Yicheng Zhou , Malin Song , Xiaofeng Long , Wenjie Ouyang
{"title":"诅咒还是祝福:数字普惠金融如何影响中国城市用电?","authors":"Yicheng Zhou , Malin Song , Xiaofeng Long , Wenjie Ouyang","doi":"10.1016/j.scs.2025.106348","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of climate change, it is essential to give full play to the role of financial instruments and policies. Digital inclusive finance (DIF) is an important product of the combination of digital economy and traditional finance. This study uses the panel data of 282 cities in China from 2011 to 2021 to investigate the impact and mechanisms of DIF on urban electricity consumption (UEC). The results show that DIF and UEC show a significant inverted U-shaped relationship. However, the inverted U-shaped relationship shows obvious heterogeneity in different stages and regions. Meanwhile, DIF can produce the nonlinear relationship to UEC through agglomeration effect and technical effect. In addition, the inclusive effect of DIF is significant. DIF can narrow the electricity consumption gap between cities, especially in the coverage breadth and use depth of DIF. The theoretical and empirical evidence in this paper provides new findings for understanding the relationship between DIF and energy utilization.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106348"},"PeriodicalIF":10.5000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Curse or blessing: How does digital inclusive finance affect urban electricity consumption in China?\",\"authors\":\"Yicheng Zhou , Malin Song , Xiaofeng Long , Wenjie Ouyang\",\"doi\":\"10.1016/j.scs.2025.106348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the context of climate change, it is essential to give full play to the role of financial instruments and policies. Digital inclusive finance (DIF) is an important product of the combination of digital economy and traditional finance. This study uses the panel data of 282 cities in China from 2011 to 2021 to investigate the impact and mechanisms of DIF on urban electricity consumption (UEC). The results show that DIF and UEC show a significant inverted U-shaped relationship. However, the inverted U-shaped relationship shows obvious heterogeneity in different stages and regions. Meanwhile, DIF can produce the nonlinear relationship to UEC through agglomeration effect and technical effect. In addition, the inclusive effect of DIF is significant. DIF can narrow the electricity consumption gap between cities, especially in the coverage breadth and use depth of DIF. The theoretical and empirical evidence in this paper provides new findings for understanding the relationship between DIF and energy utilization.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"125 \",\"pages\":\"Article 106348\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Cities and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210670725002252\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725002252","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Curse or blessing: How does digital inclusive finance affect urban electricity consumption in China?
In the context of climate change, it is essential to give full play to the role of financial instruments and policies. Digital inclusive finance (DIF) is an important product of the combination of digital economy and traditional finance. This study uses the panel data of 282 cities in China from 2011 to 2021 to investigate the impact and mechanisms of DIF on urban electricity consumption (UEC). The results show that DIF and UEC show a significant inverted U-shaped relationship. However, the inverted U-shaped relationship shows obvious heterogeneity in different stages and regions. Meanwhile, DIF can produce the nonlinear relationship to UEC through agglomeration effect and technical effect. In addition, the inclusive effect of DIF is significant. DIF can narrow the electricity consumption gap between cities, especially in the coverage breadth and use depth of DIF. The theoretical and empirical evidence in this paper provides new findings for understanding the relationship between DIF and energy utilization.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;