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

Author:

Sobirov Yuldoshboy1ORCID,Makhmudov Sardorbek1,Saibniyazov Mukhammadyusuf1,Tukhtamurodov Akobir1ORCID,Saidmamatov Olimjon2ORCID,Marty Peter3ORCID

Affiliation:

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

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.

Publisher

MDPI AG

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