Abstract
Many studies have demonstrated that air quality is an important factor affecting national well-being. Is there a relationship between air pollution and people’s happiness? To explore this, more than 40,000 haze-related tweets on the Chinese largest microblog platform SinaWeibo were collected. Using daily data for 6 Chinese cities from January 1 to February 12, 2023, we applied natural language processing (NLP) to analyze theWeibo tweets and construct a daily city-level expressed happiness metric. A fixed effects model was applied to reveal the relationship between air pollution and happiness. We found that
 a one standard deviation rise in the Air Quality Index corresponded to a 0.042 standard deviation fall in the happiness index on average. People in large and rich cities are more sensitive to air pollution, and people suffer more from air pollution on weekends and holidays than on workdays. This project may provide new insights into air pollution and public engagement, and help governments and related institutions to better understand the public’s needs regarding air quality.
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