AI Readiness, Renewable Energy, and Industrial Development: Structural Approach to Sustainable Growth

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

This study examines the determinants of economic growth in the 27 countries with the highest GDP for the period 2008–2020. In the analysis, new generation panel data methods were applied, taking into account cross-sectional dependence that may arise due to common shocks and spillover effects between countries, as well as heterogeneity reflecting countries' institutional and structural differences. In this context, the relationship between growth and artificial intelligence applications and technological competence, renewable energy use, industrialisation level, and unemployment rate was tested. The findings show that increases in technological capacity and artificial intelligence significantly support growth through productivity, innovation, and total factor productivity channels. Furthermore, the shift towards green energy contributes to growth by reducing production costs and encouraging investment in line with energy security and emission reduction. Industrialisation stands out as an important driver of growth through economies of scale and added value growth. In contrast, unemployment, idle labour and weakening domestic demand are holding back growth. Consequently, countries need to strengthen R&D, digital transformation, renewable infrastructure, industrial policies and inclusive employment strategies in a coordinated manner for long-term stability. In this process, education-skills alignment, active labour force programmes and fair transition mechanisms can support growth by reducing the social costs of transformation.

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