IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/q2mg3.html
   My bibliography  Save this paper

The Value of Water Quality for Coastal Recreation in New England, USA

Author

Listed:
  • Merrill, Nathaniel
  • Mazzotta, Marisa J.
  • Mulvaney, Kate K.
  • Sawyer, Joshua Paul

    (EPA)

  • Twichell, Julia
  • Atkinson, Sarina F.
  • Keith, Darryl
  • Erban, Laura

Abstract

Water recreation is valuable to people and its value can be affected by changes in water quality. This paper presents the results of a primary data collection effort using a revealed preference survey to elicit coastal New England, USA residents’ values for water recreation and water quality. We combined the survey responses with a comprehensive dataset of coastal attributes, including in-water and remotely sensed water quality metrics for the coast of New England. The results provide an updated willingness-to-pay for a coastal recreation trip of $26-$28 (USD). Using a travel cost model framework, we found water clarity and the bacterial conditions of coastal waters to be practical water quality inputs to economic analysis, available at appropriate scales and meaningful to people and their behavior. Changes in clarity and bacterial conditions affected trip values, with a $4-$5 change for a meter in clarity and $0.13 for a one-unit change, respectively. We demonstrate their utility and the large potential value of improving water quality through welfare analysis scenarios for Narragansett Bay, Rhode Island, and Cape Cod, Massachusetts, USA. The paper discusses generalizable lessons for improving the policy relevance and applicability of water quality valuation studies in the U.S. and worldwide through improved water quality data collection and aggregation combined with application of scalable analysis tools for valuation.

Suggested Citation

  • Merrill, Nathaniel & Mazzotta, Marisa J. & Mulvaney, Kate K. & Sawyer, Joshua Paul & Twichell, Julia & Atkinson, Sarina F. & Keith, Darryl & Erban, Laura, 2022. "The Value of Water Quality for Coastal Recreation in New England, USA," SocArXiv q2mg3, Center for Open Science.
  • Handle: RePEc:osf:socarx:q2mg3
    DOI: 10.31219/osf.io/q2mg3
    as

    Download full text from publisher

    File URL: https://osf.io/download/631a1f7a09a8522775d9e7fe/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/q2mg3?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. George R. Parsons & GAndrew J. Plantinga & GKevin J. Boyle, 2000. "Narrow Choice Sets in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 76(1), pages 86-99.
    2. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    3. Frank Lupi & Daniel J. Phaneuf & Roger H. von Haefen, 2020. "Best Practices for Implementing Recreation Demand Models," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(2), pages 302-323.
    4. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers Archive 1594, Iowa State University, Department of Economics.
    5. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
    Full references (including those not matched with items on IDEAS)

    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. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    2. Melstrom, Richard T., 2017. "The petroleum industry's response to an endangered species listing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258281, Agricultural and Applied Economics Association.
    3. von Haefen, Roger H., 2003. "Incorporating observed choice into the construction of welfare measures from random utility models," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 145-165, March.
    4. Melstrom, Richard T., 2017. "Where to drill? The petroleum industry's response to an endangered species listing," Energy Economics, Elsevier, vol. 66(C), pages 320-327.
    5. Aleksandra Wiśniewska & Wiktor Budziński & Mikołaj Czajkowski, 2018. "Publicly funded cultural institutions – a comparative economic valuation study," Working Papers 2018-22, Faculty of Economic Sciences, University of Warsaw.
    6. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    7. Keiser, David A., 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," ISU General Staff Papers 201806290700001048, Iowa State University, Department of Economics.
    8. Yongjie Ji & Joseph A. Herriges & Catherine L. Kling, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 860-880.
    9. Xie, Lusi & Adamowicz, Wiktor & Lloyd-Smith, Patrick, 2023. "Spatial and temporal responses to incentives: An application to wildlife disease management," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    10. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    11. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
    12. Erik Wallentin, 2016. "Choice of the angler," Tourism Economics, , vol. 22(6), pages 1338-1351, December.
    13. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    14. Termansen, Mette & McClean, Colin J. & Jensen, Frank Søndergaard, 2013. "Modelling and mapping spatial heterogeneity in forest recreation services," Ecological Economics, Elsevier, vol. 92(C), pages 48-57.
    15. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    16. Mikołaj Czajkowski & Wiktor Budziński & Marianne Zandersen & Wojciech Zawadzki & Uzma Aslam & Ioannis Angelidis & Katarzyna Zagórska, 2024. "The Recreational Value of the Baltic Sea Coast: A Spatially Explicit Site Choice Model Accounting for Environmental Conditions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 135-166, January.
    17. Thiene, Mara & Swait, Joffre & Scarpa, Riccardo, 2017. "Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 152-173.
    18. repec:ags:aaea22:335687 is not listed on IDEAS
    19. Aleksandra Wiśniewska & Wiktor Budziński & Mikołaj Czajkowski, 2020. "An economic valuation of access to cultural institutions: museums, theatres, and cinemas," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(4), pages 563-587, December.
    20. Mikołaj Czajkowski & Marianne Zandersen & Uzma Aslam & Ioannis Angelidis & Thomas Becker & Wiktor Budziński & Katarzyna Zagórska, 2018. "Recreational Value of the Baltic Sea: a Spatially Explicit Site Choice Model Accounting for Environmental Conditions," Working Papers 2018-11, Faculty of Economic Sciences, University of Warsaw.
    21. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.

    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:osf:socarx:q2mg3. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.