ArticlePublisher preview available

The impact of air pollution on urban residents’ health expenditure: spatial evidence from Yangtze River Delta, China

Authors:
To read the full-text of this research, you can request a copy directly from the authors.

Abstract and Figures

Currently, preventing and controlling air pollution and inhibiting the excessively rapid growth of medical expenditures to reduce the living burden of residents have become a focus of general concern of society as a whole. It is of great significance to conduct an in-depth study of the relationship between air pollution and public health expenditure and clarify to what extent air pollution affects health expenditure. Thus, this paper adopted spatial econometric methods to measure the impact of air pollution on residents’ health expenditure via panel data from 16 core cities in the Yangtze River Delta in China from 2005 to 2017. The results indicate that (1) at present, the air pollution in the Yangtze River Delta core urban agglomeration is still relatively prominent and has obvious spatial aggregation phenomena, and the particulate matter 2.5 (PM2.5) concentration shows the characteristic of decreasing gradually from northwest to southeast; (2) air pollution is the main factor that promotes the increase in residents’ health expenditure; (3) the spatial spillover effect of air pollution is obvious, accounting for half of the total effect; and (4) the impact of government public services on residents’ health expenditure varies. Finally, this paper proposes corresponding policy implications based on the findings.
This content is subject to copyright. Terms and conditions apply.
The impact of air pollution on urban residentshealth expenditure:
spatial evidence from Yangtze River Delta, China
Han Sun
1,2
&Zhihui Leng
1
&Hengsong Zhao
1
&Shan Ni
1
&Chao Huang
1
Received: 22 May 2020 /Accepted: 1 September 2020
#Springer Nature B.V. 2020
Abstract
Currently, preventing and controlling air pollution and inhibiting the excessively rapid growth of medical expenditures to reduce
the living burden of residents have become a focus of general concern of society as a whole. It is of great significance to conduct
an in-depth study of the relationship between air pollution and public health expenditure and clarify to what extent air pollution
affects health expenditure. Thus, this paper adopted spatial econometric methods to measure the impact of air pollution on
residentshealth expenditure via panel data from 16 core cities in the Yangtze River Delta in China from 2005 to 2017. The
results indicate that (1) at present, the air pollution in the Yangtze River Delta core urban agglomeration is still relatively
prominent and has obvious spatial aggregation phenomena, and the particulate matter 2.5 (PM
2.5
) concentration shows the
characteristic of decreasing gradually from northwest to southeast; (2) air pollution is the main factor that promotes the increase
in residentshealth expenditure; (3) the spatial spillover effect of air pollution is obvious, accounting for half of the total effect;
and (4) the impact of government public services on residentshealth expenditure varies. Finally, this paper proposes corre-
sponding policy implications based on the findings.
Keywords Air pollution .Health expenditure .Spatial panel model .Yangtze River Delta
Introduction
Improving the quality of the air environment and the health
level of the people to alleviate the burden of medical expenses
on residents is a proposition put forward by major national
strategies in China, such as ecological civilization construc-
tion and healthy China. Air pollution has become the greatest
adverse environmental factor causing premature human death
(Zhou et al. 2019). The main pollutants considered by envi-
ronmental protection departments in China to evaluate and
rank the air quality of cities are sulfur dioxide (SO
2
), nitrogen
dioxide (NO
2
), inhalable particulate matter (PM
10
), particulate
matter (PM
2.5
), carbon monoxide (CO), and ozone (O
3
).
Atmospheric particulate matter (PM), especially with a diam-
eter less than 2.5 μm(PM
2.5
), is considered one of the priority
pollutants in the atmosphere. PM
2.5
is rich in a large number
of toxic and harmful substances and easily enters the blood
through the lungs; thus, frequent exposure to PM
2.5
can cause
damage to human health.
According to the most recent Global Burden of Disease
Reportreleased by The Lancet magazine in 2019, China and
India are the countries with the highest disease burden of air
pollution in the world. In recent years, Chinas per capita
health care expenditure has increased significantly not only
in absolute terms but also in proportion to disposable income.
According to the National Bureau of Statistics, from 1990 to
2019, Chinas urban residentsper capita health care expen-
diture increased from 25.67 CNY to 2283 CNY, accounting
for 1.85 to 5.39% of per capita disposable income. A large
number of studies have shown that air pollution has adverse
effects on multiple systems of the human body and directly or
indirectly causes damage to residents' health, leading to an
increase or aggravation of disease symptoms (Garcia et al.
