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Investigating distance effects on environmental values: A choice modelling approach

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  • Giovanni B. Concu

    (Risk and Sustainable Management Group, University of Queensland)

Abstract

This paper describes a Choice Modelling experiment set up to investigate the relationship between distance and willingness to pay for environmental quality changes. The issue is important for the estimation and transfer of benefits. So far the problem has been analysed through the use of Contingent Valuation-type of experiments, producing mixed results. The Choice Modelling experiment allows testing distance effects on parameters of environmental attributes that imply different trade-offs between use and non-use values. The sampling procedure is designed to provide a Ògeographically balancedÓ sample. Several specifications of the distance covariate are compared and distance effects are shown to take complex shapes. Welfare analysis also shows that disregarding distance produces under-estimation of individual and aggregated benefits and losses, seriously hindering the reliability of costbenefit analyses.

Suggested Citation

  • Giovanni B. Concu, 2005. "Investigating distance effects on environmental values: A choice modelling approach," Murray-Darling Program Working Papers WP7M05, Risk and Sustainable Management Group, University of Queensland.
  • Handle: RePEc:rsm:murray:m05_7
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    File URL: http://www.uq.edu.au/rsmg/WP/WPM05_7.pdf
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    Cited by:

    1. Rolfe, John & Windle, Jill, 2010. "Valuing environmental improvements in the Great Barrier Reef: Ecological and preference heterogeneity in local area case studies," Research Reports 95052, Australian National University, Environmental Economics Research Hub.
    2. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    3. 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.
    4. 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.
    5. 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).
    6. Meyerhoff, Jürgen, 2013. "Do turbines in the vicinity of respondents' residences influence choices among programmes for future wind power generation?," Journal of choice modelling, Elsevier, vol. 7(C), pages 58-71.
    7. Tait, Peter R. & Baskaran, Ramesh, 2011. "Incorporating Local Water Quality in Welfare Measures of Agri-environmental Policy: A Choice Modelling Approach Employing GIS," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116074, European Association of Agricultural Economists.
    8. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
    9. Choi, Andy S. & Lee, Choong-Ki & Tanaka, Katsuya & Xu, Honggang, 2018. "Value spillovers from the Korean DMZ areas and social desirability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 95-104.
    10. John Rolfe & Jill Windle, 2012. "Distance Decay Functions for Iconic Assets: Assessing National Values to Protect the Health of the Great Barrier Reef in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 347-365, November.
    11. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    12. Windle, Jill & Rolfe, John, 2013. "The limitations of applying benefit transfer to assess the value of ecosystem services in a “generic” peri-urban, coastal town in Australia," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152183, Australian Agricultural and Resource Economics Society.
    13. 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.
    14. Wiktor L. Adamowicz & Klaus Glenk & Jürgen Meyerhoff, 2014. "Choice modelling research in environmental and resource economics," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 27, pages 661-674, Edward Elgar Publishing.
    15. Khong, Tien Dung & Young, Michael D. & Loch, Adam & Thennakoon, Jayanthi, 2018. "Mekong River Delta farm-household willingness to pay for salinity intrusion risk reduction," Agricultural Water Management, Elsevier, vol. 200(C), pages 80-89.
    16. Schaafsma, Marije & Brouwer, Roy & Rose, John, 2012. "Directional heterogeneity in WTP models for environmental valuation," Ecological Economics, Elsevier, vol. 79(C), pages 21-31.
    17. 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.
    18. Roberto Ponce & Felipe Vásquez & Alejandra Stehr & Patrick Debels & Carlos Orihuela, 2011. "Estimating the Economic Value of Landscape Losses Due to Flooding by Hydropower Plants in the Chilean Patagonia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2449-2466, August.
    19. 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.
    20. 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.
    21. Rolfe, John & Windle, Jill, 2012. "Testing benefit transfer of reef protection values between local case studies: The Great Barrier Reef in Australia," Ecological Economics, Elsevier, vol. 81(C), pages 60-69.
    22. Samal Kaliyeva & Francisco Jose Areal & Yiorgos Gadanakis, 2021. "Would Kazakh Citizens Support a Milk Co-Operative System?," Agriculture, MDPI, vol. 11(7), pages 1-19, July.
    23. Tait, Peter & Baskaran, Ramesh & Cullen, Ross & Bicknell, Kathryn, 2012. "Nonmarket valuation of water quality: Addressing spatially heterogeneous preferences using GIS and a random parameter logit model," Ecological Economics, Elsevier, vol. 75(C), pages 15-21.
    24. Giovanni B Concu, 2009. "Measuring Environmental Externality Spillovers through Choice Modelling," Environment and Planning A, , vol. 41(1), pages 199-212, January.

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    More about this item

    Keywords

    choice Modelling techniques; distance; aggregation; sampling; functional forms.;
    All these keywords.

    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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