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首页> 外文期刊>Journal of Cleaner Production >A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region
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A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region

机译：两级归因结构分解分析，揭示次区域和部门层面的驱动因素：以京津冀地区为例

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摘要

Structural decomposition analysis (SDA) is a very commonly used method for exploring the driving forces of environmental pressure (EP). Enhanced with attribution analysis, SDA can further decompose the driving forces of EP into economic sectors or sub-regions and provide more detailed evidence-based policymaking. However, current studies of SDA with attribution analysis have not been sufficiently developed and are only one-tiered, i.e., they decompose the driving forces of EP into either a sub-regional or an economic sectoral level. In this study, we introduce a method of SDA with a two-tiered attribution analysis, which is capable of 1) exploring the driving force of environmental pressure at a multi-regional level and 2) further decomposing the driving forces of EP into both sub-regions and economic sectors. Based on this method, we explore the driving forces for the change of energy consumption in the Jing-Jin-Ji region during the period of 2007-2012. Results of this case study indicate that technological change, final demand structure, and final demand composition respectively contributed -129%, 12%, and -3% while affluence, production structure, total population, and population structure respectively contributed 129%, 77%, 38%, and 2% to energy consumption change in the region. In terms of sub-regional and economic sectoral level contributions, Hebei province and the chemical and smelting and rolling of metals industries were the most prominent contributors. Through this case study, we situate the strengths and limitations of the two-tiered attribution SDA method and propose key policy suggestions and future research directions. (C) 2018 Elsevier Ltd. All rights reserved.
机译：结构分解分析（SDA）是探索环境压力（EP）驱动力的一种非常常用的方法。通过归因分析的增强，SDA可以进一步将EP的驱动力分解为经济部门或次区域，并提供更详细的基于证据的决策。但是，目前对利用归因分析进行SDA的研究还不够充分，仅是一个层次，即它们将EP的驱动力分解为次区域或经济部门水平。在这项研究中，我们介绍了一种具有两级归因分析的SDA方法，该方法能够（1）在多区域级别上探索环境压力的驱动力，以及2）进一步将EP的驱动力分解为两个子域地区和经济部门。基于此方法，我们探索了京津冀地区2007-2012年能源消耗变化的驱动力。该案例研究的结果表明，技术变革，最终需求结构和最终需求构成分别贡献了-129％，12％和-3％，而富裕程度，生产结构，总人口和人口结构分别贡献了129％，77％ ，该区域能源消耗变化的38％和2％。就次区域和经济部门的贡献而言，河北省以及金属工业的化学，冶炼和轧制是最突出的贡献者。通过本案例研究，我们将了解两级归因SDA方法的优势和局限性，并提出关键的政策建议和未来的研究方向。 （C）2018 Elsevier Ltd.保留所有权利。

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  • 来源
    《Journal of Cleaner Production》 |2019年第10期|165-175|共11页
  • 作者

    Yu Yadong; Liang Sai; Zhou Wenji; Ren Hongtao; Kharrazi Ali; Zhu Bing;

  • 作者单位

    East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China|Tsinghua Univ, Dept Chem Engn, Tsinghua Garden Rd 1, Beijing 100084, Peoples R China;

    Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China;

    Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria;

    East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;

    Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria;

    Tsinghua Univ, Dept Chem Engn, Tsinghua Garden Rd 1, Beijing 100084, Peoples R China|Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria;

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  • 正文语种 eng
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  • 关键词

    Structural decomposition analysis; Multi-regional level; Environmental pressure; Driving force; Attribution analysis;

    机译：结构分解分析;多区域水平;环境压力;驱动力;归因分析;

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