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Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation

Author

Listed:
  • Luke Fitzpatrick

    (Department of Economics, University of Miami)

  • Christopher F. Parmeter

    (Department of Economics, University of Miami)

  • Juan Agar

    (NOAA, National Marine Fisheries Service)

Abstract

Policymakers and advocates alike often turn to benefit transfers to estimate the economic value of environmental amenities when primary valuation studies are infeasible. Coral reef ecosystems, among the most biologically diverse and productive ecosystems on the planet, are an amenity for which benefit transfers are particularly helpful. Meta analyses, which synthesize site and methodological characteristics from many different studies, can improve upon traditional site-to-site transfers. We build on previous research on meta analysis by introducing threshold effects. We find that a threshold in reef quality exists: users of coral reefs place a higher value on improvements in live coral cover on degraded reefs than on healthy ones. Relaxing the assumption of users' constant valuation across the distribution of this characteristic improves the performance of coral reef benefit transfers. Tests of convergent validity reveal that including the threshold effect reduces the variability and magnitude of transfer errors in some experiments.

Suggested Citation

  • Luke Fitzpatrick & Christopher F. Parmeter & Juan Agar, 2016. "Threshold Effects in Meta Analyses with Application to Benefit Transfer for Coral Reef Valuation," Working Papers 2016-03, University of Miami, Department of Economics.
  • Handle: RePEc:mia:wpaper:2016-03
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    References listed on IDEAS

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    18. Shrestha, Ram K. & Loomis, John B., 2001. "Testing a meta-analysis model for benefit transfer in international outdoor recreation," Ecological Economics, Elsevier, vol. 39(1), pages 67-83, October.
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    21. Van Houtven, George & Powers, John & Pattanayak, Subhrendu K., 2007. "Valuing water quality improvements in the United States using meta-analysis: Is the glass half-full or half-empty for national policy analysis?," Resource and Energy Economics, Elsevier, vol. 29(3), pages 206-228, September.
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    26. Robert J. Johnston & Elena Y. Besedin & Richard Iovanna & Christopher J. Miller & Ryan F. Wardwell & Matthew H. Ranson, 2005. "Systematic Variation in Willingness to Pay for Aquatic Resource Improvements and Implications for Benefit Transfer: A Meta‐Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(2‐3), pages 221-248, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Carlo Fezzi & Mauro Derek J. Ford & Kirsten L.L. Oleson, 2022. "The economic value of coral reefs: climate change impacts and spatial targeting of restoration measures," DEM Working Papers 2022/5, Department of Economics and Management.
    2. Dennis Guignet & Matthew T. Heberling & Michael Papenfus & Olivia Griot, 2022. "Property Values, Water Quality, and Benefit Transfer: A Nationwide Meta-analysis," Land Economics, University of Wisconsin Press, vol. 98(2), pages 191-218.
    3. Kevin J. Boyle & Christopher F. Parmeter, 2017. "Benefit Transfer for Ecosystem Services," Working Papers 2017-07, University of Miami, Department of Economics.
    4. 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).
    5. Ngoc, Quach Thi Khanh, 2019. "Assessing the value of coral reefs in the face of climate change: The evidence from Nha Trang Bay, Vietnam," Ecosystem Services, Elsevier, vol. 35(C), pages 99-108.
    6. 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).
    7. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    8. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    9. Schägner, Jan Philipp & Brander, Luke & Paracchini, Maria Luisa & Maes, Joachim & Gollnow, Florian & Bertzky, Bastian, 2018. "Spatial dimensions of recreational ecosystem service values: A review of meta-analyses and a combination of meta-analytic value-transfer and GIS," Ecosystem Services, Elsevier, vol. 31(PC), pages 395-409.
    10. Fezzi, Carlo & Ford, Derek J. & Oleson, Kirsten L.L., 2023. "The economic value of coral reefs: Climate change impacts and spatial targeting of restoration measures," Ecological Economics, Elsevier, vol. 203(C).

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    More about this item

    Keywords

    Policymakers and advocates alike often turn to benefit transfers to estimate the economic value of environmental amenities when primary valuation studies are infeasible. Coral reef ecosystems; among the most biologically diverse and productive ecosystems on the planet; are an amenity for which benefit transfers are particularly helpful. Meta analyses; which synthesize site and methodological characteristics from many different studies; can improve upon traditional site-to-site transfers. We build on previous research on meta analysis by introducing threshold effects. We find that a threshold in reef quality exists: users of coral reefs place a higher value on improvements in live coral cover on degraded reefs than on healthy ones. Relaxing the assumption of users' constant valuation across the distribution of this characteristic improves the performance of coral reef benefit transfers. Tests of convergent validity reveal that including the threshold effect reduces the variability and magnitude of transfer errors in some experiments. Publication Status: Under Review;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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