YAPAY ZEKÂ, YÜKSEK TEKNOLOJİ İHRACATI VE GELİR EŞİTSİZLİĞİ: E7 ÜLKELERİNDE PANEL VERİ ANALİZİ
Alaattin Etiz, Fırat ARSLAN · Euroasia Journal of Social Sciences and Humanities · 30 Oct 2026
Read original sourceOpen access
Where this sits in the debate
- Will AI widen inequality? · its finding supports the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Abstract
While artificial intelligence and automation technologies raise productivity, their effects on income distribution remain contested. This study examines the impact of technological capacity (artificial intelligence readiness) on income inequality in the E7 countries, namely Brazil, China, India, Indonesia, Mexico, Russia and Türkiye, over the period 2000-2022. Using high-technology exports as a proxy for artificial intelligence capacity, the study employs a two-way fixed effects model estimated with Driscoll-Kraay robust standard errors, together with country-specific Granger causality tests. With per capita income included as a control variable, a robustness check that adds trade openness confirms that the interaction term between technology and education retains its negative sign and statistical significance. The findings show that technological progress on its own increases the Gini coefficient, but that this effect interacts strongly with human capital. Once the tertiary school enrolment rate exceeds a threshold of 41.21%, the inequality-increasing effect of technology disappears. Granger tests reveal Granger causality running from technology to income inequality in Türkiye and the Russian Federation. The results suggest that E7 countries should treat education policy not as a priority but as a necessity in the age of artificial intelligence.
About this publication
Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.
- Published
- 2026 (recently)
- Citations
- 0 (OpenAlex)
0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.
Related by theme, not necessarily by method or conclusion.
- ARTIFICIAL INTELLIGENCE AND INEQUALITY IN THE STARTUP ECONOMY: A CONCEPTUAL FRAMEWORK FOR DIGITAL STRATIFICATION
Baltic Journal of Economic Studies · 2026 - The discrimination loop: The concerns of literary creatives around the socio-economic implications of GenAI on novelists and readers
Apollo · 2026
Overview assembled automatically from collected metadata. How this site is built.