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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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    9. Robert J. Johnston & Ewa Zawojska, 2020. "Relative Versus Absolute Commodity Measurements in Benefit Transfer: Consequences for Validity and Reliability," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1245-1270, August.
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    14. Bockarjova, Marija & Botzen, Wouter J.W. & Koetse, Mark J., 2020. "Economic valuation of green and blue nature in cities: A meta-analysis," Ecological Economics, Elsevier, vol. 169(C).
    15. Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano, 2021. "Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities," Land Use Policy, Elsevier, vol. 101(C).
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    17. Emmanouil Tyllianakis & Lenka Fronkova & Paulette Posen & Tiziana Luisetti & Stephen Mangi Chai, 2020. "Mapping Ecosystem Services for Marine Planning: A UK Case Study," Resources, MDPI, vol. 9(4), pages 1-27, April.
    18. Arata, Linda & Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano & Sckokai, Paolo, 2021. "Willingness to pay for alternative features of land-use policies: the case of the lake Garda region," Land Use Policy, Elsevier, vol. 100(C).
    19. Poudel, Rajendra & Collins, Alan & Gazal, Kathryn & Wang, Jingxin, 2020. "Benefit transfer estimation of willingness-to-pay for U.S. wetlands conservation," Forest Policy and Economics, Elsevier, vol. 115(C).
    20. Stoeckl, Natalie & Dodd, Aaron & Kompas, Tom, 2023. "The monetary value of 16 services protected by the Australian National Biosecurity System: Spatially explicit estimates and vulnerability to incursions," Ecosystem Services, Elsevier, vol. 60(C).
    21. John Rolfe & Jill Windle & Kevin McCosker & Adam Northey, 2018. "Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 373-393, July.
    22. Robert J. Johnston & Ewa Zawojska, 2018. "Benefit Transfer and Commodity Measurement Scales: Consequences for Validity and Reliability," Working Papers 2018-26, Faculty of Economic Sciences, University of Warsaw.
    23. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    24. Gibson, Fiona & Pannell, David & Boxall, Peter & Burton, Michael & Johnston, Robert & Kragt, Marit & Rogers, Abbie & Rolfe, John, 2016. "Non-market valuation in the economic analysis of natural hazards," Working Papers 236941, University of Western Australia, School of Agricultural and Resource Economics.

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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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