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Individualized Geocoding in Stated Preference Questionnaires: Implications for Survey Design and Welfare Estimation

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  • Robert J. Johnston
  • Benedict M. Holland
  • Liuyang Yao

Abstract

This paper evaluates the common practice of generic mapping in stated preference valuation, in which identical policy area maps are shown to all respondents. This is compared to a more information-intensive alternative in which individualized maps identify the location of each respondent’s home relative to policy effects. The evaluation is grounded in a theoretical model clarifying the impact of individualized spatial information on preferences for non-market outcomes. The model is illustrated using an application of choice experiments to riparian restoration in coastal Maine. Results characterize valuation contexts for which valid preference elicitation likely requires the provision of individualized spatial information.

Suggested Citation

  • Robert J. Johnston & Benedict M. Holland & Liuyang Yao, 2016. "Individualized Geocoding in Stated Preference Questionnaires: Implications for Survey Design and Welfare Estimation," Land Economics, University of Wisconsin Press, vol. 92(4), pages 737-759.
    • Handle: RePEc:uwp:landec:v:92:y:2016:i:4:p:737-759
    Note: DOI: 10.3368/le.92.4.737
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    Cited by:

    1. 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.
    2. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.
    3. Frontuto, Vito & Corsi, Alessandro & Novelli, Silvia & Gullino, Paola & Larcher, Federica, 2020. "The visual impact of agricultural sheds on rural landscapes: The willingness to pay for mitigation solutions and treatment effects," Land Use Policy, Elsevier, vol. 91(C).
    4. Robert J. Johnston & Tom Ndebele & David A. Newburn, 2023. "Modeling transaction costs in household adoption of landscape conservation practices," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 341-367, January.
    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. Alaya Spencer‐Cotton & Marit E. Kragt & Michael Burton, 2018. "Spatial and Scope Effects: Valuations of Coastal Management Practices," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 833-851, September.
    7. Ndebele, Tom & Johnston, Robert J. & Newburn, David, 2020. "Transaction Costs and Household Adoption of Stormwater Best Management Practices," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304338, Agricultural and Applied Economics Association.
    8. 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.
    9. Wainger, L. & Loomis, J. & Johnston, R. & Hansen, L. & Carlisle, D. & Lawrence, D. & Gollehon, N. & Duriancik, L. & Schwartz, G. & Ribaudo, M. & Gala, C., 2017. "Ecosystem Service Benefits Generated by Improved Water Quality from Conservation Practices," C-FARE Reports 260679, Council on Food, Agricultural, and Resource Economics (C-FARE).
    10. 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.

    More about this item

    JEL classification:

    • 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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