2015;Toetal.2015), an increase in the number of outpatient
Electronic supplementary material The online version of this article
(https://doi.org/10.1007/s11869-020-00939-y) contains supplementary
material, which is available to authorized users.
*Zhihui Leng
zhihui_leng@163.com
Han Sun
sunhan2004@126.com
1
School of Economics and Management, China University of
Geosciences (Wuhan), Wuhan 430074, China
2
Resource and Environmental Economics Research Center, China
University of Geosciences (Wuhan), Wuhan 430074, China
https://doi.org/10.1007/s11869-020-00939-y
/ Published online: 12 September 2020
Air Quality, Atmosphere & Health (2021) 14:343–350
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... Moreover, based on the perspective of collaborative governance, more government health expenditure should be used for health policies dealing with the corresponding health problems caused by environmental pollution. As for the impact of air pollution on health expenditure, scholars have found that the spillover effect is as much as half of the total effect, suggesting that greater attention should be paid to the spatial correlation between adjacent regions [2,29]. As Chen has indicated, if industrial sulfur dioxide emissions in a city increase by 10,000 tons, the mortality rates from lung cancer and respiratory diseases will grow by 0.217 and 1.543 per ten thousand persons, respectively, in neighbouring areas . ...
... To improve the cost-effectiveness ratio of government health expenditure, different measures need to be taken for different characteristics (according to the city), rather than a large number of expenses that are repeatedly incurred to make up for the adverse health outcomes caused by air pollution. First of all, for cities whose government health expenditure is only restricted by air pollution, the existing literature has proven that the air pollution in this area is a serious concern and that there is spatial spillover effect [29], which may be related to the industrial belt located throughout the region. Although industrial agglomeration areas provide employment opportunities for residents and promote the development of the local economy, it is evident that it also increases the burdens related to health expenditure for local governments. ...
Article
Full-text available
Background As the fifth-largest global mortality risk factor, air pollution has caused nearly one-tenth of the world’s deaths, with a death toll of 5 million. 21% of China’s disease burden was related to environmental pollution, which is 8% higher than the US. Air pollution will increase the demand and utilisation of Chinese residents’ health services, thereby placing a greater economic burden on the government. This study reveals the spatial impact of socioeconomic, health, policy and population factors combined with environmental factors on government health expenditure. Methods Spearman’s correlation coefficient and GeoDetector were used to identify the determinants of government health expenditure. The GeoDetector consist of four detectors: factor detection, interaction detection, risk detection, and ecological detection. One hundred sixty-nine prefecture-level cities in China are studied. The data sources are the 2017 data from China’s Economic and Social Big Data Research Platform and WorldPOP gridded population datasets. Results It is found that industrial sulfur dioxide attributed to government health expenditure, whose q value (explanatory power of X to Y) is 0.5283. The interaction between air pollution factors and other factors will increase the impact on government health expenditure, the interaction value (explanatory power of × 1∩× 2 to Y) of GDP and industrial sulfur dioxide the largest, whose values is 0.9593. There are 96 simple high-risk areas in these 169 areas, but there are still high-risk areas affected by multiple factors. Conclusion First, multiple factors influence the spatial heterogeneity of government health expenditure. Second, health and socio-economic factors are still the dominant factors leading to increased government health expenditure. Third, air pollution does have an important impact on government health expenditure. As a catalytic factor, combining with other factors, it will strengthen their impact on government health expenditure. Finally, an integrated approach should be adopted to synergisticly governance the high-risk areas with multi-risk factors.
... Sun et al. demonstrated that air pollution is also the main factor that influences residents' expenditures on health management [37]. Theoretically, air pollution affects health mainly in two ways: first, the reduction in sleep time caused by ambient air pollution is not conducive to health; second, people spend more time on sedentary activities to avoid exposure to air pollution, which will indirectly lead to an increase in personal medical expenditure [38]. Additionally, from the empirical results, air pollution will lead to a significant increase in medical expenses, hospitalization expenses and extrabudgetary expenses [38]. ...
