relation: https://frw.studenttheses.ub.rug.nl/4176/
title: Collaborative Invention and Knowledge Diffusion: Evidence from  Co-patents of Artificial Intelligence in Europe
creator: Zhang, G.
description: 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.
date: 2022
type: Thesis
type: NonPeerReviewed
format: text
language: en
identifier: https://frw.studenttheses.ub.rug.nl/4176/1/MT.pdf
identifier:   Zhang, G.  (2022) Collaborative Invention and Knowledge Diffusion: Evidence from Co-patents of Artificial Intelligence in Europe.  Master thesis.