Articles | Volume 18, issue 19
https://doi.org/10.5194/acp-18-14433-2018
https://doi.org/10.5194/acp-18-14433-2018
Research article
 | 
09 Oct 2018
Research article |  | 09 Oct 2018

Assessment of the pollution–health–economics nexus in China

Yang Xia, Dabo Guan, Jing Meng, Yuan Li, and Yuli Shan

Related authors

Energy-related CO2 emission accounts and datasets for 40 emerging economies in 2010–2019
Can Cui, Shuping Li, Weichen Zhao, Binyuan Liu, Yuli Shan, and Dabo Guan
Earth Syst. Sci. Data, 15, 1317–1328, https://doi.org/10.5194/essd-15-1317-2023,https://doi.org/10.5194/essd-15-1317-2023, 2023
Short summary
Evaluating China's fossil-fuel CO2 emissions from a comprehensive dataset of nine inventories
Pengfei Han, Ning Zeng, Tom Oda, Xiaohui Lin, Monica Crippa, Dabo Guan, Greet Janssens-Maenhout, Xiaolin Ma, Zhu Liu, Yuli Shan, Shu Tao, Haikun Wang, Rong Wang, Lin Wu, Xiao Yun, Qiang Zhang, Fang Zhao, and Bo Zheng
Atmos. Chem. Phys., 20, 11371–11385, https://doi.org/10.5194/acp-20-11371-2020,https://doi.org/10.5194/acp-20-11371-2020, 2020
Short summary
Variations of China's emission estimates: response to uncertainties in energy statistics
Chaopeng Hong, Qiang Zhang, Kebin He, Dabo Guan, Meng Li, Fei Liu, and Bo Zheng
Atmos. Chem. Phys., 17, 1227–1239, https://doi.org/10.5194/acp-17-1227-2017,https://doi.org/10.5194/acp-17-1227-2017, 2017
Short summary
CO2 emissions inventory of Chinese cities
Yuli Shan, Dabo Guan, Jianghua Liu, Zhu Liu, Jingru Liu, Heike Schroeder, Yang Chen, Shuai Shao, Zhifu Mi, and Qiang Zhang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-176,https://doi.org/10.5194/acp-2016-176, 2016
Revised manuscript not accepted
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Measurement report: Source attribution and estimation of black carbon levels in an urban hotspot of the central Po Valley – an integrated approach combining high-resolution dispersion modelling and micro-aethalometers
Giorgio Veratti, Alessandro Bigi, Michele Stortini, Sergio Teggi, and Grazia Ghermandi
Atmos. Chem. Phys., 24, 10475–10512, https://doi.org/10.5194/acp-24-10475-2024,https://doi.org/10.5194/acp-24-10475-2024, 2024
Short summary
Microphysical modelling of aerosol scavenging by different types of clouds: description and validation of the approach
Pascal Lemaitre, Arnaud Quérel, Alexis Dépée, Alice Guerra Devigne, Marie Monier, Thibault Hiron, Chloé Soto Minguez, Daniel Hardy, and Andrea Flossmann
Atmos. Chem. Phys., 24, 9713–9732, https://doi.org/10.5194/acp-24-9713-2024,https://doi.org/10.5194/acp-24-9713-2024, 2024
Short summary
Insights into the sources of ultrafine particle numbers at six European urban sites obtained by investigating COVID-19 lockdowns
Alex Rowell, James Brean, David C. S. Beddows, Tuukka Petäjä, Máté Vörösmarty, Imre Salma, Jarkko V. Niemi, Hanna E. Manninen, Dominik van Pinxteren, Thomas Tuch, Kay Weinhold, Zongbo Shi, and Roy M. Harrison
Atmos. Chem. Phys., 24, 9515–9531, https://doi.org/10.5194/acp-24-9515-2024,https://doi.org/10.5194/acp-24-9515-2024, 2024
Short summary
In-plume and out-of-plume analysis of aerosol–cloud interactions derived from the 2014–2015 Holuhraun volcanic eruption
Amy H. Peace, Ying Chen, George Jordan, Daniel G. Partridge, Florent Malavelle, Eliza Duncan, and Jim M. Haywood
Atmos. Chem. Phys., 24, 9533–9553, https://doi.org/10.5194/acp-24-9533-2024,https://doi.org/10.5194/acp-24-9533-2024, 2024
Short summary
Impacts of atmospheric circulation patterns and cloud inhibition on aerosol radiative effect and boundary layer structure during winter air pollution in Sichuan Basin, China
Hua Lu, Min Xie, Bingliang Zhuang, Danyang Ma, Bojun Liu, Yangzhihao Zhan, Tijian Wang, Shu Li, Mengmeng Li, and Kuanguang Zhu
Atmos. Chem. Phys., 24, 8963–8982, https://doi.org/10.5194/acp-24-8963-2024,https://doi.org/10.5194/acp-24-8963-2024, 2024
Short summary

Cited articles

Bradley, C. J., Neumark, D., Luo, Z., and Schenk, M.: Employment and cancer: findings from a longitudinal study of breast and prostate cancer survivors, Cancer Invest., 25, 47–54, 2007.
Cho, S., Gordon, P., Moore II, J. E., Richardson, H. W., Shinozuka, M., and Chang, S.: Integrating transportation network and regional economic models to estimate the costs of a large urban earthquake, J. Regional Sci., 41, 39–65, 2001.
Crowther K. G. and Haimes Y. Y.: Application of the inoperability input–output model (IIM) for systemic risk assessment and management of interdependent infrastructures, Syst. Eng., 8, 323–341, 2005.
Feng, K., Davis, S. J., Sun, L., Li, X., Guan, D., Liu, W., Liu, Z., and Hubacek, K.: Outsourcing CO2 within China, P. Natl. Acad. Sci. USA, 110, 11654–11659, 2013.
Download
Short summary
Economic loss from disease-induced working time loss reached CNY 398 billion in China 2012. Most is from Eastern and Mid-South China. Mid-South, North, and Eastern China showed most indirect loss. Indirect loss in North, Northwest, and Southwest China is from manufacturing and energy from other regions, while loss in Eastern, Mid-South, and Northeast China is from coal and mining, implying the role of distance in regional links and varied regional loss due to different economic dependencies.
Altmetrics
Final-revised paper
Preprint