Reduce Air Pollutant Emissions Research Articles

Quantifying Socio-Regional Variability via Factor Analysis over China: Optimizing Residential Sector Emission Reduction Pathways

Policy synergy, the evidence-based coordination of public policies, can aid in more rapidly achieving air pollutant and carbon dioxide (CO2) emission reduction targets. Using logarithmic mean Divisia index (LMDI) decomposition, coupling coordination degree (CCD), and geographically and temporally weighted regression (GTWR) models, we analyzed the emission characteristics, drivers, and reduction pathways of residential air pollution across 30 Chinese provinces from 2001 to 2020. The southern provinces produced more air pollution than the northern provinces, with the gap widening after 2015. In the residential sector, energy emission factors (LMDI decomposition result, 686,681.9) and population size (14,331) had greater impacts on air pollutant emissions than the energy structure, energy intensity, synergies, or GDP per capita. The GTWR analysis of the CCD mechanism indicated that hydroelectricity and urbanization enhanced coupling coordination in the southeast. Meanwhile, in the west, coupling coordination was improved by R&D investment, government spending on industrial pollution control, electricity consumption, per capita cropland, temperature, and urbanization. This analysis provides a valuable reference for optimizing emission reduction strategies.

Air pollution reduction co-benefits associated with low-carbon transport initiatives for carbon neutrality in China by 2060

Low-carbon transport policy measures will contribute to greenhouse gas emission reductions, as well as improvements in air quality via air pollutant emission reductions. Here, we developed a regional transport energy model by integrating a transport demand model and an energy system model to explore the associated air pollutant emission reductions achieved by low-carbon transport initiatives when projecting a path towards carbon neutrality. Several scenarios were created to identify the effectiveness and feasibility of low-carbon strategies using the Avoid–Shift–Improve (A-S-I) framework including “Technology”, “Regulation”, “Information”, and “Economy” instruments. Significant reductions in air pollutant emissions alongside transport decarbonization in China could be realized by implementing policy measures to establish effective transport demand management, a modal shift in transport use, and technological improvements. In particular, the “Improve” strategy was more effective in delivering significant reductions in air pollutant emissions than were the “Avoid” and “Shift” strategies, but the policy effects of each A-S-I pillar varied greatly for different pollutants and across different regions. An air pollution reduction strategy for the transport sector should be designed in an integrated manner based on a series of different strategies and tools.

Co-benefits in carbon reduction from freight mode shifts under China’s ‘Clean Air Action’

Abstract China’s air pollution mitigation policy promotes the shift of bulk cargo transportation from roadways to railways and waterways, which might also influence carbon emissions. In this study, we developed a novel emissions assessment framework encompassing three truck types, rail, and waterways at the provincial level. Using counterfactual scenarios during the ‘Clean Air Action’ (2013–2020), we quantitatively examined the co-benefits of freight mode shifts on mitigating CO2 and air pollutant emissions. Our findings indicate that nearly 6.4 Mt of CO2 emissions in the freight sector, equivalent to 2.4% of the total anthropogenic emissions (266.8 Mt, 95% CI: 192.1-320.0) in 2020, are avoided in China. Medium-duty and heavy-duty trucks contribute the most to this reduction over different phases. Rail transportation acted as the most effective mode for simultaneous emissions mitigation. However, while co-reductions are observed in HC (hydrocarbon, 3.9 Kt), CO (carbon monoxide, 83.6 Kt), and NO x (nitrogen oxides, 158.6 Kt) emissions, PM2.5 (particulate matter with an aerodynamic diameter ⩽2.5 μm) emissions increased slightly due to increased share of the waterway freight. More than 80% of provinces in China benefited from freight mode shifts in carbon reductions during the second phase (2017–2020) due to the ambitious goals. To enhance freight mode shifts’ co-benefit, attention should emphasize controlling waterway emissions, expanding railway capacity, and optimizing energy structures. These strategies will amplify policy impact on reducing air pollutant emissions from freight transport and contribute to China’s journey towards carbon neutrality.

