中国工业碳排放的网络结构及影响因素研究

doi:10.13776/j.cnki.resourcesindustries.20231030.002

摘要/Abstract

摘要： 工业是国民经济的重要组成部分，同时也是碳排放的主要来源。本文利用修正的引力模型与社会网络分析法对2005—2019年中国工业碳排放进行社会网络分析，用QAP分析法(二次分配法)探究了工业碳排放的影响因素。结果表明：1)整体网络特征分析表明各省市之间的空间联系日趋紧密，节能减排工作需要各省市通力合作。2)江苏、浙江、上海、天津等东部省份在社会网络分析中居于中心地位，联系更加复杂，与其他省份发生联系难度低，且控制着更多的资源;而中西部省份则相对处于劣势地位。3)东部沿海省份居于核心地位，核心区的内部联系虽高于边缘区，但增长速度低于边缘区，边缘区内部联系日趋紧密。4)QAP回归分析结果表明工业化水平、科技水平、能源强度、产业结构、能源工业五个变量的差异促进工业碳排放空间关联关系的形成。最后，根据社会网络结构特征和QAP回归分析提出了加强区域合作、实现区域协同治理，加快发展方式绿色转型等有关建议。

关键词: 工业碳排放, 社会网络分析, QAP回归分析, 绿色低碳

Abstract:

Industry is a critical part of economy, and also a major source for carbon emission. This paper uses calibrated gravity model and social network method to analyze China ‘s 2005 to 2019 industrial carbon emission, and applies QAP to explore its factors. The overall network features suggest a rising spatial connection among provinces, who need to collaborate thoroughly toward energy-saving-emission-reducing. Eastern provinces/cities such as Jiangsu, Zhejiang, Shanghai and Tianjin are positioning in the centers of social networks with a more complicated connection, less difficulties in connecting other provinces and controlling more resources, while the central and western provinces are on the contrast. The eastern coastal provinces are at the centers, with their inner connection in the core higher than in the margin, but growing rate lower, suggesting an increasing inner connection inside the marginal areas. QAP regression results show that the five variables, industrialization, technology, energy intensity, industrial structure and energy industry, can promote spatial connection of industrial carbon emission from their variances. This paper presents suggestions on boosting regional cooperation, realizing regional collaboration, accelerating green transformation in terms of social network features and SAP regression.

Key words:

industrial carbon emission, social network analysis, QAP regression, green low-carbon

中图分类号:

F207
F270.3

关伟, 王勇, 许淑婷. 中国工业碳排放的网络结构及影响因素研究[J]. 资源与产业, 2023, 25(5): 40-49.

GUAN Wei, WANG Yong, XU Shuting. NETWORK STRUCTURE AND FACTORS OF CHINA’S INDUSTRIAL CARBON EMISSION[J]. Resources & Industries, 2023, 25(5): 40-49.

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