IDEAS home Printed from https://ideas.repec.org/a/wly/apecpp/v43y2021i1p443-457.html
   My bibliography  Save this article

How Has the COVID‐19 Pandemic Affected Outdoor Recreation in the U.S.? A Revealed Preference Approach

Author

Listed:
  • Craig E. Landry
  • John Bergstrom
  • John Salazar
  • Dylan Turner

Abstract

This study examines the effects of the COVID‐19 pandemic on outdoor recreation trips and values using revealed preference data in the context of travel cost method. Demand models are estimated using data on pre‐ and postpandemic trips reported in a nationwide survey of recreation participants. The models incorporate related subjective risk perceptions as postpandemic measures of site quality and account for household‐level factors, pre‐existing conditions, and risk tolerance. Our results suggest that the pandemic had negative effects on recreation visits and values, with risk‐tolerant households and households with pre‐existing conditions taking more trips.

Suggested Citation

  • Craig E. Landry & John Bergstrom & John Salazar & Dylan Turner, 2021. "How Has the COVID‐19 Pandemic Affected Outdoor Recreation in the U.S.? A Revealed Preference Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 443-457, March.
    • Handle: RePEc:wly:apecpp:v:43:y:2021:i:1:p:443-457
    DOI: 10.1002/aepp.13119
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/aepp.13119
    Download Restriction: no
    File URL: https://libkey.io/10.1002/aepp.13119?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. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    3. Wolff, Hendrik, 2014. "Value of time: Speeding behavior and gasoline prices," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 71-88.
    4. Craig Landry & Dylan Turner, 2020. "Risk Perceptions and Flood Insurance: Insights from Homeowners on the Georgia Coast," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    5. Jeffrey T. LaFrance, 1990. "Incomplete Demand Systems And Semilogarithmic Demand Models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(2), pages 118-131, August.
    6. Fezzi, Carlo & Bateman, Ian J. & Ferrini, Silvia, 2014. "Using revealed preferences to estimate the Value of Travel Time to recreation sites," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 58-70.
    7. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
    8. von Haefen, Roger H., 2002. "A Complete Characterization Of The Linear, Log-Linear, And Semi-Log Incomplete Demand System Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-39, December.
    9. Daniel R. Petrolia & Craig E. Landry & Keith H. Coble, 2013. "Risk Preferences, Risk Perceptions, and Flood Insurance," Land Economics, University of Wisconsin Press, vol. 89(2), pages 227-245.
    10. 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.
    11. Landry, Craig E. & Shonkwiler, J. Scott & Whitehead, John C., 2020. "Economic Values of Coastal Erosion Management: Joint Estimation of Use and Existence Values with recreation demand and contingent valuation data," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    12. Bergstrom, John C. & Stowers, Matthew & Shonkwiler, J. Scott, 2020. "What Does the Future Hold for U.S. National Park Visitation? Estimation and Assessment of Demand Determinants and New Projections," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(1), January.
    13. Landry, Craig E. & Liu, Haiyong, 2009. "A semi-parametric estimator for revealed and stated preference data--An application to recreational beach visitation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 205-218, March.
    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. Ju-hyoung Lee & Madalitso Mkandawire & Patrick Niyigena & Abonisiwe Xotyeni & Edwin Itamba & Sylvester Siame, 2022. "Impact of COVID-19 Lock-Downs on Nature Connection in Southern and Eastern Africa," Land, MDPI, vol. 11(6), pages 1-16, June.
    2. Emad B. Dawwas & Karen Dyson, 2021. "COVID-19 Changed Human-Nature Interactions across Green Space Types: Evidence of Change in Multiple Types of Activities from the West Bank, Palestine," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    3. John A. Kupfer & Zhenlong Li & Huan Ning & Xiao Huang, 2021. "Using Mobile Device Data to Track the Effects of the COVID-19 Pandemic on Spatiotemporal Patterns of National Park Visitation," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    4. Luyi Han & Stephan J Goetz & Daniel Eades & Jason Entsminger & Doug Arbogast, 2023. "An early assessment of COVID-19’s impact on tourism in U.S. counties," Tourism Economics, , vol. 29(5), pages 1355-1375, August.
    5. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    6. Scully-Engelmeyer, Kaegan M. & Granek, Elise F. & Nielsen-Pincus, Max & Brown, Greg, 2021. "Participatory GIS mapping highlights indirect use and existence values of coastal resources and marine conservation areas," Ecosystem Services, Elsevier, vol. 50(C).
    7. Sara Silva & Luís Filipe Silva & António Vieira, 2023. "Protected Areas and Nature-Based Tourism: A 30-Year Bibliometric Review," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
    8. Abdullah, Muhammad & Ali, Nazam & Hussain, Syed Arif & Aslam, Atif Bilal & Javid, Muhammad Ashraf, 2021. "Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan," Transport Policy, Elsevier, vol. 108(C), pages 21-33.
    9. Maksim Godovykh & Jorge Ridderstaat & Carissa Baker & Alan Fyall, 2021. "COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism," Forecasting, MDPI, vol. 3(4), pages 1-14, November.
    10. Ziwen Liu & Scott Allan Orr & Pakhee Kumar & Josep Grau-Bove, 2023. "Measuring the impact of COVID-19 on heritage sites in the UK using social media data," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    11. Emil Andrzej Karpiński & Andrzej Robert Skrzypczak, 2022. "The Significance of Angling in Stress Reduction during the COVID-19 Pandemic—Environmental and Socio-Economic Implications," IJERPH, MDPI, vol. 19(7), pages 1-18, April.

