An Assessment of Low-Carbon Efficiency Evaluation in the Prospect of Environmental Optimization

Abstract:

From the prospect of environmental optimization the paper establishes a two-dimensional structure of low-carbon efficiency model firstly, with which the different efficiency of economic development comes down to four models. Then the paper builds evaluation index system on low-carbon by taking the CCR model of DEA method as the main analysis approach. On the basis of the above the paper researches on the ecological economy efficiency of 7 economic regions in China from the three levels，namely economic growth efficiency, environmental optimization efficiency and low-carbon efficiency. Eventually, through index evaluation process on the development situation of the above-mentioned economic regions from 2006 and 2007 this article puts forward strategic development policy recommendations advices for the derived results.

• Periodical: Advanced Materials Research (Volumes 160-162)
• Pages: 1187-1192
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.160-162.1187
• Online since: November 2010
• Authors: Xiu Yan Xi, Jie Li
• Keywords: DEA Model, Environmental Optimization Efficiency, Low-Carbon Efficiency, Sustainable Development

References

[1] Zhong, Sheng Hua, 2007, Eco-efficiency analysis of Paper Mills along the Huai River: An extended DEA approach[J], Omega, (35), 578-587. (in Chinese).

DOI: 10.1016/j.omega.2005.11.001

[2] Zhan Kenhua, Shen Xiaofeng. Prigogine and Dissipative Structure Theory [M]. Shanxi Science Press, 1998: 99-125(in Chinese).

[3] Korhonen P.J. and Luptacik, MA., 2004, Eco-efficiency analysis of power plants: an extension of data envelopment analysis[J], Euopean Journal of Operational Research, (154), 437～446.

DOI: 10.1016/s0377-2217(03)00180-2

[4] Doloreux D. Identifying Regional Innovation System in Globalizing Economy [M]. A Plead for an Integrated View 2005: 372-415.

[5] Charnes A, Cooper W W, Q L Wei, Z M Huang. Cone ratio data envelopment analysis and multi-objective programming[J]. International Journal of System Science, 1989, 20(7): 1099-1118.

DOI: 10.1080/00207728908910197

[6] Thompson R G, Lee E, Trall R M . DEA/AR efficiency of U.S. independent oil/gas producers over time[J]. Computers and Operations Research, 1992, 19: 377-391. Acknowledgment.

DOI: 10.1016/0305-0548(92)90068-g

[1] National Soft Science Research Project (Research on the Development Strategy of Urban Rail Transit Vehicle Industry Cluster, 2010GXS5D191).

[2] Social Science Program Funds Project of Liaoning Province（Research on the Strategic Linkage mechanism based on the Shenyang-Dalian Dual-core Space model, L09BJL016）.

[3] Eleventh Five-Year Plan Project of Liaoning Education Department（Research on the Intelligent Integration Model of Professional Cluster and Industrial Cluster in Liaoning Province, JG09DB132）.

[4] Social Science Funds Project of Liaoning Province（Research on the Dynamic Network Growth Path of Industrial Cluster in Liaoning Province from the perspective of Flexible Strategy, 2009lslktglx-84）.

[5] Social Science Funds Project of Liaoning Province（Research on the Optimization Strategy of Research-based Industries in Liaoning Province from the Perspective of Low-carbon Economy, 2010lslktjjx-01）.

[6] Social Science Funds Project of Dalian City（Research on the Development Path of High-tech Industry in Dalian City under the Context of New Economic Restructure, 10DLSK107）.