DEA-Based Dynamic Assessment of Regional Environmental Efficiency

• Autorzy: Ratner S. , Ratner P.
• Języki publikacji: EN

Abstrakty

EN

We apply window Data Envelopment Analysis (DEA) to the solution of the problem of assessment of the efficiency of regional production systems in Southern Russia. The proposed method allows to monitor the changes in efficiency of regional economic systems throughout time and has a high discrimination power. The simplicity of the technical implementation of the proposed method and the availability of the necessary software for its use allow one to hope for its wide implementation in the modern practice of regional environmental management.

Słowa kluczowe

EN

data envelopment analysis; nonparametric optimization; dynamic problem; window analysis

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2017
• Tom: Vol. 13, no 2
• Strony: 48--60
• Opis fizyczny: Bibliogr. 21 poz., fig., tab.

Twórcy

autor

Ratner S.

• Institute of Control Science, Russian Academy of Science, 65 Profsoyuznaya st., Moscow 117997, Russia, [phone]

autor

Ratner P.

• Institute of Control Science, Russian Academy of Science, 65 Profsoyuznaya st., Moscow 117997, Russia, [phone]

Bibliografia

• [1] Bian Y., He P. and Xu H. (2013) Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach. Energy Policy. 63. 962–971 doi:10.1016/j.enpol.2013.08.051
• [2] Carrillo M., Jorge J.M. (2016) A multi-objective DEA approach to ranking alternatives. Expert Systems with Applications. 50. 130-139 doi:10.1016/j.eswa.2015.12.022
• [3] Charnes A., Clarke C., Cooper W., Golany B. (1985) A development study of DEA in measuring the effect of maintenance units in the U.S. Air Force. Annals of Operation Research. 2. 95–112.
• [4] Cook W.D., Seiford L.M. (2009). Data Envelopment Analysis (DEA) – Thirty years on. European Journal of Operational Research. 192. 1–17 doi:10.1016/j.ejor.2008.01.032
• [5] Fare. R.S., Grosskopf. S. and Lovell. C.A.K.. 1994. Production Frontiers. Cambridge University Press.
• [6] Färe. R., Grosskopf. S. (2004) Modelling undesirable factors in efficiency evaluation: comment. European Journal of Operational Research. 157. 242–245 doi:10.1016/S0377-2217(03)00191-7
• [7] Forgione H., Pregitzer C., Charlop-Powers S. and Gunther B. (2016) Advancing urban ecosystem governance in New York City: Shifting towards a unified perspective for conservation management. Environmental Science & Policy. 62.127–132 doi: 10.1016/j.envsci.2016.02.012
• [8] Khrustalev E. Yu. Ratner P.D. (2015a). Analysis of ecological efficiency of Russia’s electric energy companies through the data envelopment analysis methodology. Economic Analysis: The Theory and Practice. 35. 33–42. (in Russian)
• [9] Khrustalev E. Yu. Ratner P.D. (2015b). Eco-innovations in energy generation industry: the assessment of comparative effectiveness. Innovations. 9. 8–14. (in Russian)
• [10] Korhonen P.J., Luptacik M. (2004). Eco-efficiency analysis of power plants: An extension of data envelopment analysis. European Journal of Operational Research. 154. 437–446 doi:10.1016/S0377-2217(03)00180-2
• [11] Melnikov R.M. (2016) Development of a methodology for assessing the effectiveness of scientific and innovative programs taking into account foreign experience. Innovations. 10. 65–73 (in Russian)
• [12] Malmquist S. (1953) Index numbers and indifference surfaces. Trabajos de Estatistica. 4. 209–242.
• [13] Nizhegorodtsev R.M., Ratner, S.V. (2016) Trends in the development of industrially assimilated renewable energy: the problem of resource restrictions. Thermal Engineering. 63 (3). 197–207 doi: 10.1134/S0040601516030083
• [14] Olejniczak K., Lukasik K. (2016) Building Ecological Organizational Culture in the Modern Enterprise – Case of Henkel. International Journal of Contemporary Management. 15(1). 33-47 doi: 10.4467/24498939IJCM.16.002.4835
• [15] Perlis M.L. (2014) The Climate and Energy Policy Basis for EPA’s First-Ever CO2 Emission Standards for Power Plants. The Electricity Journal. 27(3). 35–44 doi:10.1016/j.tej.2014.03.005
• [16] Ratner S.V. (2016) Problems of optimizing the trajectories of the development of regional socio-economical systems on ecological parameters. Drukerovsky Bulletin. 2. 30–41. (in Russian)
• [17] Ratner S.V., Ratner P.D. (2016) Regional Energy Efficiency Programs in Russia: The Factors of Success. Region. 3 (1). 68–85. doi:10.18335/region.v3i1.71
• [18] Ratner S.V., Nizhegorodtsev R.M. (2017) Analysis of renewable energy projects’ implementation in Russia. Thermal Engineering. 64 (6). 429-436. doi:10.1134/S0040601517060052
• [19] Verma R.L., Borongan G. and Memon M. (2016) Municipal Solid Waste Management in Ho Chi Minh City, Vietnam. Current Practices and Future Recommendation. Procedia Environmental Sciences. 35. 127-139 doi: 10.1016/j.proenv.2016.07.059
• [20] Wang K., ShiweI Y.U. And Zhang W. (2013) China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation. Mathematical and Computer Modelling.58. 1117-1127 doi:10.1016/j.mcm.2011.11.067
• [21] Wu H., Shi Y. and Zhu W. (2014) Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan. Resources, Conservation and Recycling. 83. 163-175 doi:10.1016/j.resconrec.2013.10.003

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)