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    王群伟

    • 教授 博士生导师
    • 招生学科专业:
      应用经济学 -- 【招收硕士研究生】 -- 经济与管理学院
      金融 -- 【招收硕士研究生】 -- 经济与管理学院
      机械 -- 【招收博士、硕士研究生】 -- 经济与管理学院
      管理科学与工程 -- 【招收博士、硕士研究生】 -- 经济与管理学院
      工商管理 -- 【招收非全日制硕士研究生】 -- MBA中心
      会计 -- 【招收非全日制硕士研究生】 -- MBA中心
    • 性别:男
    • 毕业院校:南京航空航天大学
    • 学历:南京航空航天大学
    • 所在单位:经济与管理学院
    • 办公地点:经济与管理学院6楼623室(行政办公室)
      经济与管理学院6楼1019室(教师办公室)
    • 联系方式:Email:wqw0305@126.com
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    Contributions to sector-level carbon intensity change: An integrated decomposition analysis

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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:

    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