider only values drawn from choice experiments . Different measures and scales of river health across studies were reconciled by transforming implicit prices into a comparable standard of willingness to pay (WTP) per kilometer of river in good health. Ordinary least squares and random effects meta-regression models were used to identify systematic relationships between the dependent variable (WTP/km) and explanatory variables characterizing sites, populations, affected resources, and primary study methodology. The case study illustrates both advantages and challenges involved in the application of meta-analysis to benefit transfer.
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Notes
- 1.
The data sourced for the MA have been described in more detail in Rolfe and Brouwer (2013).
- 2.
Many studies included this information as part of the framing to survey respondents. Where the information was not included in studies, the data was sourced from Norris et al. (2001).
- 3.
This result has to be treated with caution, as this was a characteristic of only one study (Morrison and Bennett 2004), and may be driven by other study characteristics.
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Acknowledgments
Thanks go to Jeff Bennett, Russell Blamey, Mark Morrison and Jill Windle for helping to provide relevant data for the meta-analysis. The time for Roy Brouwer to assemble the data was funded by the CSIRO National Research Flagship Water for a Healthy Country.
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Rolfe, J., Brouwer, R., Johnston, R.J. (2015). Meta-analysis: Rationale, Issues and Applications. In: Johnston, R., Rolfe, J., Rosenberger, R., Brouwer, R. (eds) Benefit Transfer of Environmental and Resource Values. The Economics of Non-Market Goods and Resources, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9930-0_16
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