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The Demand for Spatially Complementary National Parks

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  • Kevin E. Henrickson
  • Erica H. Johnson

Abstract

Using a panel dataset on annual visits to each U.S. national park, we empirically analyze the demand for these parks using a spatial lag model, which accounts for the complementary nature of the parks. Our results suggest that increases in fuel costs, temperature increases of greater than 3 °F, and restrictions on foreign tourism all lower visitation to U.S. national parks, causing associated decreases in money spent by tourists, jobs created, and income generated. These results can also be used to analyze the possible implications of proposed public policies, such as international visa requirements, gas taxes, and carbon taxing/trading.

Suggested Citation

  • Kevin E. Henrickson & Erica H. Johnson, 2013. "The Demand for Spatially Complementary National Parks," Land Economics, University of Wisconsin Press, vol. 89(2), pages 330-345.
    • Handle: RePEc:uwp:landec:v:89:y:2013:ii:1:p:330-345
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    References listed on IDEAS

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    1. Lisa C. Chase & David R. Lee & William D. Schulze & Deborah J. Anderson, 1998. "Ecotourism Demand and Differential Pricing of National Park Access in Costa Rica," Land Economics, University of Wisconsin Press, vol. 74(4), pages 466-482.
    2. Richardson, Robert B. & Loomis, John B., 2004. "Adaptive recreation planning and climate change: a contingent visitation approach," Ecological Economics, Elsevier, vol. 50(1-2), pages 83-99, September.
    3. 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.
    4. Parsons, George R. & Wilson, Aaron J., 1997. "Incidental And Joint Consumption In Recreation Demand," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(1), pages 1-6, April.
    5. Joris Pinkse & Margaret E. Slade & Craig Brett, 2002. "Spatial Price Competition: A Semiparametric Approach," Econometrica, Econometric Society, vol. 70(3), pages 1111-1153, May.
    6. Englin Jeffrey & Shonkwiler J. S., 1995. "Modeling Recreation Demand in the Presence of Unobservable Travel Costs: Toward a Travel Price Model," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 368-377, November.
    7. John R. McKean & Donn M. Johnson & Richard G. Walsh, 1995. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation," Land Economics, University of Wisconsin Press, vol. 71(1), pages 96-105.
    8. Robert Mendelsohn & John Hof & George Peterson & Reed Johnson, 1992. "Measuring Recreation Values with Multiple Destination Trips," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 926-933.
    9. Arturs Kalnins, 2003. "Hamburger Prices and Spatial Econometrics," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(4), pages 591-616, December.
    10. Kevin E. Henrickson, 2012. "Spatial Competition And Strategic Firm Relocation," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 364-379, April.
    11. Manuel Frondel & Colin Vance, 2009. "Do High Oil Prices Matter? Evidence on the Mobility Behavior of German Households," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(1), pages 81-94, May.
    12. Englin, Jeffrey & Mendelsohn, Robert, 1991. "A hedonic travel cost analysis for valuation of multiple components of site quality: The recreation value of forest management," Journal of Environmental Economics and Management, Elsevier, vol. 21(3), pages 275-290, November.
    13. Ngure, Njoroge & Chapman, Duane, 1999. "Demand for Visitation to U.S. National Park Areas: Entrance Fees and Individual Area Attributes," Working Papers 127698, Cornell University, Department of Applied Economics and Management.
    14. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    15. Kerry Smith, V., 1981. "Congestion, travel cost recreational demand models, and benefit evaluation," Journal of Environmental Economics and Management, Elsevier, vol. 8(1), pages 92-96, March.
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    Cited by:

    1. Heagney, E.C. & Rose, J.M. & Ardeshiri, A. & KovaÄ , M., 2018. "Optimising recreation services from protected areas – Understanding the role of natural values, built infrastructure and contextual factors," Ecosystem Services, Elsevier, vol. 31(PC), pages 358-370.
    2. Clements, Hayley S. & Cumming, Graeme S., 2017. "Manager strategies and user demands: Determinants of cultural ecosystem service bundles on private protected areas," Ecosystem Services, Elsevier, vol. 28(PB), pages 228-237.

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    More about this item

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

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