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High-quality economic development resides in technological innovation and industrial carbon productivity. Based on the panel data of 288 prefecture-level cities in China from 2011~2021, this paper measured the level of green technology innovation by the number of granted green invention and utility model patents. It then applied an unexpected output super-efficiency SBM model to calculate urban industrial carbon productivity. The system Generalized Method of Moments and the spatial Durbin model were adopted to explore the impact of green technology innovation on urban industrial carbon productivity and spatial spillover effects. Research indicated that: ①There was a significant spatial correlation between the level of green technology innovation and industrial carbon productivity among cities in China, with high to high class cities concentrated and expanding in scope. ② Green technology innovation boosted urban industrial carbon productivity, to a great extent. Such effect was particularly pronounced in western regions, resource-based cities, and lower-income cities. In these cities, green technology innovation helped enhance productivity more effectively. ③ Under different spatial matrices, the direct effects of green technology innovation on urban industrial carbon productivity were significant, which suggested that such innovation clearly improves local urban industrial carbon productivity. What should be noticed is that, the indirect effect of knowledge spillover phenomenon such as green technology innovation dissemination that relies on face-to-face interaction was only significant under the inverse distance square matrix and economic distance nesting matrix. To some extent, these spillovers were weakened by a siphon effect, which inhibited the productivity gains of surrounding cities. Among the factors considered, geographical and economic distance nesting exerted the strongest influence on how green technology innovation affects industrial carbon productivity. Building upon these insights, the country should break away from the governance mode of "self-reliance" in cities, and build an intercity green collaborative governance system. These measures help ensure that R&D investment is channeled to the most efficient locations, breaking through geographical boundaries to form a regional industrial carbon reduction synergy.

, authors=Hui-ling CHEN^{1, 2}, Yuan-hua TANG¹, Xiao-xiu ZHAI¹, Zhen-bo WANG^{2, *}, authorsList=Hui-ling CHEN, Yuan-hua TANG, Xiao-xiu ZHAI, Zhen-bo WANG, authorCompany=null, correspAuthors=Zhen-bo 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=1314918561315914289, articleId=1314918560669991471, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=绿色技术创新对城市工业碳生产率的影响——基于空间溢出效应视角, columnId=1234106419604157142, journalTitle=中国环境科学, columnName=环境影响评价与管理, runingTitle=null, highlight=null, articleAbstract=

基于2011~2021年中国288个地级市的面板数据，以绿色发明专利和绿色实用新型专利授权量衡量绿色技术创新水平，构建非期望产出超效率SBM模型测算城市工业碳生产率，并利用系统广义矩估计方法、空间杜宾模型探讨绿色技术创新对城市工业碳生产率影响及空间溢出效应．研究表明：①我国各城市间绿色技术创新水平与工业碳生产率存在显著的空间相关性，高-高类的城市分布集中且范围不断扩大．②绿色技术创新对城市工业碳生产率具有明显的正向促进作用，这种促进在西部地区、资源型城市和低经济水平城市中表现更为突出，绿色技术创新在这些区域能更有效提升城市工业碳生产率．③在不同空间矩阵下，绿色技术创新对城市工业碳生产率影响的直接效应均显著，说明绿色技术创新能够显著提升本地城市工业碳生产率；绿色技术创新传播这类依赖面对面交流的知识溢出现象，间接效应仅在反距离平方矩阵和经济距离嵌套矩阵下显著，一定程度上通过虹吸效应抑制周边城市工业碳生产率的提升；地理经济距离嵌套是作用于绿色技术创新对城市工业碳生产率影响溢出的最主要因素．据此，应破除城市“各自为政”的治理方式，构建城际绿色协同治理体系，最大程度确保研发投入资金流向最合理的地方，突破地理边界以形成工业碳减排合力．

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陈慧灵（1992-），女，湖南邵阳人，副教授，博士（后），主要研究方向为城市与区域规划．发表论文10余篇．yinuo2020@hutb.edu.cn.

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陈慧灵（1992-），女，湖南邵阳人，副教授，博士（后），主要研究方向为城市与区域规划．发表论文10余篇．yinuo2020@hutb.edu.cn.

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