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Wilderness and Primitive Area Recreation Participation and Consumption: An Examination of Demographic and Spatial Factors

Author

Listed:
  • Bowker, James Michael
  • Murphy, D.
  • Cordell, H. Ken
  • English, Donald B.K.
  • Bergstrom, John C.
  • Starbuck, C. Meghan
  • Betz, Carter J.
  • Green, Gary T.
Abstract
This paper explores the influence of demographic and spatial variables on individual participation and consumption of wildland area recreation. Data from the National Survey on Recreation and the Environment are combined with geographical information system-based distance measures to develop nonlinear regression models used to predict both participation and the number of days of participation in wilderness and primitive area recreation. The estimated models corroborate previous findings indicating that race (black), ethnicity (Hispanic), immigrant status, age, and urban dwelling are negatively correlated with wildland visitation, while income, gender (male), and education positively affect wildland recreation participation and use. The presence of a distance or proximity factor mitigates some of the influence of race and ethnicity. The results of the cross-sectional models are combined with U.S. Census projections of total population, changes in population characteristics, and estimates of current National Forest Wilderness visitation estimates to give some insight into pressure that might be expected on the nation’s designated wilderness during the next half century. Results generally indicate that per-capita participation and visitation rates will decline over time as society changes. Total wilderness participation and visitation will, however, increase, but at a rate less than population growth.

Suggested Citation

  • Bowker, James Michael & Murphy, D. & Cordell, H. Ken & English, Donald B.K. & Bergstrom, John C. & Starbuck, C. Meghan & Betz, Carter J. & Green, Gary T., 2006. "Wilderness and Primitive Area Recreation Participation and Consumption: An Examination of Demographic and Spatial Factors," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-10, August.
    • Handle: RePEc:ags:joaaec:43765
    DOI: 10.22004/ag.econ.43765
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    References listed on IDEAS

    as
    1. Carter Betz & John Bergstrom & J. M. Bowker, 2003. "A Contingent Trip Model for Estimating Rail-trail Demand," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(1), pages 79-96.
    2. Steven T. Yen & Wiktor L. Adamowicz, 1993. "Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 203-215.
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    Cited by:

    1. Anna Nerg & Jussi Uusivuori & Jarmo Mikkola & Marjo Neuvonen & Tuija Sievänen, 2012. "Visits to National Parks and Hiking Areas: A Panel Data Analysis of Their Socio-Demographic, Economic and Site Quality Determinants," Tourism Economics, , vol. 18(1), pages 77-93, February.
    2. Mazzotta, Marisa & Wainger, Lisa & Sifleet, Samantha & Petty, J.Todd & Rashleigh, Brenda, 2015. "Benefit transfer with limited data: An application to recreational fishing losses from surface mining," Ecological Economics, Elsevier, vol. 119(C), pages 384-398.

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    More about this item

    Keywords

    Environmental Economics and Policy; Land Economics/Use;

    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
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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