Underlying Dynamics of PM2.5 Concentrations in China: Evidence Based on ARDL Approach
Emrah Eray Akça,
Tayfun Tuncay Tosun
Abstract:This study investigates the underlying dynamics of air pollution utilizing time series data from China over the period 2000–2020. In the empirical setting, air pollution is represented by particulate matter 2.5 (PM2.5) concentrations known as the most detrimental ambient pollutant. The empirical model of the study includes several socioeconomic potential determinants of PM2.5 concentrations. The main motivation behind the study is the downward tendency of PM2.5 concentrations in China as of the second decade o… Show more
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