Industry policies and technological innovation in artificial intelligence clusters: are central positions superior?
Abstract The acceleration of technological innovation is critical to the high-quality development of artificial intelligence clusters, and the formation and persistence of regional innovation cannot be separated from the government. This article adopts location quotient and social network analysis t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer Nature
2025-08-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05453-z |
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| _version_ | 1849766847750078464 |
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| author | Tianchi Wang Ning Yu Wei Zhou Qiuling Chen |
| author_facet | Tianchi Wang Ning Yu Wei Zhou Qiuling Chen |
| author_sort | Tianchi Wang |
| collection | DOAJ |
| description | Abstract The acceleration of technological innovation is critical to the high-quality development of artificial intelligence clusters, and the formation and persistence of regional innovation cannot be separated from the government. This article adopts location quotient and social network analysis to identify artificial intelligence clusters in China. This paper then applies dynamic panel system generalised method of moments model to investigate the relationship between industry policies and technological innovation, and the moderating role of network centrality in this link. The results are as follows: First, twenty-nine artificial intelligence clusters are identified. Interregional cooperation is the main form of collaboration for these clusters. Second, industry policies can effectively promote technological innovation in the artificial intelligence clusters. Third, the high network centrality of clusters diminishes the positive influence of industry policies on technological innovation in the artificial intelligence clusters. This research focuses on the effectiveness of industry policies from a cluster perspective, which provides guidance for fostering innovation in artificial intelligence clusters. |
| format | Article |
| id | doaj-art-baa4b53451fb42eaa58dc46567464982 |
| institution | DOAJ |
| issn | 2662-9992 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj-art-baa4b53451fb42eaa58dc465674649822025-08-20T03:04:26ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-08-0112111310.1057/s41599-025-05453-zIndustry policies and technological innovation in artificial intelligence clusters: are central positions superior?Tianchi Wang0Ning Yu1Wei Zhou2Qiuling Chen3School of Economics, Shanghai UniversitySchool of Economics, Shanghai UniversityDepartment of Development Planning, Shanghai UniversitySchool of Economics, Shanghai UniversityAbstract The acceleration of technological innovation is critical to the high-quality development of artificial intelligence clusters, and the formation and persistence of regional innovation cannot be separated from the government. This article adopts location quotient and social network analysis to identify artificial intelligence clusters in China. This paper then applies dynamic panel system generalised method of moments model to investigate the relationship between industry policies and technological innovation, and the moderating role of network centrality in this link. The results are as follows: First, twenty-nine artificial intelligence clusters are identified. Interregional cooperation is the main form of collaboration for these clusters. Second, industry policies can effectively promote technological innovation in the artificial intelligence clusters. Third, the high network centrality of clusters diminishes the positive influence of industry policies on technological innovation in the artificial intelligence clusters. This research focuses on the effectiveness of industry policies from a cluster perspective, which provides guidance for fostering innovation in artificial intelligence clusters.https://doi.org/10.1057/s41599-025-05453-z |
| spellingShingle | Tianchi Wang Ning Yu Wei Zhou Qiuling Chen Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? Humanities & Social Sciences Communications |
| title | Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? |
| title_full | Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? |
| title_fullStr | Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? |
| title_full_unstemmed | Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? |
| title_short | Industry policies and technological innovation in artificial intelligence clusters: are central positions superior? |
| title_sort | industry policies and technological innovation in artificial intelligence clusters are central positions superior |
| url | https://doi.org/10.1057/s41599-025-05453-z |
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