IGSNRR OpenIR
The effects of Intensive Supervision Mechanism on air quality improvement in China
Wang, Min1,2; Wang, Yu1; Feng, Xiangzhao1,2; Zhao, Mengxue1; Du, Xiaolin1; Wang, Yujia3; Wang, Peng1,2; Wu, Liang4
2021-05-02
Source PublicationJOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION
ISSN1096-2247
Pages12
Corresponding AuthorWang, Peng(wang.peng@prcee.org) ; Wu, Liang(wuliang@igsnrr.ac.cn)
AbstractThe Intensive Supervision Mechanism (hereafter referred to as ISM) is one of the most important institutional management innovations for air pollution control in China, but there is currently no consensus on the effects of the ISM on air quality improvement. In this study, a reliable quantitative model based on the Difference-in-Differences (DID) analysis was designed to evaluate the impacts of ISM on air quality (as indicated by good air quality days (hereafter referred to as GAD) and the concentrations of six major air pollutants (i.e. PM2.5, PM10, O-3_8H, NO2, SO2, and CO)), in China with focuses on the implementation cities of Henan Province. To optimize the model design, six meteorological factors, five socio-economic indicators, and VIIRS (Visible Infrared Imaging Radiometer Suite) data were also considered as alternative control variables for more comprehensive and effective results. In addition, the redundancy analysis (RDA) and Monte Carlo simulation were conducted to determine the optimal combination of those control variables which can best reflect the changes in explanatory variables. The main findings are as follows: (1) the statistical model applied in this study can well evaluate the impacts of ISM; (2) the implementation of ISM can significantly reduce the concentrations of SO2, CO, and NO2, but the improvements for PM2.5, PM10, GAD and O-3_8H were not significant. (3) the potential for air quality improvement due to ISM tends to be reduced over time, and thus the positive effects of ISM at its second stage were not increased significantly compared with those observed during its first stage. In general, those results not only demonstrate the effectiveness of ISM on air quality improvement, but also provide insights into how the ISM can be optimized to gain a sustained improvement of the ambient air quality in the future. Implications: As a policy measure implemented by the Chinese government, the Intensive Supervision Mechanism (ISM) has significantly contributed to the improvement of air quality since its execution. However, the potential for air quality improvement due to ISM tends to be reduced over time, and thus the positive effects of ISM at its second stage were not increased significantly compared with those observed during its first stage. In addition, the implementation of ISM requires a large amount of financial investment, and thus has limited sustainability. Considering the increased difficulty of this policy instrument, whether to insist on the ISM warrants further analyses on its cost and effectiveness. More importantly, more targeted measures of ISM should be applied to decrease the ozone concentration in the future.
DOI10.1080/10962247.2021.1906354
WOS KeywordOZONE POLLUTION ; HEALTH
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2018YFC0213706] ; National Social Science Fund of China[20BJY086] ; Air Heavy Pollution Cause and Control Project of China[DQGG05039] ; China Three Gorges Corporation[201903160]
Funding OrganizationNational Key R&D Program of China ; National Social Science Fund of China ; Air Heavy Pollution Cause and Control Project of China ; China Three Gorges Corporation
WOS Research AreaEngineering ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEngineering, Environmental ; Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000673051100001
PublisherTAYLOR & FRANCIS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163742
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Peng; Wu, Liang
Affiliation1.Minist Ecol & Environm Peoples Republ China, Policy Res Ctr Environm & Econ, Beijing 100029, Peoples R China
2.Minist Ecol & Environm Peoples Republ China, Policy Res Ctr Environm & Econ, Res Ctr Environm & Ecol Strateg Planning & Reg De, Beijing, Peoples R China
3.Nankai Univ, Coll Environm Sci & Engn, Tianjin, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Min,Wang, Yu,Feng, Xiangzhao,et al. The effects of Intensive Supervision Mechanism on air quality improvement in China[J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION,2021:12.
APA Wang, Min.,Wang, Yu.,Feng, Xiangzhao.,Zhao, Mengxue.,Du, Xiaolin.,...&Wu, Liang.(2021).The effects of Intensive Supervision Mechanism on air quality improvement in China.JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION,12.
MLA Wang, Min,et al."The effects of Intensive Supervision Mechanism on air quality improvement in China".JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2021):12.
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