IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v12y2010i5p323-329.html
   My bibliography  Save this article

A theoretical economic model for choosing efficient wildfire suppression strategies

Author

Listed:
  • Mendes, Isabel

Abstract

In spite of increasing efforts by the authorities to qualitatively improve means of fire fighting, the wildfire scenario in Mediterranean regions has been worsening and one fears that this situation will only be further aggravated. Within a scenario of resource scarcity, huge budgetary constraints and other public choices of equivalent priority to that of combating wildfires, new wildfire management strategies seem necessary to achieve efficient answers to the increasing complexity of the economic and technical Mediterranean forest fire framework. In this paper, we seek to contribute towards clarifying how economic tools can be deployed to improve wildfire management and decrease fire risk within a context of economic scarcity and increasing forest fire risk. We describe how traditional microeconomic producer theory can be used to design a theoretical model enabling the choice of efficient wildfire suppression strategies. Along with linear programming techniques, GIS based data, and computer simulation programs, the efficient theoretical model enables those responsible to gain answers to some key questions arising throughout the course of wildfire process management, and particularly wildfire combat management.

Suggested Citation

  • Mendes, Isabel, 2010. "A theoretical economic model for choosing efficient wildfire suppression strategies," Forest Policy and Economics, Elsevier, vol. 12(5), pages 323-329, June.
  • Handle: RePEc:eee:forpol:v:12:y:2010:i:5:p:323-329
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389-9341(10)00020-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Riera, Pere & Mogas, Joan, 2004. "Evaluation of a risk reduction in forest fires in a Mediterranean region," Forest Policy and Economics, Elsevier, vol. 6(6), pages 521-528, October.
    2. Prestemon, Jeffrey P. & Mercer, D. Evan & Pye, John M. & Butry, David T. & Holmes, Thomas P. & Abt, Karen L., 2001. "Economically Optimal Wildfire Intervention Regimes," 2001 Annual meeting, August 5-8, Chicago, IL 20470, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Mercer, D. Evan & Prestemon, Jeffrey P., 2005. "Comparing production function models for wildfire risk analysis in the wildland-urban interface," Forest Policy and Economics, Elsevier, vol. 7(5), pages 782-795, August.
    4. Mariam Lankoande & Jonathan Yoder, 2006. "An Econometric Model of Wildfire Suppression Productivity," Working Papers 2006-10, School of Economic Sciences, Washington State University.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimiliano Agovino & Massimiliano Cerciello & Aniello Ferraro & Antonio Garofalo, 2021. "Spatial analysis of wildfire incidence in the USA: the role of climatic spillovers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6084-6105, April.
    2. Duff, Thomas J. & Chong, Derek M. & Tolhurst, Kevin G., 2015. "Using discrete event simulation cellular automata models to determine multi-mode travel times and routes of terrestrial suppression resources to wildland fires," European Journal of Operational Research, Elsevier, vol. 241(3), pages 763-770.
    3. Angelina Ilchenko & Vladimir Chernov & Elena Butko, 2019. "Stochastic Optimization Model of Medium-Term Forecasting of Reserve of Financial Resources for Natural Fires Elimination," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 7-15.
    4. Oliveira, A.S. & Soares-Filho, B.S. & Oliveira, U. & Van der Hoff, R. & Carvalho-Ribeiro, S.M. & Oliveira, A.R. & Scheepers, L.C. & Vargas, B.A. & Rajão, R.G., 2021. "Costs and effectiveness of public and private fire management programs in the Brazilian Amazon and Cerrado," Forest Policy and Economics, Elsevier, vol. 127(C).
    5. Rodríguez y Silva, Francisco & González-Cabán, Armando, 2016. "Contribution of suppression difficulty and lessons learned in forecasting fire suppression operations productivity: A methodological approach," Journal of Forest Economics, Elsevier, vol. 25(C), pages 149-159.
    6. Isabel Mendes, 2018. "Social risks of forest fires: a methodological proposal for their monetary evaluation," Working Papers Department of Economics 2018/02, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    7. Thompson, Matthew P. & Haas, Jessica R. & Finney, Mark A. & Calkin, David E. & Hand, Michael S. & Browne, Mark J. & Halek, Martin & Short, Karen C. & Grenfell, Isaac C., 2015. "Development and application of a probabilistic method for wildfire suppression cost modeling," Forest Policy and Economics, Elsevier, vol. 50(C), pages 249-258.

