Investigating the Impact of Multiple Factors on CO2 Emissions: Insights from Quantile Analysis

Sobirov, Yuldoshboy; Makhmudov, Sardorbek; Saibniyazov, Mukhammadyusuf; Tukhtamurodov, Akobir; Saidmamatov, Olimjon; Marty, Peter

doi:10.3390/su16062243

Open AccessArticle

Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis

by

Yuldoshboy Sobirov

¹

,

Sardorbek Makhmudov

¹

,

Mukhammadyusuf Saibniyazov

¹,

Akobir Tukhtamurodov

¹

,

Olimjon Saidmamatov

^2,*

and

Peter Marty

^3,*

¹

Department of International Trade, College of Commerce, Jeonbuk National University, Jeonju-si 54896, Republic of Korea

²

Faculty of Socio-Economic Sciences, Urgench State University, Urgench 220100, Uzbekistan

³

Institute of Natural Resource Sciences, Zurich University of Applied Sciences (ZHAW), 8820 Wädenswil, Switzerland

^*

Authors to whom correspondence should be addressed.

Sustainability 2024, 16(6), 2243; https://doi.org/10.3390/su16062243

Submission received: 23 January 2024 / Revised: 24 February 2024 / Accepted: 5 March 2024 / Published: 7 March 2024

(This article belongs to the Special Issue Advanced Studies in Economic Growth, Environment and Sustainability)

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Abstract

This study investigates the impacts of alternative energy use, urbanization, GDP, agriculture, ICT development, and FDI on carbon dioxide (CO₂) emissions in the 14 leading CO₂-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 CO₂ 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: CO₂; GDP; urbanization; energy; MMQR; Asia

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MDPI and ACS Style

Sobirov, Y.; Makhmudov, S.; Saibniyazov, M.; Tukhtamurodov, A.; Saidmamatov, O.; Marty, P. Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis. Sustainability 2024, 16, 2243. https://doi.org/10.3390/su16062243

AMA Style

Sobirov Y, Makhmudov S, Saibniyazov M, Tukhtamurodov A, Saidmamatov O, Marty P. Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis. Sustainability. 2024; 16(6):2243. https://doi.org/10.3390/su16062243

Chicago/Turabian Style

Sobirov, Yuldoshboy, Sardorbek Makhmudov, Mukhammadyusuf Saibniyazov, Akobir Tukhtamurodov, Olimjon Saidmamatov, and Peter Marty. 2024. "Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis" Sustainability 16, no. 6: 2243. https://doi.org/10.3390/su16062243

APA Style

Sobirov, Y., Makhmudov, S., Saibniyazov, M., Tukhtamurodov, A., Saidmamatov, O., & Marty, P. (2024). Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis. Sustainability, 16(6), 2243. https://doi.org/10.3390/su16062243

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Investigating the Impact of Multiple Factors on CO₂ Emissions: Insights from Quantile Analysis

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