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The Economic Impact of Tourism in Xinghai Park, China: A Travel Cost Value Analysis Using Count Data Regression Models

Author

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  • Erda Wang

    (School of Management, Dalian University of Technology, No 2 Linggong Road, Dalian 116024, China)

  • Zuozhi Li

    (Programme for Tourism Economics, School of Management, Dalian University of Technology, Dalian, China)

  • Bertis B. Little

    (Tarleton State University, Stephenville, Texas, USA)

  • Yu Yang

    (Programme for Tourism Economics, School of Management, Dalian University of Technology, Dalian, China)

Abstract

Using the travel cost method, the authors measure the recreational trip value of Xinghai Park in Dalian, China. They compare non-linear, truncated Poisson and truncated negative-binomial count data models to estimate recreational trip demand. The economic values of recreational trips in terms of consumer surplus (CS) are derived from each model. They estimate the CS values at between RMB ¥493 (US$64) to RMB ¥562 (US$73) per trip, resulting in a total social welfare estimate in the range from RMB ¥1.08 billion to RMB ¥1.23 billion (US$140 million to US$160 million in 2007).

Suggested Citation

  • Erda Wang & Zuozhi Li & Bertis B. Little & Yu Yang, 2009. "The Economic Impact of Tourism in Xinghai Park, China: A Travel Cost Value Analysis Using Count Data Regression Models," Tourism Economics, , vol. 15(2), pages 413-425, June.
  • Handle: RePEc:sae:toueco:v:15:y:2009:i:2:p:413-425
    DOI: 10.5367/000000009788254287
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    References listed on IDEAS

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    1. Daniel M. Hellerstein, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 860-866.
    2. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    3. Yufei Jin & Roderick Rejesus & Bertis Little, 2005. "Binary choice models for rare events data: a crop insurance fraud application," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 841-848.
    4. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    5. Chen, Weiqi & Hong, Huasheng & Liu, Yan & Zhang, Luoping & Hou, Xiaofeng & Raymond, Mark, 2004. "Recreation demand and economic value: An application of travel cost method for Xiamen Island," China Economic Review, Elsevier, vol. 15(4), pages 398-406.
    6. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    7. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
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    Cited by:

    1. Erda Wang & Ling Zhao & Ying Zhou & Bertis B. Little, 2013. "Valuing Outdoor Recreation Activities Using a Meta-Analysis Model in China: An Empirical Study," Tourism Economics, , vol. 19(2), pages 415-432, April.
    2. Farr, Marina & Stoeckl, Natalie, 2018. "Overoptimism and the undervaluation of ecosystem services: A case-study of recreational fishing in Townsville, adjacent to the Great Barrier Reef," Ecosystem Services, Elsevier, vol. 31(PC), pages 433-444.
    3. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    4. 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.
    5. Marina Farr & Natalie Stoeckl & Rabiul Alam Beg, 2011. "The efficiency of the Environmental Management Charge in the Cairns management area of the Great Barrier Reef Marine Park," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 322-341, July.
    6. Leask, Anna, 2016. "Visitor attraction management: A critical review of research 2009–2014," Tourism Management, Elsevier, vol. 57(C), pages 334-361.
    7. Farr, Marina & Stoeckl, Natalie & Sutton, Stephen, 2014. "Recreational fishing and boating: Are the determinants the same?," Marine Policy, Elsevier, vol. 47(C), pages 126-137.

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