The construction and examination of social vulnerability and its effects on PM2.5 globally: combining spatial econometric modeling and geographically weighted regression

Yang, Xinya; Geng, Liuna; Zhou, Kexin

doi:10.1007/s11356-021-12508-6

Cited by 18 publications

(5 citation statements)

References 75 publications

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“…This study’s findings are consistent with Kim et al’s [ 83 ] findings. Residents’ socioeconomic status, especially education and social class, had a significant positive impact on self-rated health and mental health, which confirms the findings of Yang et al [ 84 ] and Ou et al [ 73 ]. One possible explanation is that people with higher education levels have stronger environmental and health awareness, have higher health literacy, and are more capable of avoiding and protecting themselves from air pollution.…”

Section: Resultssupporting

confidence: 87%

Air Quality, Pollution Perception, and Residents’ Health: Evidence from China

Zhu

Xie

2023

Toxics

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Environmental and resident health issues associated with air pollution are an area of growing concern for both policy officials and the general public. In recent years, China has been accelerating the construction of a Beautiful China and a Healthy China, with the aim of protecting and improving the environment and ensuring public health. In this study, we aimed to explore the impact of air quality and air pollution perception on residents’ health. This study used the 2017 Chinese General Social Survey data to measure self-rated health, mental health, and air pollution perception. Using matched socioeconomic indicators and air pollution data, we analyzed the relationship between subjective perception of air pollution, objective air pollution data, and residents’ health. The results showed the following: (1) Air pollution perception has a significant negative impact on self-rated health and mental health. Thus, it needs more consideration to reduce environmental health risks. (2) Objective air pollution has a significant negative impact on mental health. At the same time, its effect on self-rated health was insignificant. These results provide empirical evidence supporting the Chinese government’s decision to invest more in combating air pollution and ensuring the health of Chinese residents.

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Section: Resultssupporting

confidence: 87%

Air Quality, Pollution Perception, and Residents’ Health: Evidence from China

Zhu

Xie

2023

Toxics

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“…Cold spots (i.e., low-value concentration areas (LL) of O 3 concentration growth rate) were predominately distributed in SS and SA, where O 3 pollution is relatively low. This is similar to the spatial agglomeration pattern of PM 2.5 concentration around the globe (Yang et al 2021 ). Li et al ( 2019 ) believed that an important factor for the aggravation of O 3 pollution is the decrease of PM 2.5 concentration, because a sharp reduction of PM 2.5 will cause the heterogeneous absorption of O 3 precursors, which will further aggravate the photochemical reaction of O 3 .…”

Section: Resultssupporting

confidence: 86%

Exposure Risk of Global Surface O3 During the Boreal Spring Season

et al. 2022

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Surface ozone (O 3 ) is an oxidizing gaseous pollutant; long-term exposure to high O 3 concentrations adversely affects human health. Based on daily surface O 3 concentration data, the spatiotemporal characteristics of O 3 concentration, exposure risks, and driving meteorological factors in 347 cities and 10 major countries (China, Japan, India, South Korea, the United States, Poland, Spain, Germany, France, and the United Kingdom) worldwide were analyzed using the MAKESENS model, Moran’ I analysis, and Generalized additive model (GAM). The results indicated that: in the boreal spring season from 2015 to 2020, the global O 3 concentration exhibited an increasing trend at a rate of 0.6 μg/m 3 /year because of the volatile organic compounds (VOCs) and NOx changes caused by human activities. Due to the lockdown policies after the outbreak of COVID-19, the average O 3 concentration worldwide showed an inverted U-shaped growth during the study period, increasing from 21.9 μg/m 3 in 2015 to 27.3 μg/m 3 in 2019, and finally decreasing to 25.9 μg/m 3 in 2020. According to exposure analytical methods, approximately 6.32% of the population (31.73 million people) in the major countries analyzed reside in rapidly increasing O 3 concentrations. 6.53% of the population (32.75 million people) in the major countries were exposed to a low O 3 concentration growth environment. Thus, the continuous increase of O 3 concentration worldwide is an important factor leading to increasing threats to human health. Further we found that mean wind speed, maximum temperature, and relative humidity are the main factors that determine the change of O 3 concentration. Our research results are of great significance to the continued implementation of strict air quality policies and prevention of population hazards. However, due to data limitations, this research can only provide general trends in O 3 and human health, and more detailed research will be carried out in the follow-up. Supplementary Information The online version contains supplementary material available at 10.1007/s12403-022-00463-7.

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“…This part does not affect local haze pollution, so we subtract it (Shao et al 2016). And the diffusion of haze pollution from other areas and the dispersal of the region to other areas reflect the spatial dependence of haze pollution in each region (Yang et al 2021). Based on this, this study will establish spatial econometric models.…”

Section: Methodology Spatial Econometric Modelsmentioning

confidence: 98%

“…But with the increase in the complexity of the external shape and the fragmentation of the city, manufacturing agglomeration has been suppressed. And the crowding effect of manufacturing agglomeration is greater than the effect of economies of scale, thus showing a promoting effect on haze pollution (Yuan et al 2020). When urban compactness is low, disordered, low-density urban sprawl can negatively impact economic development.…”

Section: Literature Review and Theoretical Hypothesesmentioning

confidence: 99%

Manufacturing agglomeration, urban form, and haze pollution

Wei

2022

Environ Sci Pollut Res

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Manufacturing agglomeration promotes rapid economic development while also causing severe environmental pollution. This paper investigates the impact and mechanism of manufacturing agglomeration on haze pollution from the Chinese city level. Furthermore, we discuss the moderating effect and threshold effect of the three urban forms of urban external shape complexity, urban compactness, and urban fragmentation on the relationship between the two. The result shows: (1) The aggregation of the manufacturing industry presents an inverted U-shaped characteristic of promoting first and then inhibiting haze pollution in China's overall, eastern and central regions. (2) The complexity of the city's external shape and the city's fragmentation has a positive moderating effect on the relationship between manufacturing agglomeration and haze pollution. And urban fragmentation shows a negative moderating effect on the relationship between the two when the level of manufacturing agglomeration is on the right side of the inverted U-shaped curve. (3) The urban form shows a significant double threshold characteristic for haze pollution, increasing the complexity of the city's external shape and the city's fragmentation. The agglomeration of manufacturing shows the characteristics of first inhibiting and then promoting haze pollution. As urban compactness increases, the inhibitory effect of manufacturing agglomeration on haze pollution increases.

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The construction and examination of social vulnerability and its effects on PM2.5 globally: combining spatial econometric modeling and geographically weighted regression

Cited by 18 publications

References 75 publications

Air Quality, Pollution Perception, and Residents’ Health: Evidence from China

Air Quality, Pollution Perception, and Residents’ Health: Evidence from China

Exposure Risk of Global Surface O3 During the Boreal Spring Season

Manufacturing agglomeration, urban form, and haze pollution

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