Health and air pollutant emission impacts of net zero CO2 by 2050 scenarios from the energy modeling forum 37 study

Carbon dioxide and non-greenhouse gas air pollutants are emitted from many of the same sources. Decarbonization actions thus typically yield air pollutant emission reductions, resulting in significant air quality benefits. Although several studies have highlighted this connection, including in the context of net zero carbon emission targets, substantial uncertainty remains regarding how alternative technological pathways to this goal will affect the spatial distribution and magnitude of air pollutants. Comprehensive multi-model and multi-scenario analyzes are needed to explore the relative impacts of alternative pathways. Our study begins to address this gap by leveraging the results from the recent Energy Modeling Forum 37 inter-model comparison exercise on U.S. decarbonization pathways. Comparing the results of the six teams who submitted air pollutant emissions suggests that strategies that target net zero U.S. carbon emissions would yield significant reductions in many air pollutants, and that this finding is generally robust across pathways. However, some energy sources, such as biomass and fossil fuels with carbon capture, will emit air pollutants and can potentially influence the magnitude, spatial distribution, and even sign of localized air pollutant emission changes. In the second part of this analysis, a simplified air quality and health impacts screening model is used to evaluate the air quality impacts in 2035 of sectoral emission changes from the three models that provided sectoral detail. Relative to a reference scenario, a net zero pathway is estimated to reduce fine particulate matter concentrations across the contiguous U.S., with health benefits from reduced mortality ranging from $65 billion to $250 billion in 2035 alone (2023$s). These benefits would be expected to grow over time as the net zero trajectory becomes more stringent. Both the magnitude of potential benefits and the substantial variation of the projections across models underscore the need for an EMF-like inter-model comparison exercise focused on air quality.

Air Pollution Reduces the Individuals’ Life Satisfaction Through Health Impairment

Abstract Background The impact of air pollution on individuals’ happiness and life satisfaction (LS), and its relationship to other factors became the focus of recent research. Though, the underlying mechanism of how air pollution impacts LS remains unclear. In this study, we examined the direct and indirect effect of air pollution on individuals’ LS through health mediation. Methods We used longitudinal individual-level data from “Understanding-Society: the UK Household-Longitudinal Study” on 59,492 individuals with 347,377 repeated responses across 11 years (2009-2019) that was linked to yearly concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution. Generalized structural equation models with multilevel ordered-logistic regression were used to examine the direct effect of air pollution on LS and the indirect effect from health impairment. Results Higher concentrations of NO2 (coefficient = 0.009, 95%CI = 0.007,0.012, p < 0.001), SO2 (coefficient = 0.025, 95%CI = 0.017,0.034, p < 0.001), PM10 (coefficient = 0.019, 95%CI = 0.013, 0.025, p < 0.001), and PM2.5 (coefficient = 0.025, 95%CI = 0.017,0.033, p < 0.001) pollutants were associated with poorer health, while poorer health was associated with reduced LS (coefficient = -0.605, 95%CI = -0.614,-0.595, p < 0.001). Mediation path analysis showed that air pollution impacted individuals’ LS directly and indirectly. The percent of total effect mediated through health was 44.03% for NO2, 73.95% for SO2, 49.88% for PM10, and 45.42% for PM2.5 and the ratio of indirect to direct effect was 0.79 for NO2, 2.84 for SO2, 0.99 for PM10, and 0.83 for PM2.5. Conclusions Health plays a major mediating role in the relationship between air pollution and LS. To alleviate the impact of air pollution on LS, future strategies should focus on health promotion besides reducing air pollution emissions. Key messages • Air pollution is related to lower life satisfaction directly and indirectly through health impairment. • Strategies and policies aiming at reducing air pollution emissions and better health would improve the individual’s life satisfaction and lower the mental health burden.

