Theoretical and Applied Economics
No. 1 / 2026 (646), Spring
The influence of renewable energy consumption and trade openness on carbon emissions in South Africa: an augmented autoregressive distributed lag method application
University of Garoua, Cameroon
IBRAHIM
University of Garoua, Cameroon
Apsatou ABBO
University of Garoua, Cameroon
Mohamadou SANI
University of Garoua, Cameroon
Mohammadou NOUROU
University of Garoua, Cameroon
Najwa AKERMI
University of Sfax, Tunisia
Abstract. This study examines the influence of renewable energy consumption and trade openness on CO2 emissions in South Africa. To do this, a recent and robust econometric approach, namely the augmented autoregressive distributed lag (ARDL) approach, is used on the World Bank (WDI, 2025) dataset from the period 2002 to 2021. The results show that in South Africa, an increase in renewable energy consumption significantly reduces CO2 emissions in the short and long term, while an increase in trade openness damages the environment in the short term. Therefore, in order to address the challenges of climate change, energy security and socio-economic development in South Africa, this study suggests increasing the production and use of renewable energy; implementing commercial strategies that guarantee development and improve environmental quality; a significant reduction in the use of fossil fuels.
Contents
From paradox to opportunity: designing a hybrid REIT Model for Romania's emerging capital market
Human development inequality within and between selected SAARC countries using Mean Log Deviation MLD
The influence of renewable energy consumption and trade openness on carbon emissions in South Africa: an augmented autoregressive distributed lag method application
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