Spatial distribution of the public's risk perception for air pollution: A nationwide study in China

Abstract

Severe air pollution problems have led to a rise in the Chinese public's concern. Risk perception is one of the most important indicators of the public's concern about air pollution. However, there existed few studies exploring the spatial distribution of risk perception. To fill the gap, psychometric paradigm methods was adopted to assess the public's risk perception of air pollution. A nationwide empirical study was conducted from December 2016 to February 2017 and 10,653 completed questionnaires were collected. According to a series of screening strategies, 9744 qualified questionnaires were included as a sample, which covered 31 China provinces (Hong Kong, Macao and Taiwan were not included in this study).We found that 45% of the respondents were dissatisfied with the current air quality, many respondents concerned a lot about air pollution (76%) and worried about the harmful consequences of being exposed to air pollution (86%). There was significant difference in the public's risk perception and attitude toward air pollution among different regions: the respondents in the northeast region, northern coastal region, eastern coastal region and Middle Yellow river region perceived higher air pollution risk and lower satisfaction with air quality than other regions; and the public's trust in the government increased from coastal regions to inland regions. In addition, the hierarchical linear model (HLM) was used to explore the effects of demographic, environmental and economic factors on public risk perception and attitude toward air pollution. Based on this, the characteristics of sensitive populations regarding air pollution were identified. What's more, we found that PM2.5 has a positive influence on perceived risk factor (PR) and can strengthen the positive correlation between PR and satisfaction with air quality (SAQ). Finally, policy implications behind these results were discussed, which can provide references and lay the foundation for policymakers and subsequent researchers.