Negative Effects Of Air Pollution Research Articles

Air Pollution and Corporate Innovation: Does Top Management Quality Mediate and Government Talent Policy Moderate?

Air pollution not only poses significant threats to the physical and mental well-being of individuals, but it also has the potential to trigger a regional brain drain, thus inhibiting corporate innovation performance. This study explores the impact of air pollution on corporate innovation from the perspective of top management quality. We find that lower air quality significantly reduces the quality of corporate top management, thereby reducing their innovation output. However, local government talent attention alleviates the negative impact of air pollution on corporate innovation. Further analysis reveals that the local government’s environmental attention aggravates the negative effects of air pollution on corporate innovation. Finally, executive compensation alleviates the negative impact of air pollution on corporate innovation.

Air Pollution, Physical Exercise, and Physical Health: An Analysis Based on Data from the China General Social Survey

This study aims to investigate the influence of air pollution and physical exercise on residents’ health using data from the Chinese General Social Survey (CGSS) 2018. The research is based on the Grossman Health Production Function and employs the ordered logit model to analyze the relationship between air pollution, physical exercise, and residents’ health. We find that among the Chinese population aged 18 and above, air pollution negatively affects residents’ physical health, whereas physical exercise has a significantly positive effect. Introducing gender-stratified and urban–rural stratified models, the research reveals that the negative effects of air pollution on residents’ health vary among different groups. On one hand, men and residents living in urban areas will bear heavier health damages due to air pollution. On the other hand, physical exercise positively affect the health of both men and women, whether in rural or urban areas. Additionally, age and higher income are associated with better physical health, whereas education does not show a significant impact. Based on these findings, a series of policy recommendations have been proposed to comprehensively and systematically promote ecological governance and sustainable development. The government should strengthen environmental regulations, reduce residents’ exposure to air pollution risks, improve the equality of basic public services, invest in rural sports infrastructure, promote healthy lifestyles, and provide personalized health guidance through health education and mobile health services. Moreover, when formulating policies, the government should consider the specific needs of different groups to ensure the fairness and sustainability of the policies.

The air pollution-fertility relationship: evidence from China

ABSTRACT This study investigates the link between air pollution and fertility. We developed a theoretical model of fertility choice in which air pollution affects both reproductive capacity and fertility intention. The model predicts that air pollution decreases fertility and that the negative effect of air pollution on the fertility rate varies across regions with different fertility restrictions and intentions. We use panel data from Chinese cities to empirically investigate the impact of air pollution on fertility and address the potential endogeneity problem by employing three identification strategies: fixed effects, lagged dependent variables, and instrumental variables. The point estimate implies that a one-standard-deviation increase in the 5-year average PM2.5 exposure (18 µg/m3) leads to a 0.417-standard-deviation decrease in the birth rate (1.19‰). Moreover, the negative effect of air pollution on fertility is weaker when the one-child policy is relaxed and is stronger in regions with higher education levels and higher housing prices, suggesting that air pollution decreases fertility through both the biological channel and the intention channel.

Quantification and Characterization of Fine Plastic Particles as Considerable Components in Atmospheric Fine Particles.

The negative effects of air pollution, especially fine particulate matter (PM2.5, particles with an aerodynamic diameter of ≤2.5 μm), on human health, climate, and ecosystems are causing significant concern. Nevertheless, little is known about the contributions of emerging pollutants such as plastic particles to PM2.5 due to the lack of continuous measurements and characterization methods for atmospheric plastic particles. Here, we investigated the levels of fine plastic particles (FPPs) in PM2.5 collected in urban Shanghai at a 2 h resolution by using a novel versatile aerosol concentration enrichment system that concentrates ambient aerosols up to 10-fold. The FPPs were analyzed offline using the combination of spectroscopic and microscopic techniques that distinguished FPPs from other carbon-containing particles. The average FPP concentrations of 5.6 μg/m3 were observed, and the ratio of FPPs to PM2.5 was 13.2% in this study. The FPP sources were closely related to anthropogenic activities, which pose a potential threat to ecosystems and human health. Given the dramatic increase in plastic production over the past 70 years, this study calls for better quantification and control of FPP pollution in the atmosphere.

