Collaborative control of air pollution in the Beijing–Tianjin–Hebei region

Meng, Chao; Tang, Quan; Zhen-hua, Yang; Hai-yan, Cheng; Li, Zhigang; Li, Kailin

doi:10.1016/j.eti.2021.101557

Cited by 25 publications

(6 citation statements)

References 16 publications

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“…The answers are very good, good, fair, poor, and very poor. This reflects the overall subjective experience of mental and physical wellbeing and is closer to the WHO's definition of health [5]. Moreover, selfreported health can be used as a valid predictor of mortality and other functional limitations in many countries and regions [14,23,24], We set the dependent variable as a binary variable.…”

Section: Variablesmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data

Zhao,

Peng,

Zhou

et al. 2024

Int J Public Health

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ObjectivesWe evaluated the long-term effects of air pollution controls on health and health inequity among Chinese >45 years of age.MethodsData were derived from the China Health Aging and Retirement Longitudinal Survey and the China National Environmental Monitoring Centre. Decreases in PM2.5 and PM10 were scaled to measure air quality controls. We used a quasi-experimental design to estimate the impact of air quality controls on self-reported health and health inequity. Health disparities were estimated using the concentration index and the horizontal index.ResultsAir pollution controls significantly improved self-reported health by 20% (OR 1.20, 95% CI, 1.02–1.42). The poorest group had a 40% (OR 1.41, 95% CI, 0.96–2.08) higher probability of having excellent self-reported health after air pollution controls. A pro-rich health inequity was observed, and the horizontal index decreased after air pollution controls.ConclusionAir pollution controls have a long-term positive effect on health and health equity. The poorest population are the main beneficiaries of air pollution controls, which suggests policymakers should make efforts to reduce health inequity in air pollution controls.

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Section: Variablesmentioning

confidence: 99%

“…The World Health Organization (WHO) released the new Global Air Quality Guidelines (AQG) in 2021 to promote incremental improvements in air quality. The health effects and disease burden of air pollution are serious, and air pollution has been identified as one of the most urgent issues facing China [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data

Zhao,

Peng,

Zhou

et al. 2024

Int J Public Health

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“…The constant appearance of regional public affairs and the increasing difficulty and complexity of governance mean that a single subject no longer has the resources and conditions for independent action. Regional collaborative governance has become an important theoretical basis and action plan for government departments in solving cross-regional governance problems such as regional environmental pollution and regional public service supply [6]. The attention of the practical circle to regional collaborative governance has aroused the concern and thinking of the theoretical circle.…”

Section: Literature Reviewmentioning

confidence: 99%

Structural Characteristics and Evolution Trend of Collaborative Governance of Air Pollution in “2 + 26” Cities from the Perspective of Social Network Analysis

2023

Sustainability

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The regional and complex air pollution problem has become a major bottleneck restricting the sustainable development of regional economies and societies. Constructing a regional collaborative governance network has become a key solution to solving the cross-regional air pollution problem. By performing a social network analysis, this paper analyzes the overall structure, internal characteristics, and evolution trend of the collaborative governance network of regional air pollution by selecting the data samples of the “2 + 26” cities from 2017 to 2021. The study found that the excellent results of air pollution control in Beijing–Tianjin–Hebei and its surrounding areas are due to precise and efficient collaboration among the “2 + 26” cities. The collaborative network formed by “2 + 26” cities based on the joint initiation of severe weather emergency responses is an important measure that can help to effectively control regional air pollution problems. There is a distinct difference in the collaborative pattern in the “2 + 26” cities air pollution collaborative governance model, showing a nested-difference network structure.

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“…Currently, Shijiazhuang, as the capital city of the province, has limited resilience to disasters driving surrounding cities, and the difference in resilience between the southern and northern cities was significant, which requires proactive enhancement of a collaborative resilience devel-opment strategy [53]. Some environmental issues, such as air and water pollution, exist within BTH, requiring in-depth pollution prevention, control, and management [65]. BTH, as a region with a high probability of earthquakes, should attract considerable attention for earthquake prevention [66].…”

Section: Resilience Enhancement Strategymentioning

confidence: 99%

Evaluation of Urban Resilience of China’s Three Major Urban Agglomerations Using Complex Adaptive System Theory

He,

Zhang,

Wang

et al. 2023

Sustainability

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By 2050, a majority of the global population will reside in urban agglomerations. Intensifying natural hazards are posing serious challenges to populations within the urban agglomerations. Therefore, it is critical to evaluate the resilience of urban agglomerations to natural hazards. However, the urban resilience of China’s three major urban agglomerations, Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and Guangdong–Hong Kong–Macao Greater Bay Area (GHMB), is not properly determined. To enhance the evaluation of comprehensive resilience in complex urban agglomerations and improve adaptability in the face of uncertain risks, this paper adopts the theory of complex adaptive systems to reveal the driving factors behind resilience. We developed a model for measuring disaster severity, exposure, bearing capacity, recoverability, and learnability. Furthermore, spatial autocorrelation analysis was employed to explore the distribution patterns of resilience and devise strategies for enhancement. The results indicate that the average urban resilience value of the three major urban agglomerations was 0.5061. The average urban resilience values for BTH, YRD, and GHMB are 0.5331, 0.5116, and 0.4612. We found BTH having the highest resilience level, followed by YRD and GHMB. Within BTH, the resilience level was the highest in the northern part of BTH, but the overall resilience of the southern cities should be improved by enhancing Shijiazhuang’s central role. We also found higher resilience level in northwest YRD than in southeast YRD due to lower population density and lower disaster exposure in northwest YRD. However, we found obscure spatial patterns of urban resilience within GHMB, i.e., higher urban resilience in east and west GHMB and lower urban resilience level in central GHMB. This study presents different urban resilience levels over three urban agglomerations, providing background information for urban planning and urban mitigation to natural disasters in a warming climate.

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Collaborative control of air pollution in the Beijing–Tianjin–Hebei region

Cited by 25 publications

References 16 publications

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data

Structural Characteristics and Evolution Trend of Collaborative Governance of Air Pollution in “2 + 26” Cities from the Perspective of Social Network Analysis

Evaluation of Urban Resilience of China’s Three Major Urban Agglomerations Using Complex Adaptive System Theory

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