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Testing the Influence of Substitute Sites in Nature Valuation by Using Spatial Discounting Factors

Author

Listed:
  • Jeremy Valck

    (KU Leuven
    Flemish Institute for Technological Research VITO)

  • Steven Broekx

    (Flemish Institute for Technological Research VITO)

  • Inge Liekens

    (Flemish Institute for Technological Research VITO)

  • Joris Aertsens

    (Flemish Institute for Technological Research VITO)

  • Liesbet Vranken

    (KU Leuven)

Abstract

This paper investigates the effect of nearby nature substitute sites on preferences for nature restoration. Contrary to prior studies, we use a respondent-centric approach to control for substitute sites. We assess each respondent-specific spatial context by computing densities of nature substitute sites within various ranges from each respondent’s home. This approach considers the use and non-use values of nature together. Data from three similar discrete choice experiments carried out in Flanders (Belgium) are compared. Different spatial discounting factors are tested to explore how the substitution effect behaves with regard to distance. Latent class analyses are performed to account for preference heterogeneity among respondents. We observe divergent behaviours across groups of respondents. The “distance-to-substitutes” affects how respondents gauge substitute sites. We find a significant influence of the squared average buffer distance but this effect varies in sign across case studies and classes of respondents. Our results demonstrate that individual-specific GIS data can significantly improve the representation of the spatial context and the transferability of value functions. However, the roles played by preference heterogeneity and nature perception on respondents’ capacity to value nature still deserves further attention in future research.

Suggested Citation

  • Jeremy Valck & Steven Broekx & Inge Liekens & Joris Aertsens & Liesbet Vranken, 2017. "Testing the Influence of Substitute Sites in Nature Valuation by Using Spatial Discounting Factors," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(1), pages 17-43, January.
  • Handle: RePEc:kap:enreec:v:66:y:2017:i:1:d:10.1007_s10640-015-9930-0
    DOI: 10.1007/s10640-015-9930-0
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    Cited by:

    1. Robert J. Johnston & Elena Y. Besedin & Benedict M. Holland, 2019. "Modeling Distance Decay Within Valuation Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 657-690, March.
    2. Joffre Swait & Cristiano Franceschinis & Mara Thiene, 2020. "Antecedent Volition and Spatial Effects: Can Multiple Goal Pursuit Mitigate Distance Decay?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 243-270, February.
    3. Day, Brett & Bateman, Ian & Binner, Amy & Ferrini, Silvia & Fezzi, Carlo, 2019. "Structurally-consistent estimation of use and nonuse values for landscape-wide environmental change," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    4. Valeria M. Toledo‐Gallegos & Jed Long & Danny Campbell & Tobias Börger & Nick Hanley, 2021. "Spatial clustering of willingness to pay for ecosystem services," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 673-697, September.
    5. Holland, Benedict M. & Johnston, Robert J., 2017. "Optimized quantity-within-distance models of spatial welfare heterogeneity," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 110-129.
    6. Søren B. Olsen & Cathrine U. Jensen & Toke E. Panduro, 2020. "Modelling Strategies for Discontinuous Distance Decay in Willingness to Pay for Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 351-386, February.
    7. Tomas Badura & Silvia Ferrini & Michael Burton & Amy Binner & Ian J. Bateman, 2020. "Using Individualised Choice Maps to Capture the Spatial Dimensions of Value Within Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 297-322, February.
    8. Artell, Janne & Ahtiainen, Heini & Pouta, Eija, 2019. "Distance decay and regional statistics in international benefit transfer," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    9. Yamaguchi, Rintaro & Shah, Payal, 2020. "Spatial discounting of ecosystem services," Resource and Energy Economics, Elsevier, vol. 62(C).

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    More about this item

    Keywords

    Benefit transfer; Discrete choice experiment; Ecosystem services; GIS; Latent class; Nature; Non-market valuation; Spatial; Substitute;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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