王群伟
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所属单位:经济与管理学院
发表刊物:Energy Econ.
摘要:Exploring the factors driving sector-level carbon intensity change is important to inform targeted emission reduction policies. This paper proposes an integrated decomposition approach, combining production-theoretical decomposition analysis (PDA), index decomposition analysis (IDA) and attribution analysis (AA). The proposed approach can decompose sector-level carbon intensity change into nine driving factors, including two new pre-defined factors (i.e. the potential regional output structure effect and the output gap effect). This provides more detailed information about the influence of production technology related components, i.e. technical efficiency and technological change, and the contribution of each region to the individual driving factor. Industrial sectors across 30 provinces in China are used to demonstrate the integrated decomposition approach. The decomposition and attribution results show that the desirable output technological change effect is the dominant factor in decreasing industrial carbon intensity, of which Hebei, Shandong, Jiangsu, Liaoning and Henan are the main contributors. The potential energy intensity effect reduces industrial carbon intensity remarkably as well, mainly due to Henan, Liaoning, Shandong, Hunan and Inner Mongolia. Provinces are classifies into four performance groups based on the attribution results. Targeted industrial carbon intensity reduction policies should be implemented in different groups of provinces. © 2017 Elsevier B.V.
ISSN号:0140-9883
是否译文:否
发表时间:2018-02-01
合写作者:倪长也,Su, Bin,周鹏
通讯作者:王群伟