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A nonparametric random effects model for the valuation of forest recreation services: An application to forest sites in Tuscany, Italy

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  • Pellegrini, Andrea
  • Lombardi, Ginevra Virginia
  • Scarpa, Riccardo
  • Rose, John M.

Abstract

This study assesses individuals' preferences for the use of forest sites for recreational purposes by means of the logit-mixed logit (LML) model. The appeal of the LML is that the analyst does not need to assume any specific functional form for the mixing distributions of random preferences. The empirical analysis generates a data-driven nonparametric representation of individuals' preference heterogeneity. We apply this approach to data collected using an unlabelled discrete choice experiment (DCE), consisting of three recreational options, two of which are in two hypothetical forest sites. Forest destinations are described by means of six attributes: forest type, signposting, hiking time, access to rivers or lakes, wildlife watch hides for visitors and cost of access. The empirical findings reveal that the signpost for each trail is the attribute for which respondents are on average willing to pay the most (6.565€). Further evidence suggests that respondents have strong positive preferences for those forest sites that offer amenities such as wildlife watching hides and access to rivers or lakes. Finally, the histograms derived from the semi-parametric LML estimation reveal multimodality of random taste amongst respondents for different hypothetical forest sites.

Suggested Citation

  • Pellegrini, Andrea & Lombardi, Ginevra Virginia & Scarpa, Riccardo & Rose, John M., 2024. "A nonparametric random effects model for the valuation of forest recreation services: An application to forest sites in Tuscany, Italy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(02), January.
  • Handle: RePEc:ags:aareaj:343078
    DOI: 10.22004/ag.econ.343078
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    References listed on IDEAS

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    1. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    2. Bazzani, Claudia & Palma, Marco A. & Nayga, Rodolfo M., Jr., 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
    3. Boxall, Peter C. & Adamowicz, Wiktor L. & Moon, Amanda, 2009. "Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    4. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    5. Boncinelli, Fabio & Riccioli, Francesco & Marone, Enrico, 2015. "Do forests help to keep my body mass index low?," Forest Policy and Economics, Elsevier, vol. 54(C), pages 11-17.
    6. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    7. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    8. Brey, Raul & Riera, Pere & Mogas, Joan, 2007. "Estimation of forest values using choice modeling: An application to Spanish forests," Ecological Economics, Elsevier, vol. 64(2), pages 305-312, December.
    9. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
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