AI Readiness, Renewable Energy, and Industrial Development: Structural Approach to Sustainable Growth
Öz
This study examines the determinants of economic growth in the 27 countries with the highest GDP during the period 2008–2020. The analysis employs new-generation panel data methods that account for cross-country common shocks, spillover effects, and structural differences. In this context, the relationship between economic growth and artificial intelligence readiness, renewable energy use, the level of industrialisation, and the unemployment rate has been tested. The findings indicate that technological capacity and advancements in artificial intelligence support growth through the channels of productivity, innovation, and total factor productivity. The use of renewable energy, meanwhile, contributes to growth by reducing production costs, strengthening energy security and encouraging environmentally sustainable investments. Whilst industrialisation emerges as one of the key drivers of growth through economies of scale and increased value added, unemployment constrains growth due to idle labour and weak domestic demand. The results indicate that R&D, digital transformation, renewable energy infrastructure, industrial policies and inclusive employment strategies must be strengthened in tandem to ensure long-term stability.
Anahtar Kelimeler
Kaynakça
- Aghion, P. and Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60(2), 323–351. https://doi.org/10.3386/w3223
- Ahmed, M.M. and Shimada, K. (2019). The effect of renewable energy consumption on sustainable economic development: Evidence from emerging and developing economies. Energies, 12(15), 2954. https://doi.org/10.3390/en12152954
- Apergis, N. and Payne, J. E. (2010). Renewable energy consumption and economic growth: Evidence from a panel of OECD countries. Energy Policy, 38(1), 656-660. https://doi.org/10.1016/j.enpol.2009.09.002
- Armeanu, D.Ş., Vintilă, G. and Gherghina, Ş.C. (2017). Does renewable energy drive sustainable economic growth? Multivariate panel data evidence for EU-28 countries. Energies, 10(3), 381. https://doi.org/10.3390/en10030381
- Aydin, M., Sogut, Y. and Erdem, A. (2024). The role of environmental technologies, institutional quality, and globalization on environmental sustainability in European Union countries: New evidence from advanced panel data estimations. Environmental Science and Pollution Research, 31(7), 10460-10472. https://doi.org/10.1007/s11356-024-31860-x
- Babina, T., Fedyk, A., He, A. and Hodson, J. (2024). Artificial intelligence, firm growth, and product innovation. Journal of Financial Economics, 151, 103745. https://doi.org/10.1016/j.jfineco.2023.103745
- Batabyal, A.A., Kourtit, K. and Nijkamp, P. (2025). Artificial intelligence based technologies and economic growth in a creative region. Economics of Innovation and New Technology, 34(5), 782-796. https://doi.org/10.1080/10438599.2024.2374273
- Behera, R.K., Bala, P.K. and Rana, N.P. (2023). Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers. Journal of Cleaner Production, 399, 136605. https://doi.org/10.1016/j.jclepro.2023.136605
Ayrıntılar
Birincil Dil
İngilizce
Konular
Büyüme
Bölüm
Araştırma Makalesi
Yazarlar
Sefa Özbek
0000-0002-1043-2056
Türkiye
Mustafa Naimoğlu
0000-0001-9684-159X
Türkiye
Serkan Şahin
0000-0002-1927-1092
Türkiye
Serhat Çamkaya
*
0000-0003-4373-1922
Türkiye
Yayımlanma Tarihi
30 Haziran 2026
Gönderilme Tarihi
27 Ocak 2026
Kabul Tarihi
23 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 11 Sayı: 2