A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries

Emrouznejad, Ali and Yang, Guo liang (2016). A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries. Energy, 115 (Part 1), pp. 840-856.

Abstract

China has achieved significant progress in terms of economic and social developments since implementation of reform and open policy in 1978. However, the rapid speed of economic growth in China has also resulted in high energy consumption and serious environmental problems, which hindering the sustainability of China's economic growth. This paper provides a framework for measuring eco-efficiency with CO2 emissions in Chinese manufacturing industries. We introduce a global Malmquist-Luenberger productivity index (GMLPI) that can handle undesirable factors within Data Envelopment Analysis (DEA). This study suggested after regulations imposed by the Chinese government, in the last stage of the analysis, i.e. during 2011–2012, the contemporaneous frontier shifts towards the global technology frontier in the direction of more desirable outputs and less undesirable outputs, i.e. producing less CO2 emissions, but the GMLPI drops slightly. This is an indication that the Chinese government needs to implement more policy regulations in order to maintain productivity index while reducing CO2 emissions.

Publication DOI: https://doi.org/10.1016/j.energy.2016.09.032
Divisions: Aston Business School > Operations & Information Management
Additional Information: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: Chinese manufacturing industries,CO emissions,DEA,environmental efficiency,Malmquist–Luenberger productivity index,productivity,Pollution,Energy(all)
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2016-11-15
Authors: Emrouznejad, Ali ( 0000-0001-8094-4244)
Yang, Guo liang

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