IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/31738.html
   My bibliography  Save this paper

Forest Fires: Why The Large Year-to-Year Variation in Forests Burned?

Author

Listed:
  • Jerome Apt
  • Dennis Epple
  • Fallaw Sowell

Abstract

Quantifying factors giving rise to temporal variation in forest fires is important for advancing scientific understanding and improving fire prevention. We demonstrate that eighty percent of the large year-to-year variation in forest area burned in California can be accounted for by variation in temperature, precipitation, housing construction, electricity transmission, and ocean surface temperatures in the North Atlantic, North Pacific, and Equatorial Pacific. California is of particular interest because of its large acreage burned and proximity of fires to human populations. We believe our model is the first unified treatment of climatic factors and human activities that affect forest area burned.

Suggested Citation

  • Jerome Apt & Dennis Epple & Fallaw Sowell, 2023. "Forest Fires: Why The Large Year-to-Year Variation in Forests Burned?," NBER Working Papers 31738, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31738
    Note: EEE PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w31738.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pullabhotla, Hemant K. & Souza, Mateus, 2022. "Air pollution from agricultural fires increases hypertension risk," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    2. Marco Turco & Maria Llasat & Jost Hardenberg & Antonello Provenzale, 2013. "Impact of climate variability on summer fires in a Mediterranean environment (northeastern Iberian Peninsula)," Climatic Change, Springer, vol. 116(3), pages 665-678, February.
    3. McCallum, Bennett T., 2010. "Is the spurious regression problem spurious?," Economics Letters, Elsevier, vol. 107(3), pages 321-323, June.
    4. Moeltner, K. & Kim, M.-K. & Zhu, E. & Yang, W., 2013. "Wildfire smoke and health impacts: A closer look at fire attributes and their marginal effects," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 476-496.
    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. repec:ags:aaea22:335930 is not listed on IDEAS
    2. Benjamin A. Jones & Shana McDermott, 2021. "The Local Labor Market Impacts of US Megafires," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    3. Brent, Daniel & Beland, Louis-Philippe, 2020. "Traffic congestion, transportation policies, and the performance of first responders," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    4. Arrizaga, Rubí & Clarke, Damian & Cubillos, Pedro P. & Ruiz-Tagle V., Cristóbal, 2023. "Wildfires and Human Health: Evidence from 15 Wildfire Seasons in Chile," IDB Publications (Working Papers) 12954, Inter-American Development Bank.
    5. Jin, Hao & Zhang, Jinsuo & Zhang, Si & Yu, Cong, 2013. "The spurious regression of AR(p) infinite-variance sequence in the presence of structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 25-40.
    6. Johnston, David W. & Önder, Yasin Kürşat & Rahman, Muhammad Habibur & Ulubaşoğlu, Mehmet A., 2021. "Evaluating wildfire exposure: Using wellbeing data to estimate and value the impacts of wildfire," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 782-798.
    7. Gueorgui I. Kolev, 2011. "The "spurious regression problem" in the classical regression model framework," Economics Bulletin, AccessEcon, vol. 31(1), pages 925-937.
    8. Vítor João Pereira Domingues Martinho, 2019. "Socioeconomic Impacts of Forest Fires upon Portugal: An Analysis for the Agricultural and Forestry Sectors," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    9. Antoine Belgodere & Frédéric Allaire & Jean-Baptiste Filippi & Vivien Mallet & Florian Guéniot, 2023. "On the Marginal Cost of the Duration of a Wildfire," Journal of Forest Economics, now publishers, vol. 38(3), pages 265-292, August.
    10. Kochi, Ikuho & Champ, Patricia A. & Loomis, John B. & Donovan, Geoffrey H., 2016. "Valuing morbidity effects of wildfire smoke exposure from the 2007 Southern California wildfires," Journal of Forest Economics, Elsevier, vol. 25(C), pages 29-54.
    11. Yongcui Lan & Jinliang Wang & Wenying Hu & Eldar Kurbanov & Janine Cole & Jinming Sha & Yuanmei Jiao & Jingchun Zhou, 2023. "Spatial pattern prediction of forest wildfire susceptibility in Central Yunnan Province, China based on multivariate data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 565-586, March.
    12. Gillingham, Kenneth & Huang, Pei, 2021. "Racial disparities in the health effects from air pollution: Evidence from ports," ZEW Discussion Papers 21-058, ZEW - Leibniz Centre for European Economic Research.
    13. Jones, Kelly W. & Gannon, Benjamin & Timberlake, Thomas & Chamberlain, James L. & Wolk, Brett, 2022. "Societal benefits from wildfire mitigation activities through payments for watershed services: Insights from Colorado," Forest Policy and Economics, Elsevier, vol. 135(C).
    14. Frédéric Branger, Philippe Quirion, Julien Chevallier, 2017. "Carbon Leakage and Competitiveness of Cement and Steel Industries Under the EU ETS: Much Ado About Nothing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Grzegorz Zimon & Dulal Chandra Pattak & Liton Chandra Voumik & Salma Akter & Funda Kaya & Robert Walasek & Konrad Kochański, 2023. "The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches," Energies, MDPI, vol. 16(17), pages 1-21, August.
    16. Derek Sheehan & Katrina Mullan & Thales A. P. West & Erin O. Semmens, 2024. "Protecting Life and Lung: Protected Areas Affect Fine Particulate Matter and Respiratory Hospitalizations in the Brazilian Amazon Biome," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 45-87, January.
    17. Feng, Zongbao & Chen, Weiya & Liu, Yang & Chen, Hongyu & Skibniewski, Mirosław J., 2023. "Long-term equilibrium relationship analysis and energy-saving measures of metro energy consumption and its influencing factors based on cointegration theory and an ARDL model," Energy, Elsevier, vol. 263(PD).
    18. He, Guojun & Liu, Tong & Zhou, Maigeng, 2020. "Straw burning, PM2.5, and death: Evidence from China," Journal of Development Economics, Elsevier, vol. 145(C).
    19. Qi He & Xinde (James) Ji, 2021. "The Labor Productivity Consequences of Exposure to Particulate Matters: Evidence from a Chinese National Panel Survey," IJERPH, MDPI, vol. 18(23), pages 1-22, December.
    20. Zhang, Lingxiang, 2018. "Spurious regressions with high-order models: A reconsideration," Economics Letters, Elsevier, vol. 168(C), pages 70-72.
    21. Xiaojing Jia & Xin Luo, 2023. "Residents’ Health Effect of Environmental Regulations in Coal-Dependent Industries: Empirical Evidence from China’s Cement Industry," Sustainability, MDPI, vol. 15(3), pages 1-16, January.

    More about this item

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:31738. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.