    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. Landry, Craig E. & Shonkwiler, J. Scott & Whitehead, John C., 2020. "Economic Values of Coastal Erosion Management: Joint Estimation of Use and Existence Values with recreation demand and contingent valuation data," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    2. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    3. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
    4. Nobel, Anne & Lizin, Sebastien & Witters, Nele & Rineau, Francois & Malina, Robert, 2020. "The impact of wildfires on the recreational value of heathland: A discrete factor approach with adjustment for on-site sampling," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    5. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    6. Katsuhito Nohara, 2014. "Economic Valuation of the Damage to Tourism Benefits by Eastern Japan Great Earthquake Disaster," ERSA conference papers ersa14p1017, European Regional Science Association.
    7. Egan, Kevin J. & Corrigan, Jay R. & Dwyer, Daryl F., 2015. "Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 123-136.
    8. Hilger, James & Englin, Jeffrey, 2009. "Utility theoretic semi-logarithmic incomplete demand systems in a natural experiment: Forest fire impacts on recreational values and use," Resource and Energy Economics, Elsevier, vol. 31(4), pages 287-298, November.
    9. Leif E. Anderson & Mark L. Plummer, 2017. "Recreational Demand for Shellfish Harvesting Under Environmental Closures," Marine Resource Economics, University of Chicago Press, vol. 32(1), pages 43-57.
    10. Mikołaj Czajkowski & Marek Giergiczny & Jakub Kronenberg & Jeffrey Englin, 2019. "The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 961-984, November.
    11. Weiwei Liu & Kevin J. Egan, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1163-1187, November.
    12. Landry, Craig & Smith, Travis A., 2024. "IDS and AIDS Models for Recreation Demand: Application to Aggregate Beach Visitation," 2024 Annual Meeting, July 28-30, New Orleans, LA 343945, Agricultural and Applied Economics Association.
    13. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
    14. Catia Batista & Janis Umblijs, 2016. "Do migrants send remittances as a way of self-insurance?," Oxford Economic Papers, Oxford University Press, vol. 68(1), pages 108-130.
    15. Tianzhuo Liu & Huifang Jiao, 2018. "Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1213-1232, December.
    16. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.
    17. Eldon V. Ball & Ricardo Cavazos & Jeffrey T. LaFrance & Rulon Pope & Jesse Tack, 2010. "Aggregation and Arbitrage in Joint Production," Monash Economics Working Papers archive-22, Monash University, Department of Economics.
    18. Beine, Michel & Charness, Gary & Dupuy, Arnaud & Joxhe, Majlinda, 2020. "Shaking Things Up: On the Stability of Risk and Time Preferences," IZA Discussion Papers 13084, Institute of Labor Economics (IZA).
    19. Katsuhito Nohara & Masaki Narukawa & Akira Hibiki, 2021. "Using contingent behavior analysis to estimate benefits from coral reefs in Kume Island, Japan: A Poisson-inverse Gaussian approach with on-site correction," TUPD Discussion Papers 1, Graduate School of Economics and Management, Tohoku University.
    20. 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).

    More about this item

    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:wly:apecpp:v:43:y:2021:i:1:p:443-457. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2040-5804 .

    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.