Ergonomic system of forecasting and analysis of the probability of atmospheric air pollution by emissions of enterprises in the conditions of technogenic development of the world

The article is devoted to the problem of air pollution and its impact on human health and the environment. The paper considers methods of air pollution analysis based on the use of neural networks, taking into account the variety of data from the Internet. The authors emphasize the different effects of pollutants depending on the type, duration and level of exposure, as well as other factors, including individual risks to human health and the combined effects of different pollutants and stress factors. Special attention is paid to the two most common types of air pollution - smog and soot. The uneven distribution of the negative effects of air pollution, which are most often felt in low-income and colored communities, as well as the Air quality Index (AQI) developed by the Environmental Protection Agency, which informs the population about the current state of atmospheric air and its impact on human health, are considered separately. As a result of the work, the criteria for analyzing air quality, including pollution parameters and weather conditions, are presented, and the structure of future data is developed.

Preventing a new baby: Impact of air pollution on fertility intention

This study is the first to investigate the causal link between air pollution and fertility intentions in China, using data from the 2016 China Labor-Force Dynamic Survey to assess the fertility intentions of different sexes for differentiated groups of respondents. The findings show significant negative effects of air pollution on immediate fertility intentions. Specifically, a one standard deviation increase in the daily Air Quality Index in the past three months decreased the immediate fertility intention of interviewees by 0.7527 standard deviations. Moreover, the study reveals that young women who live in more polluted areas show a higher reduction in fertility intention than their counterparts. The results illustrate that air pollution is a key contributor to the son preference and that there is still a marked preference for sons over daughters in China.

Quantifying the potential effects of air pollution reduction on population health and health expenditure in Taiwan

Air pollution, particularly ambient fine particulate matter (PM2.5) pollution, poses a significant risk to public health, underscoring the importance of comprehending the long-term impact on health burden and expenditure at national and subnational levels. Therefore, this study aims to quantify the disease burden and healthcare expenditure associated with PM2.5 exposure in Taiwan and assess the potential benefits of reducing pollution levels. Using a comparative risk assessment framework that integrates an auto-aggressive integrated moving average model, we evaluated the avoidable burden of cardiopulmonary diseases (including ischemic heart disease, stroke, chronic obstructive pulmonary disease, lung cancer, and diabetes mellitus) and related healthcare expenditure under different air quality target scenarios, including status quo and target scenarios of 15, 10, and 5 μg/m3 reduction in PM2.5 concentration. Our findings indicate that reducing PM2.5 exposure has the potential to significantly alleviate the burden of multiple diseases. Comparing the estimated attributable disease burden and healthcare expenditure between reference and target scenarios from 2022 to 2050, the avoidable disability-adjusted life years were 0.61, 1.83, and 3.19 million for the 15, 10, and 5 μg/m3 target scenarios, respectively. Correspondingly, avoidable healthcare expenditure ranged from US$ 0.63 to 3.67 billion. We also highlighted the unequal allocation of resources and the need for policy interventions to address health disparities due to air pollution. Notably, in the 5 μg/m3 target scenario, Kaohsiung City stands to benefit the most, with 527,368 disability-adjusted life years avoided and US$ 0.53 billion saved from 2022 to 2050. Our findings suggest that adopting stricter emission targets can effectively reduce the health burden and associated healthcare expenditure in Taiwan. Overall, this study provides policymakers in Taiwan with valuable insights for mitigating the negative effects of air pollution by establishing a comprehensive framework for evaluating the co-benefits of air pollution reduction on healthcare expenditure and disease burden.

Challenges and risks of Serbian spruce (Picea omorika [pančić] purk.) in the time of climate change – a literature review

Abstract Serbian spruce (Picea omorika [Pančić] Purk.) is a Balkan endemic coniferous species, the expansion of which is restricted by limited knowledge. This literature review paper compiles findings from 176 scientific papers and presents a summary of research results that pertain to the Serbian spruce potential in general, with a specific focus on European forests from 1951 to 2022. It summarizes the importance of its taxonomy, biological and ecological characteristics, site demands, production and silviculture, risks and pests, as well as the potential of this tree species in relation to global climate change. Serbian spruce is very resistant to the negative effect of air pollution and extreme heat waves compared to other spruce species, especially the most economically important spruce species in Europe– Norway spruce (Picea abies [L.] Karst.). Moreover, its radial growth shows highly balanced annual increments, and the density and technical parameters of the wood are comparable with Norway spruce. On the other hand, the highest weakness may be the limited genetic variability. Despite its rather limited natural range, Serbian spruce can be considered one of the most adaptable spruces to anthropogenic factors and climate change, and a valuable tree species for urban landscapes. Its production potential of wood on acidic, dry and extreme sites makes it attractive for forestry, through its introduction.

