Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Ahmed Samour; Tomiwa Sunday Adebayo; Ephraim Bonah Agyekum; Baseem Khan; Salah Kamel

doi:10.1038/s41598-023-32134-1

Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality

Sci Rep. 2023 Mar 31;13(1):5245. doi: 10.1038/s41598-023-32134-1.

Authors

Ahmed Samour¹, Tomiwa Sunday Adebayo², Ephraim Bonah Agyekum³, Baseem Khan⁴, Salah Kamel⁵

Affiliations

¹ Accounting Department, Dhofar University, Salalah, Sultanate of Oman.
² Department of Economics, Faculty of Economics and Administrative Sciences, Cyprus International University, Mersin 10, 99040, Haspolat, Turkey.
³ Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg, Russia, 620002.
⁴ Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia. baseem.khan04@gmail.com.
⁵ Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.

Abstract

This paper evaluates the impact of electricity consumption from renewable and nonrenewable sources on the load capacity factor for BRICS-T nations using data from 1990 to 2018. The paper used linear and nonlinear autoregressive distributed lag (ARDL) approaches to explore these associations. The results of the Westerlund co-integration show long-run co-integration between load capacity factor and the independent variables. The results show that renewable electricity energy and human capital contribute to the sustainability of the environment, while electricity consumption, economic growth, and industrialization impede environmental sustainability. Similarly, the nonlinear effect of renewable electricity energy on LCF shows interesting findings. The positive (negative) shift in renewable electricity energy increases ecological sustainability in the BRICS-T nations. Furthermore, the Dumitrescu Hurlin panel causality gives credence to both linear and nonlinear ARDL results. The study suggests policy recommendations based on these results.