An Assessment of the Impact of Natural and Technological Disasters Using a DEA Approach
- 812 Downloads
We consider a model of regions’ ranking in terms of their vulnerability to natural and technological disasters. Regions are different in terms of their resistance to different disasters, by their population, by the distribution of the sources of potential disasters, etc. We consider different models of a data envelopment analysis (DEA) approach taking into account the risks of the implementation of different measures, their cost as well as the heterogeneity of regions. The numerical examples demonstrate the application of the constructed model for the regions of Russian Federation.
KeywordsTechnological and natural disasters DEA Ranking of regions
The article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project “5-100”.
We express our appreciation for help in collecting data for the research to Mr. Nikita Kolesnikov.
We are grateful for the comments and suggests of the anonymous reviewers.
- Abankina, I.V., Aleskerov, F.T., Belousova, V.Yu., Bonch-Osmolovskaya, A., Petruschenko, V.V., Ogorodniychuk, D., Yakuba, V., Zin’kovsky, K.V.: University efficiency evaluation with using its reputational component. In: Proceedings of the 4th International Conference on Applied Operational Research, pp. 244–253. Tadbir Operational Research Group, Bangkok (2012)Google Scholar
- Akimov, V.A., Lesnyh, V.V., Radaev, N.N.: Basics of Risk Analysis and Risk Management in Natural and Technological Spheres (in Russian). Delovoy Express, Russia (2004)Google Scholar
- Aleskerov, F.T., Petrushchenko, V.V.: An approach to DEA for heterogeneous samples. In: Le Thi, H.A., et al. (eds.) Modelling, Computation and Optimization in Information Systems and Management Sciences, Advances in Intelligent Systems and Computing, vol. 360, pp. 15–21. Springer, Switzerland (2015)Google Scholar
- Aleskerov, F.T., Vil’ner, M.Ya., Vol’skiy, V.I., Litvakov, B.M., Novikov, S.G.: Man-machine system for a rational choice of nature conversation strategy of a region. In: Proceedings of III IFAC/IFIP/IFORS/IEA Conference on Man–Machine Systems, Oulu, Finland, pp. 145–150 (1988)Google Scholar
- Aleskerov, F.: Taxation for improving regional ecological situation. In: Ecological Economics of Sustainability Conference, World Bank, Washington, DC, May 1990, 12 pGoogle Scholar
- Andries, A.M.: The Determinants of Bank Efficiency and Productivity Growth in the Central and Eastern European Banking Systems. Faculty of Economics and Business Administration, Alexandru Loan Cuza University of Lasi, Romania, Draft (2010)Google Scholar
- Coldewey, W.G.: Emergency Planning For Tailings Dams, Optimisation of Disaster Forecasting and Prevention Measures in the Context of Human and Social Dynamics, pp. 115–121. IOS Press, Amsterdam (2009)Google Scholar
- Dutta, S.: The Bhopal Gas Tragedy. ICFAI Center for Management Research, Hyderabad (2002)Google Scholar
- Guha-Sapir, D., Hoyols, P.: Measuring the Human and Economic Impact of Disasters. CRED, Government Office for Science, Brussels (2012)Google Scholar
- Kotsemir, M.N.: Measuring National Innovation Systems Efficiency – A Review of DEA Approach. Science, Technology and Innovation, WP BRP, The Higher School of Economics, No. 16, Moscow (2013)Google Scholar
- Lipscy, P.Y., Kushida, K.E., Incerti, T.: The Fukushima disaster and Japan’s nuclear plant vulnerability in comparative perspective. Environ. Sci. Technol. 47, 6082–6088 (2013)Google Scholar
- Makhutov, N.A.: Methodology for Assessing the Risks of Terrorism, Countering Urban Terrorism in Russia and the United States, pp. 207–222. The National Academic Press (NAP), Washington, DC (2006)Google Scholar
- Modoi, O-C., Stefanescu, L., Marginean, S., Arghius, C., Ozunu, A.: Management of Risks Associated with Mining Wasted (Tailing Dams and Waste Heaps), Optimisation of Disaster Forecasting and Prevention Measures in the Context of Human and Social Dynamics, pp. 130–143. IOS Press, Amsterdam (2009)Google Scholar
- Saen, R.F.: A decision model for selecting the best entry modes via data envelopment analysis. Int. J. Appl. Decis. Sci. 4(3), 213–229 (2011)Google Scholar
- The World Bank: Natural Hazards, Unnatural Disasters: The Economics of Effective Prevention (2010)Google Scholar
- Wang, L.-C., Tsai, H.-Y.: Evaluation of highway maintenance performance using data envelopment analysis (DEA) in Taiwan, Taiwan. J. Mar. Sci. Technol. 17(2), 145–155 (2009)Google Scholar
- Yanenko, V.M., Rykhtovsky, V.O., Yanenko, N.V.: Environmental, medical, technogenic and computer technology: modeling, risk assessment and cost/benefit analysis of the accidents. Environ. Technol. New Dev. 15, 245–264 (2008)Google Scholar