China's Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model.

Qilong Cao,Xueting Niu,Ying Liang

doi:10.3390/ijerph14091081

Abstract

Background: Air pollution has become an important factor restricting China’s economic development and has subsequently brought a series of social problems, including the impact of air pollution on the health of residents, which is a topical issue in China. Methods: Taking into account this spatial imbalance, the paper is based on the spatial panel data model PM2.5. Respiratory disease mortality in 31 Chinese provinces from 2004 to 2008 is taken as the main variable to study the spatial effect and impact of air quality and respiratory disease mortality on a large scale. Results: It was found that there is a spatial correlation between the mortality of respiratory diseases in Chinese provinces. The spatial correlation can be explained by the spatial effect of PM2.5 pollutions in the control of other variables. Conclusions: Compared with the traditional non-spatial model, the spatial model is better for describing the spatial relationship between variables, ensuring the conclusions are scientific and can measure the spatial effect between variables.

Highlights

Clean air is a basic demand of human health and well-being [1], yet air pollution is still a serious problem globally, especially in fast-developing countries such as China
Long-term or short-term survival in the context of excessive PM2.5 will increase the risk of people suffering from various diseases, such as diabetes, increased hypertension [5], cardiovascular disease [6], cardiopulmonary disease [7] and lung cancer [8,9], all resulting in an increase of mortality [10]
It indicates that regions with higher per capita income levels have higher respiratory disease mortality

Summary

Introduction

Clean air is a basic demand of human health and well-being [1], yet air pollution is still a serious problem globally, especially in fast-developing countries such as China. Air pollution has a serious impact on people’s physical and mental health. Long-term or short-term survival in the context of excessive PM2.5 will increase the risk of people suffering from various diseases, such as diabetes, increased hypertension [5], cardiovascular disease [6], cardiopulmonary disease [7] and lung cancer [8,9], all resulting in an increase of mortality [10]. Air pollution adversely affects people’s mental health [13]. Air pollution has become an important factor restricting China’s economic development and has subsequently brought a series of social problems, including the impact of air pollution on the health of residents, which is a topical issue in China. Respiratory disease mortality in 31 Chinese provinces from 2004 to 2008 is taken as the main variable to study the spatial effect and impact of air quality and respiratory disease mortality on a large scale. Conclusions: Compared with the traditional non-spatial model, the spatial model is better for describing the spatial relationship between variables, ensuring the conclusions are scientific and can measure the spatial effect between variables

Objectives

Methods

Results

Conclusion