Numerous regions across China have introduced "dual carbon" policies, yet the response of cities to these policies remains unclear. In this study, we used emission data from 271 Chinese cities for the years 2010, 2015, and 2020 to construct a complex network of urban carbon emissions with a modified gravity model. To further investigate the drivers of the "dual carbon" policy diffusion, we conducted a simulation of network evolution under the two policy diffusion mechanisms of coercion and learning. Our findings indicate that the "dual carbon" policy exhibits a network diffusion effect, with cost-effectiveness serve as a critical factor influencing its spread. And the China's low carbon price lacks incentives for reduction, carbon pricing needs to be increased and differentiated emission reduction incentives, penalties for over-emission, and carbon quotas based on the type of decoupling of the city need to be introduced to facilitate the diffusion of policies. Additionally, through counterfactual scenario analysis and an exploration of network structural characteristics, we highlighted the vital role of cities with high betweenness centrality within urban agglomerations in facilitating efficient policy diffusion. This study also offers a process for selecting pilot cities, providing a valuable reference for future policy initiatives.

Although the government highly focuses on old residential building energy-saving renovation (ORBESR), many hinders still exist and the efficiency of it is still low. This paper proposes a four-party evolutionary game model to study the impact of relative stakeholders’ choices, involving developers, residents, neighborhood councils, and governments. Using this model, this paper studies what influences the conflicts between developers and residents take on the efficiency of ORBESR. In addition, what influence the residents, neighborhood councils, and developers’ strategies will take on the ORBESR under the condition of evolutionary stability strategy. This paper finally concludes that governments could propose high penalties first to accelerate the stability of the system, then suitable subsidies to relieve the financial burden and to achieve high efficiency. The governments could provide a suitable plan for residents’ investment to promote residents’ participation. The neighborhood councils arouse the ways and facilities to help residents understand and participate in the ORBESR and try to solve the conflicts between developers and residents can improve the residents’ participation and the developers’ willingness to implement the ORBESR.

Air pollution exposure has been linked to a variety of adverse health outcomes among minors; yet little is known about the associated health inequity across regions and schools. Here, we assessed the unequal health burden linked to particulate matter exposure among minors of 10,358 schools in China through 12,439,232 individual health records. Our findings highlight the persistent health risks with superlinear concentration-response patterns and following inverted U-shaped risk trends, that each 10 μg/m3 increase in PM2.5 exposure resulted in 4.1% (3.9-4.2%) additional school absenteeism risk. Compared to urban well-built schools, minors in rural poor-built schools experienced significantly higher exposure and slower rate of risk reduction and had over 80.0% less medical resources while bearing 145.2% of the health burden. Disparities in pollution exposure, built environment, and resource allocation are intertwined to shape the health inequity pattern, especially between rural and urban schools. These findings underscore the urgency for persistent efforts aimed at disadvantaged schools to reduce pollution exposure and equitably distribute social resources, ultimately securing an impartial health-centered education for minors.

Despite the existence of many interventions to mitigate or adapt to the health effects of climate change, their effectiveness remains unclear. Here, we introduce the Comprehensive Evaluation Framework for Intervention on Health Effects of Ambient Temperature to evaluate study designs and effects of intervention studies. The framework comprises three types of interventions: proactive, indirect, and direct, and four categories of indicators: classification, methods, scope, and effects. We trialed the framework by an evaluation of existing intervention studies. The evaluation revealed that each intervention has its own applicable characteristics in terms of effectiveness, feasibility, and generalizability scores. We expanded the framework's potential by offering a list of intervention recommendations in different scenarios. Future applications are then explored to establish models of the relationship between study designs and intervention effects, facilitating effective interventions to address the health effects of ambient temperature under climate change.

Introduction:Residential segregation have become a common phenomenon in China recently. Socioeconomically disadvantaged residents were more likely to live in communities with higher PM2.5 concentrations and poorer built environment, which may ultimately lead to a higher health risk, further exacerbating health inequalities. However, the reasons for health inequalities under residential segregation remain unclear.Methods:This study quantified the built environment, air pollution, mortality rate and housing price at 1 km × 1 km grid scale. Moderating effect model, mediating effect model, moderated mediating effect model were used to progressively clarify the relationship between the four.Results:Results show that, in terms of spatial distribution, the central area has high housing price with good built environment, low PM2.5 concentration and low mortality rate. While the suburban area has low housing price, poor built environment, high PM2.5 concentration and high mortality rate. Additionally, built environment can not only reduce health risks through moderating effect, but also affect health through the mediating effect of PM2.5. There is heterogeneity in moderating effect of built environment in different locations. Housing prices can moderate the effect of built environment on health. This study would offer important reference for urban planning to mitigate the effect of built environment inequalities on health inequalities in China.

