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The Impact Of Artificial Intelligence On Economic Productivity: An Empirical Analysis Using Panel Data From Eu Countries

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  • SFINTES COSTINA

    (CONSTANTIN BRANCUSI UNIVERSITY OF TARGU-JIU, ROMANIA)

Abstract

This study examines the influence of artificial intelligence (AI) adoption on economic productivity across 27 European Union countries over the period 2015–2023. Using a fixed-effects panel regression model, the analysis incorporates AI investment indices, patent filings, and digital infrastructure metrics as key explanatory variables, while controlling for human capital, R&D expenditure, and institutional quality. The dataset includes 243 observations sourced from Eurostat, OECD, and the European Patent Office. Results indicated a statistically significant positive effect of AI adoption on total factor productivity (TFP), with a 1% increase in AI investment associated with a 0.32% rise in TFP (p

Suggested Citation

  • Sfintes Costina, 2025. "The Impact Of Artificial Intelligence On Economic Productivity: An Empirical Analysis Using Panel Data From Eu Countries," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 272-276, December.
    • Handle: RePEc:cbu:jrnlec:y:2025:v:6:p:272-276
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    References listed on IDEAS

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    4. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2016. "The Best versus the Rest: The Global Productivity Slowdown, Divergence across Firms and the Role of Public Policy," OECD Productivity Working Papers 5, OECD Publishing.
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