{"title":"[中国环境法规对电力行业二氧化碳排放的影响]。","authors":"Ya-Li Zheng, Wei Shi, Wei-Juan Wang, Ping Wang","doi":"10.13227/j.hjkx.202404110","DOIUrl":null,"url":null,"abstract":"<p><p>CO<sub>2</sub> emissions from the power sector are the main source of CO<sub>2</sub> emissions in China, and environmental regulation plays an irreplaceable role as a basic constraint for reducing carbon emissions. Based on China's provincial panel data from 2003-2019, this study analyzes the spatio-temporal characteristics of different types of environmental regulatory intensity and CO<sub>2</sub> emissions from the power sector by using kernel density estimation and standard deviation ellipses. Then, the geographically and temporally weighted regression model is constructed to explore the impacts of command-based, market-based, and voluntary environmental regulations on CO<sub>2</sub> emissions in the power industry. The results showed the following: ① For different types of environmental regulation: in time, the market-based environmental regulation kernel density curves showed a \"rightward\" motion, with interregional differences expanding, while command-based and voluntary environmental regulation showed a shrinking interregional difference; in space, command-based environmental regulation gradually followed a northwest-southeast spatial distribution pattern. Market-based and voluntary environmental regulation all showed a northeast-southwest spatial distribution pattern. ② For CO<sub>2</sub> emissions from the power sector: in time, kernel density curves showed a \"rightward\" motion, with inter-regional differences expanding; in space, there was a gradual pattern of northwest-southeast spatial distribution pattern, and the center of gravity was moving to the northwest. ③ The impact of different types of environmental regulations on CO<sub>2</sub> emissions in the power sector had obvious spatial and temporal heterogeneity. In time, the regression coefficient of command-based environmental regulation in most provinces (cities, autonomous regions) had an increasing and subsequently declining trend, while market-based and voluntary environmental regulation decreased first and then increased. In space, spatial heterogeneity in the role of the three types of environmental regulation was evident; command-based environmental regulation gradually had a greater impact on the northern provinces (facilitation), market-based environmental regulation had a greater impact on the central-eastern provinces (facilitation), and voluntary environmental regulation had a greater impact on the eastern provinces (disincentive).</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3496-3508"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Impact of China's Environmental Regulations on CO<sub>2</sub> Emissions in the Power Sector].\",\"authors\":\"Ya-Li Zheng, Wei Shi, Wei-Juan Wang, Ping Wang\",\"doi\":\"10.13227/j.hjkx.202404110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>CO<sub>2</sub> emissions from the power sector are the main source of CO<sub>2</sub> emissions in China, and environmental regulation plays an irreplaceable role as a basic constraint for reducing carbon emissions. Based on China's provincial panel data from 2003-2019, this study analyzes the spatio-temporal characteristics of different types of environmental regulatory intensity and CO<sub>2</sub> emissions from the power sector by using kernel density estimation and standard deviation ellipses. Then, the geographically and temporally weighted regression model is constructed to explore the impacts of command-based, market-based, and voluntary environmental regulations on CO<sub>2</sub> emissions in the power industry. The results showed the following: ① For different types of environmental regulation: in time, the market-based environmental regulation kernel density curves showed a \\\"rightward\\\" motion, with interregional differences expanding, while command-based and voluntary environmental regulation showed a shrinking interregional difference; in space, command-based environmental regulation gradually followed a northwest-southeast spatial distribution pattern. Market-based and voluntary environmental regulation all showed a northeast-southwest spatial distribution pattern. ② For CO<sub>2</sub> emissions from the power sector: in time, kernel density curves showed a \\\"rightward\\\" motion, with inter-regional differences expanding; in space, there was a gradual pattern of northwest-southeast spatial distribution pattern, and the center of gravity was moving to the northwest. ③ The impact of different types of environmental regulations on CO<sub>2</sub> emissions in the power sector had obvious spatial and temporal heterogeneity. In time, the regression coefficient of command-based environmental regulation in most provinces (cities, autonomous regions) had an increasing and subsequently declining trend, while market-based and voluntary environmental regulation decreased first and then increased. In space, spatial heterogeneity in the role of the three types of environmental regulation was evident; command-based environmental regulation gradually had a greater impact on the northern provinces (facilitation), market-based environmental regulation had a greater impact on the central-eastern provinces (facilitation), and voluntary environmental regulation had a greater impact on the eastern provinces (disincentive).</p>\",\"PeriodicalId\":35937,\"journal\":{\"name\":\"环境科学\",\"volume\":\"46 6\",\"pages\":\"3496-3508\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-08\",\"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.202404110\",\"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.202404110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
[Impact of China's Environmental Regulations on CO2 Emissions in the Power Sector].
CO2 emissions from the power sector are the main source of CO2 emissions in China, and environmental regulation plays an irreplaceable role as a basic constraint for reducing carbon emissions. Based on China's provincial panel data from 2003-2019, this study analyzes the spatio-temporal characteristics of different types of environmental regulatory intensity and CO2 emissions from the power sector by using kernel density estimation and standard deviation ellipses. Then, the geographically and temporally weighted regression model is constructed to explore the impacts of command-based, market-based, and voluntary environmental regulations on CO2 emissions in the power industry. The results showed the following: ① For different types of environmental regulation: in time, the market-based environmental regulation kernel density curves showed a "rightward" motion, with interregional differences expanding, while command-based and voluntary environmental regulation showed a shrinking interregional difference; in space, command-based environmental regulation gradually followed a northwest-southeast spatial distribution pattern. Market-based and voluntary environmental regulation all showed a northeast-southwest spatial distribution pattern. ② For CO2 emissions from the power sector: in time, kernel density curves showed a "rightward" motion, with inter-regional differences expanding; in space, there was a gradual pattern of northwest-southeast spatial distribution pattern, and the center of gravity was moving to the northwest. ③ The impact of different types of environmental regulations on CO2 emissions in the power sector had obvious spatial and temporal heterogeneity. In time, the regression coefficient of command-based environmental regulation in most provinces (cities, autonomous regions) had an increasing and subsequently declining trend, while market-based and voluntary environmental regulation decreased first and then increased. In space, spatial heterogeneity in the role of the three types of environmental regulation was evident; command-based environmental regulation gradually had a greater impact on the northern provinces (facilitation), market-based environmental regulation had a greater impact on the central-eastern provinces (facilitation), and voluntary environmental regulation had a greater impact on the eastern provinces (disincentive).