IDEAS home Printed from https://ideas.repec.org/p/ags/aaea04/19986.html
   My bibliography  Save this paper

Assessing the recreation values at risk from wildfire: an exploratory analysis

Author

Listed:
  • Neupane, Anish
  • Boxall, Peter C.
  • Pelletier, Rick

Abstract

The levels of participation in various types of outdoor recreation in forested areas are substantial. Studies have shown that over 18.5 million days, representing approximately 80% of recreation user days, were spent by Canadians in recreational activities in forested lands. Furthermore, recreation has significant social and economic value that should be reflected in management decisions if sustainable forest management is to be achieved. The importance of recreation in forests has resulted in the selection of measures of recreation participation as one of the relevant indicators of sustainable forest management reporting in Canada. This suggests that recreation areas should be an important component of the values of forest at risk due to loss from wildfire. However, the presence of recreationists, who are considered to be the highest values at risk, dispersed on the fire prone landscape presents some issues for fire management agencies. These issues include the possibility of recreationists perishing in a wildfire and/or the possibility of fire starts as a result of recreation activities which are projected to increase into the future. For fire management agencies that strive to suppress all wildfires, the latter issue is particularly challenging when faced with resource constraints. Thus, a move away from suppression of all wildfires to suppression based on protecting highest values at risk is needed. An explicit incorporation of recreation values is advantageous in that these values are closely linked to the presence of recreationists. Therefore, during fire events, directing resources to high value recreation areas fulfill a fire management goal of protecting highest values at risk as well as identifying areas of the landscape where the suppression efforts are to be directed.

Suggested Citation

  • Neupane, Anish & Boxall, Peter C. & Pelletier, Rick, 2004. "Assessing the recreation values at risk from wildfire: an exploratory analysis," 2004 Annual meeting, August 1-4, Denver, CO 19986, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:19986
    DOI: 10.22004/ag.econ.19986
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19986/files/sp04ne03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.19986?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. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Hunt, Len M. & Boxall, Peter & Englin, Jeffrey & Haider, Wolfgang, 2005. "Remote tourism and forest management: a spatial hedonic analysis," Ecological Economics, Elsevier, vol. 53(1), pages 101-113, April.
    3. Kathleen P. Bell & Nancy E. Bockstael, 2000. "Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Microlevel Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 72-82, February.
    4. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    5. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    6. Monchuk, Daniel C. & Miranowski, John A., 2003. "Spatial Labor Markets And Technology Spillovers - Analysis From Us Midwest," 2003 Annual meeting, July 27-30, Montreal, Canada 22250, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Ian J. Bateman & Guy D. Garrod & Julii S. Brainard & Andrew A. Lovett, 1996. "Measurement Issues In The Travel Cost Method: A Geographical Information Systems Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 191-205, January.
    8. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
    9. Robin Dubin, 1995. "Estimating Logit Models with Spatial Dependence," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 10, pages 229-242, Springer.
    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. Valerien O. Pede & Raymond J. G. M. Florax & Henri L. F. De Groot, 2007. "Technological Leadership, Human Capital and Economic Growth: a Spatial Econometric Analysis for US Counties, 1969-2003," Annals of Economics and Statistics, GENES, issue 87-88, pages 103-124.
    2. Pede, Valerien O. & Florax, Raymond J.G.M. & de Groot, Henri L.F., 2006. "The Role of Knowledge Externalities in the Spatial Distribution of Economic Growth: A Spatial Econometric Analysis for US Counties, 1969-2003," 2006 Annual meeting, July 23-26, Long Beach, CA 21157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    4. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    5. Julie Le Gallo, 2000. "Spatial econometrics (1, Spatial autocorrelation) [Econométrie spatiale (1, Autocorrélation spatiale)]," Working Papers hal-01527290, HAL.
    6. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    7. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    8. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    9. repec:esx:essedp:772 is not listed on IDEAS
    10. Zhou, Bin (Brenda) & Kockelman, Kara M., 2009. "Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes," Journal of Transport Geography, Elsevier, vol. 17(5), pages 369-376.
    11. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    12. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    13. Kelejian, Harry H. & Prucha, Ingmar R., 2002. "2SLS and OLS in a spatial autoregressive model with equal spatial weights," Regional Science and Urban Economics, Elsevier, vol. 32(6), pages 691-707, November.
    14. Wang, Li & Ready, Richard C., 2005. "Spatial Econometric Approaches to Estimating Hedonic Property Value Models," 2005 Annual meeting, July 24-27, Providence, RI 19174, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Mueller, Julie M. & Loomis, John B., 2008. "Spatial Dependence in Hedonic Property Models: Do Different Corrections For Spatial Dependence Result in Economically Significant Differences in Estimated Implicit Prices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-20.
    16. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
    17. Harald Badinger & Peter Egger, 2008. "Intra- and Inter-Industry Productivity Spillovers in OECD Manufacturing: A Spatial Econometric Perspective," CESifo Working Paper Series 2181, CESifo.
    18. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    19. Swinton, Scott M., 2002. "Capturing household-level spatial influence in agricultural management using random effects regression," Agricultural Economics, Blackwell, vol. 27(3), pages 371-381, November.
    20. Guyslain K. Ngeleza & Raymond J.G.M. Florax & William A. Masters, 2006. "Geographic And Institutional Determinants Of Real Income:A Spatio-Temporal Simultaneous Equation Approach," Working Papers 06-15, Purdue University, College of Agriculture, Department of Agricultural Economics.
    21. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    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:ags:aaea04:19986. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.