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Re-Estimating the Impact of Natural Gas on Global Carbon Emissions: The Role of Technological Innovation

To investigate the nexus between natural gas consumption, global carbon dioxide (CO2) emissions, and technological innovation, this study employs a balanced panel dataset of 73 countries for the period 1990–2019 based on the fixed effect and random effect estimation methods. Considering potential heterogeneity in the natural gas-CO2nexus, this study divides the 73 countries into regional comprehensive economic partnership (RCEP) countries and non-RCEP countries for comparative analysis. The main findings indicate that natural gas consumption can significantly promote CO2emissions for the full sample and non-RCEP countries, and improved technological innovation can help alleviate CO2emissions from natural gas consumption. In the RCEP countries, technological innovation can improve the carbon emission reduction effect of natural gas. Furthermore, economic growth and global CO2emissions show an inverted U-shaped relationship, which confirms the environmental Kuznets curve hypothesis. Finally, several policy implications are provided to reduce global CO2emissions and promote green recovery in the post-epidemic era.
- University of Lisbon Portugal
- Luoyang Normal University China (People's Republic of)
- Anyang Normal University China (People's Republic of)
- Fuyang Normal University China (People's Republic of)
- University of International Business and Economics China (People's Republic of)
global analysis, General Works, natural gas consumption, technological innovation, A, carbon emissions, RCEP and non-RCEP countries
global analysis, General Works, natural gas consumption, technological innovation, A, carbon emissions, RCEP and non-RCEP countries
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).12 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).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
