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Using Meta-Analysis for Large-Scale Ecosystem Service Valuation: Progress, Prospects, and Challenges

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  • Johnston, Robert J.
  • Bauer, Dana Marie

Abstract

This article discusses prospects and challenges related to the use of meta-regression models (MRMs) for ecosystem service benefit transfer, with an emphasis on validity criteria and post-estimation procedures given sparse attention in the ecosystem services literature. We illustrate these topics using a meta-analysis of willingness to pay for water quality changes that support aquatic ecosystem services and the application of this model to estimate water quality benefits under alternative riparian buffer restoration scenarios in New Hampshire's Great Bay Watershed. These illustrations highlight the advantages of MRM benefit transfers, together with the challenges and data needs encountered when quantifying ecosystem service values.

Suggested Citation

  • Johnston, Robert J. & Bauer, Dana Marie, 2020. "Using Meta-Analysis for Large-Scale Ecosystem Service Valuation: Progress, Prospects, and Challenges," Agricultural and Resource Economics Review, Cambridge University Press, vol. 49(1), pages 23-63, April.
    • Handle: RePEc:cup:agrerw:v:49:y:2020:i:1:p:23-63_3
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    Cited by:

    1. Frey, Gregory E. & Kallayanamitra, Chalisa & Wilkens, Philadelphia & James, Natasha A., 2021. "Payments for forest-based ecosystem services in the United States: Magnitudes and trends," Ecosystem Services, Elsevier, vol. 52(C).
    2. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    3. V Kerry Smith & W. Douglass Shaw & Michael P. Welsh & Chris Dixon & Lisa Donald, 2022. "A New Strategy for Benefits Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 155-178, January.
    4. Jens Abildtrup & Anne Stenger, 2022. "Report on valuation methods," Working Papers hal-04068881, HAL.

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