Does Population Aging Shape Economic Growth? Evidence from Panel Data

Sümerli Sarıgül S., Çetin M., Altay Topcu B.

7th International Conference on Frontiers in Academic Research ICFAR 2026, Konya, Türkiye, 15 - 16 Mart 2026, ss.243-250, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Konya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.243-250
  • Kayseri Üniversitesi Adresli: Evet

Özet

The primary aim of this study is to focus on the relationship between aging and economic growth

in developing economies. By employing panel data techniques, the study also investigates how green

innovation and ICT affect economic growth. The existence of cointegration is estimated using the Pedroni

and Westerlund approaches, coefficient estimates are obtained via the AMG estimator, and causality is

analyzed using the Dumitrescu-Hurlin technique. The coefficient estimates indicate that aging, green

innovation, and ICT positively contribute to economic growth. Causality results further reveal a

bidirectional relationship between aging and economic growth, as well as between ICT and economic

growth, alongside a unidirectional causality running from green innovation to economic growth.


Policymakers should therefore emphasize measures related to these three variables when designing growth-

oriented policies in the examined economies.


Keywords: Aging, Green Innovation, ICT, Growth, Panel Data