International Area Studies Review
[ Article ]
International Area Studies Review - Vol. 27, No. 3, pp.267-288
ISSN: 2233-8659 (Print)
Print publication date 01 Sep 2024
DOI: https://doi.org/10.69473/iasr.2024.27.3.267

The Influence of Income Inequality on Air Environmental Quality: An Analysis of the Inland Region in China

Tao Liu ; Grichawat Lowatcharin* ; Peerasit Kamnuansilpa ; Lingtong Liu
College of Local Administration, Khon Kaen University, Khon Kaen / School of Economics and Management, Ningde Normal University, Ningde, Thailand / China
College of Local Administration, Khon Kaen University, Khon Kaen, Thailand
College of Local Administration, Khon Kaen University, Khon Kaen, Thailand
College of Local Administration, Khon Kaen University, Khon Kaen, Thailand

Correspondence to: *Email: grichawat@kku.ac.th

Abstract

The influence of income inequality on air quality is a multifaceted matter that involves society, economy, and the environment. Although the inland region of China has achieved rapid economic development and fully utilized their abundant natural resources, it has also been accompanied by widening income disparities and environmental pollution issues. Especially the frequent occurrence of haze and sandstorms poses serious challenges to the sustainable development and residents’ lives in inland areas. To gain a deeper understanding of this issue, this paper is based on panel data from 20 provinces, cities, and autonomous regions in the inland region from 2006 to 2020 and uses the pooled Ordinary Least Squares regression (POLS) to conduct an in-depth analysis of the repercussions of income inequality on air quality. By studying the relationship between the two, this paper aims to provide policy makers with scientific and reasonable policy recommendations, better balance income distribution differences and environmental governance, and attain a sustainable and robust development of the economy and environment in inland areas.

Keywords:

Income inequality, Air quality, Pooled ordinary least squares regression, Inland region

AI Acknowledgment

Generative AI or AI-assisted technologies were not used in any way to prepare, write, or complete essential authoring tasks in this manuscript.

Conflict of Interests

The author(s) declare that there is no conflict of interest.

Funding

The author(s) declare that there is no funding.

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