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Count Models and Wildfire in British Columbia

Author

Listed:
  • Zhen Xu
  • G. Cornelis van Kooten
Abstract
Two count models are estimated in this analysis to explain the occurrence of wildfire and area burned by wildfire in the interior of British Columbia, Canada. The main explanatory variable is the 4-month lagged El Niño 1&2 index, which is found to have a strong positive influence on wildfire in the study region. As a result of the lag on the climate index, the count models can be used to predict annual wildfire occurrence and the overall monthly size of the area burned by fire districts. An increase in the mean value of the monthly El Niño 1&2 index is projected to result in a slight increase in the number of fires and an increase in the probability that large areas will be burned. Not unexpectedly, however, the impact in July and August could be quite high (increases of 30%). In conclusion, given the large variance, actual changes caused by climate change are uncertain and could be dramatic.

Suggested Citation

  • Zhen Xu & G. Cornelis van Kooten, 2013. "Count Models and Wildfire in British Columbia," Working Papers 2013-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    • Handle: RePEc:rep:wpaper:2013-06
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    File URL: http://web.uvic.ca/~repa/publications/REPA%20working%20papers/WorkingPaper2013-06.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Wildfire occurrence and climate change; negative binomial and Pareto distributed count models; El Niño Southern Oscillation;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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