... Theoretically, air pollution affects health mainly in two ways: first, the reduction in sleep time caused by ambient air pollution is not conducive to health; second, people spend more time on sedentary activities to avoid exposure to air pollution, which will indirectly lead to an increase in personal medical expenditure [38]. Additionally, from the empirical results, air pollution will lead to a significant increase in medical expenses, hospitalization expenses and extrabudgetary expenses [38]. For example, Liu et al. estimated age-and cause-specific premature deaths and quantified related health damage with the measurement of the age-adjusted value of statistical life (VSL). ...
Article
Full-text available
Background Current research on activities of daily living (ADLs) disability has mostly focused on the analysis of demographic characteristics, while research on the microcharacteristics of individuals and the macroenvironment is relatively limited, and these studies solely concern the impact of air quality on individual health. Methods This study innovatively investigated the impact of air quality on ADL disability by matching micro data of individuals from the China Health and Retirement Longitudinal Study with data of urban environmental quality from 122 cities. In this study, an ordered panel logit model was adopted for the benchmark test, and the two-stage ordered probit model with IV was used for endogenous treatment. Results This innovative study investigated the impact of air quality on ADL disability by matching individual micro data from the China Health and Retirement Longitudinal Study with urban environmental quality data for 122 cities. The results showed that air quality significantly increased the probability of ADL disability. The positive and marginal effect of air quality on moderate and mild disability was higher. Generally, the marginal effect of air quality on residents’ health was negative. In terms of group heterogeneity, the ADL disability of individuals aged over 60 years, those in the high Gross Domestic Product (GDP) group, females, and those in the nonpilot long-term care insurance group was more affected by air quality, and the interaction between air quality and serious illness showed that the deterioration of air quality exacerbated the ADL disability caused by serious illness; that is, the moderating effect was significant. Conclusions According to the equilibrium condition of the individual health production function, the ADL disability caused by a 1% improvement in air quality is equivalent to the ADL disability caused by an 89.9652% reduction in serious illness, indicating that the effect of improved air quality is difficult to replace by any other method. Therefore, good air quality can not only reduce ADL disability directly but also reduce serious illness indirectly, which is equivalent to the reduction of ADL disability. This is called the health impact.
... It is evident to find that the coefficient values of lnPM 2.5 and W*lnPM 2.5 are both negative, and the coefficient value of W*lnPM 2.5 is greater than that of lnPM 2.5 , which is consistent with the above conclusions. It is worth noting that previous literature studies have also reached similar conclusions, namely, that residents in surrounding areas have significantly higher lung cancer mortality and respiratory disease mortality than local residents, and that residents in surrounding areas also spend significantly more on medical and health expenses than local residents (Chen et al., 2017;Feng et al., 2019;Sun et al., 2021). This finding suggests that the results of previous literature studies are consistent with the findings of this paper. ...
Article
Full-text available
Regional haze pollution is a serious atmospheric environmental problem in China, it seriously affects residents’ health. This paper uses ArcGIS software to analyse the spatial and temporal distribution maps of haze pollution and residents’ health in China, and empirically examines the spatial non-linear effects of haze pollution on residents’ health by using spatial econometric models and threshold models. The results are shown as follows: First, the level of haze pollution in China is gradually decreasing, and the level of residents’ health is gradually improving. It is worth noting that the areas with high level of haze pollution are mainly located on the southeast side of the Hu line. Coincidentally, the areas with high level of residents’ health are also mainly located in the southeast side of the Hu line. Second, haze pollution has significant spatial spillover effect on residents’ health, with inter-regional spillover effect being much greater than intra-regional spillover effect. Third, economic development increases the health risk from haze pollution, while environmental regulation does not reduce the health risk from haze pollution. The effect of population agglomeration on the health risk from haze pollution shows a trend of improvement followed by deterioration, while the effect of industrial agglomeration on the health risk from haze pollution shows a trend of deterioration followed by improvement. Therefore, this paper provides valuable insights for the ongoing and comprehensive efforts to fight for a blue sky and promote the implementation of the national strategies of “Beautiful China” and “Healthy China”.
... On the one hand, some scholars studied the relationship between air pollution and population migration. They found that when there is a localized deterioration in air quality, residents will pay more attention to air pollution (Chen et al. 2020b;Ji et al. 2022), and then they have a stronger willingness to migrate (Zhao et al. 2021b), so as to reduce economic losses from air pollution (Chen and Chen 2021;Sun et al. 2021), and avoid health damage (Gao et al. 2022;Schraufnagel et al. 2019). As indicated in some literature, with the increasing frequency of Internet searches on migration (Pinchas-Mizrachi et al. 2020), people eventually shift from a willingness to migrate to an active flight (Guo et al. 2022) and often to more environmentally friendly regions (Chen et al. 2022). ...
