Inequality of household consumption and PM2.5 footprint across socioeconomic groups in China

The United Nations Sustainable Development Goals have highlighted the challenge posed by increasing air pollution. This study allocates PM2.5 footprint to household consumption expenditure based on multi-regional input-output model and survey data collected from 30 thousand households. The household indirect PM2.5 footprint related to spending on food, hospital, electricity, and education rank as the top four items, plus direct PM2.5 emissions, which in combination contribute more than 55% of total air pollution. Compared with the poor, the responsibilities for air pollution on the wealthy are more sensitive to changes in income, especially for high-end consumption categories, such as luxury goods and services, education and healthcare. Further, the wealthiest 20% of households cause 1.5 times PM2.5 footprint per capita than exposure to PM2.5 emissions. The high-footprint household samples are concentrated in high-exposure areas. It is recommended that mitigation policies address inequality of PM2.5 footprint by targeting the top 20% footprint groups with tags of wealthy, urban resident, well-educated, small family, and apartment living.

Long-Term Change Analysis of PM2.5 and Ozone Pollution in China’s Most Polluted Region during 2015–2020

In this study, a time change analysis of fine particulate (PM2.5) emission in multi-resolution emission inventory in China (MEIC) from 2013 to 2016 was conducted. It was found that PM2.5 emissions showed a decreasing trend year by year, and that the annual total emission of PM2.5 decreased by 28.5% in 2016 compared with that of 2013. When comparing the observation data of PM2.5 and ozone (O3), it was found that both PM2.5 and O3 show obvious seasonal changes. The emission of PM2.5 in autumn and winter is higher than that in summer, while that of O3 is not. Our study showed that in the 2015–2020 period, annual mean concentrations of PM2.5 and O3 in Beijing varied from 80.87 to 38.31 μg m-3 and 110.75 to 106.18 μg m-3, respectively. Since 2015, the observed value of PM2.5 has shown an obvious downward trend. Compared with 2015, the average annual PM2.5 concentrations in Beijing, Shanghai, Xuzhou, Zhengzhou, and Hefei in 2020 had decreased by 52.62%, 40.35%, 22.2%, 46.84%, and 45.11%, respectively, while O3 showed an upward trend. Compared with the annual averages of 2015 and 2020, Beijing and Shanghai saw a decrease of 4.13% and 8.46%, respectively, while Xuzhou, Zhengzhou, and Hefei saw an increase of 7.08%, 19.46%, and 41.57%, respectively. The comparison shows that PM2.5 is becoming less threatening in China and that ozone is becoming more difficult to control. Air pollution is a modifiable risk factor. Appropriate sustainable control policies are recommended to protect public health.

Electrification of Road Transport and the Impacts on Air Quality and Health in the UK

Currently, many cities in Europe are affected by concentrations of PM2.5 and NO2 above the WHO guidelines on the protection of human health. This is a global problem in which the growth of road transport constitutes a major factor. Looking to the future, electric vehicles (EVs) are considered to be the choice technology for reducing road transport greenhouse gas emissions, but their impact on air quality needs to be considered. Taking the UK as a case study, this paper begins by understanding the trajectory of a future scenario without the introduction of EVs, reflecting on the latest emission control improvements in internal combustion engine vehicles (ICEVs). This is then compared to a 2050 scenario in which the introduction of EVs, based on the UK government’s Transport Decarbonisation Plan, is reviewed. This plan includes a ban on the sale of ICEV cars and LGVs, beginning in 2030, with the subsequent electrification of heavier vehicles. By 2030, population exposure to NOx was found to be significantly reduced in the ICEV scenario, with a marginal further reduction found for the EV scenario. The EV scenario further reduced NOx exposure by 2050, with most of the benefits being realized before 2040. For the ICEV and EV scenario, PM2.5 emissions were largely unchanged due to the primary contribution of non-exhaust emissions, suggesting that EVs are likely to yield relatively smaller changes in exposure to PM2.5 than for NOx.

Cordon Pricing, Daily Activity Pattern, and Exposure to Traffic-Related Air Pollution: A Case Study of New York City

Road pricing is advocated as an effective travel demand management strategy to alleviate traffic congestion and improve environmental conditions. This paper analyzes the impacts of cordon pricing on the population’s daily activity pattern and their exposure to particulate matter by integrating activity-based models with air quality and exposure models in the case of New York City. To estimate changes in public exposure under cordon pricing scenarios, we take a sample of employees and study their mobility behavior during the day, which is mainly attributed to the location of the work and the time spent at work. The selection of employees and their exposure during the duration of their work is due to the unavailability of exact activity patterns for each individual. We show that the Central Business District (CBD) experiences a high concentration of PM2.5 emissions. Results indicate that implementing cordon pricing scenarios can reduce the population-weighted mean of exposure to PM2.5 emissions by 7% to 13% for our sample and, in particular, by 22% to 28% for those who work in the CBD. Furthermore, using an experimental model and assuming constant conditions, we point out the positive influence on indoor exposure for two locations inside and outside the CBD in response to cordon pricing. Considering the correlation between long-term exposure to fine particulate matter and the risks of developing cardiovascular disease and lung cancer, our findings suggest that improved public health conditions could be provided by implementing cordon pricing in the New York City CBD.

Analyzing the Effectiveness of Environmental Policies to Reduce Citizens’ Exposure to Air Pollution

Exposure to air pollution causes significant damage to health, which leads to large economic and social welfare losses. As a result, the urgency of reducing PM2.5 levels, the main indicator of citizens’ exposure to air pollution, is gaining importance. PM2.5 is a mixture of solid and liquid particles, smaller than 2.5 micrometers, that are suspended in the air. Most literature on the analysis of environmental policies is measured exclusively in CO2 targets, excluding other measurements of air pollution, and failing to analyze the effectiveness of those policies in terms of citizen exposure to air pollution. This paper reviews relevant literature and offers approaches to reducing citizens’ exposure to air pollution by comparing an Ordinary Least Square (OLS) analysis on the effectiveness of environmental policies to reduce PM2.5 emissions in thirty-three OECD countries between 1990 and 2012, grouped into R&D investment policies, economic incentive policies, and fiscal policies. Moreover, this article presents evidence that not all environmental policies are equally effective at minimizing PM2.5 and highlights successful innovation and economic incentive policies that create opportunities to invest or develop alternative forms of production. In summary, state investment policies in R&D show positive but limited results, university-industry research partnerships show highly positive indirect effects on PM2.5 levels; fiscal policies have counterproductive effects, and among economic incentive policies, only feed-in tariffs present an actual opportunity to reduce PM2.5 emissions. The empirical discoveries presented here diversify the research on environmental policies and have profound political implications. Therefore, this study provides a useful tool for environmental policymakers that aim to cut air pollution levels and reduce the human, social and economic consequences.