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The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China


  • Erda Wang

    (Dalian University of Technology, China)

  • Jianhua Wei

    (Dalian University of Technology, China)

  • Jiawei Zhu

    (Dalian University of Technology, China)


In this study, we use an estimation method of combining revealed preference (RP) with stated preference (SP) to measure the effects of park attribute improvement on the tourism demand and recreation benefits. Three categories of attributes are taken into account including nature, management, and economics. Five model estimations are made using RP, SP, and pooled data, respectively. The random effects negative binomial model is used with the SP data, and the mixed negative binomial model is used with the pooled data. The economic value of each specific park attribute improvement is measured by visitors’ marginal willingness to pay that directly addresses the issues of optimal attribute combinations beyond the observed range and scenarios. We survey a sample of the participants on the sites to obtain both revealed and stated behavior data for trips based on a management-relevant park attribute improvement and different park attribute combinations. Recreation demand models are used to derive total consumer surplus. The results indicate that the congestion reduction in the park has a relatively weak effect on the tourist demand, whereas trash reduction and improved seawater visibility appear to have the most important value to the tourists. Furthermore, the estimated consumer surplus at the present park conditions is about US$85 per recreation trip, and this consumer surplus will increase to US$101 as the quality of the park attribute improved. The overall park attribute improvement will increase recreational trip by 1.22 times per person per year from the present condition, and the net increase in consumer surplus reaches to US$205 per participant per year as a result of overall park attribute improvement.

Suggested Citation

  • Erda Wang & Jianhua Wei & Jiawei Zhu, 2017. "The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China," Tourism Economics, , vol. 23(1), pages 133-149, February.
  • Handle: RePEc:sae:toueco:v:23:y:2017:i:1:p:133-149
    DOI: 10.5367/te.2015.0503

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    1. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    2. Donna Dosman & Wiktor Adamowicz, 2006. "Combining Stated and Revealed Preference Data to Construct an Empirical Examination of Intrahousehold Bargaining," Review of Economics of the Household, Springer, vol. 4(1), pages 15-34, March.
    3. Paulo Guimarães, 2005. "A simple approach to fit the beta-binomial model," Stata Journal, StataCorp LP, vol. 5(3), pages 385-394, September.
    4. Bujosa, Angel & Riera, Antoni & Torres, Catalina M., 2015. "Valuing tourism demand attributes to guide climate change adaptation measures efficiently: The case of the Spanish domestic travel market," Tourism Management, Elsevier, vol. 47(C), pages 233-239.
    5. Alberini, Anna & Zanatta, Valentina & Rosato, Paolo, 2007. "Combining actual and contingent behavior to estimate the value of sports fishing in the Lagoon of Venice," Ecological Economics, Elsevier, vol. 61(2-3), pages 530-541, March.
    6. Frauman, Eric & Banks, Sarah, 2011. "Gateway community resident perceptions of tourism development: Incorporating Importance-Performance Analysis into a Limits of Acceptable Change framework," Tourism Management, Elsevier, vol. 32(1), pages 128-140.
    7. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    8. Jens Abildtrup & Søren Bøye Olsen & Anne Stenger, 2015. "Combining RP and SP data while accounting for large choice sets and travel mode - an application to forest recreation," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(2), pages 177-201, July.
    9. Christie, Michael & Hanley, Nick & Hynes, Stephen, 2007. "Valuing enhancements to forest recreation using choice experiment and contingent behaviour methods," Journal of Forest Economics, Elsevier, vol. 13(2-3), pages 75-102, August.
    10. Edward R. Morey & William S. Breffle & Pamela A. Greene, 2001. "Two Nested Constant-Elasticity-of-Substitution Models of Recreational Participation and Site Choice: An ‘Alternatives’ Model and an ‘Expenditures’ Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 414-427.
    11. Poudyal, Neelam C. & Paudel, Bamadev & Tarrant, Michael A., 2013. "A time series analysis of the impact of recession on national park visitation in the United States," Tourism Management, Elsevier, vol. 35(C), pages 181-189.
    12. Lienhoop, Nele & Ansmann, Till, 2011. "Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity," Ecological Economics, Elsevier, vol. 70(7), pages 1250-1258, May.
    13. Christopher R. McIntosh & Neil Wilmot, 2011. "An Empirical Study of the Influences of Recreational Park Visitation: The Case of US National Park Service Sites," Tourism Economics, , vol. 17(2), pages 425-435, April.
    14. Richard T. Carson & Nicholas E. Flores & Kerry M. Martin & Jennifer L. Wright, 1996. "Contingent Valuation and Revealed Preference Methodologies: Comparing the Estimates for Quasi-Public Goods," Land Economics, University of Wisconsin Press, vol. 72(1), pages 80-99.
    15. John Whitehead & Daniel Phaneuf & Christopher Dumas & Jim Herstine & Jeffery Hill & Bob Buerger, 2010. "Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 91-112, January.
    16. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    17. Assaf, A. George & Tsionas, Efthymios G., 2015. "Incorporating destination quality into the measurement of tourism performance: A Bayesian approach," Tourism Management, Elsevier, vol. 49(C), pages 58-71.
    18. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
    19. Clark, David E. & Kahn, James R., 1989. "The two-stage hedonic wage approach: A methodology for the valuation of environmental amenities," Journal of Environmental Economics and Management, Elsevier, vol. 16(2), pages 106-120, March.
    20. Whitehead, John C. & Haab, Timothy C. & Huang, Ju-Chin, 2000. "Measuring recreation benefits of quality improvements with revealed and stated behavior data," Resource and Energy Economics, Elsevier, vol. 22(4), pages 339-354, October.
    21. Loomis, John B., 1995. "Four models for determining environmental quality effects on recreational demand and regional economics," Ecological Economics, Elsevier, vol. 12(1), pages 55-65, January.
    22. John Loomis, 1993. "An investigation into the reliability of intended visitation behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 183-191, April.
    23. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    24. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August.
    25. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
    26. Trudy Ann Cameron, 1992. "Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods," Land Economics, University of Wisconsin Press, vol. 68(3), pages 302-317.
    27. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
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