Article
Full-text available
At present, air pollution remains a serious environmental issue with extensive attention in China. It may not only cause population outflow but also poses significant threats to residents’ health. Therefore, it has become an imperative initiative to explore the impact of air pollution on the residents’ health. In this paper, we map the spatial distribution of air pollution, population migration, and residents’ health between 2010 and 2020 based on panel data from 31 Chinese provinces. Theoretical analysis and empirical tests are then carried out to investigate the intrinsic logical relationships between the three. The research findings demonstrate the following: (1) Air pollution not only has a direct negative impact on residents’ health, but it also has an indirect impact on residents’ health through the mediating effect of population migration. (2) Air pollution has a significant negative spatial spillover effect on residents’ health, and neighboring residents are at greater health risk of being exposed to air pollution than local residents. (3) Economic development, environmental regulation, and their interaction term exhibit a single threshold effect on the health risk of air pollution. (4) From the perspective of regional heterogeneity, we find that the health risk of air pollution is greater in northern China and the southeast of the Hu Line. This paper provides valuable insights for promoting the implementation of the grand strategies of “Beautiful China” and “Healthy China.”
... Coal combustion is accompanied by significant emissions of particulate matter, sulfur dioxide, and nitrogen oxides into the atmosphere. High concentrations of these substances in the atmosphere are associated with adverse effects on human health [6][7][8]. A ban on the sale of coal in cities leads to a significant reduction in the concentration of smoke in the air, resulting in a sharp decline in mortality from respiratory and cardiovascular disease [9,10]. ...
Article
Full-text available
The energy sector is one of the most important pollutants in the atmosphere and causes significant emissions of greenhouse gases. In Russia, coal is the main contributor to the fossil fuel consumption of thermal power plants and boilers, thus affecting atmospheric air pollution by releasing particulate matter and nitrogen oxides, which are strongly associated with a negative impact on human health. This problem is especially acute for the resource regions of Yenisei, Siberia, a 2.5+ mln sq km macro-region in the very heart of Russia. In this paper, we analyze the impact of the structure of electricity and heat generation on emissions of pollutants and climate-active gases in Yenisei, Siberia, and give an overview of their social, ecological, and economic effects. More than 75% of electricity in Yenisei, Siberia, is produced by hydroelectric power plants that do not pollute the atmosphere. The rest of the electricity is generated in the cogeneration mode by thermal power plants, which are cores of the heat supply designs of cities. The share of individual coal-powered heat sources is still high. A detailed analysis of existing equipment and technologies at existing thermal power plants is needed to select options for their modernization to reduce emissions while keeping coal in use. Our calculations for the biggest cities of Krasnoyarsk Krai show that investments in the transition to heating with pellets will require RUB 184.7 million for Nazarovo and RUB 313.9 million for Kansk. At the same time, switching to electric heating is more than twice as expensive: RUB 498.6 million for Nazarovo and RUB 847.5 million for Kansk. The additional costs will range from RUB 21 to RUB 45.4 thousand per household per year for the pellet variant and from RUB 56.8 to RUB 122.5 thousand per year for electric heating, which could triple the annual heating costs. Thus, these options are unlikely to be implemented without direct state support. We argue that creating an attractive living environment in Yenisei, Siberia, must begin with intensive public investment in mitigating the environmental externalities caused by coal emissions.
... In addition, we consider air quality as another mediating factor. Sun, et al. [87] reported that air pollution is the main factor that promotes the increase in residents' health expenditures. Das and Ivaldi [88] similarly pointed to environmental pollution, including air pollution, as a cause of health expenditures in many developed countries. ...
