Title: Nexus between economic growth and CO₂ emissions in ASEAN countries

Authors: Khin Sandi Myint; Shihua Luo; Xiangyong Tan; Kyaw Htay; Mohanned Abduljabbar Hael; Ni Ni Aung; Mohammad Saiyedul Islam

Addresses: Department of Statistics, Naypyitaw State Academy, Nay Pyi Taw, Myanmar; School of Statistics and Data Science, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi, China ' School of Statistics and Data Science, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi, China ' School of Statistics and Data Science, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi, China ' School of International Trade and Economics, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi, China ' Department of Data Science and Information Technology, Taiz University, Yemen; School of Statistics and Data Science, Jiangxi University of Finance and Economics, No. 169, East Shuanggang Road, Changbei, Nanchang, Jiangxi, China ' School of Economics, Huazhong University of Science and Technology, Wuhan, China ' School of International Trade and Economics, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

Abstract: The intricate interplay between economic growth (EG) and carbon dioxide (CO₂) diffusion is a critical consideration in sustainable development, as these two issues are closely intertwined and subject to multifaceted dynamics that require careful analysis and management. This study uses the panel quantile regression technique to investigate the nexus between EG and CO₂ spread in ASEAN countries using secondary World Bank data. The result mentions that EG has a statistically significant effect on CO₂ production. Increasing GDP and labour force increases CO₂ production. This study uses the pairwise Granger causality test to explore the novel relationships between two variables.

Keywords: panel quantile regression; CO₂ emissions; economic growth; labour force; urban population.

DOI: 10.1504/IJGW.2024.142609

International Journal of Global Warming, 2024 Vol.34 No.3, pp.275 - 290

Received: 06 Dec 2023
Accepted: 12 Mar 2024
Published online: 11 Nov 2024 *

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