据悉，济南大学绿色发展研究院张伟等撰写的论文《Convergence analysis of regional energy efficiency in china based on large-dimensional panel data model》已在《Journal of Cleaner Production》（SSCI）2017年第142期发表。

Abstract:With the advent of the era of big data, large-dimensional spatial panel data is gradually used to do empirical research in the macroeconomic field. This paper adopts a Data Envelopment Analysis (DEA) approach to calculate regional energy efficiency based on the perspective of total-factor energy efficiency using statistical data of 30 administrative regions in China. On basis of spatial effects, the paper assesses the convergence of regional energy efficiency in China using large-dimensional spatial panel data model. Our results indicate that (1) There is significant spatial autocorrelation and clear spatial effects in China's regional energy efficiency. Thus, spatial effects should not be ignored when assessing the convergence of regional energy efficiency in China; (2) During the period from 2000 to 2014 China’s regional energy efficiency not only exhibits absolute β-convergence but also exhibits conditional β-convergence, the convergence rate is higher than the rate of absolute convergence after controlling for the initial conditions of the level of economic development, foreign direct investment and government influence; (3) The convergence rate of China’s regional energy efficiency from 2004 to 2014 is higher than the convergence rate for the period of 2000 to 2004, which indicates that industry transfer has contributed to improvement in the convergence of regional energy efficiency in China since 2004.

Keywords:energy efficiency; convergence; spatial effect; industry transfer

Citation:Wei Zhang, Xiongfeng Pan, Yaobo Yan, Xianyou Pan (2017). Convergence analysis of regional energy efficiency in china based on large-dimensional panel datamodel[J]. Journal of Cleaner Production, Volume 142, Part2, 801–808.

（李磊磊，2017-02-28）