Health and Economic Impact Assessment of Transport and Industry PM2.5 Control Policy in Guangdong Province

PM2.5 pollution-related diseases lead to additional medical expenses and the loss of working hours, thus affecting the macro-economy. To evaluate the health-related economic impacts of PM2.5, the Integrated Assessment Model of Climate, Economic, and Environment (ICEEH), combined with the Computable General Equilibrium (CGE) model, the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model, and a health impact assessment module was constructed. The impact of different air pollution control strategies was analyzed in Guangdong Province by establishing a Without Control (WOC) scenario, an Air Control (AIC) scenario, and a Blue Sky (BLK) scenario. The results show that in the WOC scenario for 2035, the death rate for Guangdong Province is 71,690 persons/year and the loss of working hours is 0.67 h/person/year. In the AIC and BLK scenarios compared with WOC for 2035, the loss of working hours is reduced by 29.8% and 34.3%, and premature deaths are reduced by 33.0% and 37.5%, respectively; GDP would increase by 0.05% and 0.11%, respectively, through strict pollution control policies. Furthermore, improved labor force quality induced by better air conditions would promote the added value in labor-intensive industries, such as agriculture (0.233%), other manufacturing (0.172%), textiles (0.181%), food (0.176%), railways transport (0.137%), and services (0.129%). The added value in the waste (−0.073%), nature gas (−0.076%), and crude oil sectors (−0.072%) would decrease because of the increased investment installment in PM2.5 treatment equipment.

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Using the Grey Model to Analyze the Impact of the Primary, Secondary, and Tertiary Industries on the Public’s Attention to Air Pollution in Three Cities

Mathematical Problems in Engineering ◽

10.1155/2020/6614570 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Haolei Gu ◽

Yan Chen

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Added Value ◽

Air Pollution Control ◽

Public Attention ◽

The Public ◽

Tertiary Industry ◽

Convolution Model ◽

Secondary Industry ◽

The Impact

To analyze the impact of the added value of primary, secondary, and tertiary industry on public attention to air pollution in Handan, Xingtai, and Shijiazhuang, Baidu index is used to build the air pollution attention index. Taking the added value of the primary, secondary, and tertiary industry as the influencing factors, fractional grey multivariable convolution model is used to predict and analyze the public attention to air pollution in these three cities from 2020 to 2024. The results show that the secondary industry has the greatest impact on the public’s attention to air pollution compared with the primary industry and the tertiary industry. And the added value of the secondary industry with faster increase will cause a faster increase in the public’s air pollution attention from 2020 to 2024, especially in Handan. It is not only helpful to air pollution control, but also helpful in solving the public psychological problems caused by air pollution.

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A Philosophy of Industrial Air Pollution Control

Journal of Engineering for Industry ◽

10.1115/1.3427928 ◽

1971 ◽

Vol 93 (2) ◽

pp. 379-383

Author(s):

Herbert F. Lund

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Practical Approach ◽

Air Pollution Control ◽

Industrial Air Pollution ◽

Legislative Procedures ◽

Pollution Problem ◽

The World ◽

The Impact

It is time we settled down to a sensible, practical approach to solving the industrial air pollution problem. That is the goal of this paper: to take the sensationalism out and replace it with a sensible evaluation of the situation. The major points covered are 1 a brief review of historical facts, 2 an analysis of present conditions around the world, 3 what is industry’s responsibility, 4 a comparison of legislative procedures and their enforcement effectiveness, 5 the impact of air pollution control costs on worldwide markets, 6 suggestions for solutions.

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Effects of Human Gait on Air Distribution in Contagious Isolation Tent Wards

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.1770 ◽

2013 ◽

Vol 380-384 ◽

pp. 1770-1773

Author(s):

Gao Feng Wei ◽

Zhan Shu ◽

Gang Tang

Keyword(s):

Air Pollution ◽

Air Temperature ◽

Pollution Control ◽

Three Dimensions ◽

Human Gait ◽

Air Distribution ◽

Air Pollution Control ◽

Air Velocity ◽

The Impact ◽

Contaminant Distribution

The purpose of this study was to investigate the effects of human gait on air distribution in contagious isolation tent wards. The proposed contagious isolate tent wards were designed as the operating room for serious paroxysmal infectious patients. The three dimensions model of contagious isolation tent ward was reconstructed. Then, the computed fluid dynamical (CFD) methods were used to simulate and analyze the air distribution of contagious isolation tent ward. The dynamical meshes technology was employed to simulate the human gait. An experiment was implemented to measure air velocity of the proposed isolate tent ward. The results showed that the human gait motion affects air pressure, air velocity and contaminant distribution, while the impact on air temperature could be ignored. It was concluded that the impact of human gait or movements should be taken into account in air pollution control of contagious isolation tent wards.

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Can the Target Responsibility System of Air Pollution Control Achieve a Win-Win Situation of Pollution Reduction and Efficiency Enhancement?

