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Enhanced Geospatial Validity for Meta-analysis and Environmental Benefit Transfer: An Application to Water Quality Improvements

Author

Listed:
  • Robert J. Johnston

    (Clark University)

  • Elena Y. Besedin

    (Abt Associates Inc.)

  • Ryan Stapler

    (Athenahealth)

Abstract

Meta-regression models are commonly used within benefit transfer to estimate willingness to pay (WTP) for environmental quality improvements. Theory suggests that these estimates should be sensitive to geospatial factors including resource scale, market extent, and the availability of substitutes and complements. Valuation meta-regression models addressing the quantity of non-market commodities sometimes incorporate spatial variables that proxy for a subset of these effects. However, meta-analyses of WTP for environmental quality generally omit geospatial factors such as these, leading to benefit transfers that are invariant to these factors. This paper reports on a meta-regression model for water quality benefit transfer that incorporates spatially explicit factors predicted by theory to influence WTP. The metadata are drawn from stated preference studies that estimate per household WTP for water quality changes in United States water bodies, and combine primary study information with extensive geospatial data from external sources. Results find that geospatial variables are associated with significant WTP variations as predicted by theory, and that inclusion of these variables reduces transfer errors.

Suggested Citation

  • Robert J. Johnston & Elena Y. Besedin & Ryan Stapler, 2017. "Enhanced Geospatial Validity for Meta-analysis and Environmental Benefit Transfer: An Application to Water Quality Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 343-375, October.
    • Handle: RePEc:kap:enreec:v:68:y:2017:i:2:d:10.1007_s10640-016-0021-7
    DOI: 10.1007/s10640-016-0021-7
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    13. Juan F. Velasco-Munoz & José A. Aznar-Sánchez & Marina Schoenemann & Belén López-Felices, 2022. "The economic valuation of ecosystem services: bibliometric analysis," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 977-1014, December.
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    16. Marvin Schütt, 2021. "Systematic Variation in Waste Site Effects on Residential Property Values: A Meta-Regression Analysis and Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(3), pages 381-416, March.
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    More about this item

    Keywords

    Non-market valuation; Benefit function transfer; Meta-analysis; Spatial; Willingness to pay; Nonuse value; Ecosystem service;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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