IDEAS home Printed from https://ideas.repec.org/p/esr/wpaper/wp570.html
   My bibliography  Save this paper

The value of tourist angling: a travel cost method estimation of demand for two destination salmon rivers in Ireland

Author

Listed:
  • Grilli, Gianluca
  • Curtis, John
  • Hynes, Stephen
  • Landgraf, Gavin

Abstract

In this paper we use the travel cost method to estimate the demand function for two of western Ireland’s destination salmon fisheries: the River Moy in County Mayo and the River Corrib in County Galway. Data were collected by an on-site survey questionnaire and demand was estimated using count data models. In the study sites commercial fishing was banned to avoid unsustainable harvesting of salmon, which removed an important source of income for the local communities. Therefore, the study is important to highlight whether recreational fishing presents an opportunity for further development of the local economy. Welfare estimates from our models indicate that anglers are willing to pay €867 for a day of angling on the Galway and Moy fisheries, approximately double the costs incurred. Differently from previous research, tourists anglers were found to be price sensitive, with a price elasticity close to unity. This means that escalating costs likely result in declining demand among tourist anglers. Corrib and Moy fisheries support local economic activity with visiting anglers’ expenditure contributing €22-€31 per angler per day to local incomes, which is an indication of the potential of the fishery resource for economic development.

Suggested Citation

  • Grilli, Gianluca & Curtis, John & Hynes, Stephen & Landgraf, Gavin, 2017. "The value of tourist angling: a travel cost method estimation of demand for two destination salmon rivers in Ireland," Papers WP570, Economic and Social Research Institute (ESRI).
  • Handle: RePEc:esr:wpaper:wp570
    as

    Download full text from publisher

    File URL: http://www.esri.ie/pubs/WP570.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Raguragavan, Jananee & Hailu, Atakelty & Burton, Michael, 2013. "Economic Valuation of Recreational Fishing in Western Australia: Statewide Random Utility Modelling of Fishing Site Choice Behaviour," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), December.
    2. Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    3. 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.
    4. Zandersen, Marianne & Tol, Richard S.J., 2009. "A meta-analysis of forest recreation values in Europe," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 109-130, January.
    5. Stephen Hynes & Cathal Buckley & Tom van Rensburg, 2007. "Recreational Pursuits on Marginal Farm Land: A Discrete-Choice Model of Irish Farm Commonage Recreation," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 63-84.
    6. 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.
    7. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
    8. repec:eee:ecoser:v:16:y:2015:i:c:p:136-145 is not listed on IDEAS
    9. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    10. Hindsley, Paul & Landry, Craig E. & Gentner, Brad, 2011. "Addressing onsite sampling in recreation site choice models," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 95-110, July.
    11. 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.
    12. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    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. Mario du Preez & Deborah Lee, 2010. "The contribution of trout fly fishing to the economy of Rhodes, North Eastern Cape, South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 27(2), pages 241-253.
    15. Kalyan Chakraborty & John Keith, 2000. "Estimating the Recreation Demand and Economic Value of Mountain Biking in Moab, Utah: An Application of Count Data Models," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(4), pages 461-469.
    16. Barry, Luke & van Rensburg, Tom M. & Hynes, Stephen, 2011. "Improving the recreational value of Ireland's coastal resources: A contingent behavioural application," Marine Policy, Elsevier, vol. 35(6), pages 764-771, December.
    17. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Piotr Tryjanowski, 2012. "The economic value of a White Stork nesting colony: a case of ‘stork village’ in Poland," Working Papers 2012-11, Faculty of Economic Sciences, University of Warsaw.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:esr:wpaper:wp570. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sarah Burns). General contact details of provider: http://edirc.repec.org/data/esriiie.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.