{"title":"中国智慧城市政策对城市绿色增长的影响评估:城市韧性的中介作用","authors":"Lihong Wang , Feng Li , Xuemei Li , Shiwei Zhou","doi":"10.1016/j.scs.2025.106471","DOIUrl":null,"url":null,"abstract":"<div><div>Using panel data of 280 cities above prefecture-level in China between 2003 and 2021, this paper estimates the urban green growth by the super-efficient SBM-GML model and assesses the impact of smart city policy (<em>SCP</em>) on urban green growth by utilizing the time-varying difference-in-differences (TV-DID) model. Additionally, this paper systematically examines the influence of urban resilience (<em>UR</em>) on green total factor productivity (<em>GTFP</em>), and elucidates the mechanisms through which <em>UR</em> affects both smart city development and <em>GTFP</em> using mediation analysis. The main findings indicate that: (1) <em>SCP</em> promotes <em>GTFP</em> by enhancing technological effects, allocation effects, and structural effects. (2) <em>UR</em> significantly improves a city’s <em>GTFP</em>. Specifically, economic resilience fosters <em>GTFP</em> through technological progress and industrial upgrading, while social resilience contributes through green innovation. Ecological resilience improves <em>GTFP</em> through infrastructure development and government intervention, while infrastructure resilience helps alleviate labor mismatches and improve human capital, thereby promoting total factor productivity growth. (3) <em>UR</em> mediates the relationship between <em>SCP</em> and <em>GTFP</em>. (4) As revealed by heterogeneity analysis, <em>SCP</em> and <em>UR</em> on <em>GTFP</em> vary across regions, resource endowments, and city size. The policy effects in eastern regions are significantly stronger than those in the central and western regions; resource-based cities exhibit more pronounced effects than non-resource cities; and super-cities experience stronger policy effects than non-super cities. Finally, derived from empirical evidence, specific policy recommendations are outlined.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106471"},"PeriodicalIF":10.5000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing smart cities policy on urban green growth in China: The mediating effect of urban resilience\",\"authors\":\"Lihong Wang , Feng Li , Xuemei Li , Shiwei Zhou\",\"doi\":\"10.1016/j.scs.2025.106471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Using panel data of 280 cities above prefecture-level in China between 2003 and 2021, this paper estimates the urban green growth by the super-efficient SBM-GML model and assesses the impact of smart city policy (<em>SCP</em>) on urban green growth by utilizing the time-varying difference-in-differences (TV-DID) model. Additionally, this paper systematically examines the influence of urban resilience (<em>UR</em>) on green total factor productivity (<em>GTFP</em>), and elucidates the mechanisms through which <em>UR</em> affects both smart city development and <em>GTFP</em> using mediation analysis. The main findings indicate that: (1) <em>SCP</em> promotes <em>GTFP</em> by enhancing technological effects, allocation effects, and structural effects. (2) <em>UR</em> significantly improves a city’s <em>GTFP</em>. Specifically, economic resilience fosters <em>GTFP</em> through technological progress and industrial upgrading, while social resilience contributes through green innovation. Ecological resilience improves <em>GTFP</em> through infrastructure development and government intervention, while infrastructure resilience helps alleviate labor mismatches and improve human capital, thereby promoting total factor productivity growth. (3) <em>UR</em> mediates the relationship between <em>SCP</em> and <em>GTFP</em>. (4) As revealed by heterogeneity analysis, <em>SCP</em> and <em>UR</em> on <em>GTFP</em> vary across regions, resource endowments, and city size. The policy effects in eastern regions are significantly stronger than those in the central and western regions; resource-based cities exhibit more pronounced effects than non-resource cities; and super-cities experience stronger policy effects than non-super cities. Finally, derived from empirical evidence, specific policy recommendations are outlined.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"128 \",\"pages\":\"Article 106471\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-05-21\",\"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/S2210670725003476\",\"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/S2210670725003476","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}
Assessing smart cities policy on urban green growth in China: The mediating effect of urban resilience
Using panel data of 280 cities above prefecture-level in China between 2003 and 2021, this paper estimates the urban green growth by the super-efficient SBM-GML model and assesses the impact of smart city policy (SCP) on urban green growth by utilizing the time-varying difference-in-differences (TV-DID) model. Additionally, this paper systematically examines the influence of urban resilience (UR) on green total factor productivity (GTFP), and elucidates the mechanisms through which UR affects both smart city development and GTFP using mediation analysis. The main findings indicate that: (1) SCP promotes GTFP by enhancing technological effects, allocation effects, and structural effects. (2) UR significantly improves a city’s GTFP. Specifically, economic resilience fosters GTFP through technological progress and industrial upgrading, while social resilience contributes through green innovation. Ecological resilience improves GTFP through infrastructure development and government intervention, while infrastructure resilience helps alleviate labor mismatches and improve human capital, thereby promoting total factor productivity growth. (3) UR mediates the relationship between SCP and GTFP. (4) As revealed by heterogeneity analysis, SCP and UR on GTFP vary across regions, resource endowments, and city size. The policy effects in eastern regions are significantly stronger than those in the central and western regions; resource-based cities exhibit more pronounced effects than non-resource cities; and super-cities experience stronger policy effects than non-super cities. Finally, derived from empirical evidence, specific policy recommendations are outlined.
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;