Urban transformation interventions for the promotion of active home-school mobility: overview

Abstract Background Active home-school mobility can contribute to a series of benefits, both for the health of children and adolescents (higher levels of physical activity, better cardio-metabolic profile, better school performance), and for the health of the general population and of environment (reduction of air pollution and greenhouse gas emissions). An overview of systematic reviews (RS) was conducted in order to evaluate mainly the effectiveness of interventions promoting active home-school mobility on physical activity, overweight/obesity, well-being and reduction of road accidents in children and adolescents. Methods The bibliographic search was carried out on the following databases: Cochrane Database of Systematic Reviews, MEDLINE, Embase and CINAHL, without any limits. Endnote software was used for the systematic reviews (SRs) selection. Data relating to the main characteristics and results of the SRs were extracted. The assessment of the methodological quality of the SRs was carried out using the “Health Evidence™ Quality Assessment Tool”. Results On the basis of the relevance and adherence to the research PICO, n. 12 systematic literature reviews evaluating effects of interventions of interest in the study population. The strategies took multiple levels into consideration, i.e. they aimed at organizing the home-school journey to encourage active mobility, as well as training and information aimed at the population under study for the promotion of physical activity. Conclusions Combined interventions appear more effective in promoting active home-school mobility with a better impact on increasing physical activity levels. Further high quality studies are necessary to investigate the impact of these interventions also on the reduction of incidence of overweight/obesity and in terms of school performance. Key messages • Policy makers should promote programs to increase active home-school transport. • Further high quality studies are necessary to investigate the impact of these interventions also on the reduction of incidence of overweight/obesity and in terms of school performance.

The impact of latent policy synergy between cities on air pollution: An empirical analysis from China's 12,764 air policies

Policy synergy plays a crucial role in managing regional air pollution. However, the current process of formulating collaborative policies often focuses too heavily on achieving optimal emission reduction outcomes, while neglecting the execution costs at the local level. This not only leads to a lack of coordination between existing governance measures and new policies but may also result in inefficient policy implementation and the wastage of administrative resources. To address this issue, we have conducted a thorough analysis of the latent interconnections in local governance and explored the possibility of formulating collaborative policies based on latent policy synergies. Utilizing a dataset of 12,764 policy documents from China spanning from 2000 to 2023, we employed unsupervised learning techniques and panel regression models to investigate the impacts of latent policy synergies among local governments. Our findings reveal that local governments initially relied on rigid command-and-control strategies to address air pollution, which were later enhanced with economic incentives like emissions trading and subsidies, thus broadening the scope of policy tools and improving compliance flexibility. Subsequently, as comprehensive monitoring networks were established, enabling real-time data acquisition and more accurate pollution assessments, the focus of policy efforts shifted towards a more integrated approach to regional air pollution management. This similar evolution facilitated latent policy synergy among local governments, leading to significant reductions in air pollution emissions. Notably, regions such as the Central Plains and coastal cities, characterized by their dense industrial activity and high energy consumption, have shown remarkable potential for collaborative efforts, achieving greater pollution control efficiencies. This study provides a valuable reference for the coordinated governance of air pollution policies.

Health Risk Assessment of Residents' Exposure to Air Pollutants around the Sinpyeong-Jangrim Industrial Complex in Busan.

In this study, we aimed to evaluate the health effects of heavy metals and volatile organic compounds (VOCs) in fine particulate matter (PM2.5) in the air around the Sinpyeong-Jangrim Industrial Complex, Busan, and the necessity of reduction measures. We measured the concentrations of heavy metals and VOCs in PM2.5 in five areas with dense population around the Sinpyeong-Jangrim Industrial Complex. A health risk assessment was conducted, and the spatial risk distribution for the entire Saha-gu area was predicted using inverse distance weighting (IDW). Our results indicated that the carcinogens benzene, As, and Cr6+, and the non-carcinogen m,p-xylene, have the potential to adversely affect health. In particular, As was found to have the potential to express health effects at all measurement points. Additionally, based on the IDW results, the minimum values of benzene, arsenic, and m,p-xylene exceeded the threshold level, potentially affecting the health of residents across the entire Saha-gu area. In contrast, Cr6+ could potentially impact health only in some parts of Saha-gu as only its maximum value exceeded the threshold level. We demonstrated the importance of reducing air pollutant emissions from general industrial complexes. Our results will be useful in establishing more systematic mitigation measures to protect the health of residents near the Sinpyeong-Jangrim Industrial Complex and developing air pollutant management systems.

