The effect of Economic Development on haze pollution (PM2.5) based on a spatial perspective: Urbanization as a mediating variable

Gan, Ting; Liang, Wei; Yang, Huachao; Liao, Xianchun

doi:10.1016/j.jclepro.2020.121880

Cited by 108 publications

(40 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Chuersuwan et al (2008) study the main sources of PM2.5 and PM10 and find that vehicle exhaust and material combustion are the main sources of haze pollution in the Bangkok Metropolitan Region (BMR). Based on panel data of 249 Chinese cities, Gan et al (2020), using urbanization as an intermediary variable, study the relationship between economic development level and haze pollution and find that the two show an N-shaped relationship. Li et al (2018) infer that there is a significant spatial spillover effect of haze pollution in the Huang-huai region of China, and industrial agg1lomeration and urbanization will exacerbate haze pollution.…”

Section: Literature Reviewmentioning

confidence: 99%

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Zhao

Cao

2020

Air Qual Atmos Health

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Zhao

Cao

2020

Air Qual Atmos Health

View full text Add to dashboard Cite

show abstract

“…In recent years, the increasing energy consumption and increasingly unreasonable energy consumption structure have aggravated the air pollution problem, attracting the attention of many scientists [10][11][12].…”

Section: Literature Reviewmentioning

confidence: 99%

Renewable Energy Green Innovation, Fossil Energy Consumption, and Air Pollution—Spatial Empirical Analysis Based on China

et al. 2020

View full text Add to dashboard Cite

Excessive consumption of traditional fossil energy has led to more serious global air pollution. This article incorporates renewable energy green innovation (REGI), fossil energy consumption (FEC), and air pollution into a unified analysis framework. Using China’s provincial panel data, a spatial measurement model was used to investigate the spatial effects of renewable energy green innovation and fossil energy consumption on air pollution in China from 2011 to 2017. The global Moran index shows that over time, the spatial correlation of air pollution has gradually weakened, while the global correlation of renewable energy green innovation and fossil energy consumption is increasing year by year. ArcGIS visualization and partial Moran index show that air pollution, renewable energy green innovation, and fossil energy consumption are extremely uneven in geographic space. The spatial distribution of air pollution, renewable energy green innovations, and fossil energy consumption are all characterized by high in the east and low in the west and they all show a strong spatial aggregation. Applying the spatial adjacency matrix to the spatial Durbin model gave the results that China’s air pollution has a significant spatial spillover effect. Replacing fossil fuels with clean renewable energy will reduce air pollutant emissions. The Environment Kuznets Curve (EKC) hypothesis has not been supported and verified in China. The partial differential method test found that the spatial spillover benefits can be decomposed into direct effects and indirect effects. The direct and indirect effects of renewable energy green innovation on air pollution are both significantly negative, indicating that green innovation of renewable energy not only inhibits local air pollution, but also inhibits air pollution in nearby areas. The consumption of fossil energy will significantly increase the local air pollution, while the impact of sulfur dioxide (SO2) and soot (DS) pollution in nearby areas is not obvious. It is recommended to increase investment in renewable energy green innovation, reduce the proportion of traditional fossil energy consumption, and pay attention to the spatial connection and overflow of renewable energy green innovation and air pollution.

show abstract

“…Some scholars focus on economic development and believe that economic development leads to the aggravation of haze pollution [ 23 – 25 ]. Some scholars believe that the urbanization process [ 26 – 28 ], industrial structure [ 29 – 31 ], energy consumption structure [ 32 – 34 ] and foreign investment [ 35 – 38 ] are also important factors leading to the increase in haze pollution. Although these scholars focus on a certain angle, a number of control variables, such as technology investment, transportation, greening level, population density, and human capital, have been added to the actual research.…”

Section: Literature Reviewmentioning

confidence: 99%

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

2020

PLoS ONE

View full text Add to dashboard Cite

Haze pollution in China is very serious and has become the source of mortality, affecting the health and lives of residents. The Chinese government adopts different policy measures to reduce haze pollution. The impact of different types of environmental regulations on haze pollution has become a hot topic for academics and government departments. Based on panel data from 2005–2017, this paper studies the effect of different types of environmental regulations on haze pollution in 30 provinces of China using a panel quantile model. The results show that when haze pollution changes from a low quantile to a high quantile, the marginal impact of command-and-control environmental regulation on haze pollution changes from 0.122 to -0.332. Command-and-control environmental regulation can reduce haze pollution, but its impact is not significant. The main reason for this finding is that environmental law enforcement is not strict. The marginal impact of economically restrained environmental regulation on haze pollution changes from -14.389 to 49.939. Economically restrained environmental regulation can reduce haze pollution in low quantiles, but not in high quantiles. The collection of sewage charges fees is far less than the total profit, which has no deterrent effect on enterprises. The marginal impact of public participation in environmental regulation on haze pollution changes from 0.154 to -0.002. Public participation in environmental regulation cannot reduce haze pollution in low quantiles, but can in high quantiles; however its impact becomes insignificant. This study reveals the quantile-based discrepancy in the effect of environmental regulation on haze pollution, and offers a new perspective for research on the effects of environmental regulation.

show abstract

The effect of Economic Development on haze pollution (PM2.5) based on a spatial perspective: Urbanization as a mediating variable

Cited by 108 publications

References 41 publications

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

A spatial econometric empirical research on the impact of industrial agglomeration on haze pollution in China

Renewable Energy Green Innovation, Fossil Energy Consumption, and Air Pollution—Spatial Empirical Analysis Based on China

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

Contact Info

Product

Resources

About