EU-funded investment in Artificial Intelligence and regional specialization

IF 1.7 Q2 GEOGRAPHY
Anabela Marques Santos , Francesco Molica , Carlos Torrecilla-Salinas
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引用次数: 0

Abstract

The paper assesses the geographical distribution at NUTS2-level of European Union-funded investments related to artificial intelligence (AI) during the programming period 2014–2020. It also examines the relationship between this specialization pattern and regional characteristics using a spatial autoregressive model. The results show that in the period 2014–2020, around EUR 8 billion of EU funds were targeted for AI investments in the European regions. More developed regions have a higher specialization in AI EU-funded investments. This specialization also generates spillover effects that enhance similar specialization patterns in neighboring regions. AI-related investments are more concentrated in regions with a higher concentration of ICT activities and that are more innovative, highlighting the importance of agglomeration effects. Regions that have selected AI as an innovation priority for their Smart Specialization Strategies are also more likely to have a higher funding specialization in AI.
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来源期刊
CiteScore
3.60
自引率
5.90%
发文量
92
期刊介绍: Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.
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