Urban environmental quality of shrinking cities in China improved less than that of non-shrinking cites during 2000-2020: A quantitative comparison based on propensity score matching method

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Kaihong Yue , Kang Wu , Qingxu Huang , Yijin Wang , Tianci Gu , Yiming Hou , Xingyun Feng , Shiyu Zhang , Yizhou Xie , Jiasheng Wang
{"title":"Urban environmental quality of shrinking cities in China improved less than that of non-shrinking cites during 2000-2020: A quantitative comparison based on propensity score matching method","authors":"Kaihong Yue ,&nbsp;Kang Wu ,&nbsp;Qingxu Huang ,&nbsp;Yijin Wang ,&nbsp;Tianci Gu ,&nbsp;Yiming Hou ,&nbsp;Xingyun Feng ,&nbsp;Shiyu Zhang ,&nbsp;Yizhou Xie ,&nbsp;Jiasheng Wang","doi":"10.1016/j.scs.2025.106759","DOIUrl":null,"url":null,"abstract":"<div><div>Shrinking cities face challenges such as underutilized resources and environmental changes in light of declining disturbance of anthropogenic activities and lack of financial support. In this context, the evolution of their environmental quality must be analysed timely and effectively. This study aimed to investigate the spatiotemporal changes in the environmental quality of shrinking cities in China from 2000 to 2020, and compared the changes between shrinking cities and non-shrinking cities. We leveraged the Google Earth Engine platform to analyse the spatiotemporal changes in the environmental quality of shrinking cities in China over the past two decades, based on the comprehensive environmental index (CEI). Then, we applied the propensity score matching method to match shrinking cities with comparable non-shrinking counterparts for comparative analysis. We evaluated the effects of policy interventions by combining the Difference-in-Differences (DID) model and the synthetic control method (SCM). The findings showed that the environmental quality of shrinking cities follows a U-shaped trajectory. From 2000–2007, the environmental quality of shrinking cities decreased, followed by a substantial improvement after 2013. Over the past 20 years, the CEI of shrinking cities has increased by 5.70 %, which was slightly lower than the 6.89 % increase observed for non-shrinking cities. Specifically, shrinking cities in northern China exhibited the highest environmental quality and the highest improvement rate (5.99 %), whereas those in the southern, northwestern, and Qinghai‒Tibet regions exhibited modest improvements (increases of 5.34 %, 4.65 %, and 5.32 %, respectively). The decrease in PM<sub>2.5</sub> concentration was the main contributing factor to the improvement of environmental quality. Policy analysis showed that environmental policies such as the \"Air Pollution Prevention and Control Action Plan\" had a significant promoting effect on improving the environmental quality of shrinking cities. To promote sustainable development, it is vital to formulate targeted and regional-specific environmental improvement policies for shrinking cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"131 ","pages":"Article 106759"},"PeriodicalIF":12.0000,"publicationDate":"2025-09-01","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/S221067072500633X","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

Shrinking cities face challenges such as underutilized resources and environmental changes in light of declining disturbance of anthropogenic activities and lack of financial support. In this context, the evolution of their environmental quality must be analysed timely and effectively. This study aimed to investigate the spatiotemporal changes in the environmental quality of shrinking cities in China from 2000 to 2020, and compared the changes between shrinking cities and non-shrinking cities. We leveraged the Google Earth Engine platform to analyse the spatiotemporal changes in the environmental quality of shrinking cities in China over the past two decades, based on the comprehensive environmental index (CEI). Then, we applied the propensity score matching method to match shrinking cities with comparable non-shrinking counterparts for comparative analysis. We evaluated the effects of policy interventions by combining the Difference-in-Differences (DID) model and the synthetic control method (SCM). The findings showed that the environmental quality of shrinking cities follows a U-shaped trajectory. From 2000–2007, the environmental quality of shrinking cities decreased, followed by a substantial improvement after 2013. Over the past 20 years, the CEI of shrinking cities has increased by 5.70 %, which was slightly lower than the 6.89 % increase observed for non-shrinking cities. Specifically, shrinking cities in northern China exhibited the highest environmental quality and the highest improvement rate (5.99 %), whereas those in the southern, northwestern, and Qinghai‒Tibet regions exhibited modest improvements (increases of 5.34 %, 4.65 %, and 5.32 %, respectively). The decrease in PM2.5 concentration was the main contributing factor to the improvement of environmental quality. Policy analysis showed that environmental policies such as the "Air Pollution Prevention and Control Action Plan" had a significant promoting effect on improving the environmental quality of shrinking cities. To promote sustainable development, it is vital to formulate targeted and regional-specific environmental improvement policies for shrinking cities.
2000-2020年中国收缩城市环境质量改善程度低于非收缩城市——基于倾向得分匹配法的定量比较
随着人类活动干扰的减少和财政支持的缺乏,城市萎缩面临着资源利用不足和环境变化等挑战。在这方面,必须及时有效地分析其环境质量的演变。研究了2000 - 2020年中国收缩城市环境质量的时空变化特征,并比较了收缩城市与非收缩城市的变化特征。我们利用谷歌Earth Engine平台,基于综合环境指数(CEI),分析了过去20年中国萎缩城市环境质量的时空变化。然后,我们采用倾向得分匹配方法,将收缩城市与可比较的非收缩城市进行匹配,进行比较分析。本文采用差分差分(DID)模型和综合控制方法(SCM)相结合的方法对政策干预效果进行了评估。研究结果表明,萎缩城市的环境质量遵循u型轨迹。2000-2007年,萎缩城市的环境质量呈现下降趋势,2013年后有了明显改善。过去20年,萎缩城市的CEI增长了5.70%,略低于未萎缩城市的6.89%。其中,中国北方萎缩城市的环境质量和改善率最高,分别为5.34%、4.65%和5.32%。PM2.5浓度下降是环境质量改善的主要因素。政策分析表明,《大气污染防治行动计划》等环境政策对收缩城市环境质量改善具有显著的促进作用。为促进可持续发展,必须针对萎缩城市制定有针对性、有区域特色的环境改善政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
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;
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信