IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v15y2009i2p413-425.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/000000009788254287
    Download Restriction: no
    File URL: https://libkey.io/10.5367/000000009788254287?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Leask, Anna, 2016. "Visitor attraction management: A critical review of research 2009–2014," Tourism Management, Elsevier, vol. 57(C), pages 334-361.
    5. 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.
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lea Tardieu & Sébastien Roussel & Jean-Michel Salles, 2012. "Recreation demand analysis of natural areas: a revealed-preference approach," Post-Print hal-02746734, HAL.
    2. 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.
    3. 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.
    4. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
    5. Anthony Amoah & Peter G. Moffatt, 2017. "Estimating demand for reliable piped-water services in urban Ghana: An application of competing valuation approaches," University of East Anglia School of Economics Working Paper Series 2017-01, School of Economics, University of East Anglia, Norwich, UK..
    6. Farr, Marina & Stoeckl, Natalie & Beg, Rabiul Alam, 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 1-20, September.
    7. Doshi, Amar & Pascoe, Sean, 2013. "Investigating the effects of sample heterogeneity on the travel cost model for coral diving in Southeast Asia," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152146, Australian Agricultural and Resource Economics Society.
    8. Pascoe, Sean, 2019. "Recreational beach use values with multiple activities," Ecological Economics, Elsevier, vol. 160(C), pages 137-144.
    9. Hynes, Stephen & Gaeven, Rainey & O'Reilly, Paul, 2017. "Estimating a Total Demand Function for Sea Angling Pursuits," Ecological Economics, Elsevier, vol. 134(C), pages 73-81.
    10. Mahadev Bhat & Ramachandra Bhatta & Mohamed Shumais, 2014. "Sustainable funding policies for environmental protection: the case of Maldivian atolls," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 45-67, January.
    11. Paul Mwebaze & Jeff Bennett, 2012. "Valuing Australian botanic collections: a combined travel-cost and contingent valuation study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 498-520, October.
    12. Pascoe, Sean & Doshi, Amar & Dell, Quentin & Tonks, Mark & Kenyon, Rob, 2014. "Economic value of recreational fishing in Moreton Bay and the potential impact of the marine park rezoning," Tourism Management, Elsevier, vol. 41(C), pages 53-63.
    13. Anne T. Byrne & David R. Just, 2023. "What is free food worth? A nonmarket valuation approach to estimating the welfare effects of food pantry services," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1063-1087, August.
    14. Hynes, Stephen & Gaeven Rainey, & O’Reilly, Paul, 2016. "Estimating the demand for Sea Angling in Irish Waters using on-site travel cost models," Working Papers 262595, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    15. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    16. Dominic Moran & Esmond Tresidder & Alistair McVittie, 2006. "Estimating the Recreational Value of Mountain Biking Sites in Scotland Using Count Data Models," Tourism Economics, , vol. 12(1), pages 123-135, March.
    17. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    18. Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    19. Stephen Hynes & Brian Cahill & Emma J. Dillon, 2007. "A Negative Binomial Discrete Choice Model of Forestry Recreation in Ireland," Working Papers 0709, Rural Economy and Development Programme,Teagasc.
    20. Edwards, Peter E.T. & Parsons, George R. & Myers, Kelley H., 2011. "The economic value of viewing migratory shorebirds on the Delaware Bay: An application of the single site travel cost model using on-site data," MPRA Paper 35832, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:15:y:2009:i:2:p:413-425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.