JOEBM 2025 Vol.13(2): 228-231
DOI: 10.18178/joebm.2025.13.2.873
The Relationship between Population Density and Sulfur Dioxide Emissions in China Based on the Perspective of System Theory
Yong Zhan 1,
Xiaoyi Zhan 2,
and
Min Wu 1
1.
School of Public Administration, Sichuan University, Chengdu, China
2.
School of Business, Sichuan University, Chengdu, China
Email: zhanyong@stu.scu.edu.cn (Y.Z.); m15290268271@163.com (M.W.)
*Corresponding author
Manuscript received December 14, 2024; accepted April 23, 2025; published May 28, 2025.
Abstract—Whether the growth of urban population will bring more serious sulfur dioxide pollution is a problem that has drawn experts and governors’ attention. This article analyzes the relationship between urban population density, industrial structure, and sulfur dioxide pollution from the perspective of system theory. The results show that the growth rate of sulfur dioxide emissions is much smaller than the growth rate of population density; after controlling the two-way fixed effect, there is no direct correlation between population density and sulfur dioxide emissions. This paper further finds that the tertiary industry is a mediation channel for population density to affect sulfur dioxide emissions. The increase in population density will promote the development of environmentally friendly tertiary industries, thereby reducing sulfur dioxide emissions. Therefore, simply restricting urban population growth cannot well solve the air pollution problem caused by sulfur dioxide emissions. Instead, the government should promote population agglomeration, play the important role of scale effect and the improve of industrial structure.
Keywords—population density, sulfur dioxide, industrial structure, system theory
Cite: Yong Zhan, Xiaoyi Zhan, and Min Wu, "The Relationship between Population Density and Sulfur Dioxide Emissions in China Based on the Perspective of System Theory," Journal of Economics, Business and Management, vol. 13, no. 2, pp. 228-231, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).