    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. Isabel Mendes, 2018. "Social risks of forest fires: a methodological proposal for their monetary evaluation," Working Papers Department of Economics 2018/02, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    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. Martínez-Espiñeira, Roberto & Lyssenko, Nikita, 2011. "Correcting for the endogeneity of pro-environment behavioral choices in contingent valuation," Ecological Economics, Elsevier, vol. 70(8), pages 1435-1439, June.
    4. Sattout, E.J. & Talhouk, S.N. & Caligari, P.D.S., 2007. "Economic value of cedar relics in Lebanon: An application of contingent valuation method for conservation," Ecological Economics, Elsevier, vol. 61(2-3), pages 315-322, March.
    5. Remoundou, Kyriaki & Kountouris, Yiannis & Koundouri, Phoebe, 2012. "Is the value of an environmental public good sensitive to the providing institution?," Resource and Energy Economics, Elsevier, vol. 34(3), pages 381-395.
    6. Romero-Calcerrada, R. & Barrio-Parra, F. & Millington, J.D.A. & Novillo, C.J., 2010. "Spatial modelling of socioeconomic data to understand patterns of human-caused wildfire ignition risk in the SW of Madrid (central Spain)," Ecological Modelling, Elsevier, vol. 221(1), pages 34-45.
    7. F. Ferreira-Leite & A. Bento-Gonçalves & A. Vieira & A. Nunes & L. Lourenço, 2016. "Incidence and recurrence of large forest fires in mainland Portugal," 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. 84(2), pages 1035-1053, November.
    8. Meldrum, James R. & Champ, Patricia A. & Brenkert-Smith, Hannah & Barth, Christopher M. & McConnell, Abby E. & Wagner, Carolyn & Donovan, Colleen, 2024. "Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners," Ecological Economics, Elsevier, vol. 216(C).
    9. Lankoande, Mariam D. & Yoder, Jonathan K., 2004. "Wildfire Fuels Management: A Nested Rotation Approach Applied To Ponderosa Pine Forests," 2004 Annual meeting, August 1-4, Denver, CO 20007, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Krivtsov, V. & Vigy, O. & Legg, C. & Curt, T. & Rigolot, E. & Lecomte, I. & Jappiot, M. & Lampin-Maillet, C. & Fernandes, P. & Pezzatti, G.B., 2009. "Fuel modelling in terrestrial ecosystems: An overview in the context of the development of an object-orientated database for wild fire analysis," Ecological Modelling, Elsevier, vol. 220(21), pages 2915-2926.
    11. Japelj, Anže & Mavsar, Robert & Hodges, Donald & Kovač, Marko & Juvančič, Luka, 2016. "Latent preferences of residents regarding an urban forest recreation setting in Ljubljana, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 71-79.
    12. Esteban, Bernat & Riba, Jordi-Roger & Baquero, Grau & Rius, Antoni, 2015. "Comparative cost evaluation of heating oil and small-scale wood chips produced from Euro-Mediterranean forests," Renewable Energy, Elsevier, vol. 74(C), pages 568-575.
    13. Jonathan Yoder & Marian Lankoande, 2005. "Firefights and Fuel Management: A Nested Rotation Model for Wildfire Risk Mitigation," Working Papers 2005-7, School of Economic Sciences, Washington State University.
    14. Arnau González & Jordi-Roger Riba & Antoni Rius, 2015. "Optimal Sizing of a Hybrid Grid-Connected Photovoltaic–Wind–Biomass Power System," Sustainability, MDPI, vol. 7(9), pages 1-20, September.
    15. Madureira, Lívia & Nunes, Luis C. & Borges, José G. & Falcão, André O., 2011. "Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: A Portuguese case study," Journal of Forest Economics, Elsevier, vol. 17(4), pages 399-414.
    16. Allen Molina & Joseph Little & Stacy Drury & Randi Jandt, 2021. "Homeowner Preferences for Wildfire Risk Mitigation in the Alaskan Wildland Urban Interface," Sustainability, MDPI, vol. 13(21), pages 1-11, October.
    17. Jude Bayham & Jonathan K. Yoder, 2012. "Wildfire Hazards: A Model of Disaster Response," Working Papers 2012-9, School of Economic Sciences, Washington State University.
    18. Bielsa, Jorge & Cazcarro, Ignacio & Sancho, Yolanda, 2011. "Integration of hydrological and economic approaches to water and land management in Mediterranean climates: an initial case study in agriculture," MPRA Paper 36445, University Library of Munich, Germany.
    19. Varela, Elsa & Jacobsen, Jette Bredahl & Soliño, Mario, 2014. "Understanding the heterogeneity of social preferences for fire prevention management," Ecological Economics, Elsevier, vol. 106(C), pages 91-104.
    20. Valente, Marieta & Fernandes, Maria Eduarda & Pinto, Lígia Maria Costa, 2024. "Crowdfunding or crowdsourcing time: Exploring the willingness of private citizens to help prevent forest fires," Forest Policy and Economics, Elsevier, vol. 163(C).

    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:eee:forpol:v:12:y:2010:i:5:p:323-329. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.