Synergies quantification and evolution on air pollutant and CO2 emissions driven by different socio-economic effects

Realizing a synergistic reduction of air pollutant and CO2 emissions (APCE) is an important approach to promote a green socio-economic transformation in China, and it can provide a solid foundation for the achievement of clean energy production and climate action under a sustainable development goal framework. The objective of this study is to explore the quantitative relationship and evolution of synergies between APCE in industrial sectors driven by different socio-economic effects from 2007 to 2020 in China. The results indicated that the main sectors of pollutant emissions had consistency, however, large differences in the reduction efficiency of emissions exist among pollutants. The efficiency in reducing CO2 emissions was about 48% lower when compared with reductions of SO2 (95%), NOx (86%), and smoke and dust (83%) emissions from 2007 to 2020. The effects of improved technology were the main contributor to a reduction in pollutant emissions, but the synergies between APCE driving by it were not achieved. While the synergies between APCE driven by structure and final demand effects were significant. The synergies between NOx and CO2 emissions were stronger driven by final demand structure and type effects, with correlation coefficients of 1.06 and 1.13, respectively. Besides, the degree of synergistic reduction between APCE in most industrial sectors was around zero. Therefore, the efficiency of synergistic pollution reduction should be improved with the development of a synergistic governance system for industrial sectors. The structural decomposition analysis based on input-output model combined with the cross-elasticity analysis method to quantitively synergies between APCE from the consumption (demand) perspective, considering the connections between industrial sectors with socio-economic developing, which would contribute to the industrial synergistic reduction and green transformation as the consumption driven gradually increasing.

Towards Green and Low-Carbon Transformation via Optimized Polygeneration System: A Case Study of the Iron and Steel Industry

Polygeneration systems have significant potential for energy conservation and emission reduction and can effectively promote green and low-carbon development in energy-intensive industries, such as the iron and steel industry. However, its application faces the difficulty in technology selection under multiple objectives simultaneously, which is to determine the technology portfolio to achieve the synergy of energy conservation goals and air pollutant emission reduction goals, as well as ensure the economic benefits of the enterprises. This study investigated a case polygeneration system where the iron and steel plant are the core with four polygeneration paths and twenty polygeneration technologies. A multi-objective optimization model is developed to select the optimal technology combination of each polygeneration path under energy conservation, emission reduction, and cost control objectives, which is solved by the non-dominated sorting genetic algorithm-II (NSGA-II). The optimal results can reach significant energy conservation and emission reduction effects while obtaining economic benefits. However, synergistic and conflicting relationships among the objectives exist in both scales of iron and steel plants. The final decision scheme can achieve the mitigations equivalent to 15.9–27.1% and 16.3–42.6% of the energy consumption and air pollutant emissions of the steel enterprises with annual production of 3 Mt/a and 9 Mt/a, respectively. There are thirteen and twelve technologies that are selected as the final decision scheme in the polygeneration system in these two case enterprises. These findings demonstrate the significant roles the polygeneration system plays and provide critical insights and methodology in the technical selection of the polygeneration system.

