A new mapping of technological interdependence
(2025) In Research Policy 54(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... (More)
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.
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- author
- Fronzetti Colladon, Andrea ; Guardabascio, Barbara and Venturini, Francesco LU
- organization
- publishing date
- 2025-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Innovation network structure, Local projections, Long-run estimates, Neighbor innovativeness, Patent text mining, Technological interdependence
- in
- Research Policy
- volume
- 54
- issue
- 1
- article number
- 105126
- publisher
- Elsevier
- external identifiers
-
- scopus:85203810473
- ISSN
- 0048-7333
- DOI
- 10.1016/j.respol.2024.105126
- language
- English
- LU publication?
- yes
- id
- e2686f59-da17-4396-bdff-41382cd82cc8
- date added to LUP
- 2024-11-14 16:28:54
- date last changed
- 2025-04-04 14:48:54
@article{e2686f59-da17-4396-bdff-41382cd82cc8,
abstract = {{<p>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.</p>}},
author = {{Fronzetti Colladon, Andrea and Guardabascio, Barbara and Venturini, Francesco}},
issn = {{0048-7333}},
keywords = {{Innovation network structure; Local projections; Long-run estimates; Neighbor innovativeness; Patent text mining; Technological interdependence}},
language = {{eng}},
number = {{1}},
publisher = {{Elsevier}},
series = {{Research Policy}},
title = {{A new mapping of technological interdependence}},
url = {{http://dx.doi.org/10.1016/j.respol.2024.105126}},
doi = {{10.1016/j.respol.2024.105126}},
volume = {{54}},
year = {{2025}},
}