Three essays on meta-analysis, benefit transfer, and recreation use valuation Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/db78tf13t

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  • This dissertation consists of three essays on meta-analysis, benefit transfer and recreation use valuation. The first two essays were based on the sportsfishing valuation literature in the US and Canada while the third essay was based on a study site in the Philippines and selected study sites from the US. The first essay evaluates the aggregation structure of primary research studies and its implications for benefit transfer using meta-regression analysis. Results indicate that single-site and regional studies should not be pooled without accounting for their differences in a metaanalysis. The second essay examines the implications of addressing dependency in the sportsfishing valuation literature using meta-regression analysis. Results indicate that median absolute percentage transfer error is lower for the meta-regression models based on a single value, i.e. average-set and best-set metadata than the meta-regression models based on all-set. The average-set and best-set are two treatments of the metadata for avoiding dependency. The third essay applies the methodological treatments learned from the first two essays to estimate the recreational value via benefit transfer of Taal Volcano Protected Landscape in the Philippines. Results show that single point estimate transfer worked better than the meta-regression benefit function transfer. Recommendations based from the three essays include: 1) the need to account for aggregation differences among primary studies to minimize biased value estimates in benefit transfer depending on policy settings; 2) the importance to correct for dependency and other methodological pitfalls in meta-regression is always warranted; 3) metadata sample selection is best guided by the goals of the metaanalysis and perceived allowable errors in benefit transfer applications; and 4) the conduct of primary study is still the first best strategy to recreation use valuation, given time and resources.
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