Combustion Control of Ship’s Oil-Fired Boilers Based on Prediction of Flame Images

This study proposes and validates a novel combustion control system for oil-fired boilers aimed at reducing air pollutant emissions through flame image prediction. The proposed system is easily applicable to existing ships. Traditional proportional combustion control systems supply fuel and air at fixed ratios according to the set steam load, without considering the emission of air pollutants. To address this, a stable and immediate control system is proposed, which adjusts the air supply to modify the combustion state. The combustion control system utilizes oxygen concentration predictions from flame images via SEF+SVM as control inputs and applies internal model control (IMC)-based proportional-integral (PI) control for real-time combustion control. Due to the complexity of modeling the image-based system, IMC filter constant tuning through experimentation is essential for achieving effective control performance. Experimental results showed that optimal control performance was achieved when the filter constant λ was set to 1.5. In this scenario, the peak overshoot Mp was reduced to 0.19245, and the Integral of Squared Error (ISE) was minimized to 10.1159, ensuring a stable response with minimal oscillation and maintaining a fast response speed. The results demonstrate the potential of the proposed system to improve combustion efficiency and reduce emissions of air pollutants. This study provides a feasible and effective solution for enhancing the environmental performance of marine oil-fired boilers. Given its ease of application to existing ships, it is expected to contribute to sustainable air pollution reduction across the maritime environment.

Co-abatement of greenhouse gas and air pollutants in Shanghai, China: Spatial hotspots identification, effects assessment and policy implication

Driving co-abatement of Greenhouse Gas (GHGs) and Air Pollutants (APs) in the city level is crucial for fostering societal green and low-carbon transitions, yet comprehensive and refined researches at this level remain limited. To facilitate urban fine management of GHGs control and APs reduction, this study targeted nine categories of anthropogenic emission sources in Shanghai, a typical megacity of China, analyzing the co-benefits of three types of GHGs (CO2, CH4, N2O) and seven types of APs (SO2, NOx, CO, VOCs, NH3, PM2.5, PM10) via emissions flow, spatial distribution, hotspot regions identification, and scenario prediction. Results highlighted the source heterogeneity of different types and significant contributions of energy consumption. CO2 emissions showed a strong spatial correlation with SO2, NOx, and CO, followed by VOCs and PM. Hotspot regions for CO2-VOCs, CO2-NOx and CO2-SO2 co-abatement included power plants, petrochemical enterprises and chemical industrial parks in the southern coastal areas, iron and steel enterprises and power plants in the northern coastal areas, and airport areas in the central and eastern coastal areas, presenting great potential maximum reduction benefits. Achieving positive co-benefits in industrial sector would depend on the steady decline of CO2 emissions in power generation and steel industries. Introducing carbon capture devices and improving energy efficiency would be more beneficial to CO2 emission reduction, while increasing the share of clean energy and phasing out outdated vehicles, machinery, or production capacities are more effective in reducing APs. These mitigation measures could achieve 68.8 % and 47.6 % reduction for CO2 and APs by 2050, respectively, and the co-effect of CO2 and APs emission reduction would gradually increase with the continuous implementation of these measures.

Pregnancy outcomes as related to in utero exposure to air pollution and greenness: The Life-GAP Project.

Lower birth weight and preterm birth may increase the risk of adverse health outcomes later in life. We examined whether maternal exposure to air pollution and greenness during pregnancy is associated with offspring birth weight and preterm birth. We analyzed data on 4286 singleton births from 2358 mothers from Respiratory Health in Northern Europe, a prospective questionnaire-based cohort study (1990-2010). Mixed-effects regression models with random intercepts for mothers and centers were used to estimate the association of exposures to particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), ozone (O3), black carbon (BC), and greenness (Normalized Difference Vegetation Index in 300m-buffers [NDVI300m]) with birth outcomes, adjusting for potential confounders. Median (interquartile range [IQR]) exposures to PM2.5, PM10, NO2, O3, BC, and NDVI300m during pregnancy were 8.4(5.0) µg/m3, 14.4(8.3) µg/m3, 14.0(11.0) µg/m3, 54.7(10.2) µg/m3, 0.47(0.41) µg/m3, and 0.31(0.20), respectively. IQR increases in air pollution exposures during pregnancy were associated with decreased birth weight and the strongest association was seen for PM2.5 (-49g; 95% confidence interval [CI] = -83, -16). However, O3 showed an opposite association. IQR increase in NDVI300m was associated with an increase in birth weight of 25 g (95% CI = 7, 44). Preterm birth was not associated with the exposures. Increased greenness and decreased air pollution may contribute to healthier pregnancies and improve overall health in the next generation. This emphasizes the need to adopt policies that target the reduction of air pollution emissions and exposure of the population.

