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This study constructs an indicator system for China's "zero-waste cities" construction. It uses the entropy weight method to measure the system's level across 30 provinces (autonomous regions and municipalities) from 2011 to 2022. The coupling coordination model is employed to analyze the development coordination between subsystems, while the gravity model and social network analysis explore the spatial network characteristics of the system. Lastly, the quadratic assignment procedure (QAP) is used to identify the driving factors behind the system. The results show that: the coupling correlation and coordination between subsystems have improved over time, with regional coordination levels in the order of: Class Ⅰ > Class Ⅱ > Class Ⅲ > Class Ⅳ > Class Ⅴ. The spatial network connectivity of each region in China's "zero waste city" construction system shows an upward trend, with increasing network density and more strong connection networks. However, the overall network remains at a low level and is unevenly developed. The network connection level of Class Ⅰ regions is higher than others, with network efficiency tending towards stability. Economic development, urbanization, innovation capacity, and industrial structure coordination significantly influence the spatial network. Economic development has a greater impact on Class Ⅰ and Class Ⅴ regions, whereas urbanization affects Class Ⅱ and Class Ⅲ regions more significantly.

, authors=Ming GAO^{1, *}, Qi-yue HUANG², authorsList=Ming GAO, Qi-yue HUANG, authorCompany=null, correspAuthors=Ming GAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918516826931354, articleId=1314918514218074264, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=中国“无废城市”建设系统耦合的分区时空比较与演变特征研究, columnId=1234106419604157142, journalTitle=中国环境科学, columnName=环境影响评价与管理, runingTitle=null, highlight=null, articleAbstract=

在构建中国“无废城市”建设系统水平指标体系的基础上,采用熵权法测算中国30个省（区、市）2011~2022年“无废城市”建设系统水平,利用耦合协调度模型研究各子系统协调情况,借助引力模型与社会网络分析探究中国“无废城市”建设系统空间网络特征,最后采用二次指派程序（QAP）考察中国“无废城市”建设系统驱动因素.研究发现:中国“无废城市”建设系统各子系统间耦合协调度不断提高,区域协调度等级为:Ⅰ类> Ⅱ类> Ⅲ类> Ⅳ类>Ⅴ类;中国“无废城市”建设系统各区域空间网络关联水平呈上升趋势,网络关联密度增加,强关联网络数量上升,但处于较低水平且发展不均衡,Ⅰ类区域网络关联等级高于其他地区,网络关联度始终不变,网络效率将趋于稳定;经济发展水平、城镇化水平、创新能力水平、产业结构协调水平对中国“无废城市”建设系统空间网络产生显著影响;经济发展对Ⅰ、Ⅴ类区域驱动更显著,城镇化对Ⅱ、Ⅲ类区域驱动更显著.

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高明（1965-），男，吉林农安人，教授，博士，研究方向为生态环境管理.发表论文139篇．gaoming65@163.com.

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高明（1965-），男，吉林农安人，教授，博士，研究方向为生态环境管理.发表论文139篇．gaoming65@163.com.

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