4.7 Article

Temporospatial pattern of carbon emission efficiency of China's energy-intensive industries and its policy implications

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 286, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.125507

Keywords

Carbon emission efficiency; Temporospatial pattern; Energy-intensive industries; Three-stage DEA; China

Funding

  1. National Natural Science Foundation of China [41971241]
  2. MOE (Ministry of Education in China) Project of Humanities and Social Sciences [17YJCZH257]
  3. Science & Technology Innovation Talents in Universities of Henan Province [2021-CX-011]
  4. Key Scientific Research Project of Universities of Henan Province [21A210026]

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The carbon emission efficiency (CEE) of China's energy-intensive industries decreased from 0.649 to 0.587 during 2005-2017, with a significant spatial heterogeneity and agglomeration. Different provinces in China can be categorized into five types based on the change in CEE. Industry scale and research and development are promoting factors for CEE, while energy intensity, capital formation rate, and water intensity are negative factors.
Energy-intensive industries are the primary sectors of energy and resources consumption and carbon emissions. Exploring the temporospatial pattern and influencing factors of carbon emission efficiency (CEE) of energy-intensive industries helps discover the contribution of energy-intensive industries to regional carbon emissions and formulate different regional low-carbon industry development strategies. Through three-stage data envelopment analysis (DEA) model, the CEE of energy-intensive industries of China was estimated from provincial level, and the temporospatial distribution and influencing factors of CEE were analyzed by spatial autocorrelation analysis and Tobit model. The results showed that CEE of energy-intensive industries decreased from 0.649 to 0.587 during 2005-2017 with a decreasing rate of 9.60% annually, while the carbon emissions increased from 0.80 to 1.31 billion tonnes during 2005-2017. CEE of energy-intensive industries in China has obvious spatial heterogeneity and spatial agglomeration. CEE of the eastern provinces is relatively higher, while that of the western regions is lower. It showed that the scale efficiency (SE) of energy-intensive industries is close to the optimal frontier, while the pure technical efficiency (PTE) of energy-intensive industries should be improved in the future. Change of CEE of China's provinces may fall into five categories: high-high-high, low-high-high, low-low-high, lowlow-low, and low-high-low. Industry scale (IS) and research and development (R&D) are promoting factors for the CEE of energy-intensive industries, while energy intensity (El), capital formation rate (CF) and water intensity (WI) are negative factors. To improve CEE and promote cleaner production of energy-intensive industries, the technological innovation capacity should be further improved, energy structure should be adjusted, energy and water consumption should be restrained and the open economic system should be further promoted in central and western China in the future, which help to realize the dislocation, coordination, and high-quality development of energy-intensive industries among China's provinces. (C) 2020 Elsevier Ltd. All rights reserved.

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