The impact of digital and socio-economic factors on the GDP per capita of European countries
DOI:
https://doi.org/10.24136/cxy.2026.002Keywords:
GDP per capita, digital economy, linear regressionAbstract
Motivation: The ongoing digitalisation and development of artificial intelligence have a significant impact on European economies. Understanding how AI and other digital and social variables influence GDP per capita is crucial for designing effective development policies.
Aim: The aim of the article is to identify the impact of digital and socio-economic parameters on the GDP per capita of European countries.
Materials and methods: Quantitative analysis was employed in the study, utilising both univariate and multivariate linear regression models. Based on Eurostat data for 2023, the situation was assessed in 28 European countries.
Results: The analysis showed statistically significant relationships between most of the evaluated parameters and the level of GDP per capita, particularly strong in univariate models. The strongest effects were observed for the level of AI acceptance and employment in the science and technology sector. In multivariate models, some parameters lost their statistical significance, which may be due to a reduced number of observations and complex relationships between predictors. The results highlight the importance of human resources and digitalisation in shaping the level of economic development.
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