IDEAS home Printed from https://ideas.repec.org/a/uwp/landec/v98y2022i3p509-519.html
   My bibliography  Save this article

Distributional Effects of Entry Fees and Taxation for Financing Public Beaches

Author

Listed:
  • Frank Lupi
  • Roger H. von Haefen
  • Li Cheng

Abstract

We use a multisite general population demand model to assess welfare and distributional effects of entrance pricing and taxation to finance Great Lakes beach management. We compare revenue resulting from uniform entry (i.e., gate) fees across sites to additional state income tax generating equivalent revenues. We present empirical demand elasticities with respect to total prices, including entry fees and elasticities with respect only to fees. We find that demand is price elastic for total trips and individual sites, with individual sites being significantly more elastic. Over a broad range of entry fees, total trip and site demands are fee elastic.

Suggested Citation

  • Frank Lupi & Roger H. von Haefen & Li Cheng, 2022. "Distributional Effects of Entry Fees and Taxation for Financing Public Beaches," Land Economics, University of Wisconsin Press, vol. 98(3), pages 509-519.
  • Handle: RePEc:uwp:landec:v:98:y:2022:i:3:p:509-519
    Note: DOI: 10.3368/le.98.3.083121-0105
    as

    Download full text from publisher

    File URL: http://le.uwpress.org/cgi/reprint/98/3/509
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-10, December.
    2. 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.
    3. Christopher G. Leggett & Nora Scherer & Timothy C. Haab & Ryan Bailey & Jason P. Landrum & Adam Domanski, 2018. "Assessing the Economic Benefits of Reductions in Marine Debris at Southern California Beaches: A Random Utility Travel Cost Model," Marine Resource Economics, University of Chicago Press, vol. 33(2), pages 133-153.
    4. K. E. McConnell, 1992. "On-Site Time in the Demand for Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 918-925.
    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. Boudreaux, Greg & Lupi, Frank & Sohngen, Brent & Xu, Alan, 2023. "Measuring beachgoer preferences for avoiding harmful algal blooms and bacterial warnings," Ecological Economics, Elsevier, vol. 204(PA).

    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. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    2. 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.
    3. Lew, Daniel K. & Larson, Douglas M., 2005. "Accounting for stochastic shadow values of time in discrete-choice recreation demand models," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 341-361, September.
    4. Smith, V. Kerry, 1997. "Time and the Valuation of Environmental Resources," RFF Working Paper Series dp-98-07, Resources for the Future.
    5. Erik Wallentin, 2016. "Choice of the angler," Tourism Economics, , vol. 22(6), pages 1338-1351, December.
    6. Lew, Daniel K., 1999. "Multi-Purpose Trip Valuation in Recreation Demand Models: Some Methodological Approaches," 1999 Annual meeting, August 8-11, Nashville, TN 271486, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. W. Shaw & Michael Ozog, 1999. "Modeling Overnight Recreation Trip Choice: Application of a Repeated Nested Multinomial Logit Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 13(4), pages 397-414, June.
    8. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    9. Wai Soe Zin & Aya Suzuki & Kelvin S.-H. Peh & Alexandros Gasparatos, 2019. "Economic Value of Cultural Ecosystem Services from Recreation in Popa Mountain National Park, Myanmar: A Comparison of Two Rapid Valuation Techniques," Land, MDPI, vol. 8(12), pages 1-20, December.
    10. 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.
    11. Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
    12. Karavolias, Joanna & House, Lisa A., "undated". "Impact of Producer and Use of Biotechnology on Consumer Willingness to Pay: Discounts Required for Oranges Produced with Biotechnology," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259981, Agricultural and Applied Economics Association.
    13. Larson, Douglas & Shaikh, Sabina, 1999. "Empirical Specification Requirements for Two-Constraint Models of Recreation Demand," Western Region Archives 321713, Western Region - Western Extension Directors Association (WEDA).
    14. Mónica Moreno-Gutiérrez & Víctor Hernández-Trejo & Ramón Valdivia-Alcalá & Judith Juárez-Mancilla & Plácido Roberto Cruz-Chávez & Ulianov Jakes-Cota, 2024. "Linking Tourist Willingness to Pay and Beach Management: A Travel Cost Analysis for Balandra Marine Park, Mexico," Tourism and Hospitality, MDPI, vol. 5(4), pages 1-20, October.
    15. Beal, Diana J., 1995. "A Travel Cost Analysis of the Value of Carnarvon Gorge National Park for Recreational Use," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-12, August.
    16. Jakus, Paul M. & Dowell, Paula & Murray, Matthew N., 2000. "The Effect Of Fluctuating Water Levels On Reservoir Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-13, December.
    17. Lori D. Snyder & Robert N. Stavins & Alexander F. Wagner, 2003. "Private Options to Use Public Goods Exploiting Revealed Preferences to Estimate Environmental Benefits," Working Papers 2003.49, Fondazione Eni Enrico Mattei.
    18. Brad R. Humphreys & Jane E. Ruseski, 2006. "Economic Determinants of Participation in Physical Activity and Sport," Working Papers 0613, International Association of Sports Economists;North American Association of Sports Economists.
    19. Halkos, George, 2011. "Economic valuation of coastal zone quality improvements," MPRA Paper 35395, University Library of Munich, Germany.
    20. Jaana T Kari & Jaakko Pehkonen & Mirja Hirvensalo & Xiaolin Yang & Nina Hutri-Kähönen & Olli T Raitakari & Tuija H Tammelin, 2015. "Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.

    More about this item

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

    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:uwp:landec:v:98:y:2022:i:3:p:509-519. 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: the person in charge (email available below). General contact details of provider: http://le.uwpress.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.