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Indexed by:期刊论文

Date of Publication:2017-01-20

Journal:JOURNAL OF CLEANER PRODUCTION

Included Journals:SCIE、EI、SSCI、Scopus

Volume:142

Issue:,SI

Page Number:801-808

ISSN No.:0959-6526

Key Words:Energy efficiency; Convergence; Spatial effect; Industry transfer; Large-dimensional panel data model

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 beta-convergence but also exhibits conditional beta-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 2000-2004, which indicates that industry transfer has contributed to improvement in the convergence of regional energy efficiency in China since 2004. (C) 2016 Elsevier Ltd. All rights reserved.