{"title":"[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]。","authors":"Can-Ying Zeng, Dan-Ye Han, Zhuang-Tian Liu, Shao-Hua Wu","doi":"10.13227/j.hjkx.202406183","DOIUrl":null,"url":null,"abstract":"<p><p>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 CO<sub>2</sub> 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.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 10","pages":"6221-6232"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Influencing Factors and Mitigation Strategies for Carbon Dioxide Emissions in China Under Regional Economic Differentiation].\",\"authors\":\"Can-Ying Zeng, Dan-Ye Han, Zhuang-Tian Liu, Shao-Hua Wu\",\"doi\":\"10.13227/j.hjkx.202406183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 CO<sub>2</sub> 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.</p>\",\"PeriodicalId\":35937,\"journal\":{\"name\":\"环境科学\",\"volume\":\"46 10\",\"pages\":\"6221-6232\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"环境科学\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13227/j.hjkx.202406183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202406183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
[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.