scholarly journals Air Pollution and Health Studies in China—Policy Implications

2011 ◽  
Vol 61 (11) ◽  
pp. 1292-1299 ◽  
Author(s):  
Bingheng Chen ◽  
Haidong Kan ◽  
Renjie Chen ◽  
Songhui Jiang ◽  
Chuanjie Hong
Data ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 39
Author(s):  
Quan-Hoang Vuong ◽  
Tri Vu Phu ◽  
Tuyet-Anh T. Le ◽  
Quy Van Khuc

Solutions for mitigating and reducing environmental pollution are important priorities for many developed and developing countries. This study was conducted to better understand the degree to which inner-city citizens and foreigners perceive air pollution and respond to it, particularly how much they willingly contribute to improving air quality in Vietnam, a lower-middle-income nation in Southeast Asia. During mid-December 2019, a stratified random sampling technique and a contingent valuation method (CVM) were employed to survey 199 inhabitants and 75 foreigners who reside and travel within the inner-city of Hanoi. The data comprises four major groups of information on: (1) perception of air pollution and its impacts, (2) preventive measures used to mitigate polluted air, (3) commitments on willingness-to-pay (WTP) for reducing air pollution alongside reasons for the yes-or-no-WTP decision, and (4) demographic information of interviewees. The findings and data of this study could offer many policy implications for better environmental management in the study area and beyond.


2015 ◽  
Vol 8 (8) ◽  
Author(s):  
Keyu Lu ◽  
Noriko Nozaki ◽  
Takeshi Mizunoya ◽  
Helmut Yabar ◽  
Yoshiro Higano

2021 ◽  
Author(s):  
Corinna Peters

This study assesses changes in mobility behaviour in the City of Barcelona due the COVID‐19pandemic and its impact on air pollution and GHG emissions. Urban transport is an important sourceof global greenhouse gas (GHG) emissions. Improving urban mobility patterns is therefore crucial formitigating climate change. This study combines quantitative survey data and official governmentdata with in‐depth interviews with public administration officials of the City. Data illustrates thatBarcelona has experienced an unprecedented reduction in mobility during the lockdown (a 90%drop) and mobility remained at comparatively low levels throughout the year 2020. Most remarkableis the decrease in the use of public transport in 2020 compared to pre‐pandemic levels, whereas roadtraffic has decreased to a lesser extent and cycling surged at times to levels up to 60% higher thanpre‐pandemic levels. These changes in mobility have led to a radical and historic reduction in airpollution, with NO2 and PM10 concentration complying with WHO guidelines in 2020. Reductions inGHG emissions for Barcelona’s transport sector are estimated at almost 250.000 t CO2eq in 2020 (7%of the City’s overall annual emissions). The study derives policy implications aimed at achieving along‐term shift towards climate‐friendlier, low‐emission transport in Barcelona, namely how torecover lost demand in public transport and seize the opportunity that the crisis brings for reform byfurther reducing road traffic and establishing a 'cycling culture' in Barcelona, as already achieved inother European cities.


Author(s):  
Chengming Li ◽  
Kuo Zhang ◽  
Zhaoxin Dai ◽  
Zhaoting Ma ◽  
Xiaoli Liu

