E3S Web Conf.
Volume 53, 20182018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|Number of page(s)||6|
|Section||Environmental Protection, Pollution and Treatment|
|Published online||14 September 2018|
Optimization of Inter-industry Carbon Emission Transfer Structure Based on Decoupling Effects: an empirical analysis from Chinese industry
School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China
2 School of Environment and Safety engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China
* Corresponding author. E-mail address:firstname.lastname@example.org(Licheng Sun). Tel: +86 15850455868
This paper utilizes 27 Chinese industry sectors as study objects, and measures the decoupling effects of the industrial carbon emission transfer; furthermore, this paper proposes several optimizing strategies for an inter-industry carbon emission transfer structure toward the realization of dual goals, i.e., industrial economic development and industrial carbon emission reduction. The research result shows that: Different industries show different decoupling effects of carbon emission transfer, and the distribution of the six states of decoupling effects could all be observed. With respect to dynamic variations, the decoupling effects of industrial carbon emission transfer were optimal during the late stage, and the decoupling effects during 2010-2012 were the most optimal. With respect to the optimizing strategies for the inter-industry carbon emission transfer, efforts should be focused on increasing the carbon emission exports, while reducing the carbon emission imports of 11 industries (CMWI and others). Future efforts should be directed at increasing carbon emission imports and reducing carbon emission exports in the three industries of CLII, PPSM, and MPI, while increasing both carbon emission exports and imports in 10 industries (FMTP and others), and reducing both carbon emission imports and exports in the three industries of MMII, OMW, and WRT.
© The Authors, published by EDP Sciences, 2018
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