 A new mapping of technological interdependenceAndrea Fronzetti Colladon, Barbara Guardabascio and Francesco Venturini () Research Policy, 2025, vol. 54, issue 1 Abstract: How does technological interdependence affect innovation? We address this question by examining the influence of neighbors’ innovativeness and the structure of the innovators’ network on a sector’s capacity to develop new technologies. We study these two dimensions of technological interdependence by applying novel methods of text mining and network analysis to the documents of 6.5 million patents granted by the United States Patent and Trademark Office (USPTO) between 1976 and 2021. We find that, in the long run, the influence of network linkages is as important as that of neighbor innovativeness. In the short run, however, positive shocks to neighbor innovativeness yield relatively rapid effects, while the impact of shocks strengthening network linkages manifests with delay, even though lasts longer. Our analysis also highlights that patent text contains a wealth of information often not captured by traditional innovation metrics, such as patent citations. Keywords: Technological interdependence; Neighbor innovativeness; Innovation network structure; Patent text mining; Long-run estimates; Local projections (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:54:y:2025:i:1:s0048733324001756 DOI: 10.1016/j.respol.2024.105126 Access Statistics for this article Research Policy is currently edited by M. Bell, B. Martin, W.E. Steinmueller, A. Arora, M. Callon, M. Kenney, S. Kuhlmann, Keun Lee and F. Murray More articles in Research Policy from Elsevier |
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