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Environmental diversity in recreational choice modelling

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  • Angel Bujosa Bestard

    (Centre de Recerca Econòmica (UIB · Sa Nostra))

  • Antoni Riera Font

    (Centre de Recerca Econòmica (UIB · Sa Nostra))

Abstract

The accuracy of environmental valuation studies relies, to a great extent, on the suitability of the proxy measures used to capture individuals’ preferences. While important advances have been achieved in last years concerning the characterization of the physical background in which recreational choices are made, Travel Cost Method applications have failed to consider the heterogeneity of landscape and the spatial configuration of land use. This paper presents an empirical application to forest recreation in Mallorca (Spain), implementing a random parameter logit model to evaluate —in terms of goodness-of-fit, model predictions and welfare measurements— the effects of environmental diversity on the recreational site-choice process.

Suggested Citation

  • Angel Bujosa Bestard & Antoni Riera Font, 2008. "Environmental diversity in recreational choice modelling," CRE Working Papers (Documents de treball del CRE) 2008/5, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    • Handle: RePEc:pdm:wpaper:2008/5
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    1. Sébastien Roussel & Jean-Michel Salles & Léa Tardieu, 2012. "Recreation Demand Analysis of the "Sensitive Natural Areas" (Hérault District, France) : A Travel Cost Appraisal using Count Data Models," Working Papers 12-30, LAMETA, Universtiy of Montpellier, revised Sep 2012.
    2. Japelj, Anže & Mavsar, Robert & Hodges, Donald & Kovač, Marko & Juvančič, Luka, 2016. "Latent preferences of residents regarding an urban forest recreation setting in Ljubljana, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 71-79.
    3. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    4. Roos, Anders & Eggers, Jeannette & Mark-Herbert, Cecilia & Lindhagen, Anders, 2018. "Using von Thünen rings and service-dominant logic in balancing forest ecosystem services," Land Use Policy, Elsevier, vol. 79(C), pages 622-632.
    5. Agimass, Fitalew & Lundhede, Thomas & Panduro, Toke Emil & Jacobsen, Jette Bredahl, 2018. "The choice of forest site for recreation: A revealed preference analysis using spatial data," Ecosystem Services, Elsevier, vol. 31(PC), pages 445-454.
    6. Sung-Kwon Hong & Ju-Mi Kim & Hyun-Kil Jo & Sang-Woo Lee, 2018. "Monetary Valuation of Urban Forest Attributes in Highly Developed Urban Environments: An Experimental Study Using a Conjoint Choice Model," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    7. Knoche, Scott & Lupi, Frank & Suiter, Ashley, 2015. "Harvesting benefits from habitat restoration: Influence of landscape position on economic benefits to pheasant hunters," Ecological Economics, Elsevier, vol. 113(C), pages 97-105.
    8. Lea Tardieu & Sébastien Roussel & Jean-Michel Salles, 2012. "Recreation demand analysis of natural areas: a revealed-preference approach," Post-Print hal-02746734, HAL.
    9. Angel Bujosa & Jaume Rosselló, 2013. "Climate change and summer mass tourism: the case of Spanish domestic tourism," Climatic Change, Springer, vol. 117(1), pages 363-375, March.
    10. 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.
    11. Luigi La Riccia & Vanessa Assumma & Marta Carla Bottero & Federico Dell’Anna & Angioletta Voghera, 2023. "A Contingent Valuation-Based Method to Valuate Ecosystem Services for a Proactive Planning and Management of Cork Oak Forests in Sardinia (Italy)," Sustainability, MDPI, vol. 15(10), pages 1-28, May.
    12. Kelley, Hugh & van Rensburg, Thomas M. & Jeserich, Nadine, 2016. "Determinants of demand for recreational walking trails in Ireland," Tourism Management, Elsevier, vol. 52(C), pages 173-186.
    13. Bertram, Christine & Larondelle, Neele, 2017. "Going to the Woods Is Going Home: Recreational Benefits of a Larger Urban Forest Site — A Travel Cost Analysis for Berlin, Germany," Ecological Economics, Elsevier, vol. 132(C), pages 255-263.
    14. Hernández, Juan M. & Suárez-Vega, Rafael & Santana-Jiménez, Yolanda, 2016. "The inter-relationship between rural and mass tourism: The case of Catalonia, Spain," Tourism Management, Elsevier, vol. 54(C), pages 43-57.

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    Keywords

    Travel Cost Method; random parameter logit; recreation demand; environmental diversity; forests;
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