{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T15:45:51Z","timestamp":1792856751330,"version":"4.5.0"},"reference-count":63,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Fund of China","doi-asserted-by":"publisher","award":["22BTJ026"],"award-info":[{"award-number":["22BTJ026"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2023J01471"],"award-info":[{"award-number":["2023J01471"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008766","name":"Special Fund for Science and Technology Innovation of Fujian Agriculture and Forestry University","doi-asserted-by":"publisher","award":["KFB23159"],"award-info":[{"award-number":["KFB23159"]}],"id":[{"id":"10.13039\/501100008766","id-type":"DOI","asserted-by":"publisher"}]},{"award":["KFB23159"],"award-info":[{"award-number":["KFB23159"]}],"id":[{"id":"https:\/\/ror.org\/04kx2sy84","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Amid the dual pressures of the global energy transition and green technology upgrading, corporate environmental responsibility increasingly depends on interactions among firms rather than on isolated firm-level resources. From a systems perspective, this study focuses on the inter-firm green innovation linkages within the new energy sector, where knowledge diffusion, technological learning, and governance signals are jointly shaped by network structure. Using quarterly panel data from 52 listed Chinese new energy firms from 2018Q1 to 2023Q2, we employ the Adaptive Elastic Net Generalized Method of Moments approach to reconstruct a green innovation network from the observed dynamics of the panel data, and examine how firms\u2019 positions within the network affect their environmental responsibility. The results show that the network exhibits a clear core\u2013periphery spillover structure. Inter-firm ties are more likely to form when firms are located in the same province and when target firms have higher green patent citation impact and more executives with environmental backgrounds. Higher network centrality is associated with better corporate environmental responsibility, especially among firms facing intense market competition, state-owned firms, and non-key environmental regulatory units. These findings suggest that green innovation networks can alleviate innovation imbalances and strengthen informal inter-firm governance mechanisms in emerging green industries.<\/jats:p>","DOI":"10.3390\/systems14060622","type":"journal-article","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T06:17:31Z","timestamp":1780467451000},"page":"622","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Strategic Position for Green: The Impact of Green Innovation Network Centrality on Corporate Environmental Responsibility"],"prefix":"10.3390","volume":"14","author":[{"given":"Shaoxiong","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunming","family":"Li","sequence":"additional","affiliation":[{"name":"College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingxin","family":"Bao","sequence":"additional","affiliation":[{"name":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaijian","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongming","family":"Teng","sequence":"additional","affiliation":[{"name":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"119253","DOI":"10.1016\/j.enconman.2024.119253","article-title":"Improving sustainable development performance of new energy industry through green innovation network evolution empowered by digitalization: Based on temporal exponential random graph model","volume":"324","author":"Liu","year":"2025","journal-title":"Energy Convers. 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