Long-term exposure to low concentrations of air pollution and decline in lung function in people with idiopathic pulmonary fibrosis: Evidence from Australia.

Little is known about the association between ambient air pollution and idiopathic pulmonary fibrosis (IPF) in areas with lower levels of exposure. We aimed to investigate the impact of air pollution on lung function and rapid progression of IPF in Australia. Participants were recruited from the Australian IPF Registry (n = 570). The impact of air pollution on changes in lung function was assessed using linear mixed models and Cox regression was used to investigate the association with rapid progression. Median (25th-75th percentiles) annual fine particulate matter (<2.5 μm, PM2.5 ) and nitrogen dioxide (NO2 ) were 6.8 (5.7, 7.9) μg/m3 and 6.7 (4.9, 8.2) ppb, respectively. Compared to living more than 100 m from a major road, living within 100 m was associated with a 1.3% predicted/year (95% confidence interval [CI] -2.4 to -0.3) faster annual decline in diffusing capacity of the lungs for carbon monoxide (DLco). Each interquartile range (IQR) of 2.2 μg/m3 increase in PM2.5 was associated with a 0.9% predicted/year (95% CI -1.6 to -0.3) faster annual decline in DLco, while there was no association observed with NO2 . There was also no association between air pollution and rapid progression of IPF. Living near a major road and increased PM2.5 were both associated with an increased rate of annual decline in DLco. This study adds to the evidence supporting the negative effects of air pollution on lung function decline in people with IPF living at low-level concentrations of exposure.

Air Quality Monitoring and Controlling Using IOT

Smart cities are growing as a crucial area of research on an international level; they improve infrastructure to address issues brought on by the high rate of development. With Arduino's assistance, this system is cheap and simple to construct, and it operates relatively efficiently in locations with medium traffic. The public plays a significant role in deciding on policies to fight air pollution. To encourage public recognition of the duty and some form of action is a crucial role in any society. The studies determined the pollution level; if the level exceeds the permissible level, a decision is made to notify the authoñties, who can use this information to plan preventive actions and take steps to halt tile ongoing negative effects of air pollution and prevent the evolution of developments in technology are beneficial to us; in our current surroundings, air pollution monitoring systems play an important role since they directly affect our daily lives. The government determines the acceptable emission limits in accordance with Bharat Stage standards. The level of a vehicle's emissions rises as a result of incorrect maintenance. The owner of the car will be warned of the dangerous levels of pollution when the emission levels of the vehicle grow.There will be emissions from every car. Emissions cannot be totally avoided, but they may be tracked and managed with the use of an embedded pollution detection system. In order to provide some insightful ideas for the sustainable growth of urban traffic, it focuses on learning some achievable strategies for managing and effectively reducing urban traffic pollution

Hybrid Prediction Model of Air Pollutant Concentration for PM2.5 and PM10

To alleviate the negative effects of air pollution, this paper explores a mixed prediction model of pollutant concentration based on the machine learning method. Firstly, in order to improve the prediction performance of the sparrow search algorithm least square support vector machine (SSA-LSSVM), a reverse learning strategy-lens principle is introduced, and a better solution is obtained by optimizing the current solution and reverse solution at the same time. Secondly, according to the nonlinear and non-stationary characteristics of the time series data of PM2.5 and PM10, the variational mode decomposition (VMD) method is used to decompose the original data to obtain the appropriate K value. Finally, experimental verification and an empirical analysis are carried out. In experiment 1, we verified the good performance of the model on University of California Irvine Machine Learning Repository (UCI) datasets. In experiment 2, we predicted the pollutant data of different cities in the Beijing–Tianjin–Hebei region in different time periods, and obtained five error results and compared them with six other algorithms. The results show that the prediction method in this paper has good robustness and the expected results can be obtained under different prediction conditions.

Air Pollution and Prosocial Behavior in Chinese Adolescents: The Role of Resilience and Interpersonal Relations.

