Population Density and PM2.5 Pollution: Evidence from China
- DOI
- 10.2991/978-94-6239-598-5_24How to use a DOI?
- Keywords
- Air pollution; Population density; Environmental protection
- Abstract
Air pollution, especially fine particulate matter (PM2.5), is a major global environmental and public health concern. In China’s rapid urbanization, high population concentration intensifies pollution sources and worsens air quality. This study uses high-resolution remote sensing data and national census data from 2000, 2010, and 2020, with county-level units as the basis for analyzing the relationship between population density and PM2.5 pollution.
Baseline OLS regression shows a significant elasticity of 0.087 after controlling for province-by-year fixed effects. To address potential endogeneity, slope and seismic risk index are introduced as exogenous instruments. IV results show that, after controlling for province-by-year fixed effects, the pollution elasticity of population density increases to 0.223.
Further heterogeneity analysis reveals that the impact is more pronounced in economically underdeveloped regions, suggesting weaker pollution control capacity and stronger marginal effects of population agglomeration. These findings highlight the importance of considering regional economic disparities when designing air pollution control policies to achieve more equitable and effective environmental outcomes.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kaijun Nong AU - Pengfei Liu AU - Lei Zhu PY - 2026 DA - 2026/02/26 TI - Population Density and PM2.5 Pollution: Evidence from China BT - Proceedings of the 2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025) PB - Atlantis Press SP - 237 EP - 247 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-598-5_24 DO - 10.2991/978-94-6239-598-5_24 ID - Nong2026 ER -