Examining heterogeneity and wildfire management expenditures using spatially and temporally descriptive data
Michael S. Hand,
Matthew P. Thompson and
David E. Calkin
Journal of Forest Economics, 2016, vol. 22, issue C, 80-102
Abstract:
Increasing costs of wildfire management have highlighted the need to better understand suppression expenditures and potential tradeoffs of land management activities that may affect fire risks. Spatially and temporally descriptive data is used to develop a model of wildfire suppression expenditures, providing new insights into the role of spatial and temporal heterogeneity in determining expenditures. Incorporating heterogeneity improves model fit and predictive ability over a model with data based on the point and time of fire ignition. The model is potentially useful for providing expenditure information for simulated fire applications and post-season evaluation of suppression activities.
Keywords: Wildfire; Suppression expenditures; Heterogeneity; Cost models (search for similar items in EconPapers)
JEL-codes: H11 Q23 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1104689916000027
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:foreco:v:22:y:2016:i:c:p:80-102
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/701775/bibliographic
http://www.elsevier. ... 701775/bibliographic
DOI: 10.1016/j.jfe.2016.01.001
Access Statistics for this article
Journal of Forest Economics is currently edited by P. Gong and R. Brännlund
More articles in Journal of Forest Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().