IB  Vol.5 No.3 , September 2013
Pre-Evaluation Index System Research of Urban Energy-Saving Emission Reduction Policies
Energy-saving is an important aspect of sustainable development in China. It affects the realization of China’s sustainable economic development strategy. Cities are important units of the country’s economic development and the effect of cities’ energy saving work will affect national strategic planning. Urban energy saving policy evaluation system is an important tool to measure a city’s energy saving work. It can be divided into pre-implementation evaluation, ongoing evaluation and post-implementation evaluation according to the implementation phase of the evaluation. This paper builds a pre-evaluation index system of urban energy conservation policy using energy saving policy classification and multi-angle evaluation of the integrated program of National 11th and 12th Five-Year Plan for Energy Saving.

Cite this paper
L. Fan, L. Cai and Y. Xie, "Pre-Evaluation Index System Research of Urban Energy-Saving Emission Reduction Policies," iBusiness, Vol. 5 No. 3, 2013, pp. 86-94. doi: 10.4236/ib.2013.53011.
[1]   H. M. Zhao and Wang Yang, “Research of Evaluation Index System for Energy Conservation and Emission Reduction in Resource-Oriented Regions,” Journal of Inner Mongolia Finance and Economics College, Vol. 5, No. 1, 2010, pp. 42-45.

[2]   J. Y. Xie, “Relationship between Energy Saving and Emission Refuction and the Mode of Economic Development,” Energy Saving of Non-Ferrous Metallurgy, Vol. 6, No. 1, 2009, pp. 7-10.

[3]   M. Dai, X. Zhang and Y. X. Chen, “Ex-Ante Evaluation Method of Information System Based on Fuzzy Linguistic Information,” Computer Engineering and Design, Vol. 28, No. 13, 2007, pp. 3036-3038.

[4]   Y. Liang, S. P. Yi, S. Q. Xiong and Z. F. Li, “Application of Fuzzy Comprehensive Evaluation for Pre-Evaluation in the Enterprise Informatization,” Industrial Engineering Journal, Vol. 10, No. 4, 2007, pp. 125-127.

[5]   Y. B. Gong and J. G. Zhang, “Ex-Ante Evaluation Method of MIS Based on Fuzzy Relative Potential,” Journal of Intelligence, Vol. 1, No. 1, 2009, pp. 72-73, 82.

[6]   J. Lin, “A Light Diet for a Giant Appetite: An Assessment of China’s Fluorescent Lamp Standard,” Energy, Vol. 30, No. 10, 2005, pp. 1837-1887. doi:10.1016/j.energy.2004.09.008

[7]   G. C. Nwaobi, “Emission Policies and the Nigerian Economy: Simulations from a Dynamic Applied General Equilibrium Mode,” Energy Economics, Vol. 26, No. 5, 2004, pp. 921-936. doi:10.1016/j.eneco.2004.04.003

[8]   Y. P. Wang, “Study on Index System of Energy-Saving Emission Reduction in China,” Coal Economic Research, Vol. 2, No. 2009, pp. 31-32, 39.

[9]   S. Chu and L. Chen, “Evaluation of Energy Saving and Emission Reduction of Anhui Based on Variance Coefficient Approach,” China Population Resources and Environment, Vol. 21, No. 3, 2011, pp. 512-516.

[10]   H. Li and X. Y. Li, “Evaluation of Energy Saving and Emission Reduction in China’s Coal Resource Type City,” Coal Economic Research, Vol. 31, No. 8, 2011, pp. 46-48, 57.

[11]   C. Shen, M. R. Deng and Y. J. Chu, “Research on the Enterprise Energy Saving and Emission Reduction Measurement System for the Resource and Environment,” Journal of Wuhan University of Technology, Vol. 32, No. 4, 2010, pp. 49-52.

[12]   Y. M. Liu, S. L. Shan and P. Z. Gao, “Evaluation System and Modeling Construction of Coal Companies and Energy Saving,” Economic Research Guide, Vol. 25, 2011, pp. 34-35.

[13]   W. Chen, “China’s Provincial Industrial Energy-Saving Emission Reduction Performance Evaluation,” Journal of Changchun University of Science and Technology (Social Sciences Edition), Vol. 25, No. 1, 2012, pp. 54-56.

[14]   W. C. Duan, Y. Q. Li and Y. W. Du, “Model of the Performance Evaluation of Telecom Energy-Saving and Emission Reduction Based on Fuzzy Comprehensive Evaluation,” Science and Technology Management Research, Vol. 21, No. 1, 2011, pp. 43-46.