Role of primary drivers leading to emission reduction of major air pollutants and CO2 from global power plants

Electricity production is a significant source of air pollution. Various factors, including electricity demand, generation efficiency, energy mix, and end-of-pipe control measures, are responsible for the emission changes during electricity generation. Although electricity production more than doubled from 1990 to 2017, air pollutant emissions showed a moderate increase or decrease, which was attributed to mitigating drivers such as increased clean energy use, improved power generation efficiency, and widespread installation of end-of-pipe control facilities. The absence of these mitigating drivers would have increased CO2, fine particulate matter (PM2.5), black carbon, SO2, and NOx emissions in 2017 by 165 %, 403 %, 1070 %, 614 %, and 274 % than their actual levels, respectively. The improved electricity generation efficiency reduced potential CO2, PM2.5, SO2, and NOx emissions by 30 %, 295 %, 119 %, and 52 % compared to actual emissions, respectively. Meanwhile, the installation of end-of-pipe facilities reduced potential SO2 and PM2.5 emissions by 34.7 and 4.0 Tg, respectively. Considerable differences in emissions among countries were found to be attributable to their differences in electricity demand and the implementation of local mitigating polices.

Health benefits of phasing out coal-fired power plants in Ontario, Alberta, and Canada

Coal-fired power plants (CFPPs) in Ontario were decommissioned in a phased approach from 2003 to 2014. After Ontario's commitment to eliminate coal-based electricity generation, Alberta and Canada have planned on phasing out coal in the electricity sector. The coal regulation in Canada targets coal-free electricity generation by 2030, accelerating the criteria air pollutant emission reductions in the CFPPs nationwide. The Regulatory Impact Analysis Statement (RIAS) under the coal regulation estimated substantial health benefits based on scenario analysis. Here we use adjoint sensitivity analysis as an alternative approach to estimate the health impacts of CFPPs and non-coal electric generating units (EGUs). The adjoint of the U.S. EPA's Community Multiscale Air Quality (CMAQ) model is used to attribute PM2.5-related health impacts for primary and precursor PM2.5 emissions emitted from the CFPPs and non-coal EGUs in Canada using various epidemiological studies. Our findings suggest that the reduction of CFPP emissions yields more total benefits rather than other fuel types in EGUs. A significant amount of total health burden is estimated to occur within the province that hosts the facility, and with a larger portion of this benefit coming in warmer seasons. Our retrospective analysis of Ontario coal phase-out estimates $1B CAD total annual health benefits in 2003, or projected 2014 benefits of $1.8 B CAD. The transboundary impact of emission reductions from coal-fired power plants in the U.S. entails significant health benefits to Ontario and Canada, more than twice that of Ontario's own coal phase-out. Nationwide, total health burden estimate for CFPPs and non-coal EGUs is $418M CAD in 2014. The choice of epidemiological model has a sizeable impact on estimated burdens or benefits.

The effect of government-firm relationship on pollution reduction: The role of official performance appraisal

This paper investigates the unexpected positive effect of the government-firm relationship on environmental governance in the context of the reform of official performance appraisal (OPA) in China. In 2013, the central government launched an OPA reform that aimed to reduce the dependence on GDP growth and increase the focus on environmental protection in the appraisal process. According to the empirical results, in cities with mayors who have promotion incentives, firms that received favor from local governments can significantly reduce air pollutant emissions after the OPA reform. These findings remain robust even after conducting various tests, such as parallel trend test, omitted variables, and alternative explanations. This paper demonstrates that a reciprocal relationship between governments and firms can benefit society with the appropriate incentives.

