多层级视角下能源低碳转型因素组态研究— 基于我国30个省域的模糊集定性比较分析
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Northwestern Polytechnical University

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F426 F407.2

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Research on The Configuration of Energy Low-Carbon Transformation Factors from the Multi-Level Perspective ——Based on 30 provinces in China through fsQCA
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西北工业大学

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    摘要:

    推动能源低碳转型是缓解我国资源环境压力,支持经济社会可持续、高质量发展的关键。论文基于社会-技术转型理论,从集合思想和组态思维角度,将社会-技术转型多层级视角的分析框架与模糊集定性比较分析(fsQCA)方法相结合,基于我国能源系统发展实际,研究提炼出包括景观层、体制层和利基层三个层级的七个前因条件。进而,以能源低碳转型为结果要素,以我国30个省域为案例对象,采用fsQCA方法,进行实证分析,归纳提炼出了影响我国能源低碳转型的多元化因素组态,并基于南北区域差异,构建了多种能源低碳转型模式,提出了相应的对策建议。

    Abstract:

    Promoting the low-carbon transformation of energy is the key to relieve the pressure of resources and environment, and to promote the sustainable and high-quality development of economy and society. Based on the theory of Socia-Technology transformation, this paper combines the multi-level perspective of Socia-Technology transformation with the method of fuzzy-set qualitative comparative analysis (fsQCA) from the perspective of collective thinking and configuration thinking, and based on the actual development of China''s energy system, studies and extracts seven antecedents including the three levels of landscape level, regime level and niche level. Then, taking the low-carbon transformation of energy as the outcome factor, taking 30 provinces and regions of China as the case, using the fsQCA method, empirical analysis is carried out, and the diversified factors configuration that affect the low-carbon transformation of energy in China is summarized and refined. Based on the regional differences between the north and the south, multiple low-carbon transformation modes of energy sources are constructed, and give coping tactics.

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李慧,涂家豪.多层级视角下能源低碳转型因素组态研究— 基于我国30个省域的模糊集定性比较分析[J].技术经济,2020,39(8):152-160.

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  • 收稿日期:2020-03-02
  • 最后修改日期:2020-08-05
  • 录用日期:2020-04-20
  • 在线发布日期: 2020-08-28
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