Frontiers in Energy Research ◽

10.3389/fenrg.2021.821686 ◽

2022 ◽

Vol 9 ◽

Author(s):

Jie Wang ◽

Hao Xu ◽

Jingxuan Xu

Keyword(s):

Air Pollution ◽

Pollution Control ◽

Environmental Law ◽

Pollutant Emissions ◽

Air Pollution Control ◽

Sample Interval ◽

The Difference ◽

High Degree ◽

The Impact ◽

Responsibility System

Whether the environmental target responsibility system, a typical mandatory environmental regulation, can realize the coordinated development of environmental protection and economic growth has attracted widespread attention. With the difference-in-differences (DID) method, this paper utilizes a policy, “China’s Key Cities for Air Pollution Control to Meet the Standards within the Time Limit (APCMS),” as a quasi-natural experiment to empirically examine the target responsibility system of air pollution control’s effect on both firms’ pollutant emissions and their total factor productivity (TFP). The corresponding mechanisms are also investigated. The results show: 1) The policy not only significantly decreases firms’ pollutant emissions, but also improves their TFP. The results are robust to the exclusion of the impact of other policies in the same period, propensity score matching DID (PSM-DID) test, the adoption of alternative dependent variables, and altering sample interval; 2) The dynamic analysis shows that the policy effect on reducing pollutant emissions has increased over years after a lag of 2 years; 3) The policy reduces pollutant emissions mainly through stimulating the internal innovation rather than end-pipe treatment or production cuts. 4) Capital-intensive and private firms and firms in regions with a high degree of marketization or strong environmental law enforcement are found more responsive to the environmental target responsibility system.

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Population Dynamics and Air Pollution: The Impact of Demographics on Health Impact Assessment of Air Pollution

Journal of Environmental and Public Health ◽

10.1155/2013/760259 ◽

2013 ◽

Vol 2013 ◽

pp. 1-12 ◽

Cited By ~ 6

Author(s):

Esben Meulengracht Flachs ◽

Jan Sørensen ◽

Jakob Bønløkke ◽

Henrik Brønnum-Hansen

Keyword(s):

Air Pollution ◽

Impact Assessment ◽

Health Impact Assessment ◽

Health Impact ◽

Assessment Model ◽

Life Years ◽

Health Impact Assessments ◽

Mortality Causes ◽

The Impact ◽

Municipal Level

Objective. To explore how three different assumptions on demographics affect the health impact of Danish emitted air pollution in Denmark from 2005 to 2030, with health impact modeled from 2005 to 2050.Methods. Modeled air pollution from Danish sources was used as exposure in a newly developed health impact assessment model, which models four major diseases and mortality causes in addition to all-cause mortality. The modeling was at the municipal level, which divides the approximately 5.5 M residents in Denmark into 99 municipalities. Three sets of demographic assumptions were used: (1) a static year 2005 population, (2) morbidity and mortality fixed at the year 2005 level, or (3) an expected development.Results. The health impact of air pollution was estimated at 672,000, 290,000, and 280,000 lost life years depending on demographic assumptions and the corresponding social costs at 430.4 M€, 317.5 M€, and 261.6 M€ through the modeled years 2005–2050.Conclusion. The modeled health impact of air pollution differed widely with the demographic assumptions, and thus demographics and assumptions on demographics played a key role in making health impact assessments on air pollution.

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Effects of Air Pollution Control on Urban Development Quality in Chinese Cities Based on Spatial Durbin Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15122822 ◽

2018 ◽

Vol 15 (12) ◽

pp. 2822 ◽

Cited By ~ 3

Author(s):

Yanchao Feng ◽

Xiaohong Wang ◽

Wenchao Du ◽

Jun Liu

Keyword(s):

Air Pollution ◽

Urban Development ◽

Pollution Control ◽

Local Governments ◽

Rapid Development ◽

Eastern Region ◽

Air Pollution Control ◽

Spatial Durbin Model ◽

Chinese Cities ◽

The Impact

With the rapid development of urbanization, industrialization, and motorization, a large number of Chinese cities have been affected by heavy air pollution. In order to promote the development quality of Chinese cities, mixed regulations to control air pollution have been implemented under the lead of government. The principal component analysis and efficacy coefficient method are used to estimate urban development quality, according to the panel data of 285 prefecture-level cities in China over the period 2003–2016. On this basis, the paper uses the spatial Durbin model to study the direct impact and the spatial spillover effect of air pollution control on urban development quality in China. Results show that the control of smoke and dust has improved urban development quality in China, however, the control of sulfur dioxide has led to the decline of urban development quality in China. Furthermore, the impact of air pollution control on urban development quality in the eastern region is of great significance in statistical tests, while the situation in the central and western regions has not passed the test, implying the spatial heterogeneity among different regions. The different effects of air pollution control on urban development quality in different regions also illustrate the consciousness and supervision of local governments’ environment protection. Finally, the effects decomposition of the influencing factors based on spatial Durbin model (SDM) also supports the robust findings. Promoting the upgrading of energy consumption structure, raising awareness of environmental protection and supervision, and strengthening cooperation of different regions are suggested. Further recommendations are provided to improve the conceptual design and increase the credibility of our research. Our study not only provides new evidence on the impact of air pollution control on urban development quality in China, but also proposes a new perspective to promote urban development quality in China.

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