Factors Influencing Air Pollution Control of Beijing-Tianjin-Hebei Region in China

Yashuo Yang; Wasin  Phromphithakkul

doi:10.14456/jsasr.2023.12

Authors

Yashuo Yang School of Management, Shinawatra University, Thailand https://orcid.org/0009-0006-4689-9623
Wasin Phromphithakkul School of Management, Shinawatra University, Thailand https://orcid.org/0000-0002-7387-5372

DOI:

https://doi.org/10.14456/jsasr.2023.12

Keywords:

Air Pollution; , Beijing-Tianjin-Hebei Region; , Influencing Factor

Abstract

Background and Aim: Air pollution is one of the most concerning public events in the field of the environment in recent years. In recent years, the air pollution problem in the Beijing-Tianjin-Hebei region is more serious, which has aroused great attention in academic circles. This paper aims to use the spatial econometric model to analyze the factors influencing air pollution in Beijing-Tianjin-Hebei in China.

Materials and Methods: This literature research use time series or panel data for analysis, according to the research results of Feng, Y., et al. (2017) and Lei, J., et al. (2018), the empirical results of using the spatial econometric model to analyze the influencing factors of regional air pollution.

Results: The spatial Durbin model (SDM) is used to test the factors influencing air pollution control of the Beijing-Tianjin-Hebei region, and then the spatial lag model (SLM) and spatial error model (SEM) are used to test the robustness. The empirical results show that there is a significant positive correlation between population density, urbanization rate, car ownership rate, and PM2.5, while there is a significant negative correlation between GDP growth rate, greening rate, and PM2.5.

Conclusion: In a word, the above indicators analyze their spatial influence mechanism from the dimensions of environment, economy, and society. This shows that the causes of air pollution in the Beijing-Tianjin-Hebei region are multi-layered, and local governments need to coordinate governance from organizational relationships, safeguard mechanisms, and other aspects to fundamentally and effectively solve the above problems.

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