Investigating the Impact of Multiple Factors on CO 2 Emissions: Insights from Quantile Analysis

Yuldoshboy Sobirov, Sardorbek Makhmudov, Mukhammadyusuf Saibniyazov, Akobir Tukhtamurodov, Olimjon Saidmamatov () and Peter Marty ()
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Yuldoshboy Sobirov: Department of International Trade, College of Commerce, Jeonbuk National University, Jeonju-si 54896, Republic of Korea
Sardorbek Makhmudov: Department of International Trade, College of Commerce, Jeonbuk National University, Jeonju-si 54896, Republic of Korea
Mukhammadyusuf Saibniyazov: Department of International Trade, College of Commerce, Jeonbuk National University, Jeonju-si 54896, Republic of Korea
Akobir Tukhtamurodov: Department of International Trade, College of Commerce, Jeonbuk National University, Jeonju-si 54896, Republic of Korea
Olimjon Saidmamatov: Faculty of Socio-Economic Sciences, Urgench State University, Urgench 220100, Uzbekistan
Peter Marty: Institute of Natural Resource Sciences, Zurich University of Applied Sciences (ZHAW), 8820 Wädenswil, Switzerland

Sustainability, 2024, vol. 16, issue 6, 1-25

Abstract: This study investigates the impacts of alternative energy use, urbanization, GDP, agriculture, ICT development, and FDI on carbon dioxide (CO 2 ) emissions in the 14 leading CO 2 -emitting countries in Asia. This research comprises various econometric techniques, including MMQR, FMOLS, DOLS, and Driscoll–Kraay, to extend the data analysis from 1996 to 2020. The findings provide significant support for an inverted U-shaped link between economic expansion and environmental deterioration, known as the environmental Kuznets curve. Moreover, this paper verifies that the GDP square, renewable energy use, and agriculture are shown to help to decrease pollution, as indicated by the research findings. On the contrary, urbanization and the GDP are demonstrated to be variables that contribute to carbon emissions. Furthermore, the panel quantile regression models validate that the impacts of each explanatory variable on CO 2 emissions vary across various quantiles. Finally, this analysis provides valuable suggestions to scholars, environmentalists, politicians, and authorities for identifying and mitigating the main cause of emissions.

Keywords: CO 2; GDP; urbanization; energy; MMQR; Asia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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