Abstract
Based on statistical data on 30 provincial administrative regions in China from 2000 to 2016, this paper conducts an empirical study of the impact of industrial agglomeration on haze pollution using the spatial Dubin model (SDM), spatial lag model (SLM), and spatial error model (SEM). The findings are as follows: (1) Industrial agglomeration can effectively reduce the degree of haze pollution. (2) Haze pollution has an inverted U-shaped relationship with economic development and population agglomeration. (3) The secondary industry has a positive correlation with haze pollution, while the tertiary industry can reduce haze pollution but not in an obvious manner. (4) The level of innovation and urbanization can help to reduce haze pollution, and the level of economic opening up and carbon dioxide emissions can exacerbate haze pollution. (5) Due to the insufficient commercialization of scientific and technological achievements, investment in science and technology is not obviously effective in preventing and controlling haze pollution. The relationship between environmental regulation and haze pollution is still unclear due to regional differences and the varied effectiveness of law enforcement. The study suggests that the government should guide industrial agglomeration in a reasonable manner, improve joint prevention and control across regions, and strengthen environmental regulation to prevent and control haze pollution.
Highlights
Since the initiation of the reform and opening up in 1978, China has been developing at a high speed, and in 2010, it became the world’s second largest economy
Air Qual Atmos Health (2020) 13:1305–1312 model (SDM), spatial lag model (SLM), and spatial error model (SEM), this paper empirically analyzes the impact of industrial agglomeration on haze pollution based on statistical data on 30 provinces in China from 2000 to 2016, it investigates the relationship between other control variables and haze pollution, and it proposes countermeasures and suggestions
Within the spatial econometric model framework, this paper investigates the impact of industrial agglomeration on haze pollution in 30 provincial administrative regions of China from 2000 to 2016, and based on the relationships between haze pollution and its independent variables, it proposes some feasible suggestions and countermeasures
Summary
Since the initiation of the reform and opening up in 1978, China has been developing at a high speed, and in 2010, it became the world’s second largest economy. When the threshold is exceeded, the negative externalities of industrial agglomeration will exceed the positive externalities, which will reduce the efficiency of resource utilization and exacerbate haze pollution (Wang and Wang 2019; Guo et al 2020). An exploration of the internal mechanism of the impact of industrial agglomeration on haze pollution holds practical significance for promoting “green” economic development and accelerating haze control. Air Qual Atmos Health (2020) 13:1305–1312 model (SDM), spatial lag model (SLM), and spatial error model (SEM), this paper empirically analyzes the impact of industrial agglomeration on haze pollution based on statistical data on 30 provinces in China from 2000 to 2016, it investigates the relationship between other control variables and haze pollution, and it proposes countermeasures and suggestions
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