Past studies have indicated that air pollution is a major environmental factor that negatively affects prosocial behavior in adolescents. However, the mechanism underlying this negative relationship has not been fully explored. This study postulated that this impact may occur through individual resilience, a major psychological capital for adolescents. In addition, we studied interpersonal relations, namely, adolescents' perceived family and teacher support, which may moderate the proposed relationship. This study combined the three-year tracking survey data of 11-to-15 old adolescents (N=1301; approximately 48% female) in China with objective data from the air quality index (AQI) to measure the level of air pollution. Findings from ordinary least squares analysis indicated that air pollution negatively influences adolescents' prosocial behavior, and their resilience mediates this negative relationship. In addition, the results showed that the negative effect of air pollution on adolescent resilience is attenuated by higher family income, whereas it is accentuated by the absence of teacher support. Our study provides insight into how the negative effect of air pollution on adolescents' prosocial behavior is mediated by their psychological resilience, and highlights the moderating role of adolescents' interpersonal relations in the association between air pollution and their psychological resilience. Our research also provides practical advice on how families, teachers, and psychologists can mitigate this negative impact.

Cardiorespiratory fitness may protect brain health against the negative effects of air pollution: Cross-sectional results from the 4HAIE study

Cardiorespiratory fitness may protect brain health against the negative effects of air pollution: Cross-sectional results from the 4HAIE study

Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility

BackgroundThe negative effect of air pollution on human health is widely reported in recent literature. It typically involves urbanized areas where the population is concentrated and where most primary air pollutants are produced. A comprehensive health risk assessment is therefore of strategic importance for health authorities.MethodsIn this study we propose a methodology to perform an indirect and retrospective health risk assessment of all-cause mortality associated with long-term exposure to particulate matter less than 2.5 microns (PM2.5), nitrogen dioxide (NO2) and ozone (O3) in a typical Monday to Friday working week. A combination of satellite-based settlement data, model-based air pollution data, land use, demographics and regional scale mobility, allowed to examine the effect of population mobility and pollutants daily variations on the health risk. A Health Risk Increase (HRI) metric was derived on the basis of three components: hazard, exposure and vulnerability, utilizing the relative risk values from the World Health Organization. An additional metric, the Health Burden (HB) was formulated, which accounts for the total number of people exposed to a certain risk level.ResultsThe effect of regional mobility patterns on the HRI metric was assessed, resulting in an increased HRI associated with all three stressors when considering a dynamic population compared to a static one. The effect of diurnal variation of pollutants was only observed for NO2 and O3. For both, the HRI metric resulted in significantly higher values during night. Concerning the HB parameter, we identified the commuting flows of the population as the main driver in the resulting metric.ConclusionsThis indirect exposure assessment methodology provides tools to support policy makers and health authorities in planning intervention and mitigation measures. The study was carried out in Lombardy, Italy, one of the most polluted regions in Europe, but the incorporation of satellite data makes our approach valuable for studying global health.

How does air pollution affect the stock market performance? Evidence from China.

Given its broad impact on human society, air pollution could become a non-economic factor affecting the stock market. But the impact of air pollution on the stock market performance has not received enough attention. This study examines the influence and potential mechanism of air pollution on stock market performance based on the panel data of 1344 A-share listed firms in China covering the period 2013-2019. The result shows that air pollution can negatively affect stock market performance. Second, heterogeneity analysis creatively points out that firms with less analysts, smaller size, stated-owned ownership, polluting related industry are more vulnerable to the negative effects of air pollution. Finally, the result also reveals a mechanism that air pollution could worsen the stock market by depressing investors' sentiments. The above findings enrich current research related to the impact of air pollution on stock market performance and also provide a new perspective for investors to make stock investment decisions.

