{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:07:42Z","timestamp":1760148462768,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Project of the National Social Science Foundation of China","award":["19AGL007","18GLD291"],"award-info":[{"award-number":["19AGL007","18GLD291"]}]},{"name":"Philosophy and Social Science Research Planning Project of Heilongjiang Province, China","award":["19AGL007","18GLD291"],"award-info":[{"award-number":["19AGL007","18GLD291"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Exploring the spatial correlation network and its structural characteristics of China\u2019s industrial green technology innovation efficiency is significant for promoting the coordinated development of inter-regional industrial green transformation. Based on the innovation value chain, this paper divides China\u2019s industrial green technology innovation system into three interrelated sub-stages: technology research and development, achievement transformation, and commercialization. The NSBM model is used to measure the efficiency of industrial green technology innovation in 30 provinces and cities in mainland China from 2011 to 2020. The modified gravity model and social network analysis method are introduced to explore its spatial correlation network\u2019s structural characteristics and evolution rules. The results show that the spatial network correlation intensity of the three stages of green technology innovation efficiency in regional industry has gradually strengthened. There is no strict hierarchical structure, and the spatial network tends to be stable. The network shows an apparent \u201ccore\u2013edge\u201d distribution in all three stages, with the eastern coastal and central more developed regions at the network\u2019s core. Meanwhile, the northeastern and western remote areas are at the network\u2019s edge and less connected with other regions\u2019 provinces and cities. The distribution of network blocks in the three stages of green technology innovation efficiency is similar. The net benefit block mainly includes the eastern coastal and surrounding developed areas. The net spillover block mainly consists of the economically backward northwest region. The broker block is primarily distributed in the surrounding provinces and cities of the Bohai Rim. The bidirectional spillover block is mainly located in the southwest region. Finally, some suggestions are put forward to promote the coordinated improvement of regional industrial green technology innovation efficiency from the perspective of integrity, individuality, and agglomeration.<\/jats:p>","DOI":"10.3390\/systems11050240","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T01:05:10Z","timestamp":1683853510000},"page":"240","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Spatial Correlation Network Analysis of Industrial Green Technology Innovation Efficiency in China"],"prefix":"10.3390","volume":"11","author":[{"given":"Decheng","family":"Fan","sequence":"first","affiliation":[{"name":"School of Economics and Management, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6887-4140","authenticated-orcid":false,"given":"Xiaolin","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"ref_1","first-page":"123326","article-title":"Does air pollution hinder technological innovation in China?","volume":"278","author":"Lin","year":"2021","journal-title":"A perspective of innovation value chain. 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