Zhang, G. (2022) Collaborative Invention and Knowledge Diffusion: Evidence from Co-patents of Artificial Intelligence in Europe. Master thesis.
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Abstract
Scholars consider artificial intelligence (AI) a general purpose technology that enables regions to diversify into new economic activities and facilitates green transition. Limited literature investigates how AI knowledge diffuses spatially. Investigating collaborative inventions of AI in European regions, this research examines how collaborative knowledge regarding AI technology development and technology application diffuses between and within regions during 2011-2020. Researchers adopt a logit regression method to estimate effects on collaboration formation of AI development. Results indicate that interregional collaborations of co-inventors between NUTS 2 regions are positively related to the establishment of collaborative ties for AI development. As for AI application, researchers adopt a Zero-inflated Negative Binomial regression method, and results suggest that not only intra-regional but also interregional collaborations across neighbouring regions increase the intensity of co-innovations of AI application. Our results contribute to diffusion theories suggested by Rogers and Hägerstrand by taking into consideration the nature of exchanged knowledge (i.e. AI development and AI application) in the diffusion process. Thus, innovation policies may consider the spatial dimension of policy schemes that target the development and application of AI technologies.
| Item Type: | Thesis (Master) |
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| Supervisor: | Abbasiharofteh, Milad |
| Date Deposited: | 10 May 2023 09:44 |
| Last Modified: | 10 May 2023 09:44 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4176 |
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