Our study presents fresh insight into the impacts of air-related information accessibility and policy awareness on citizen's life satisfaction, through the lens of perceived air pollution sources. It is widely accepted that disclosing information about air pollution adversely affects an individual's life satisfaction. However, the impact of information accessibility and public policy awareness on life satisfaction remains poorly understood in real-life contexts and their interrelationship warrants exploration. Earlier studies suggested that public scrutiny via information disclosure is a means to lower air pollution levels, potentially enhancing life satisfaction through improved air quality perception and reduced health risks. However, much of that research was based on the flawed presumption that all individuals can access and understand this officially disclosed information. They overlooked the actual availability of information and public reflections on relevant policies that were influenced by their perception of air pollution. This research gap highlights the need for in-depth evidence of the impacts of information accessibility and policy awareness on life satisfaction. Employing a covariance-based Structural Equation Modelling, our study analyses the views of 1867 Beijing residents in 2022. We assessed information accessibility, policy awareness, perceived air pollution sources, life satisfaction, and socio-demographic characteristics covering two time periods: a) before the COVID-19 pandemic and b) during its normalisation phase. Our findings reveal that both information accessibility and policy awareness significantly and positively affect life satisfaction in both periods. Moreover, the indirect parameter analysis underscores the presence of significant heterogeneity when considering the mediating role of impacts of perceived air pollutants. The results of this study offer a novel contribution regarding the relationship between air pollution information accessibility, policy awareness, and life satisfaction.
Keywords: COVID-19; Information accessibility; Life satisfaction; Perceived air pollution; Policy awareness; Structural equation modelling.
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