Article
Full-text available
The health–beneficial value of urban green spaces (UGS) is increasingly accepted by scholars. However, compared to the large number of studies focused on UGS–health associations, whether UGS in high-density cities could reduce public health expenditures remains less investigated. In particular, few studies have examined the association of UGS quality with health expenditures. Therefore, we conducted a cross-sectional study in downtown Shanghai to examine such associations. A population-based household survey (n = 1000) was conducted to collect relevant information about different aspects of health expenditure and the characteristics of UGS. Specifically, a new method was proposed to measure UGS quality based on the supply–demand of 20 types of UGS activities. We also measured the perceived quality of different types of UGS and quantified the amount of UGS using GIS based on remote sensing data. Regression models were applied for statistical analysis. The results showed that both UGS quality based on user needs and perceived UGS quality have a significant negative association with total health expenditures. This study provides insights for UGS quality measurement, contributes to the understanding of the health-related economic benefits of UGS, and also highlights the importance of UGS optimization in high-density urban areas.
Article
In recent years, the relentless rise in global greenhouse gas (GHG) emissions has escalated climate change. Land‐use changes, particularly those involving wetlands, significantly impact GHG emissions. However, previous studies on land‐use carbon emissions often overlooked the specific contributions of different wetland types. This study aims to assess these differential contributions and explore strategies for managing GHG emissions (SDG 13.2.2) within the United Nation's sustainable development goals. The study used the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta (demonstration area) in China as a case study to accurately classify wetland types from 2016 to 2022. Wetland classification was achieved using Sentinel‐2 remote sensing imagery and parameters such as NDVI and NDWI with the application of machine learning algorithms. To explore effective carbon management strategies, a scenario analysis method was employed to simulate future carbon emission trends under various management measures based on current emission status. The results revealed significant differences in carbon emissions among wetland types. From 2016 to 2022, ponds exhibited the highest total and growth rate of carbon emissions among all wetland types, while paddy fields alone showed a decreasing trend. Through enhanced natural wetland protection, optimized management, and reduced use of chemical fertilizers and pesticides, direct carbon emissions in the demonstration area were reduced by 2.61 × 10 ⁵ t. Accurate wetland classification and differentiated management are crucial for carbon accounting and formulating effective reduction strategies. This study offers new insights into the sustainable development of the Yangtze River Delta.
Article
Full-text available
Background Air pollution has been identified as related to the diseases of susceptible population, but the spatial heterogeneity of its economic burden and its determinants are rarely investigated. The issue is of great policy significance, especially after the epidemic of COVID-19, when human are facing the joint crisis of health and environment, and some areas is prone to falling into poverty. Methods The geographical detector was adopted to study the spatial distribution characteristics of the incidence of catastrophic health expenditure (ICHE) for older adults in 100 rural areas in China at the prefecture-city level. The health factors, sociological factors, policy factors and environmental factors and their interactions are identified. Results First, most health service factors had strong explanatory power for ICHE whether it interacts with air pollution. Second, 50 single-factor high-risk areas of ICHE were found in the study, but at the same time, there were 21 areas dominated by multiple factors. Conclusion The different contributions and synergy among the factors constitute the complex mechanism of factors and catastrophic health expenditure. Moreover, during this process, air pollution aggravates the contribution of health service factors toward ICHE. In addition, the leading factors of ICHE are different among regions. At the end, this paper also puts forward some policy suggestions from the perspective of health and environment crisis in the post-COVID-19 world: environmental protection policies should be combined with the prevention of infectious diseases; advanced health investment is the most cost-effective policy for the inverse health sequences of air pollution and infectious diseases such as coronavirus disease 2019 (COVID-19); integrating environmental protection policy into healthy development policy, different regions take targeted measures to cope with the intertwined crisis.
Article
Full-text available
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.
Article
Full-text available
Ecological environment deterioration caused by air pollution (AP) seriously threatens human life and health, with academic circles focusing on how to improve AP control efficiency, promote regional collaborative regulatory control of AP, and ensure the safety of human life. This research thus uses time-based systematic clustering of cross-sectional data and gray correlation clustering of panel data to analyze AP situations and regional differences (RD) via AP index data of 31 provinces and cities in China from 2014 to 2018. The results show that the air quality of these provinces and cities has improved and that the concentration of pollutants has declined to varying degrees, but AP in Beijing, Tianjin, and other places is still more serious. While the effect of AP improvement in some areas is not distinct, the trend of regional AP continues to be quite serious. This paper reveals current RD of AP in China and offers some suggestions and recommendations on pollution control, such as further optimizing the industrial structure and energy consumption structure and improving people’s concept of ecological civilization.
