The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Air quality improvements and health benefits from China’s clean air action since 2013
Open accessAbstract
Aggressive emission control measures were taken by the Chinese government after the promulgation of the 'Air Pollution Prevention and Control Action Plan' in 2013. Here we evaluated the air quality and health benefits associated with this stringent policy during 2013–2015 by using surface PM 2.5 concentrations estimated from a three-stage data fusion model and cause-specific integrated exposure–response functions. The population-weighted annual mean PM 2.5 concentrations decreased by 21.5% over China during 2013–2015, reducing from 60.5 in 2013 to 47.5 μg m −3 in 2015. Subsequently, the national PM 2.5 -attributable mortality decreased from 1.22 million (95% CI: 1.05, 1.37) in 2013 to 1.10 million (95% CI: 0.95, 1.25) in 2015, which is a 9.1% reduction. The limited health benefits compared to air quality improvements are mainly due to the supralinear responses of mortality to PM 2.5 over the high concentration end of the concentration–response functions. Our study affirms the effectiveness of China's recent air quality policy; however, due to the nonlinear responses of mortality to PM 2.5 variations, current policies should remain in place and more stringent measures should be implemented to protect public health.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30505-6 · Cited by 6,583
Burnett, R. T., Pope, C. A., Ezzati, M., Olives, C., Lim, S. S., Mehta, S., Shin, H. H., Singh, G., Hubbell, B., Brauer, M., et al. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307049 · Cited by 1,901
Addressing Global Mortality from Ambient PM2.5
Apte, J. S., Marshall, J. D., Cohen, A. J., & Brauer, M. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01236 · Cited by 995
Fine particulate matter (PM2.5) in China at a city level
Zhang, Y.-L., & Cao, F. (2015) · Scientific Reports · doi:10.1038/srep14884 · Cited by 921
Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China
Kan, H., London, S. J., Chen, G., Zhang, Y., Song, G., Zhao, N., Jiang, L., & Chen, B. (2007) · Environment International · doi:10.1016/j.envint.2006.12.001 · Cited by 339
Cited by
Drivers of PM2.5 air pollution deaths in China 2002–2017
Geng, G., Zheng, Y., Zhang, Q., Xue, T., Zhao, H., Tong, D., Zheng, B., Li, M., Liu, F., Hong, C., et al. (2021) · Nature Geoscience · doi:10.1038/s41561-021-00792-3 · Cited by 477
Self-citationHalf the world’s population are exposed to increasing air pollution
Shaddick, G., Thomas, M. L., Mudu, P., Ruggeri, G., & Gumy, S. (2020) · npj Climate and Atmospheric Science · doi:10.1038/s41612-020-0124-2 · Cited by 428
Cheng, J., Su, J., Cui, T., Li, X., Dong, X., Sun, F., Yang, Y., Tong, D., Zheng, Y., Li, Y., et al. (2019) · Atmospheric Chemistry and Physics · doi:10.5194/acp-19-6125-2019 · Cited by 437
Self-citationXue, T., Zheng, Y., Geng, G., Xiao, Q., Meng, X., Wang, M., Li, X., Wu, N., Zhang, Q., & Zhu, T. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c03098 · Cited by 285
Self-citationDing, D., Xing, J., Wang, S., Liu, K., & Hao, J. (2019) · Environmental Health Perspectives · doi:10.1289/ehp4157 · Cited by 267
Metadata
- Authors
- Zheng, Y., Xue, T., Zhang, Q., Geng, G., Tong, D., Li, X., & He, K.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2017-11-01
- Volume
- 12
- Issue
- 11
- Pages
- 114020
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2766335895
- Cited by
- 296
- References
- 5
- FWCI
- 14.89
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Air quality improvements and health benefits from China’s clean air action since 2013. https://app.cochat.ai/papers/10.1088/1748-9326/aa8a32
- The paper
- Zheng, Y., Xue, T., Zhang, Q., Geng, G., Tong, D., Li, X., & He, K. (2017). Air quality improvements and health benefits from China’s clean air action since 2013. Environmental Research Letters. https://doi.org/10.1088/1748-9326/aa8a32
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.