Has Environmental Energy Efficiency in China Improved during the First Two Decades of the 21st Century? A New Perspective

35 Pages Posted: 14 Dec 2021

See all articles by Maria Kopsakangas-Savolainen

Maria Kopsakangas-Savolainen

Finnish Environment Institute; University of Oulu - Department of Economics, Accounting and Finance

Hong-Zhou Li

Dongbei University of Finance and Economics

Date Written: December 8, 2021

Abstract

To estimate the performance of China in terms of energy use efficiency while taking pollutant emission into consideration during the first two decades of the 21st, this study collects a panel data set covering 30 provincial administrative regions in mainland China over the period 2000-2016. To overcome the problem of DEA-based method, by using Bayesian technique this study puts forward a SFA-based model that may estimate environmental energy efficiency while maintaining the regularity constraints imposed on undesirable output. Our empirical results show that the average value of environmental energy efficiency during the whole sample period changes from 0.7858 in 2000 to 0.7726 in 2016, with an average value of 0.7812. This result is in sharp contrast with the often used indexes such as GDP/energy ratio and GDP/undsirable-output ratio, both of which show obvious improvement trendency during the same perid. This study suggests that more sophisticated indexes should be used in evaluating energy efficiency and environment protection related performance.

Keywords: environmental energy efficiency, SFA, DEA, Bayesian technique

Suggested Citation

Kopsakangas-Savolainen, Maria and Li, Hong-Zhou, Has Environmental Energy Efficiency in China Improved during the First Two Decades of the 21st Century? A New Perspective (December 8, 2021). Available at SSRN: https://ssrn.com/abstract=3980467 or http://dx.doi.org/10.2139/ssrn.3980467

Maria Kopsakangas-Savolainen

Finnish Environment Institute ( email )

PO Box 413
Oulu, 90014
Finland

University of Oulu - Department of Economics, Accounting and Finance ( email )

PO Box 4600
FIN-90014 University of Oulu
Finland

Hong-Zhou Li (Contact Author)

Dongbei University of Finance and Economics ( email )

China

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