As air pollution becomes highly focused in China, the accurate identification of its influencing factors is critical for achieving effective control and targeted environmental governance. Land-use distribution is one of the key factors affecting air quality, and research on the impact of land-use distribution on air pollution has drawn wide attention. However, considerable studies have mostly used linear regression models, which fail to capture the nonlinear effects of land-use distribution on PM2.5 (fine particulate matter with a diameter less than or equal to 2.5 microns) and to show how impacts on PM2.5 vary with land-use magnitudes. In addition, related studies have generally focused on annual analyses, ignoring the seasonal variability of the impact of land-use distribution on PM2.5, thus leading to possible estimation biases for PM2.5. This study was designed to address these issues and assess the impacts of land-use distribution on PM2.5 in Weifang, China. A machine learning statistical model, the boosted regression tree (BRT), was applied to measure nonlinear effects of land-use distribution on PM2.5, capture how land-use magnitude impacts PM2.5 across different seasons, and explore the policy implications for urban planning. The main conclusions are that the air quality will significantly improve with an increase in grassland and forest area, especially below 8% and 20%, respectively. When the distribution of construction land is greater than around 10%, the PM2.5 pollution can be seriously substantially increased with the increment of their areas. The impact of gardens and farmland presents seasonal characteristics. It is noted that as the weather becomes colder, the inhibitory effect of vegetation distribution on the PM2.5 concentration gradually decreases, while the positive impacts of artificial surface distributions, such as construction land and roads, are aggravated because leaves drop off in autumn (September–November) and winter (December–February). According to the findings of this study, it is recommended that Weifang should strengthen pollution control in winter, for instance, expand the coverage areas of evergreen vegetation like Pinus bungeana Zucc. and Euonymus japonicus Thunb, and increase the width and numbers of branches connecting different main roads. The findings also provide quantitative and optimal land-use planning and strategies to minimize PM2.5 pollution, referring to the status of regional urbanization and greening construction.


2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Kumar Ashwani ◽  
Paul Kalosona

Indoor Air Pollution (IAP) has become a major concern in India in recent years because women and young children are highly exposed to smoke of various types of unclean fuels used for cooking and heating in the household result into risk of respiratory disorders among them. The paper aims to seek association between prevalence of acute respiratory infection (ARI) among children less than five years of age and use of cooking fuels in households of India. The analysis is based on 52,868 Children less than five years of age included in India's third National Family Health Survey conducted in 2005-2006. Effects of exposure to cooking smoke, determined by the type of fuel used for cooking such as biomass and solid fuels versus cleaner fuels, on the reported prevalence of ARI were estimated using multivariate logistic regression. Since the effects of cooking smoke are likely to be confounded with effects of tobacco smoking, age, and other such factors, the analysis was carried out after statistically controlling for such factors. The results indicate that Children under five years of age living in households using biomass and solid fuels have a significantly higher risk of ARI than those living in households using cleaner fuels (OR: 1.54; 95%CI: 1.38-1.72; p = .010). The findings have important program and policy implications for countries such as India, where large proportions of the population still rely on polluting biomass fuels for cooking and heating. Decreasing household biomass and solid fuel use and increasing use of improved stove technology may decrease the health effects of indoor air pollution. More epidemiological research with better measures of smoke exposure and clinical measures of ARI is needed to validate the findings.


2015 ◽  
Vol 9 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Yan Luo ◽  
Xiaolin Qian ◽  
Jinjuan Ren

Purpose – The purpose of this study is to investigate the impact of firms’ financing activities on the environment. Faced with a deteriorating global environment, both corporations and regulatory bodies have become more responsive to environmental conservation problems. However, existing literature has not adequately addressed the question of whether and how firms’ business activities influence the environment. Design/methodology/approach – Using the daily air pollution indices of 120 Chinese cities from 2001 to 2012, this study found that air pollution is alleviated after firms’ initial public offerings (IPOs). This paper proposes that firms’ IPOs influence the ambient air pollution through three channels: production scale, technical reform and corporate governance effects. Findings – The authors of this study found that the proceeds acquired in IPOs result in enlarged production scales that increase pollution, while the investment of these proceeds in social responsibility-related technical reform and enhanced corporate governance reduce pollution. Moreover, the authors discover that firms with a higher state ownership emit fewer pollutants, thus supporting the positive monitoring role of the Chinese government. Originality/value – Although this study investigates the impact of IPOs on air quality in China, the proposed analytical framework also applies to studies of other financing activities in global markets. This study has important policy implications for government regulations in environmental controls.


Sign in / Sign up

Export Citation Format

Share Document