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An on-site versus a household survey approach to modelling the demand for recreational angling: Do welfare estimates differ?

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  • Hynes, Stephen
  • O’Reilly, Paul
  • Corless, Rebecca

Abstract

This paper compares recreational fishing travel cost demand modelling results from an on-site angler intercept survey to results from a household survey where the respondents represent the same underlying population of interest. We employed a Poisson and negative binomial count data model with and without the econometric corrections for the on-site sampling issues of endogenous stratification and truncation as the onsite modelling approach and use Poisson and negative binomial count data hurdle specifications to control for excess zeros in the household modelling approach. We find that welfare estimates differ substantially across the two samples and argue that the underlying samples may represent two different types of anglers.

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  • 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.
    • Handle: RePEc:eee:ecoser:v:16:y:2015:i:c:p:136-145
    DOI: 10.1016/j.ecoser.2015.10.013
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    16. 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.
    17. 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.
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    Cited by:

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    2. Curtis, John & Stanley, Brian, 2015. "Water Quality and Recreational Angling Demand in Ireland," Papers WP521, Economic and Social Research Institute (ESRI).
    3. 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).
    4. 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.
    5. Ehrlich, Oren & Bi, Xiang & Borisova, Tatiana & Larkin, Sherry, 2017. "A latent class analysis of public attitudes toward water resources with implications for recreational demand," Ecosystem Services, Elsevier, vol. 28(PA), pages 124-132.
    6. 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.
    7. Raviv, Orna & Tchetchik, Anat & Lotan, Alon & Izhaki, Ido & Zemah Shamir, Shiri, 2021. "Direct and indirect valuation of air-quality regulation service as reflected in the preferences towards distinct types of landscape in a biosphere reserve," Ecological Economics, Elsevier, vol. 180(C).
    8. Marini Govigli, Valentino & Górriz-Mifsud, Elena & Varela, Elsa, 2019. "Zonal travel cost approaches to assess recreational wild mushroom picking value: Trade-offs between online and onsite data collection strategies," Forest Policy and Economics, Elsevier, vol. 102(C), pages 51-65.
    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. Raviv, Orna & Zemah Shamir, Shiri & Izhaki, Ido & Sagie, Hila & Negev, Maya & Mazor-Tregerman, Maya & Collins-Kreiner, Noga & Mansfeld, Yoel & Lotan, Alon, 2020. "The socioeconomic value of multiple ecosystem types at a biosphere reserve as a baseline for one holistic conservation plan," Ecosystem Services, Elsevier, vol. 41(C).

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    More about this item

    Keywords

    On-site and household sampling; Recreation demand; Hurdle count data models; Truncation; Endogenous stratification; Angling;
    All these keywords.

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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