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| 中国工业减污降碳协同效应及其影响机制 | |
| 引用本文： | 陈晓红,张嘉敏,唐湘博.中国工业减污降碳协同效应及其影响机制[J].资源科学,2022,44(12):2387-2398. |
| 作者姓名： | 陈晓红 张嘉敏 唐湘博 |
| 作者单位： | 1.湖南工商大学前沿交叉学院，长沙 410205 2.中南大学商学院，长沙 410083 3.湖南工商大学理学院，长沙 410205 |
| 基金项目： | 国家自然科学基金基础科学中心项目(72088101);国家自然科学基金面上项目(72174060);湖南省自科基金青年项目(2020JJ5103) |
| 摘 要： | 工业是大气污染物和CO2排放的主要部门，也是国家推行减污降碳协同增效的主力军。本文基于2011—2019年中国工业省际面板数据，运用固定效应模型、并行多重调节模型分析工业减污降碳协同效应及其影响机制。研究表明：①中国工业存在明显的减污降碳协同效应，即在大气污染物排放当量减少的同时会显著促进碳排放量的减少；②能源效率、能源消费结构、产业结构和投资规模是影响协同效应的重要调节变量，其中能源效率对减污降碳协同效应呈正向调节效应，而能源消费结构、产业结构和投资规模对协同效应呈负向调节效应；③东部、中部和西部地区工业减污降碳协同效应及影响机制差异明显，不同调节因素对协同效应的影响程度也存在明显的区域异质性，其中产业结构因素对各地区协同效应均产生较强的调节效果。最后，本文从能源结构调整、产业结构优化、能源效率提升和区域差异化策略等方面提出工业减污降碳协同增效建议。 |
| 关 键 词： | 工业 减污降碳 协同效应 调节效应 固定效应模型 并行多重调节模型 中国 |
| 收稿时间： | 2022-05-24 |
| 修稿时间： | 2022-11-30 |
Synergistic effect of industrial air pollution and carbon emission reduction in China and influencing mechanism |
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| CHEN Xiaohong,ZHANG Jiamin,TANG Xiangbo.Synergistic effect of industrial air pollution and carbon emission reduction in China and influencing mechanism[J].Resources Science,2022,44(12):2387-2398. | |
| Authors: | CHEN Xiaohong ZHANG Jiamin TANG Xiangbo |
| Institution: | 1. School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China 2. School of Business, Central South University, Changsha 410083, China 3. School of Science, Hunan University of Technology and Business, Changsha 410205, China |
| Abstract: | The industrial sector is the main source of air pollutant and carbon dioxide emissions, and is also the main contributor to the implementation of promoting synergies and increasing efficiency of pollution and carbon emission reduction in China. Based on China’s industrial provincial panel data from 2011 to 2019, this study used the fixed effect model and the parallel multiple modulation model to analyze the synergistic effect of industrial pollution reduction and carbon emission reduction and its influencing mechanism. The results show that: (1) There is obvious synergistic effect of pollution and carbon emission reduction in China’s industry, that is, reducing the emission equivalent of air pollutants will significantly promote the reduction of carbon emissions; (2) Energy efficiency, energy consumption structure, industrial structure, and investment scale are important regulatory variables that affect the synergistic effect. Among them, energy efficiency has a positive regulatory effect on the synergistic effect of pollution and carbon emission reduction, while energy consumption structure, industrial structure, and investment scale have a negative regulatory effect on the synergistic effect; (3) The synergistic effect of industrial pollution and carbon emission reduction in the eastern, central, and western regions of China is evidently different, and there is a clear regional heterogeneity of different regulatory factors on the synergistic effect, among which industrial structure factors have a strong regulatory effect on the synergistic effect in all regions. Finally, this article put forward some recommendations on industrial pollution and carbon emission reduction synergy from the aspects of energy structure adjustment, industrial structure optimization, energy efficiency improvement, and regional differentiated strategies. |
| Keywords: | industry air pollution and carbon emission reduction synergistic effect moderating effect fixed effect model parallel multiple modulation model China |
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