<p>The purpose of this research is to identify the key factors for economic growth and to use the results to indicate effective industries for growth. The methodology consists of a quantitative analysis to compute the importance of machine learning as a score to be linked to gross domestic product (GDP) and a qualitative investigation of the effects of factors. From the results, we selected six European countries to explore further. The findings indicate that the lifting of tariff reduction and declines in information and communication technology (ICT) goods imports and exports appear to be influencing economic growth. Additionally, education is positively associated with economic growth in a group that includes Finland, Iceland, and the Netherlands. In contrast, health expenditure contributes to economic growth in countries such as Denmark, Norway, and Germany. These results provide insights for modeling future economic scenarios and guiding policy decisions.</p>

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Machine Learning Uncovers Two Economic Growth Paths: Education and Healthcare in European Countries

  • Shino Iwami,
  • Arto Ojala

摘要

The purpose of this research is to identify the key factors for economic growth and to use the results to indicate effective industries for growth. The methodology consists of a quantitative analysis to compute the importance of machine learning as a score to be linked to gross domestic product (GDP) and a qualitative investigation of the effects of factors. From the results, we selected six European countries to explore further. The findings indicate that the lifting of tariff reduction and declines in information and communication technology (ICT) goods imports and exports appear to be influencing economic growth. Additionally, education is positively associated with economic growth in a group that includes Finland, Iceland, and the Netherlands. In contrast, health expenditure contributes to economic growth in countries such as Denmark, Norway, and Germany. These results provide insights for modeling future economic scenarios and guiding policy decisions.