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Exploring the links between fossil fuel energy consumption, industrial value-added, and carbon emissions in G20 countries

pmid: 36087174
The primary objective of this study is to explore the links between fossil fuel energy consumption, industrial value-added, and carbon emissions in G20 countries over the period 1990-2020. Panel unit root test, co-integration test, and CS-ARDL estimator were used to determine the relationship among variables. The empirical results suggest that the driving force of carbon emissions in G20 countries varies significantly in advanced versus emerging economies. Evidence in a whole sample of G20 countries and advanced economies supports environmental Kuznets curve (EKC) hypothesis, while no evidence emerging economies supports EKC hypothesis. Apart from this, the empirical results show trade opens, FDI, government expenditures on health and education, research and development, and information and communication technology are other determinators of carbon emissions in G20 countries. Our results suggest that countries upgrade industrial structures by shifting their energy structures away from fossil fuels toward renewable energy sources in order to achieve sustainable environmental goals.
- Wuhan University China (People's Republic of)
- Tashkent State University of Economics Uzbekistan
- Central Asian University Uzbekistan
- Wuhan University China (People's Republic of)
- Westminster International University in Tashkent Uzbekistan
Fossil Fuels, Carbon Dioxide, Carbon, Renewable Energy, Economic Development
Fossil Fuels, Carbon Dioxide, Carbon, Renewable Energy, Economic Development
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).47 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