Article
Full-text available
Introduction Today, air pollution is creating a huge economic burden on communities by causing deaths and various diseases. The present study aimed to systematically review the economic burden of mortality and morbidity of air pollution and the methods for measuring these costs in Tehran, Iran. Method A literature search of online databases (PubMed, Scopus, Web of Sciences, Embase, and Ovid) was searched through August 1, 2019, by using the appropriate English keywords. Also, Iran Medex, Barkat, and Magiran databases were searched for Persian articles. Results Four English and two Persian studies were included in this review. All the articles investigated the economic burden of mortality due to air pollution, in which five, one, and one studies used value of statistical life, compensation payment, and human capital approach. The economic burden of mortality due to air pollution was estimated at 316millionto 316 million to 2630 million. Also, five studies (83%) investigated the economic burden of morbidity due to air pollution, in which three, two, and one studies used the cost of illness, percentage of mortality costs, and willingness to pay methods, respectively. The economic burden of morbidity due to air pollution was estimated at 236millionto 236 million to 546 million. Conclusion By systematically reviewing and emphasizing on different methods of measuring the economic burden of mortality and morbidity caused by air pollution, the results show that air pollution is a serious problem in Tehran. Nevertheless, appropriate methods should be used to measure costs to get robust and reliable results.
Article
Full-text available
This paper introduces several factors, namely, environmental pollution, medical level and environmental governance, into the Grossman’s production function for health. Then, an empirical analysis was conducted based on the 2004–2016 panel data of the city clusters along the middle reaches of the Yangtze River. Through the analysis, the author evaluated and compared how different factors affect the health of residents in the three city clusters: Changsha-Zhuzhou-Xiangtan (CZT) city cluster, Wuhan city cluster and circum-Poyang Lake (CPL) city cluster. The results show that: (1) In all three city clusters, economic growth can effectively improve the health of residents, and environmental pollution is also a key influencing factor of the health of residents. (2) Medical level has a close correlation with the health of residents. In the CZT city cluster, the medical level is positively correlated with the health of residents; in the CPL city cluster, the correlation is negative and takes the shape of an inverted U in the long run. (3) In all three city clusters, the environmental governance has an inverted U-shape correlation with the health of residents, indicating that environmental governance is not enough to promote the health of residents. Finally, several countermeasures were put forward to enhance the health of residents in the study area. The research findings shed new light on policymaking for the health of residents.
Article
Full-text available
By collecting the panel data of 29 regions in China from 2008 to 2017, this study used the spatial Durbin model (SDM) to explore the spatial effect of PM2.5 exposure on the health burden of residents. The most obvious findings to emerge from this study are that: health burden and PM2.5 exposure are not randomly distributed over different regions in China, but have obvious spatial correlation and spatial clustering characteristics. The maximum PM2.5 concentrations have a significant positive effect on outpatient expense and outpatient visits of residents in the current period, and the impact of PM2.5 pollution has a significant temporal lag effect on residents’ health burden. PM2.5 exposure has a spatial spillover effect on the health burden of residents, and the PM2.5 concentrations in the surrounding regions or geographically close regions have a positive influence on the health burden in the particular region. The impact of PM2.5 exposure is divided into the direct effect and the indirect effect (the spatial spillover effect), and the spatial spillover effect is greater than that of the direct effect. Therefore, we conclude that PM2.5 exposure has a spatial spillover effect and temporal lag effect on the health burden of residents, and strict regulatory policies are needed to mitigate the health burden caused by air pollution.
Article
Full-text available
One sixth of all deaths related to air pollution in the world take place in Europe. This sadly impressive number is still worse if we consider that most deaths occur in rich countries like Germany, Italy, UK and France. The adverse effects of air pollution in human health are known for decades and the main sources of air pollution are widely recognized. However, most European countries have failed to face this issue properly. The extensive use of diesel in Europe has made a major contribution to this scenario. In addition, many European countries still make a significant use of coal for electricity generation. Fortunately, the Volkswagen emission scandal may have served to speed up changes in vehicles fuel use, since some cities and even countries are planning to ban diesel in a few years. Banning coal, on the other hand, may take longer. Despite many advances in the use of alternative energy sources, some European countries are still highly dependent on coal for energy generation. A faster move is required to improve air quality and avoid deaths associated to air pollution.