Monetizing shipping emission reduction: Environmental benefit analysis of domestic emission control areas policy 2.0 in China

Shipping is a major contributor to anthropogenic emissions, exerting complex effects on both the environment and climate. To improve the air quality of coastal areas, China adopted an upgraded policy on domestic emission control areas (DECA 2.0) for shipping in December 2018, which expanded the geographical scope of ECAs from three designated heavy-traffic coastal regions to the entire 12 nautical mile-territorial seas and also introduced more stringent ship emission requirements. Based on data from the Automatic Identification System, this study first evaluates the environmental effects of ship emissions' reduction brought by DECA policy 2.0. Results reveal that implementation of DECA policy 2.0 has resulted in a cumulative reduction (2019–2021) of 8.43 × 105 tons, 1.3 × 105 tons, and 1.49 × 105 tons of sulfur dioxide (SO2), particulate matter <2.5 μm diameter (PM2.5) and PM <10 μm (PM10) emissions, respectively. Based on the external cost method, we further monetize the environmental benefits arising from reduction of air pollution emissions, averaging $3.6 billion USD per year. This number equates to ca. 4 % of the total output value of China's marine transportation industry over the three-year period. Finally, we calculate the fuel replacement cost arising from the implementation of DECA policy 2.0, which is on average $1.23 billion USD. This indicates that the net environmental benefits of DECA policy 2.0 equate nearly double the associated costs.

Can carbon emission trading policy enhance the synergistic emission reduction of carbon dioxide and air pollutants? A comparative study considering different pollutants

Exploring the synergistic control of carbon dioxide and pollutants is significant to the dual carbon target. This study first evaluates the effect of CET on the synergistic emission reduction of carbon dioxide and different pollutants. Moreover, this study investigates the mechanisms of synergistic emission reduction through the pathways of technology progress and structure adjustment. Technology progress is categorized into technology research and development, technology introduction, reverse technology spillover and technology purchase. Structure adjustment contains industrial structure and energy structure. Finally, the impact of CET on the synergistic emission reduction in the surrounding regions is analyzed. The results indicate that the CET could promote the synergistic emission reduction of carbon dioxide and pollutants, including air pollutants (SO2, PM2.5), wastewater and solid waste. The synergistic emission reduction of CO2 and SO2 could be enhanced through reverse technology spillover, technology purchase and industrial structure adjustment. The synergistic emission reduction of CO2 and PM2.5 could be enhanced through R&D and reverse technology spillover. The synergistic emission reduction of carbon dioxide and ammonia nitrogen could be enhanced by increasing R&D, technology purchase and energy structure adjustment. The CET could improve the synergistic emission reduction effect of carbon dioxide and air pollutants in the surrounding regions.

Global Crisis Frame Matters for Unity: Resource Threat Hampers While Safety Threat Promotes Intergroup Cooperation

Realistic global crises trap humanity in common threats requiring intergroup unity to combat them. How do common threats shape intergroup cooperation? Previous studies have focused on the impact of threat severity on intergroup cooperation and yielded mixed results. We proposed that framing common threat based on two key aspects (resource vs. safety threats) has opposing effects on intergroup cooperation. We conducted three studies (N = 840) to test our assumptions. Across scenarios of combating wars (Study 1), reducing air pollutant emissions (Study 2), and mitigating climate change (Study 3), framing a crisis as resource threat hampered intergroup cooperation, whereas framing it as safety threat promoted intergroup cooperation. These effects were mediated by the pursuit of ingroup interests (Study 3). Our findings provide new insights into the complex effects of common threat on intergroup interactions and have practical implications for facilitating unity during global crises.

Air pollution and cancer daily mortality in Hangzhou, China: an ecological research

BackgroundLong-term exposure to air pollution has been linked to cancer incidence. However, the evidence is limited regarding the effect of short-term exposure to air pollution on cancer mortality.ObjectivesThis study aimed...