Spatial Econometric Correlation between Environmental Pollution and Health Risk

Abstract

The research delves into the spatial econometric interconnection between environmental contamination and health hazards. Utilizing data on environmental pollution and human health risks in Zhejiang Province, the study employs spatial autocorrelation analysis and the spatial lag model (SLM) to thoroughly explore the influence of environmental pollution on human health risks and its spatial distribution traits. It is revealed that while the environmental pollution in Zhejiang Province has not escalated to extreme levels, it has already emerged as a threat to human health, particularly in terms of respiratory ailments. Environmental pollution not only directly impacts the health risks in the area but also influences neighboring regions through spatial spillover effects. There are notable disparities in the direct impact coefficient and spatial spillover effect coefficient across different areas, which offer robust backing for the formulation of environmental protection and public health policies. The outcomes of this study not only augment the comprehension of the relationship between environmental pollution and health risks but also furnish a scientific foundation for advancing the formulation and execution of pertinent policies aimed at safeguarding public health and fostering the sustainable development of the ecological environment.