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Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches

School of Management, China University of Mining and Technology, Xuzhou 221116, China
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Int. J. Environ. Res. Public Health 2018, 15(12), 2712; https://doi.org/10.3390/ijerph15122712
Received: 4 November 2018 / Revised: 23 November 2018 / Accepted: 28 November 2018 / Published: 1 December 2018
(This article belongs to the Special Issue Circular Economy from Process to Policy)
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Abstract

As the world’s top carbon-emitting country, China has placed great emphasis on understanding the driving factors of carbon emissions and developing appropriate emissions reduction policies. Due to the obvious variations in carbon emissions among various industries in China, corresponding policies need to be formulated for different industries. Through data envelopment analysis, this study introduced the Shephard distance function into the logarithmic mean Divisia index (LMDI) for decomposition analysis, built a carbon emissions decomposition model of 23 industries in China during 2003–2015, and analyzed the impact of 10 factors driving carbon emissions. The main results are as follows. (1) Potential gross domestic production (GDP) is a crucial factor for increasing carbon emissions, whereas potential energy intensity and technological advances of carbon emissions have a significant inhibitory effect on carbon emissions; (2) the technological progress of energy usage and the technological advances of GDP output are manifested by inhibiting carbon emissions at the early stage of development and increasing emissions at the later stage; (3) the structure of coal-based energy consumption is difficult to change in the long term, resulting in a weak effect of energy mix on carbon emissions and an increase in carbon emissions due to the potential energy carbon intensity factor. View Full-Text
Keywords: carbon emissions; factor decomposition; LMDI; Shephard distance function; PDA; Chinese industry carbon emissions; factor decomposition; LMDI; Shephard distance function; PDA; Chinese industry
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Dong, F.; Gao, X.; Li, J.; Zhang, Y.; Liu, Y. Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches. Int. J. Environ. Res. Public Health 2018, 15, 2712.

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