Artificial intelligence as a driver of innovation and patent activity: An empirical analysis of cross-country data
Zhansaya Temerbulatova et al.
What the paper says
In the context of accelerated digitalization and the development of artificial intelligence technologies, the impact of AI on innovation and patent activity is becoming especially relevant. This study aims to empirically assess the relationship between various aspects of AI development and indicators of countries' innovative development. The Global Innovation Index and the level of patent activity are used as dependent variables, while investments in AI, publications, the number of new AI companies, and the aggregated AI rating serve as explanatory variables, along with control variables. The analysis used data for 36 countries for 2017-2023, and the panel regression method with fixed and random effects. The results show that publication activity and the number of AI companies have a positive and statistically significant impact on the GII index, while institutional factors – Human Development Index and R&D expenditures – contribute to the growth of patent activity. The findings also highlight the complex and context-dependent impact of aggregated AI ratings and investment levels, which appear to be influenced by each country's underlying economic structure and institutional quality. These results are in line with contemporary empirical research and point to the need for adaptive, well-targeted policy strategies that recognize AI’s potential as a driver of innovation and technological transformation, while accounting for national development contexts.
2 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.25 × 0.4 = 0.10 |
| M · momentum | 0.55 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.