IDEAS home Printed from https://ideas.repec.org/p/esr/wpaper/wp521.html
   My bibliography  Save this paper

Water Quality and Recreational Angling Demand in Ireland

Author

Listed:
  • Curtis, John
  • Stanley, Brian

Abstract

Using on-site survey data from sea, coarse and game angling sites in Ireland, this paper estimates count data models of recreational angling demand. The models are used to investigate the extent to which anglers are responsive to differences in water quality, with the water quality metric defined by the EU’s Water Framework Directive. The analysis shows that angling demand is greater where water quality has a higher ecological status, particularly for anglers targeting game species. However, for coarse anglers we find the reverse, angling demand is greater in waters with lower ecological status. On average, across the different target species surveyed, anglers have a willingness to pay of €371 for a day’s fishing. The additional benefit of angling in waters with high versus low ecological status was the highest for game anglers at a mean of €122 per day.

Suggested Citation

  • Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:wp521
    as

    Download full text from publisher

    File URL: https://www.esri.ie/pubs/WP521.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hynes, Stephen & O’Reilly, Paul & Corless, Rebecca, 2015. "An on-site versus a household survey approach to modelling the demand for recreational angling: Do welfare estimates differ?," Ecosystem Services, Elsevier, vol. 16(C), pages 136-145.
    2. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    3. 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.
    4. Ovaskainen, Ville & Neuvonen, Marjo & Pouta, Eija, 2012. "Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case," Journal of Forest Economics, Elsevier, vol. 18(4), pages 303-317.
    5. 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.
    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. A. Colin Cameron & Pravin K. Trivedi, 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.
    8. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2008. "AJAE appendix for “Valuing Water Quality as a Function of Water Quality Measures”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(1), pages 1-3, April.
    9. 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.
    10. John A. Downing, 2009. "Valuing Water Quality as a Function of Water Quality Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 106-123.
    11. 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.
    12. John Curtis, 2003. "Demand for Water-based Leisure Activity," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(1), pages 65-77.
    13. Nick Hanley & David Bell & Begona Alvarez-Farizo, 2003. "Valuing the Benefits of Coastal Water Quality Improvements Using Contingent and Real Behaviour," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(3), pages 273-285, March.
    14. 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.
    15. P. Joan Poor & Kevin J. Boyle & Laura O. Taylor & Roy Bouchard, 2001. "Objective versus Subjective Measures of Water Clarity in Hedonic Property Value Models," Land Economics, University of Wisconsin Press, vol. 77(4), pages 482-493.
    16. Joseph A. Herriges & Catherine L. Kling (ed.), 1999. "Valuing Recreation and the Environment," Books, Edward Elgar Publishing, number 1315.
    17. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
    18. Hynes, Stephen & O'Reilly, Paul & Corless, Rebecca, 2015. "A comparison of an on-site versus a household survey approach to modelling the demand for recreational angling," Working Papers 262591, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    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. Curtis, John & Breen, Benjamin & O'Reilly, Paul, 2016. "Recreational Angling Tournaments: Participants’ Expenditures," Papers WP546, Economic and Social Research Institute (ESRI).
    2. Grilli, Gianluca & Curtis, John & Hynes, Stephen & O’Reilly, Paul, 2018. "Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort," Ecological Economics, Elsevier, vol. 149(C), pages 285-293.
    3. Deely, J. & Hynes, S. & Curtis, J., 2019. "Are objective data a suitable replacement for subjective data in site choice analysis?," Working Papers 309602, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    4. Grilli, Gianluca & Mukhopadhyay, Soumyadeep & Curtis, John & Hynes, Stephen, 2019. "Recreational angling demand in a mixed resource fishery," Papers WP622, Economic and Social Research Institute (ESRI).
    5. 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).
    6. John Curtis & Benjamin Breen, 2016. "Fisheries management for different angler types," Papers WP529, Economic and Social Research Institute (ESRI).
    7. Breen, Benjamin & Curtis, John & Hynes, Stephen, 2017. "Recreational Use of Public Waterways and the Impact of Water Quality," Papers WP552, Economic and Social Research Institute (ESRI).
    8. Jamal Othman & Yaghoob Jafari, 2019. "Economic Valuation of an Urban Lake Recreational Park: Case of Taman Tasik Cempaka in Bandar Baru Bangi, Malaysia," Sustainability, MDPI, vol. 11(11), pages 1-15, May.

    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. Breen, Benjamin & Curtis, John & Hynes, Stephen, 2017. "Recreational Use of Public Waterways and the Impact of Water Quality," Papers WP552, Economic and Social Research Institute (ESRI).
    2. 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).
    3. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    4. Isabel Mendes & Isabel Proença, 2009. "Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach," Working Papers Department of Economics 2009/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    5. 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.
    6. Pattiz, Brian David, 2009. "Count regression models for recreation demand: an application to Clear Lake," ISU General Staff Papers 200901010800002092, Iowa State University, Department of Economics.
    7. Bowker, James Michael & English, Donald B.K. & Bergstrom, John C. & Starbuck, C. Meghan, 2005. "Valuing National Forest Recreation Access: Using a Stratified On-Site Sample to Generate Values Across Activities for a Nationally Pooled Sample," 2005 Annual meeting, July 24-27, Providence, RI 19506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. 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.
    9. 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.
    10. Pascoe, Sean, 2019. "Recreational beach use values with multiple activities," Ecological Economics, Elsevier, vol. 160(C), pages 137-144.
    11. Stephen Hynes & William Greene, 2016. "Preference Heterogeneity in Contingent Behaviour Travel Cost Models with On-site Samples: A Random Parameter vs. a Latent Class Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 348-367, June.
    12. 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.
    13. John Cullinan & Stephen Hynes & Cathal O’Donoghue, 2008. "Aggregating Consumer Surplus Values in Travel Cost Modelling Using Spatial Microsimulation and GIS Techniques," Working Papers 0807, Rural Economy and Development Programme,Teagasc.
    14. Voltaire, Louinord & Koutchade, Obafèmi Philippe, 2020. "Public acceptance of and heterogeneity in behavioral beach trip responses to offshore wind farm development in Catalonia (Spain)," Resource and Energy Economics, Elsevier, vol. 60(C).
    15. Hynes, Stephen & O’Reilly, Paul & Corless, Rebecca, 2015. "An on-site versus a household survey approach to modelling the demand for recreational angling: Do welfare estimates differ?," Ecosystem Services, Elsevier, vol. 16(C), pages 136-145.
    16. Meisner, Craig & Wang, Hua & Laplante, Benoit, 2006. "Welfare measurement bias in household and on-site surveying of water-based recreation : an application to Lake Sevan, Armenia," Policy Research Working Paper Series 3932, The World Bank.
    17. 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.
    18. Massimo Filippini & William Greene & Adan L. Martinez-Cruz, 2018. "Non-market Value of Winter Outdoor Recreation in the Swiss Alps: The Case of Val Bedretto," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 729-754, November.
    19. John Curtis & Benjamin Breen, 2016. "Fisheries management for different angler types," Papers WP529, Economic and Social Research Institute (ESRI).
    20. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.

    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:wp521. 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: Sarah Burns (email available below). General contact details of provider: https://edirc.repec.org/data/esriiie.html .

    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.