TY - JOUR
T1 - Achieving carbon neutrality in emerging markets
T2 - The dual impact of energy transition investments on economic growth and carbon emissions
AU - Boulanouar, Zakaria
AU - Essid, Lobna
AU - Omri, Anis
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/11
Y1 - 2024/11
N2 - This study investigates the effectiveness of energy transition investments (ETIs) in achieving net-zero emissions. Specifically, it revaluates the environmental Kuznets curve (EKC) by analysing whether ETIs can simultaneously stimulate economic activity and reduce carbon emissions (CE) using the Autoregressive Distributed Lag (ARDL) model. The analysis focuses on a sample of emerging countries. In contrast to previous research, the study expands the EKC model by incorporating the ETIs variable, which encompasses a broader and more comprehensive range of investments that contribute to climate change mitigation, beyond just renewable energy. Additionally, the study employs total factor productivity (TFP) as a measure of economic activity, instead of GDP, considering the efficiency of technology, energy, and other resources. Key findings indicate that the TFP coefficient is higher in the short term compared to the long-term supporting the validity of the EKC hypothesis. This suggest that emerging countries have reached a TFP level of that helps reduce their CE, aiding climate change adaptation and mitigation. The study also reveals a negative effect of ETIs on CE and shows that an increase in TFP significantly enhances ETIs, suggesting that higher TFP levels attract more investment in energy transitions. These findings provide insights for policymakers on the impact of ETIs on CE and aid in formulating effective policies to achieve net-zero emissions.
AB - This study investigates the effectiveness of energy transition investments (ETIs) in achieving net-zero emissions. Specifically, it revaluates the environmental Kuznets curve (EKC) by analysing whether ETIs can simultaneously stimulate economic activity and reduce carbon emissions (CE) using the Autoregressive Distributed Lag (ARDL) model. The analysis focuses on a sample of emerging countries. In contrast to previous research, the study expands the EKC model by incorporating the ETIs variable, which encompasses a broader and more comprehensive range of investments that contribute to climate change mitigation, beyond just renewable energy. Additionally, the study employs total factor productivity (TFP) as a measure of economic activity, instead of GDP, considering the efficiency of technology, energy, and other resources. Key findings indicate that the TFP coefficient is higher in the short term compared to the long-term supporting the validity of the EKC hypothesis. This suggest that emerging countries have reached a TFP level of that helps reduce their CE, aiding climate change adaptation and mitigation. The study also reveals a negative effect of ETIs on CE and shows that an increase in TFP significantly enhances ETIs, suggesting that higher TFP levels attract more investment in energy transitions. These findings provide insights for policymakers on the impact of ETIs on CE and aid in formulating effective policies to achieve net-zero emissions.
KW - Carbon emissions
KW - Climate change mitigation
KW - Emerging markets
KW - Environmental kuznets curve
KW - Green investments
KW - Renewable energy
KW - Sustainable development
KW - Sustainable investments
KW - Total factor productivity
UR - http://www.scopus.com/inward/record.url?scp=85209584246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85209584246&partnerID=8YFLogxK
U2 - 10.1016/j.iref.2024.103709
DO - 10.1016/j.iref.2024.103709
M3 - Article
AN - SCOPUS:85209584246
SN - 1059-0560
VL - 96
JO - International Review of Economics and Finance
JF - International Review of Economics and Finance
M1 - 103709
ER -