The exploration of sustainability in the context of the dynamic linkage between macroeconomic conditions and carbon emissions (CO
2
e) across SAARC nations reveals critical insights into how economic activities influence environmental outcomes. This study utilizes real gross domestic product (RGDP), foreign direct investment (FDI), trade openness (TO) and renewable energy consumption (REC) as predictors of carbon emissions, considering CO
2
e as the dependent variable from 1991 to 2023. To examine the long-run dynamics, the current study used panel cointegration, dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS), and for the short-run nexus, panel vector error correction model and panel Granger causality were used. Employing panel cointegration reveals a cointegrating relationship among the variables. Over time, RGDP, FDI and TO significantly reduce CO
2
emissions, whereas REC significantly reduces emissions by approximately 0.19% under FMOLS and 0.32% under DOLS for every 1% rise in renewable energy use, confirming renewable energy expansion as the region’s most reliable lever for emission reduction. Causality tests show that FDI and TO Granger-cause CO
2
e emissions unidirectionally, while GDP and REC each share bidirectional causality with CO
2
e emissions. GDP and REC also unidirectionally Granger-cause TO and GDP unidirectionally Granger-causes FDI. These results carry a clear policy message for SAARC governments: curbing carbon-intensive FDI and trade through stronger environmental screening, while simultaneously accelerating renewable energy investment and adopting binding renewable energy targets, offers the most direct path to dissociate economic expansion from carbon emissions.
This study examines the socioeconomic, institutional, technological, and behavioral determinants of carbon dioxide (CO
2
) emissions across the G7 countries over the period 2011–2024. Specifically, it investigates how self‐reported life satisfaction (SRLS), human development (HDI), total factor productivity (TFP)...
Muhammad Khizar Saeed, Abdulateif A. Almulhim, Abdullah A. Aljughaiman· Sustainable Development· 0 citations
Understanding the underlying drivers of carbon emissions is critical for designing effective climate mitigation policies in highly vulnerable emerging economies. This study investigates the long-run and dynamic impacts of economic growth, fossil fuel energy consumption, population dynamics, and forest area on carbon...
Arifur Rahman, Asadujjaman Razu, Mahbubar Rahman· American Journal of Environ...· 0 citations
This paper investigates the relationship between non-renewable energy consumption, globalization and carbon emissions under the Environmental Kuznets Curve (EKC) hypothesis, based on the observations of ASEAN economies between 1990 and 2023, which are unbalanced panel data. A panel cointegration analysis is used to exp...
Anum Gul Faraz, S. Shaheen, Bushra Jamil· The social science· 0 citations
From the perspective of global environmental stability, the BRICS’ position as the world's leading carbon emitter poses a serious threat. Therefore, it is essential to develop a distinct model that enables policymakers to formulate robust mitigation strategies and support emission sustainability and the achievement...
Azka Amin, Nora Yusma Bte Mohamed Yusoff, Cem Işık et al.· Kybernetes· 0 citations
This study examines the relationship between economic growth, energy consumption,
renewable energy use, and carbon dioxide (CO₂) emissions in 12 Eurasian countries over the period
2000–2024. The study employs the Environmental Kuznets Curve (EKC) framework to evaluate the
relationship between economic growth and enviro...
A. Ibrahimov, Ismail Mazgit· Science Bulletin· 0 citations
This study examines how Green Innovation (GI) affects the decoupling of economic growth from CO2 emissions using a multi-country panel dataset for 2012-2023. The analysis extends the Environmental Kuznets Curve (EKC) framework by including GI as both a direct explanatory variable and a moderator in the growth-emissions...
Thị Trần· Engineering, Technology &...· 0 citations
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