[区域经济分化下中国二氧化碳排放的影响因素及减缓策略]。

Q2 Environmental Science
Can-Ying Zeng, Dan-Ye Han, Zhuang-Tian Liu, Shao-Hua Wu
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引用次数: 0

摘要

碳排放影响因素的识别对于碳减排至关重要,不同经济水平地区的碳排放特征和影响因素可能不一致,从而导致减排策略的差异。因此,本研究在全国范围内研究区域经济分化背景下中国碳排放的影响因素。首先进行聚类分析,得到高碳排放的高经济、低碳排放的高经济、高碳排放的低经济、低碳排放的低经济四个集群。然后,利用STIRPAT模型对不同经济发展水平和二氧化碳排放特征的区域进行关键影响因素识别。最后,提出了差别化的碳减排策略。研究结果揭示了影响因素及其程度的空间差异。人口增长、能源消耗和第一、第二产业发展不再是影响中国碳排放增长的主要因素。人口从低经济区向高经济区迁移,导致高经济区常住人口增加,从而促进了高经济区的碳排放,同时抑制了低经济区的碳排放。然而,高经济区域人均家庭规模的增加在一定程度上缓解了碳排放。人口密度和城市化率与CO2排放呈倒u型关系。人均GDP、单位能源消费碳排放和单位能源消费GDP在所有地区都有显著的正效应,尽管高经济区的影响低于低经济区。第三产业比重对碳排放的影响仅在高经济区内显著,且对低碳排放区有正向影响,对高碳排放区有负向影响。在节能减排的大背景下,地方政府要根据自身特点制定相应的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Influencing Factors and Mitigation Strategies for Carbon Dioxide Emissions in China Under Regional Economic Differentiation].

The identification of influential factors of carbon emissions is crucial for carbon reduction, and the carbon emission characteristics and influencing factors of regions with different economic levels may be inconsistent, leading to differences in emission reduction strategies. Therefore, this study investigated the influencing factors of China's carbon emissions within the context of regional economic differentiation at a national scale. First, cluster analysis was conducted, resulting in four clusters labeled as follows: high economy with high carbon emission, high economy with low carbon emission, low economy with high carbon emission, and low economy with low carbon emission. Then, the STIRPAT model was used to identify key influencing factors in different regions with different levels of economic development and characteristics of carbon dioxide emissions. Finally, differentiated carbon emission reduction strategies were developed and proposed. The findings revealed spatial variations in both the influencing factors and their degrees. Population growth, energy consumption, and the development of primary and secondary industries are no longer the predominant factors influencing the growth of China's carbon emissions. The migration of population from low economic zones to high economic zones has led to an increase in the resident population in high economic zones, thereby promoting carbon emissions in these areas while suppressing emissions in low economic zones. However, the increase in per capita household size in high economic zones mitigates carbon emissions to some extent. Population density and urbanization rate exhibit an inverted U-shaped relationship with CO2 emissions. GDP per capita, carbon emission per unit of energy consumption, and GDP per unit of energy consumption have significant positive effects across all regions, although their impact is lower in high economic zones than in low economic zones. The proportion of tertiary industry significantly impacts carbon emission within only high economic zones, with both positive effects on low-carbon emission areas and negative effects on high-carbon emission areas. In the context of energy conservation and emission reduction performance, local governments should formulate policies tailored to their respective characteristics.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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