The study aims to examine environmental challenges, focusing on reducing fossil fuel dependence and greenhouse gas emissions, in line with Conference of Parties-30 goals. It explores the dynamic impacts of environment-related technology, political globalization, energy poverty and natural resources on the energy transition.
The cross-sectional autoregressive distributed lag (CS-ARDL) model addresses cross-sectional dependence, varying slopes and non-stationarity tests are applied to analyze factors influencing the energy transition in 11 Black Sea Economic Cooperation economies from 1990 to 2022.
The study’s empirical findings reveal that environment-related technologies and political globalization are key in advancing the green energy transition. On the other hand, energy poverty and the consumed natural resources are obstacles to this transition.
The green energy market is a key driver, guided by a framework for the production, distribution and consumption of sustainable energy. This study, using the CS-ARDL model, analyzes how globalization, energy poverty and environment-related technologies affect the energy transition. The results are validated through innovative accounting methods.