Article
Full-text available
Industrial development has brought about not only rapid economic growth, but also serious environmental pollution in China, which has led to serious health problems and heavy economic burdens on healthcare. Therefore, the relationship between the industrial air pollution and health care expenditure (HCE) has attracted the attention of researchers, most of which used the traditional empirical methods, such as ordinary least squares (OLS), logistic and so on. By collecting the panel data of 30 provinces of China during 2005–2016, this paper attempts to use the Bayesian quantile regression (BQR) to reveal the impact of industrial air pollution represented by industrial waste gas emission (IWGE) on HCE in high-, middle-, low-income regions. It was found that double heterogeneity in the influence of IWGE on HCE was obvious, which revealed that people in high-, middle-, low-income regions have significantly different understandings of environmental pollution and health problems. In addition, the BQR method provided more information than the traditional empirical methods, which verified that the BQR method, as a new empirical method for previous studies, was applicable in this topic and expanded the discussion space of this research field.
Article
Urban green spaces provide multiple ecosystem services to city residents and are considered an important element of socio-environmental justice. For older people, urban green spaces are important for health and well-being because they provide spaces for physical activity and social interaction. They can be regarded as spaces of encounter. Drawing on a comprehensive dataset of park visitation patterns, demographic characteristics and social network patterns, we explore older people’s urban green space visitation patterns for the case of Berlin (Germany). We found that older people who have close social networks use urban parks more often than those who are more isolated in their daily lives. Self-estimated good health also contributes to more frequent park use. We discuss these findings along the three dimensions of socio-environmental justice: distributive, interactional and procedural. Based on our findings, we develop a framework that calls for an integrated view of these three justice dimensions, which all contribute equally and inseparably to a just provision of urban ecosystem services. Most importantly, we recommend urban planning to understand the city as an integrated socio-ecological system in which the planning and design of urban green spaces focus on providing ecosystem services together with enabling the creation of social networks in order to increase socio-environmental justice.
Article
Pollution-intensive industrial agglomeration has become a trend of industrial distribution in China. Does pollution-intensive industrial agglomeration significantly increase residents’ health expenditure? By clarifying the environmental effect, economic effect and public service effect of pollution-intensive industrial agglomeration on residents’ health expenditure, this paper combined with provincial data to prove the environmental effect, economic effect and public service effect. The results show that: (1) Every 1 % increase in pollution-intensive industries will reduce rural residents’ health expenditure by 1.1844 % and increase the health expenditure of urban residents by 1.206 %. (2) The pollution-intensive industrial agglomeration increases the health expenditure by expanding the scale of pollution, reduces the health expenditure by promoting the technological innovation. (3) Pollution-intensive industrial agglomeration increases the health expenditure by enhancing residents’ income and reduces the health expenditure by enhancing employment rate. (4) Pollution-intensive industrial agglomeration increases the health expenditure by improving medical services and reduces the residents’ health expenditure by promoting the construction of environmental infrastructure. (5) There are a single threshold and a double threshold effects of pollution-intensive industrial agglomeration on health expenditure of rural residents and urban residents, respectively. When the location entropy is higher than 0.4669, the pollution-intensive industrial agglomeration can reduce residents’ health expenditure. When the location entropy is less than 0.9861 or greater than 1.027, the pollution-intensive industrial agglomeration increases urban residents’ health expenditure. The conclusion of this paper is of great significance in adjusting the distribution of pollution-intensive industries and increasing the health expenditure of residents.
Article
Based on analysis of the theoretical impact of energy consumption on air quality, taking 20 heavily polluted cities in the Yangtze River Delta of China as the object, we construct a Spatial Dubin Model, and estimate the effect of energy consumption on air quality and the spatial spillover effects of air pollution. We come to the following conclusions: First, the regional air quality has significant spatial dependence and spatial heterogeneity. Second, under three kinds of spatial associated mode, energy consumption has a negative impact on air quality, and the air pollution arising from energy consumption has a negative intra-regional spillover effect. The effect is strongest under the spatial distance weight matrix, followed by the economic distance, and the adjacent spatial weight matrix, which are −0.7926, −0.4547, and −0.4539, respectively. Third, in addition, under the adjacent space and economic distance space matrix, energy consumption has a significant negative effect on air quality, and the inter-regional spillover effects are −0.1513 and −2.5736, respectively. Meanwhile, considering spatial distance and economic development, the inter-regional spillover effect is much larger than is the intra-regional spillover effect. In general, the total spillover effect is at −0.6053 and −3.0284.