IDEAS home Printed from https://ideas.repec.org/a/mje/mjejnl/v15y2019i47-15.html
   My bibliography  Save this article

Stochastic Optimization Model of Medium-Term Forecasting of Reserve of Financial Resources for Natural Fires Elimination

Author

Listed:
  • Angelina Ilchenko
  • Vladimir Chernov
  • Elena Butko

Abstract

The most large-scale and frequent, due to the physical and g graphical location, natural disasters in some regions of Europe, natural fires. It cannot be denied that natural fires cause signific damage to the economies of the regions. The authors consider possibility of using stochastic economic and mathematical mode reduce the negative economic impact of forest fires on the regio economy, by optimizing the planning and distribution of finan resources for the medium-term planning period. The develop optimization criterion for planning regional reserves to prevent n ative economic consequences from natural fires is given. Exp mental modeling based on the official reporting statistical data the Russia region is carried out. The model is quite general in nat and can be used to solve similar problems not only for the Russ regions, but also in European and other countries where one has face the same problems.

Suggested Citation

  • 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.
    • Handle: RePEc:mje:mjejnl:v:15:y:2019:i:4:7-15
    as

    Download full text from publisher

    File URL: http://repec.mnje.com/mje/2019/v15-n04/mje_2019_v15-n04-a11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julia L. Higle & Suvrajeet Sen, 1991. "Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse," Mathematics of Operations Research, INFORMS, vol. 16(3), pages 650-669, August.
    2. 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.
    3. A. Shapiro & Y. Wardi, 1996. "Convergence Analysis of Stochastic Algorithms," Mathematics of Operations Research, INFORMS, vol. 21(3), pages 615-628, August.
    4. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    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. Powell, Warren B., 2019. "A unified framework for stochastic optimization," European Journal of Operational Research, Elsevier, vol. 275(3), pages 795-821.
    2. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    3. Alhassan, Mustapha & Gustafson, Christopher R. & Schoengold, Karina, 2017. "Effects of Information Framing on Smallholder Irrigation Farmers’ Willingness to Pay for Groundwater Protection: The Case of Vea Irrigation Scheme in Ghana," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258432, Agricultural and Applied Economics Association.
    4. Verbic, Miroslav & Slabe-Erker, Renata, 2009. "An econometric analysis of willingness-to-pay for sustainable development: A case study of the Volcji Potok landscape area," Ecological Economics, Elsevier, vol. 68(5), pages 1316-1328, March.
    5. M. Jenabi & S. M. T. Fatemi Ghomi & S. A. Torabi & Moeen Sammak Jalali, 2022. "An accelerated Benders decomposition algorithm for stochastic power system expansion planning using sample average approximation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1304-1336, December.
    6. Omar Galárraga & Sandra Sosa-Rubí & César Infante & Paul Gertler & Stefano Bertozzi, 2014. "Willingness-to-accept reductions in HIV risks: conditional economic incentives in Mexico," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(1), pages 41-55, January.
    7. Carmelo León & Francisco Vázquez-Polo & Roberto González, 2003. "Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(2), pages 199-210, October.
    8. Franz Hackl & Gerald J. Pruckner, 2005. "Warm glow, free‐riding and vehicle neutrality in a health‐related contingent valuation study," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 293-306, March.
    9. Nayga, Rodolfo M., Jr. & Aiew, Wipon & Woodward, Richard T., 2004. "Willingness to Pay for Irradiated Food: A Non Hypothetical Market Experiment," 84th Seminar, February 8-11, 2004, Zeist, The Netherlands 24995, European Association of Agricultural Economists.
    10. Railey, Ashley F. & Marsh, Thomas L., 2017. "Diagnostic Testing and Vaccine Matching: FMD in Tanzania," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258386, Agricultural and Applied Economics Association.
    11. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
    12. Loureiro, Maria L. & Loomis, John B. & Nahuelhual, Laura, 2004. "A comparison of a parametric and a non-parametric method to value a non-rejectable public good," Journal of Forest Economics, Elsevier, vol. 10(2), pages 61-74, September.
    13. Waranan Tantiwat & Christopher Gan & Wei Yang, 2021. "The Estimation of the Willingness to Pay for Air-Quality Improvement in Thailand," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    14. Abay Asfaw & Joachim Braun, 2005. "Innovations in Health Care Financing: New Evidence on the Prospect of Community Health Insurance Schemes in the Rural Areas of Ethiopia," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 241-253, September.
    15. McNair, Ben J. & Hensher, David A. & Bennett, Jeff, 2010. "Modelling heterogeneity in response behaviour towards a sequence of discrete choice questions: a latent class approach," MPRA Paper 23427, University Library of Munich, Germany.
    16. Kiprop, Jonah Kipsaat, 2015. "An Evaluation Of Farmers Willingness To Pay For Irrigation Water In Kerio Valley Basin Kenya," Research Theses 265580, Collaborative Masters Program in Agricultural and Applied Economics.
    17. Ian Langford & Ian Bateman & Hugh Langford, 1996. "A multilevel modelling approach to triple-bounded dichotomous choice contingent valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(3), pages 197-211, April.
    18. Richard T. Carson & Miko_aj Czajkowski, 2014. "The discrete choice experiment approach to environmental contingent valuation," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 9, pages 202-235, Edward Elgar Publishing.
    19. Siikamki, Juha, 2001. "Valuing Benefits of Finnish Forest Biodiversity Conservation: Fixed and Random Parameter Logit Models for Pooled Contingent Valuation and Contingent Rating/Ranking Survey Data," Western Region Archives 321696, Western Region - Western Extension Directors Association (WEDA).
    20. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.

    More about this item

    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:mje:mjejnl:v:15:y:2019:i:4:7-15. 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: Nikola Draskovic Jelcic (email available below). General contact details of provider: http://www.mnje.com .

    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.