Total-Factor Energy Efficiency and Influence Factors Analysis in Regions of China

Han Xin Zhao; Hai Lin Mu; Xin Chen; Xiao Han

doi:10.4028/www.scientific.net/AMM.672-674.2158

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674Total-Factor Energy Efficiency and Influence...

Total-Factor Energy Efficiency and Influence Factors Analysis in Regions of China

Abstract:

This paper builds an input-output framework based on a data envelopment analysis (DEA) window aimed at exploring total-factor energy efficiency (TFEE) in 30 administrative regions and 6 areas across China from 2006 to 2012. In this framework, labor force, capital stock, energy consumption, CO2 emission are regarded as inputs, while gross domestic product (GDP) as the single output. The result indicates regions in East China and Mid South perform relatively higher TFEE especially Jiangsu, Guangdong which both obtain optimal efficiencies, while regions in Northwest have lower TFEE like Ningxia and Qinghai which TFEE lower than 0.55. But on the whole, 6 areas of China show increasing trends of TFEE during this period. Additionally, we conduct a regression analysis aimed at revealing influence factors of energy efficiency. We find properly adjusting industrial construction contributes the best for lifting TFEE, meanwhile, technology and economy size also have marked influences in raising TFEE.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

2158-2164

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.2158

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Online since:

October 2014

Authors:

Han Xin Zhao*, Hai Lin Mu, Xin Chen, Xiao Han

Keywords:

Data Envelopment Analysis, DEA, Energy Efficiency, Influence Factors Analysis, Regression, TFEE, Total-Factor Energy Efficiency

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* - Corresponding Author

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