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Along with monitoring air pollution level and rapid economic growth in China, the government has paid attention to the environmental policy innovation (EPI) capacity of local governments. However, scholarly research has not yet clarified the ability of local governments in EPI and its related drivers and impacts. This study explores the dynamic relations between EPI, air pollution, and the economy for the first time, using the simultaneous equation model (SEM) in China during 2006–2015 across 30 provinces. To calculate EPI, this study introduces the comprehensive concept of policy innovation, consisting of invention, diffusion, and evaluation. The results show that EPI is strongly promoted by air pollution; however, promoting EPI alone cannot decrease air pollution. These results would vary among eastern and western provinces. Economic growth has a significant positive effect on EPI and can significantly reduce air pollution. This study suggests policymakers strengthen EPI in order to achieve a balance between air pollution and economic growth. [ABSTRACT FROM AUTHOR]

Exploring exactly where air pollution comes from, and identifying the key factors that influence it, can provide a scientific basis for the rational formulation and effective implementation of air pollution policies in China. Based on the data from 2001 to 2012 covering PM 2.5 concentrations in 285 Chinese cities, we use dynamic spatial panel models to empirically analyze the key driving factors of this air pollution. Results show that China’s urban smog demonstrates both obvious global spatial autocorrelation and local spatial agglomeration. There is a significant inverted “U-shaped” curve between economic development level and air pollution, and most cities are in the phase in which pollution is increasing in conjunction with improvements to the economy. Due to a rapid increase in population in built up areas, a high-proportion of secondary industry, a coal-dominated energy structure and increasing traffic intensity, China’s smog problem is becoming more and more serious. FDI probably will not play a future role in mitigating the air pollution. Central heating in winter in northern China further aggravates local smog to a certain extent. Because China’s haze pollution presents path-dependent characteristics and spatial spillover effects in the time dimension and in the space dimension respectively, so smog alleviation policies should be implemented based both on the strategies of maximizing effort and regional joint prevention and control. [ABSTRACT FROM AUTHOR]

The frequent occurrence of extreme haze episodes in China in recent years has triggered the Chinese government to take action to tackle the serious air quality problems. Fine particulate matter (PM 2.5 ) accounts for much of China's poor air quality; given the health risks associated with such pollution, the spatiotemporal characteristics of urban PM 2.5 concentrations constitute a matter of significant interest within the Chinese research and policy communities. Using the first long-term datasets available in relation to PM 2.5 levels, obtained from a year-long monitoring program of concentrations utilizing 945 monitoring stations in 190 cities in China in 2014, we found significant differences in PM 2.5 concentrations among cities, ranging between 18.7 and 131.4 μg/m 3 , with an average of at 61 ± 20 μg/m 3 ; only 18 (or 9.5%) of the 190 monitored cities could meet the National Ambient Air Quality Standards of China. PM 2.5 concentrations are generally highest in the cities east of the Hu Line and north of the Yangtze River due to high PM emissions from transport and coal combustion and unfavorable atmospheric conditions. We also observed marked seasonal variations in concentration levels, with the highest levels occurring during winter and the lowest in summer. By grouping Chinese cities according to their size, our econometric analysis shows a positive correlation between PM 2.5 concentrations and the size of the urban area, urban population, share of secondary industry and population density, and a first increasing and then decreasing relationship between GDP per capita and PM 2.5 concentration. Urban expansion and structural economic change has thus contributed to an increase in urban PM 2.5 emissions. Without careful planning, continuing urbanization will precipitate further severe air pollution causing significant health risks. [ABSTRACT FROM AUTHOR]