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Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements

Author

Listed:
  • Danny Campbell

    (Queen’s University Belfast)

  • W. George Hutchinson

    (Queen’s University Belfast)

  • Riccardo Scarpa

    (University of Waikato)

Abstract

We report findings from a choice experiment survey designed to estimate the economic benefits from policy measures which improve the rural landscape under an agri-environment scheme in the Republic of Ireland. Using a panel mixed logit specification to account for unobserved taste heterogeneity we derive individual- specific willingness to pay estimates for each respondent in the sample. We subsequently investigate the existence of spatial dependence of these estimates. Results suggest the existence of positive spatial autocorrelation for all rural landscape attributes. As a means of benefit transfer, kriging methods are employed to interpolate willingness to pay estimates across the whole of the Republic of Ireland. The kriged WTP surfaces confirm the existence of spatial dependence and illustrate the implied spatial variation and regional disparities in WTP for all the rural landscape improvements.

Suggested Citation

  • Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2007. "Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements," Working Papers in Economics 07/06, University of Waikato.
    • Handle: RePEc:wai:econwp:07/06
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    1. Schkade David A. & Payne John W., 1994. "How People Respond to Contingent Valuation Questions: A Verbal Protocol Analysis of Willingness to Pay for an Environmental Regulation," Journal of Environmental Economics and Management, Elsevier, vol. 26(1), pages 88-109, January.
    2. Troy, Austin & Wilson, Matthew A., 2006. "Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer," Ecological Economics, Elsevier, vol. 60(2), pages 435-449, December.
    3. Bateman, Ian J. & Day, Brett H. & Georgiou, Stavros & Lake, Iain, 2006. "The aggregation of environmental benefit values: Welfare measures, distance decay and total WTP," Ecological Economics, Elsevier, vol. 60(2), pages 450-460, December.
    4. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    5. Stephane Hess & John Polak, 2003. "An alternative method to the scrambled Halton sequence for removing correlation between standard Halton sequences in high dimensions," ERSA conference papers ersa03p406, European Regional Science Association.
    6. David A Hensher & William H Greene & John M Rose, 2006. "Deriving Willingness-to-Pay Estimates of Travel-Time Savings from Individual-Based Parameters," Environment and Planning A, , vol. 38(12), pages 2365-2376, December.
    7. Luc Anselin & Julie Le Gallo, 2006. "Interpolation of air quality measures in hedonic house price models : spatial aspects," Post-Print hal-00485017, HAL.
    8. Ian J. Bateman & Christine Ennew & Andrew A. Lovett & Anthony J. Rayner, 1999. "Modelling and Mapping Agricultural Output Values Using Farm Specific Details and Environmental Databases," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 488-511, September.
    9. Ian J. Bateman & Roy Brouwer & Helen Davies & Brett H. Day & Amelie Deflandre & Salvatore Di Falco & Stavros Georgiou & David Hadley & Michael Hutchins & Andrew P. Jones & David Kay & Graham Leeks & M, 2006. "Analysing the Agricultural Costs and Non‐market Benefits of Implementing the Water Framework Directive," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(2), pages 221-237, July.
    10. Pate, Jennifer & Loomis, John, 1997. "The effect of distance on willingness to pay values: a case study of wetlands and salmon in California," Ecological Economics, Elsevier, vol. 20(3), pages 199-207, March.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    13. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    14. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    15. Nancy E. Bockstael, 1996. "Modeling Economics and Ecology: The Importance of a Spatial Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1168-1180.
    16. Robin Naidoo & Taylor H Ricketts, 2006. "Mapping the Economic Costs and Benefits of Conservation," PLOS Biology, Public Library of Science, vol. 4(11), pages 1-12, October.
    17. Danny Campbell, 2007. "Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 467-483, September.
    18. Mauricio Sillano & Juan de Dios Ortúzar, 2005. "Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence," Environment and Planning A, , vol. 37(3), pages 525-550, March.
    19. Geoghegan, Jacqueline & Wainger, Lisa A. & Bockstael, Nancy E., 1997. "Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS," Ecological Economics, Elsevier, vol. 23(3), pages 251-264, December.
    20. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    21. I.J. Bateman & A.P. Jones & A.A. Lovett & I.R. Lake & B.H. Day, 2002. "Applying Geographical Information Systems (GIS) to Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 219-269, June.
    22. Nick Hanley & Douglas MacMillan & Robert E. Wright & Craig Bullock & Ian Simpson & Dave Parsisson & Bob Crabtree, 1998. "Contingent Valuation Versus Choice Experiments: Estimating the Benefits of Environmentally Sensitive Areas in Scotland," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 1-15, March.
    23. Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
    24. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
    25. Robert J. Johnston & RStephen K. Swallow & Dana Marie Bauer, 2002. "Spatial Factors and Stated Preference Values for Public Goods: Considerations for Rural Land Use," Land Economics, University of Wisconsin Press, vol. 78(4), pages 481-500.
    26. Guy D. Garrod & Riccardo Scarpa & Kenneth G. Willis, 2002. "Estimating the Benefits of Traffic Calming on Through Routes: A Choice Experiment Approach," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 211-231, May.
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    More about this item

    Keywords

    landscape valuation; spatial distribution; choice experiments; non-market valuation;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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