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Are non-use values distance-independent? Identifying the market area using a choice modelling experiment

Author

Listed:
  • Giovanni B. Concu

    (Risk and Sustainable Management Group, University of Queensland)

Abstract

This article tests for the effect of distance on non-use values using a Choice Modelling (CM) experiment. Estimating a distance decay relationship for non-use values (NUVs) is important because it would define the market area for an environmental good, i.e. identify the limits for aggregating individual benefit estimates. In contrast to the common definition of NUVs as non-usersÕ values, the CM experiment designs the environmental attributes so that NUV changes can be disentangled from Use Value (UV) changes. The experiment also allows for testing different specification of the distance covariates. Data are obtained from a geographically representative sample. Results show that NUVs do not depend on distance. Aggregation of NUVs is based on income and individualsÕ environmental attitudes.

Suggested Citation

  • Giovanni B. Concu, 2005. "Are non-use values distance-independent? Identifying the market area using a choice modelling experiment," Murray-Darling Program Working Papers WP6M05, Risk and Sustainable Management Group, University of Queensland.
    • Handle: RePEc:rsm:murray:m05_6
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    File URL: http://www.uq.edu.au/rsmg/WP/WPM05_6.pdf
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    Cited by:

    1. De Valck, Jeremy & Broekx, Steven & Liekens, Inge & Aertsens, Joris & Vranken, Liesbet, 2014. "Testing the influence of substitutes in nature valuation by using spatial discounting factors," Working Papers 182808, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    2. Schaafsma, Marije & Brouwer, Roy & Rose, John, 2012. "Directional heterogeneity in WTP models for environmental valuation," Ecological Economics, Elsevier, vol. 79(C), pages 21-31.
    3. 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.

    More about this item

    Keywords

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    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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