Impacts of Social Inequality, Air Pollution, Rural-Urban Divides, and Insufficient Green Space on Residents' Health in China: Insight from Chinese General Social Survey Data Analysis

Int J Environ Res Public Health. 2022 Oct 31;19(21):14225. doi: 10.3390/ijerph192114225.

Abstract

Attention to physical and mental health is becoming more intensive. In China, factors and mechanisms are now a focus of research. We used dynamic air quality monitoring data and the Chinese General Social Survey (CGSS) to assess the spatial differences and the coupling between subjective and objective air pollution. In addition, a logistic model was used to explore the impact mechanisms of social inequality, air pollution, food safety, and lack of green space on health. The results show that (1) the impact of subjective and objective air pollution on the health level of the population is significant; (2) income inequality, air pollution, food pollution, and travel behavior significantly affect the residents' health; and (3) environmental health has a significant differentiation mechanism between urban and rural areas. The negative health effects of air pollution and insufficient green space are more significant in cities; food pollution is more likely in rural areas. In terms of socioeconomic inequality, gender, family size, travel, and physical exercise had no significant effect on rural health. Health improvement was higher in the low-income group than in the high-income group. The adverse effect of travel behavior on environmental pollution is conducive to improving health. Therefore, social equality, strictly controlled environmental pollution, exercise, and travel can help narrow the gap between rich and poor, promote urban-rural health equity, and improve human health.

Keywords: air pollution; health; social inequality; travel behavior; urban–rural differentiation mechanism.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollution* / analysis
  • China / epidemiology
  • Data Analysis
  • Humans
  • Parks, Recreational*
  • Socioeconomic Factors

Grants and funding

This research was supported by the National Natural Science Foundation of China (52278076), Hubei Provincial Social Science Fund General Project (later funded project; 2020158), the Construction Science and Technology Plan Project of Hubei Provincial Department of Housing and Urban Rural Development (research on the evaluation system of urban human settlement environment quality based on multivariate big data, 2021018), and the Hubei University Student Innovation and Entrepreneurship Project (S202010490027).