The Energy-Saving Potential and Countermeasures of the Medium and Large Cities in Jilin Province

Abstract:

The scientific and reasonable measure of energy-saving potential is the foundation based on which government departments of Jilin Province at all levels sets their energy-saving goals and make corresponding policies. With reference to the research results of other scholars, the paper gives a new definition of the energy-saving potential. The definition is expected to cancel the incomparability of industrial structures, levels of economic development, and level of technology in the medium and large cities of Jilin Province. DEA model is used to conduct the empirical research on the energy-saving potential of the medium and large cities of Jilin Province. The paper also gives an objective evaluation of the medium and large cities of Jilin Province and analyzes the results of the evaluation. For those inefficient energy cities, the paper determines the size of the energy-saving potential, and provides some countermeasures to improve energy efficiency from the perspective of technology advancement, energy-saving potential and industrial-scale upgrade.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 6573-6578
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.6573
• Online since: May 2014
• Authors: Wei Li*, Yan Fei Zhao
• Keywords: DEA, Energy Efficiency, Energy Saving Potential

References

[1] Unakitan G, Hurma H, Yilmaz F. An analysis of energy use efficiency of canola production in Turkey [J]. Energy, 2010, 35(9): 3623-3627.

DOI: 10.1016/j.energy.2010.05.005

[2] Zhang X P, Cheng X M, Yuan J H, et al. Total-factor energy efficiency in developing countries[J]. Energy Policy, 2011, 39(2): 644-650.

DOI: 10.1016/j.enpol.2010.10.037

[3] Dan S H I. Regional Differences in China's Energy Efficiency and Conservation Potentials [J] China Industrial Economy, 2006, 10: 49-58.

[4] Lin A I, Dong H U A. Power system energy-saving generation dispatching [J]. East China Electric Power, 2008, 9(36): 35-39.

[5] Shi G M, Bi J, Wang J N. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs[J]. Energy Policy, 2010, 38(10): 6172-6179.

DOI: 10.1016/j.enpol.2010.06.003

[6] Chen Y, Du J, David Sherman H, et al. DEA model with shared resources and efficiency decomposition [J]. European Journal of Operational Research, 2010, 207(1): 339-349.

DOI: 10.1016/j.ejor.2010.03.031

[7] Mousavi-Avval S H, Rafiee S, Jafari A, et al. Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach[J]. Energy, 2011, 36(5): 2765-2772.

DOI: 10.1016/j.energy.2011.02.016

[8] Cook W D, Roll Y, Kazakov A. A DEA model for measuring the relative efficiency of highway maintenance patrols [J]. Infor, 1999, 28(2): 113-124.

DOI: 10.1080/03155986.1990.11732125