Air pollution and elite adolescent soccer players’ performance and well-being; an observational study

IntroductionExercising outdoors may inadvertently lead to individuals inhaling levels of air pollution that may be detrimental to their health and activity-related performance. Endurance athletes are a particularly susceptible subgroup due to their high ventilation rates sustained over prolonged periods of time coupled with high training loads that often occur outdoors. In this study, we estimate the effects of air pollution on a series of athletic performance parameters in an elite adolescent soccer team. Methods: External, internal, and subjective loads and wellness questionnaires were recorded for the 26 matches and 197 training sessions carried out during the 2018–19 season for a U19 team competing in Germany. Each session was combined with hourly information on the concentration of PM10, O3 and NO2 in spatial proximity to each playing field for the duration of training or playing. Results: Increases in PM10 and O3 had significant (p <.001) associations with decreasing total distance (m) ran per session. Furthermore, increases in O3 and NO2 concentrations were related to an increase in average heart rate (p <.05). Moreover, increases in PM10 concentration was associated with increased rating of perceived exertion (p <.001). Last, the total inhaled dose of O3 and NO2 over one session was linked to significant (p <.05) decreases in athletes’ wellness scores on the following morning. Discussion: We find supporting evidence of the negative effects of air pollution in elite adolescent soccer players in both matches and training. The negative impacts observed on several aspects of performance are present within an elite team that regularly trained in pollution levels well within the normal ranges of what the World Health Organisation (WHO) reports to be suitable air quality. Therefore, mitigation strategies such as monitoring the air quality at the training pitch are recommended to reduce athlete exposure to air pollution even when exercising in moderate air quality.

Improving air pollutant prediction in Henan Province, China, by enhancing the concentration prediction accuracy using autocorrelation errors and an Informer deep learning model

Air pollution is an important issue affecting sustainable development in China, and accurate air quality prediction has become an important means of air pollution control. At present, traditional methods, such as deterministic and statistical approaches, have large prediction errors and cannot provide effective information to prevent the negative effects of air pollution. Therefore, few existing methods could obtain accurate air pollutant time series predictions. To this end, a deep learning-based air pollutant prediction method, namely, the autocorrelation error-Informer (AE-Informer) model, is proposed in this study. The model implements the AE based on the Informer model. The AE-Informer model is used to predict the hourly concentrations of multiple air pollutants, including PM10, PM2.5, NO2, and O3. The experimental results show that the mean absolute error (MAE) and root mean square error (RMSE) values of AE-Informer in multivariate prediction are 3% less than those of the Informer model; thus, the prediction error is effectively reduced. In addition, a stacking ensemble model is proposed to supplement the missing air pollutant time series data. This study uses Henan Province in China as an example to test the validity of the proposed methodology.

Air pollution and corporate risk-taking: Evidence from China

Using a sample of Chinese listed companies from 2014 to 2018, we investigate the effect of air pollution on corporate risk-taking. The findings show that air pollution is negatively related to corporate risk-taking in China. The mechanism analyses find that executive incentives and state ownership weaken the negative effect of air pollution on corporate risk-taking, suggesting that inducing negative mood to executives and increasing environmental regulations by local governments are two potential channels. Overall, our study provides evidence on how air pollution affects corporate policy in terms of risk-taking.

Understanding the Interplay between Air Pollution, Biological Variables, and Major Depressive Disorder: Rationale and Study Protocol of the DeprAir Study

Major depressive disorder (MDD) is a serious and disabling condition, whose etiological mechanisms are not fully understood. The aim of the DeprAir study is to verify the hypothesis that air pollution exposure may exacerbate neuroinflammation with consequent alterations in DNA methylation of genes involved in circadian rhythms and hormonal dysregulation, resulting in the worsening of depressive symptoms. The study population consists of 420 depressed patients accessing the psychiatry unit of the Policlinico Hospital (Milan, Italy), from September 2020 to December 2022. Data collection is still ongoing for about 100 subjects. For each participant demographic and lifestyle information, depression history and characteristics, as well as blood samples, were collected. MDD severity was assessed through five rating scales commonly used in clinical practice to assess the severity of affective symptoms. Exposure to particulate and gaseous air pollutants is assigned to each subject using both air pollution monitoring station measurements and estimates derived from a chemical transport model. DeprAir is the first study investigating in a comprehensive picture whether air pollution exposure could be an important modifiable environmental factor associated with MDD severity and which biological mechanisms mediate the negative effect of air pollution on mental health. Its results will represent an opportunity for preventive strategies, thus entailing a tremendous impact on public health.

Is cardiorespiratory fitness protective against the negative effects of air pollution on brain health? Cross-sectional results from the 4HAIE study

Is cardiorespiratory fitness protective against the negative effects of air pollution on brain health? Cross-sectional results from the 4HAIE study