Characterizing air pollution risk perceptions among high-educated young generation in China: How does risk experience influence risk perception. Issue 123 (September 2021)

• Record Type: Journal Article
• Authors: Zhou, Qi; Chen, Nuo; Pan, Xin; Xu, Xue; Liu, Beibei; Liu, Miaomiao; Bi, Jun; Kinney, Patrick L.
• Is Part Of: Environmental science & policy. Issue 123(2021)
• Page Start: 99
• Page End: 105
• Publication Date: 2021-09
• Subjects: RA risk acceptance -- PB perceived benefit -- PR perceived risk -- GT government trust -- SK self-assessed knowledge -- OK objective knowledge -- MLE monthly living expenses -- LRP group low risk perception group -- HRP group high risk perception group; Risk acceptance -- Air pollution -- High-educated young generation -- Heterogeneity -- Sensitive groups -- Historical experience; Environmental policy -- Periodicals; Environmental sciences -- Periodicals; Environnement -- Politique gouvernementale -- Périodiques; Sciences de l'environnement -- Périodiques; Environmental policy; Environmental sciences; Periodicals; Electronic journals; 363.70561
• DOI: 10.1016/j.envsci.2021.05.006
• Languages: English
• ISSNs: 1462-9011

Abstract

Graphical abstract: Highlights: The young Chinese generation's overall risk perception for air pollution was surveyed. Spatial heterogeneity of risk perception for air pollution was measured. Groups sensitive to air pollution from the risk perception views were identified. Roles of historical air pollution exposure in modifying risk perception were explored. Abstract: Psychometric paradigms have been developed and extensively applied in risk perception analyses, but relatively few studies have examined risk perception of air pollution in developing countries where the public is exposed to extremely high pollution levels. We conducted a stratified sampling questionnaire survey among 1988 college students from throughout China studying in Nanjing, to examine how risk perceptions are influenced by socioeconomic factors and historical exposure among the high-educated young generation who will become leaders in future air pollution risk management and communications. First, a six-factor confirmatory factor analysis was conducted to estimate risk perception levels from the observable indices. 40 % of the participants felt air pollution levels in Nanjing were unacceptable, which suggested that air pollution control actions do not meet public expectations at the survey time. Hierarchical k-means clustering demonstrated difference in the spatial distribution of risk perception. Results showed that students from the northern part of China had higher risk acceptance, lower perceived risk, and higher government trust than other regions. Females, older participants, participants with higher education, and participants with higher economic levels were identified as risk-sensitive groups to air pollution by using linear regression analyses. The regression coefficients of risk perception and historical exposure decreased as the days tracking back to a pollution episode increased. The cut-off point where regression coefficients turned from significant to non-significant was around 60 days for risk acceptance, 10 days for perceived benefit, and 30 days for government trust. This indicates that a 2-month time window is a prime time for risk communication after a pollution episode.