{"title":"Unlocking Urban Ecological Resilience: The Dual Role of Environmental Regulation and Green Technology Innovation","authors":"Chenlin Lan , Xingwei Li , Bei Peng , Xiangxue Li","doi":"10.1016/j.scs.2025.106466","DOIUrl":null,"url":null,"abstract":"<div><div>The growing complexity and dynamism of the environmental challenges driven by rapid urbanization pose significant risks to achieving sustainable development goals, highlighting the urgent need to assess urban ecological resilience (<em>UER</em>). This paper aims to evaluate the influence of environmental regulation (<em>ER</em>) and green technology innovation (<em>GTI</em>) on <em>UER</em>, particularly focusing on understanding their interactive effects. Using a resistance‒adaptability‒resilience (RAR) theoretical framework, we construct a <em>UER</em> evaluation system categorized into four dimensions: driving, resistance, adaptability and resilience (DRAR). This paper applies the entropy‒weight TOPSIS (EW‒TOPSIS) method combined with system GMM (SYS‒GMM) estimation to evaluate how <em>ER</em> and <em>GTI</em> impact <em>UER</em> across 247 China's prefecture‒level cities from 2010‒2022. The key findings included the following: (1) <em>UER</em> exhibited an upward trend from 2010‒2022, with a narrowing gap between cities and a westward decreasing trend; (2) <em>ER</em> hindered the increase in <em>UER</em> during this period; (3) further mechanism analysis revealed that <em>ER</em> indirectly reduced <em>UER</em> by weakening <em>GTI</em>; (4) regional heterogeneity analysis revealed that <em>ER</em> exhibits a robust negative association with U<em>ER</em> in China's eastern, central, and northeastern zones, while western region shows positive statistically significant <em>ER‒UER</em> linkage; and (5) resource heterogeneity analysis indicated that <em>ER</em> demonstrates a significant negative correlation with <em>UER</em> in resource‒based cities and non‒resource‒based cities. This paper offers valuable insights into how <em>ER</em> and <em>GTI</em> influence <em>UER</em>. Policymakers should implement differentiated <em>ER</em> and innovation‒driven strategies to establish mechanisms for enhancing <em>UER</em> that promote regional coordination, policy synergy, and technological integration.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"128 ","pages":"Article 106466"},"PeriodicalIF":10.5000,"publicationDate":"2025-05-17","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/S2210670725003427","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}
引用次数: 0
Abstract
The growing complexity and dynamism of the environmental challenges driven by rapid urbanization pose significant risks to achieving sustainable development goals, highlighting the urgent need to assess urban ecological resilience (UER). This paper aims to evaluate the influence of environmental regulation (ER) and green technology innovation (GTI) on UER, particularly focusing on understanding their interactive effects. Using a resistance‒adaptability‒resilience (RAR) theoretical framework, we construct a UER evaluation system categorized into four dimensions: driving, resistance, adaptability and resilience (DRAR). This paper applies the entropy‒weight TOPSIS (EW‒TOPSIS) method combined with system GMM (SYS‒GMM) estimation to evaluate how ER and GTI impact UER across 247 China's prefecture‒level cities from 2010‒2022. The key findings included the following: (1) UER exhibited an upward trend from 2010‒2022, with a narrowing gap between cities and a westward decreasing trend; (2) ER hindered the increase in UER during this period; (3) further mechanism analysis revealed that ER indirectly reduced UER by weakening GTI; (4) regional heterogeneity analysis revealed that ER exhibits a robust negative association with UER in China's eastern, central, and northeastern zones, while western region shows positive statistically significant ER‒UER linkage; and (5) resource heterogeneity analysis indicated that ER demonstrates a significant negative correlation with UER in resource‒based cities and non‒resource‒based cities. This paper offers valuable insights into how ER and GTI influence UER. Policymakers should implement differentiated ER and innovation‒driven strategies to establish mechanisms for enhancing UER that promote regional coordination, policy synergy, and technological integration.
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;