{"title":"数字经济对中国省级碳排放的影响","authors":"Jiekun Song, Zhicheng Liu, Xueli Leng","doi":"10.1007/s12061-024-09582-x","DOIUrl":null,"url":null,"abstract":"<div><p>With the arrival of the Fourth Industrial Revolution, digital changes have occurred in various areas, such as production, circulation, and exchange, triggering efficiency and quality changes in the entire economic system and bringing new opportunities for China’s energy conservation and carbon reduction policies. Based on the panel data of 30 provinces in China from 2006 to 2020, this paper uses ArcGIS software and the Moran index method to analyze the spatial distribution characteristics and agglomeration effects of the digital economy and carbon emissions and uses the spatial Durbin model to analyze the impact mechanism of the digital economy on carbon emissions. The results show that the development of the digital economy can significantly suppress provincial carbon emissions, and the carbon reduction effect of the digital economy has a significant positive spatial spillover effect. The digital economy can reduce carbon emissions by promoting technological innovation and optimizing the industrial structure. However, the carbon emission reduction effect of energy structure optimization is uncertain due to energy rebound effects. The digital economy has a suppressive effect on carbon emissions in both the eastern and western regions, while the development of the digital economy in the central region increases carbon emissions due to factors such as the “resource curse”, income effects and energy rebound effects. Digital economy development plays an inhibitory role in the carbon emissions of regions, with the greater the digital economy level, the more significant the inhibitory effect. Based on the above results, corresponding suggestions are proposed to strengthen the development of the digital economy and promote carbon reduction.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"1209 - 1235"},"PeriodicalIF":2.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of the Digital Economy on Provincial Carbon Emissions in China\",\"authors\":\"Jiekun Song, Zhicheng Liu, Xueli Leng\",\"doi\":\"10.1007/s12061-024-09582-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the arrival of the Fourth Industrial Revolution, digital changes have occurred in various areas, such as production, circulation, and exchange, triggering efficiency and quality changes in the entire economic system and bringing new opportunities for China’s energy conservation and carbon reduction policies. Based on the panel data of 30 provinces in China from 2006 to 2020, this paper uses ArcGIS software and the Moran index method to analyze the spatial distribution characteristics and agglomeration effects of the digital economy and carbon emissions and uses the spatial Durbin model to analyze the impact mechanism of the digital economy on carbon emissions. The results show that the development of the digital economy can significantly suppress provincial carbon emissions, and the carbon reduction effect of the digital economy has a significant positive spatial spillover effect. The digital economy can reduce carbon emissions by promoting technological innovation and optimizing the industrial structure. However, the carbon emission reduction effect of energy structure optimization is uncertain due to energy rebound effects. The digital economy has a suppressive effect on carbon emissions in both the eastern and western regions, while the development of the digital economy in the central region increases carbon emissions due to factors such as the “resource curse”, income effects and energy rebound effects. Digital economy development plays an inhibitory role in the carbon emissions of regions, with the greater the digital economy level, the more significant the inhibitory effect. Based on the above results, corresponding suggestions are proposed to strengthen the development of the digital economy and promote carbon reduction.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"17 3\",\"pages\":\"1209 - 1235\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-024-09582-x\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09582-x","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
The Impact of the Digital Economy on Provincial Carbon Emissions in China
With the arrival of the Fourth Industrial Revolution, digital changes have occurred in various areas, such as production, circulation, and exchange, triggering efficiency and quality changes in the entire economic system and bringing new opportunities for China’s energy conservation and carbon reduction policies. Based on the panel data of 30 provinces in China from 2006 to 2020, this paper uses ArcGIS software and the Moran index method to analyze the spatial distribution characteristics and agglomeration effects of the digital economy and carbon emissions and uses the spatial Durbin model to analyze the impact mechanism of the digital economy on carbon emissions. The results show that the development of the digital economy can significantly suppress provincial carbon emissions, and the carbon reduction effect of the digital economy has a significant positive spatial spillover effect. The digital economy can reduce carbon emissions by promoting technological innovation and optimizing the industrial structure. However, the carbon emission reduction effect of energy structure optimization is uncertain due to energy rebound effects. The digital economy has a suppressive effect on carbon emissions in both the eastern and western regions, while the development of the digital economy in the central region increases carbon emissions due to factors such as the “resource curse”, income effects and energy rebound effects. Digital economy development plays an inhibitory role in the carbon emissions of regions, with the greater the digital economy level, the more significant the inhibitory effect. Based on the above results, corresponding suggestions are proposed to strengthen the development of the digital economy and promote carbon reduction.
期刊介绍:
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.