Abstract
Air pollution in China has become a matter of increasing public concern. In this paper, we attempted to build a theoretical model to explore the impact of the dynamics of agglomeration externalities on haze pollution in urban China, where agglomeration is differentiated by regional specialization and geographical concentration. Based on China’s panel data for 289 cities during the period of 1998–2018, the empirical result shows that the relationship between industrial agglomeration and urban haze pollution is not simply linear or of an inversed U-type but turns out to be dynamically N-shaped. To be specific, the increase in local haze pollution can be explained by agglomeration externalities in the beginning stage, whereas the reducing effect only occurs during the mature stage. The heterogeneity test indicated that the effect of the type of agglomeration on haze pollution seems to be mixed in different groups of cities, but is still consistent with the hypothesis of the dynamic change of agglomeration externalities. The results are found to be quite robust and consistent after replacing variables and using other regression methods. This paper provides answers to the question of how to coordinate the relationship between developing industry parks and air pollution in terms of the life cycle of agglomeration as well as the types of city.
Highlights
Since the beginning of the reform and opening-up policy in 1978, the Chinese economy has experienced a transformation from a centrally planned market to a fully fledged market, which led to the phenomenon of more enterprises becoming concentrated in some areas, such as the Yangtze River Delta and Pearl River Delta
The heterogeneity test indicated that the effect of the type of agglomeration on haze pollution seems to be mixed in different groups of cities, but is still consistent with the hypothesis of the dynamic change of agglomeration externalities
Hazeit, the dependent variable, denotes haze pollution; Aggit, the independent variable, represents agglomeration externalities which is distinguished between regional specialization and geographic concentration in the estimation; Pit, Ait, and Tit represents the number of population, the degree of affluence and technology innovation, respectively in city i and period t. α is the constant term, while εit is the stochastic error term
Summary
Since the beginning of the reform and opening-up policy in 1978, the Chinese economy has experienced a transformation from a centrally planned market to a fully fledged market, which led to the phenomenon of more enterprises becoming concentrated in some areas, such as the Yangtze River Delta and Pearl River Delta. It is clear that the concentration of PM2.5 can increase the formation of fog and haze weather, and increase the risk of morbidity and mortality for residents [7,8,9,10]. In this context, the question of how to reduce PM2.5 pollution has become of increasing public concern as industrialization and urbanization develop rapidly in China, where the economy is experiencing the transition from high speed growth to high quality development
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