Total Factor Energy Productivity and Efficiency in the Yangtze Delta Region: An Application of DEA-Malmquist Index

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This paper used data envelopment analysis (DEA)-Malmquist index method to analyze the total factors energy productivity (TFEP) and efficiency of 16 cities in the Yangtze Delta region from the year 2008 to 2012. According to the computational results, the average TFEP of 16 cities during 1998-2012 is 0.978, and the average total factor energy efficiency (TFEE) is 1.011, while the average total factor energy technological change (TFTC) is 0.969. So the rapid drop of TFEP is mainly ascribable to the rapid drop of TFTC in the Yangtze Delta region. Specific to different cities and different period, there exists significant inequality catch-up effect and innovation effect in the Yangtze Delta region. In which, the catch-up effect of Nanjing, Suzhou, Yangzhou, Changzhou, Zhenjiang, Nantong, Taizhou1 and Jiaxing is evident, while the innovation effect of Shanghai, Nanjing, Suzhou, Wuxi and Zhoushan is more significant.

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197-201

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dan Shi, Lixue Wu, Xiaoxia Fu, Bin Wu. A research on the disparity of China's regions' energy efficiency and its cause of formation, Management World, 2 (2008)35-44. (in Chinese).

Google Scholar

[2] Boyd, G.A. and Pang, J.X. Estimating the linkage between energy efficiency and productivity, Energy Policy, 5 (2000)289-296.

DOI: 10.1016/s0301-4215(00)00016-1

Google Scholar

[3] Jinli Hu, Shihchuan Wang. Total factor energy efficiency of regions in China, Energy Policy, 34 (2006)3206-3271.

DOI: 10.1016/j.enpol.2005.06.015

Google Scholar

[4] Tzupu Chang, Jinli Hu. Total factor energy productivity growth, technical progress, and efficiency change: An empirical study of China, Applied Energy, 87(2010)3262-3270.

DOI: 10.1016/j.apenergy.2010.04.026

Google Scholar

[5] Caves D.W., Christensen L.R., Diewert W.E. The economic theory of index numbers and the measurement of input, output, and productivity, Econometrica, 5 (1982): 1393-1414.

DOI: 10.2307/1913388

Google Scholar

[6] Satoshi Honma, Jinli Hu. Total factor energy productivity growth of regions in Japan, Energy Policy, 37(2009)3941-3950.

DOI: 10.1016/j.enpol.2009.04.034

Google Scholar

[7] Fare, R., Grosskopf, S, Norris, M., Zhang. Z. Productivity growth, technical progress and efficiency change in industrialized countries, American Economic Review, 84 (1994): 66-83.

Google Scholar

[8] Gang Yi , Gang Fan, Yan Li. Thinking on China's economic growth and total factor productivity, Journal of Economic Research, 8 (2003)13-20. (in Chinese).

Google Scholar

[9] Jingwen Li, Xueyi Zhong. Cutting-edge Analysis of Chinese Productivity. Beijing: Social Sciences Academic Press, 1998. (in Chinese).

Google Scholar