In the current context of air pollution control, inconsistent interest demands from various stakeholders hinder efficient cooperative governance. This study developed a tripartite evolutionary game model to examine the decision-making mechanism of enterprises, the public, and the governments involved in China's air pollution control process. Using theoretical and simulation analysis, the study identifies critical factors of stakeholders' strategies and propose possible evolution paths for achieving collaborative air pollution control. The results showed that collaborative governance among the three stakeholders is the optimal path for air pollution control in China, which evolves through four stages: government regulation, enterprises' pollution control, public participation, and government withdrawal. Currently, China is currently in a transitional period from public participation to government withdrawal and should focus on introducing subsidy policies to encourage green technology innovation among enterprises, strengthen environmental information disclosure, and establish and improve public participation mechanisms. In the future, China should prioritize the construction of public participation channels, incentivize green technology innovation, and focus on synergistic effect of carbon emission reduction among enterprises. This will help achieve the possible government withdrawal stage where joint governance of the public and enterprises can effectively control air pollution, allowing the government to shift focus to other important environmental issues such as carbon emission reduction.

Air pollution is still an important risk factor that endangers the health of Chinese people, leading the government to implement a series of policies to address air pollution. This study takes the Air Pollution Prevention and Control Action Plan (APPCAP) proposed in 2013 as the object and uses the combined data set of China’s 2000–2019 economic panel data and PM2.5 remote sensing data to analyse the implementation effect of the policy by the multiperiod difference-in-differences method, considering regional heterogeneity. The results show that the implementation of the APPCAP significantly reduced the PM2.5 concentration in China, and the effect was stronger in the Yangtze River Delta region. Future governance policies should further consider local characteristics and determine pollution control goals and measures according to local conditions.

Air pollution seriously threatens human health and even causes mortality. It is necessary to explore effective prevention methods to mitigate the adverse effect of air pollution. Shaping a reasonable built environment has the potential to benefit human health. In this context, this study quantified the built environment, air pollution, and mortality at 1 km × 1 km grid cells. The moderating effect model was used to explore how built environment factors affect the impact of air pollution on cause-specific mortality and the heterogeneity in different areas classified by building density and height. Consequently, we found that greenness played an important role in mitigating the effect of ozone (O3) and nitrogen dioxide (NO2) on mortality. Water area and diversity of land cover can reduce the effect of fine particulate matter (PM2.5) and NO2 on mortality. Additionally, gas stations, edge density (ED), perimeter-area fractal dimension (PAFRAC), and patch density (PD) can reduce the effect of NO2 on mortality. There is heterogeneity in the moderating effect of the built environment for different cause-specific mortality and areas classified by building density and height. This study can provide support for urban planners to mitigate the adverse effect of air pollution from the perspective of the built environment.

Increasing extreme temperatures are producing a serious impact on the economies of cities. However, the importance of social factors is typically neglected by the existing research. In this work, we first establish a supply-demand-public expenditure (SDP) framework for assessing and forecasting heat-related economic loss. Compared with the previous framework, SDP possesses a more comprehensive index system and functions that apply to all types of cities. We selected different economic development and geographical locations (Nanjing, Suzhou, and Yancheng) as case studies to verify the wide applicability of the SDP framework. A qualitative analysis and quantitative prediction of heatwaves and socioeconomic factors on losses were conducted for different cities. The results showed that different loss types displayed obvious regional heterogeneity among the cities. The labor value loss was the most significant type, and health loss was the most vulnerable type. In addition, public expenditure played a neglected critical regulatory role. Apart from these, the current level of public expenditure for heat prevention and control remains insufficient. Based on an assessment of the effects of interventions, policymakers need to make more efforts to increase the proportion of heat-related public spending and ensure stable socio-economic development by utilizing pathways with positive intervention potentials.

BackgroundExtreme temperature events have increased in frequency and intensity globally in recent decades, but few studies have considered the additional effects of heat waves. This study evaluated and compared the excess mortality of characteristic populations under different definitions of high temperature in Nanjing, Suzhou, Yancheng in the future.MethodsThis study projected the extreme temperature by global climate models from 2020 to 2050 of three cities under four SSP scenarios and used DLNM to evaluate the relationship between attributable mortality and temperature. This paper combined with future climate change and population change to explore the attributable mortality of future characteristic populations under different definitions of high temperature.ResultsThe health burden on elderly population will be much greater in the future than 22 present, relative to the rest of the population. Under different definitions of high 23 temperature, added effects of heat waves on mortality were higher for females versus 24 males, the elderly versus young residents.ConclusionThe definition of heat wave plays an important role in the relationship 26 between heat wave and mortality. Therefore, the selection of appropriate heat wave 27 definitions is important for designing local heat warning systems.