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The research explored the evolution trend, spatial correlation network characteristics and driving mechanism of the synergistic effects on carbon reduction, construction waste control, green expansion, and economic growth among different provinces in construction industry from 2010 to 2020 by entropy method, coupling coordination degree model, social network analysis method, and exponential random graph model. The results showed that: The synergistic effect of carbon reduction, construction waste control, green expansion, and economic growth in the construction industry increased from 0.51 to 0.60, gradually transitioning from a barely imbalanced state to a primary coordinated state, with significant spatial heterogeneity. The synergistic effect spatial correlation network presented a "Core-edge" distribution characteristic, and the network density showed an increasing trend, reaching 0.2287 in 2020. The network's dependence on the core region was weak, but the network state had not yet reached optimal state, and there was still significant for improvement, such as Henan, Hunan, Shaanxi, and Xinjiang were in a dominant position in the internet and had apparent "Matthew effect". Hebei, Anhui, Jiangxi, and Henan provinces had shown significant "Siphon effect". Heilongjiang, Jilin, Liaoning and other provinces played the role of peripheral actors in the network. Most of the spatial correlations of the synergistic effects of carbon reduction, construction waste control, green expansion, and economic growth in the construction industry were concentrated within blocks rather than between blocks. The developed eastern region was mainly the "Net profit" block, while the central and western regions were the "Two-way spillover" blocks. Hunan, Shaanxi, Hubei and other provinces occupied the network structure holes position and had obvious advantages in the construction of synergistic effects. The significant driving force of endogenous network structure was the formation process of the synergistic effect network. The factor of the proportion of construction industry output value/GDP strengthened the spatial correlation between the synergistic effects. The proximity of geographical locations helped to promote the formation of a basin collaborative governance network. Thus, targeted policies for carbon reduction, construction waste control, green expansion, and economic growth in the construction industry should be formulated based on the characteristics of different regions to promote high-quality development of the regional construction industry.

, authors=Zhen-shuang WANG¹, Yu-fei WANG¹, Tao WANG^{2, *}, Ning ZHAO³, authorsList=Zhen-shuang WANG, Yu-fei WANG, Tao WANG, Ning ZHAO, authorCompany=null, correspAuthors=Tao WANG, 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=1314917555429532211, articleId=1314917554380956209, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=建筑业降碳-减污-扩绿-增长协同效应空间关联网络特征及驱动机制, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

本文利用熵值法、耦合协调度模型、社会网络分析和指数随机图模型方法，对2010~2020年中国省域建筑业降碳-减污-扩绿-增长协同效应演变趋势、空间关联网络特征和驱动机制进行研究．结果表明，建筑业降碳-减污-扩绿-增长协同效应从0.51上升至0.60，从勉强失调逐步过渡到初级协调状态，具有显著的空间异质性；协同效应空间关联网络呈现“核心-边缘“分布特征，网络密度呈上升趋势，2020年达到0.2287．网络对核心区域的依赖性较弱，但网络状态尚未达到最佳，仍然存在较大的提升空间；河南、湖南、陕西和新疆等省份具有明显的“马太效应“，而河北、安徽、江西和河南等省份表现出显著的“虹吸效应”，黑龙江、吉林和辽宁等省在网络中担任边缘行动者的角色；大部分网络关联关系都集中在板块内部，东部发达区域主要为“净收益”板块，中西部区域为“双向溢出”板块．湖南、陕西和湖北等省占据网络结构洞位置，在建筑业降碳-减污-扩绿-增长协同效应建设中具有明显优势；建筑业产值占GDP比重因素强化建筑业降碳-减污-扩绿-增长协同效应空间关联关系，地理位置邻近性有助于促进协同效应网络的形成．因此，应结合区域的特点，制定针对性的建筑业降碳-减污-扩绿-增长政策，推动区域建筑业高质量可持续发展．

, authors=汪振双¹, 王宇飞¹, 汪涛^{2, *}, 赵宁³, authorsList=汪振双, 王宇飞, 汪涛, 赵宁, authorCompany=null, correspAuthors=汪涛, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=AyiSVOr88Bc7eI5LA3xzYg==, magXml=M/u+Bcu0QBU1OCaWpT5tJQ==, pdfUrl=null, pdf=GdC+GWiCh/E+051YSuvlsg==, pdfFileSize=1639425, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gXsmTxbnrUJDEk4E6W0RUw==, mapNumber=null, fund=null)}, authors=[Author(id=1314917558269076031, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917554380956209, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zswang@dufe.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917558629786178, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917554380956209, authorId=1314917558269076031, language=EN, stringName=Zhen-shuang WANG, firstName=Zhen-shuang, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian 116025, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917558722060868, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917554380956209, authorId=1314917558269076031, language=CN, stringName=汪振双, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.东北财经大学投资工程管理学院，辽宁 大连 116025, bio={"content":"

汪振双（1982-），男，辽宁鞍山人，副教授，博士，主要研究方向为可持续发展．发表论文100余篇．zswang@dufe.edu.cn.

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汪振双（1982-），男，辽宁鞍山人，副教授，博士，主要研究方向为可持续发展．发表论文100余篇．zswang@dufe.edu.cn.

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