The effect of traffic density on smog pollution: Evidence from Chinese cities

Xie, Rui; Wei, Dihan; Han, Feng; Ya, LU; Fang, Jiayu; Liu, Yu; Junfeng, Wang

doi:10.1016/j.techfore.2018.04.023

Cited by 96 publications

(31 citation statements)

References 23 publications

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“…Research on urbanization and its problems in various countries provides useful references for understanding the general laws of urban development, but the issue of urbanization in China requires special attention due to its own characteristics. China’s research on urbanization and its problems mainly focus on environmental pollution [ 31 , 32 , 33 , 34 , 35 , 36 , 37 ], traffic congestion [ 38 , 39 ], or spatial economic differences [ 40 , 41 ], whereas analysis of public health emergencies in cities is insufficient. The current research on COVID-19 in China has mostly analyzed the evolution of the epidemic, or discussed its economic impact at a macro level, but has not studied its impact from the perspective of urbanization.…”

Section: Literature Review and Theoretical Elaborationmentioning

confidence: 99%

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

Yang

Wang

Zhang

et al. 2020

IJERPH

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In the context of the rapid development of urbanization and increasing population mobility in China, the outbreak of COVID-19 has had a significant impact on China’s economy and society. This article uses China UnionPay transaction data and takes Hubei, the worst-hit region by COVID-19 in China, as an example, to conduct empirical analysis using the generalized method of moments (GMM) of the impact of current urbanization patterns on the spread of the epidemic and economic recovery from the perspectives of time, industry, and regional differences. The study found that during the different stages of COVID-19, including discovery, outbreak, and subsidence, the overall impact of urbanization on the economy in Hubei Province was first positive, then became negative, and finally gradually increased. This process had significant industrial and urban heterogeneity, which was mainly manifested in losses in tourism and catering industries that were significantly greater than those in the audio-visual entertainment and digital office industries. Similarly, the recovery speed of large cities was lower than that of small and medium-sized cities. The main reason for these differences is that the one-sided problem of urbanization is more obvious in areas with higher urbanization rates. COVID-19 has drawn attention to the development of urbanization in the future, that is, the development path of one-sided economic resource agglomeration and scale expansion should be abandoned, with greater attention paid to the improvement of service functions and the development of amenities. This transformation is necessary to enhance urban economic resilience and reduce public health risks.

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Section: Literature Review and Theoretical Elaborationmentioning

confidence: 99%

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

Yang

Wang

Zhang

et al. 2020

IJERPH

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“…Sources of air pollution are numerous and diverse, both natural and resulting from human activities. The substances most commonly emitted to the atmosphere from commercial activities include sulfur dioxide, nitrogen oxides, particulate matter, volatile organic compounds, heavy metals and odors [1][2][3]. Large combustion plants, i.e., above all power plants and combined heat and power plants, are considered the most important sources of sulfur dioxide emissions.…”

Section: Introductionmentioning

confidence: 99%

Smog Episodes in Poland

Wielgosiński

Czerwińska

2020

Atmosphere

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The phenomenon of above-average air pollution, i.e., smog, in urban areas is known. Two types of smog have been described in the literature: London and Los Angeles smog. They differ in the conditions of formation and areas of occurrence. In recent years, the phenomenon of smog has also been observed in Poland, where the main reason for poor air quality is exceeding the permissible PM10 concentrations. The main source of particulate matter emissions in Poland is the so-called “low emission”, i.e., released by emitters up to 40 m high, mainly from domestic boilers and traffic. Based on the data from the environmental protection inspection, an analysis was carried out of the impact of atmospheric factors, such as atmospheric pressure and air temperature, on air pollution caused by particulate matter in Poland. Next, data concerning the chemical composition of PM10 particulate matter in Poland was analyzed. In the next stage, tests were carried out on ammonia emissions from biomass and coal combustion processes to determine the source of ammonium ions as a component of particulate matter. The results of analyzes and research allowed us to formulate the thesis about the existence of a specific type of smog called “Polish smog” and determine the conditions for its formation.

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“…At present, there is a lack of official statistics on the carbon emission of China's provincial transportation industry. Considering the availability of data, referring to Xie, R., et al [35], this paper uses the provincial data of the Carbon Emission Accouts & Datasets (CEADs) (https://www.ceads.net/data/province/, accessed on 22 June 2021) database, and the provincial transportation industry carbon emissions are the sum of carbon emissions from transportation, warehouses, and transportation equipment in the transportation industry.…”

Section: The Dependent Variablementioning

confidence: 99%

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Shi

Chan

et al. 2021

Atmosphere

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The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

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The effect of traffic density on smog pollution: Evidence from Chinese cities

Cited by 96 publications

References 23 publications

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

Smog Episodes in Poland

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

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