IDEAS home Printed from https://ideas.repec.org/a/wly/envmet/v32y2021i2ne2673.html
   My bibliography  Save this article

Effects of corona virus disease‐19 control measures on air quality in North China

Author

Listed:
  • Xiangyu Zheng
  • Bin Guo
  • Jing He
  • Song Xi Chen

Abstract

Corona virus disease‐19 (COVID‐19) has substantially reduced human activities and the associated anthropogenic emissions. This study quantifies the effects of COVID‐19 control measures on six major air pollutants over 68 cities in North China by a Difference in Relative‐Difference method that allows estimation of the COVID‐19 effects while taking account of the general annual air quality trends, temporal and meteorological variations, and the spring festival effects. Significant COVID‐19 effects on all six major air pollutants are found, with NO2 having the largest decline (−39.6%), followed by PM2.5 (−30.9%), O3 (−16.3%), PM10 (−14.3%), CO (−13.9%), and the least in SO2 (−10.0%), which shows the achievability of air quality improvement by a large reduction in anthropogenic emissions. The heterogeneity of effects among the six pollutants and different regions can be partly explained by coal consumption and industrial output data.

Suggested Citation

  • Xiangyu Zheng & Bin Guo & Jing He & Song Xi Chen, 2021. "Effects of corona virus disease‐19 control measures on air quality in North China," Environmetrics, John Wiley & Sons, Ltd., vol. 32(2), March.
    • Handle: RePEc:wly:envmet:v:32:y:2021:i:2:n:e2673
    DOI: 10.1002/env.2673
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/env.2673
    Download Restriction: no
    File URL: https://libkey.io/10.1002/env.2673?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    2. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    3. Yating Wan & Minya Xu & Hui Huang & Song Xi Chen, 2021. "A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing," Environmetrics, John Wiley & Sons, Ltd., vol. 32(1), February.
    4. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lauren Hoskovec & Sheena Martenies & Tori L. Burket & Sheryl Magzamen & Ander Wilson, 2022. "Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes," Environmetrics, John Wiley & Sons, Ltd., vol. 33(7), November.
    2. Daniel Cirkovic & Thomas J. Fisher, 2021. "On testing for the equality of autocovariance in time series," Environmetrics, John Wiley & Sons, Ltd., vol. 32(7), November.
    3. Ying Zhang & Song Xi Chen & Le Bao, 2023. "Air pollution estimation under air stagnation—A case study of Beijing," Environmetrics, John Wiley & Sons, Ltd., vol. 34(6), September.
    4. Hongya Niu & Chongchong Zhang & Wei Hu & Tafeng Hu & Chunmiao Wu & Sihao Hu & Luis F. O. Silva & Nana Gao & Xiaolei Bao & Jingsen Fan, 2022. "Air Quality Changes during the COVID-19 Lockdown in an Industrial City in North China: Post-Pandemic Proposals for Air Quality Improvement," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    5. Guido Fioravanti & Michela Cameletti & Sara Martino & Giorgio Cattani & Enrico Pisoni, 2022. "A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown," Environmetrics, John Wiley & Sons, Ltd., vol. 33(4), June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William Torous & Florian Gunsilius & Philippe Rigollet, 2021. "An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences," Papers 2108.05858, arXiv.org, revised Mar 2024.
    2. Mattias Brachert & Walter Hyll, 2014. "On the Stability of Preferences: Repercussions of Entrepreneurship on Risk Attitudes," SOEPpapers on Multidisciplinary Panel Data Research 667, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. Felicitas Schikora, 2019. "The Effect of Initial Placement Restrictions on Refugees' Language Acquisition in Germany," SOEPpapers on Multidisciplinary Panel Data Research 1035, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Jason Poulos & Andrea Albanese & Andrea Mercatanti & Fan Li, 2021. "Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment," Papers 2106.00788, arXiv.org.
    6. Ting Ye & Ashkan Ertefaie & James Flory & Sean Hennessy & Dylan S. Small, 2023. "Instrumented difference‐in‐differences," Biometrics, The International Biometric Society, vol. 79(2), pages 569-581, June.
    7. Daria Loginova & Marco Portmann & Martin Huber, 2021. "Assessing the Effects of Seasonal Tariff‐rate Quotas on Vegetable Prices in Switzerland," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 607-627, June.
    8. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    9. Bossler, Mario & Gürtzgen, Nicole & Lochner, Benjamin & Betzl, Ute & Feist, Lisa & Wegmann, Jakob, 2018. "Auswirkungen des gesetzlichen Mindestlohns auf Betriebe und Unternehmen," IAB-Forschungsbericht 201804, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    11. Agovino, M. & Casaccia, M. & Crociata, A. & Sacco, P.L., 2019. "European Regional Development Fund and pro-environmental behaviour. The case of Italian separate waste collection," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 36-50.
    12. Vikström, Johan, 2009. "Cluster sample inference using sensitivity analysis: the case with few groups," Working Paper Series 2009:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Robert Neumann, 2019. "The framing of charitable giving: A field experiment at bottle refund machines in Germany," Rationality and Society, , vol. 31(1), pages 98-126, February.
    14. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.
    15. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2015. "Taxes on the Internet: Deterrence Effects of Public Disclosure," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 36-62, February.
    16. Massimiliano Agovino & Mariaconcetta Casaccia & Alessandro Crociata, 2017. "Effectiveness and efficiency of European Regional Development Fund on separate waste collection: evidence from Italian regions by a stochastic frontier approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(1), pages 105-137, April.
    17. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
    18. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    19. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    20. Filiz Gülal & Adam Ayaita, 2020. "The Impact of Minimum Wages on Well-Being: Evidence from a Quasi-experiment in Germany," Journal of Happiness Studies, Springer, vol. 21(7), pages 2669-2692, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:envmet:v:32:y:2021:i:2:n:e2673. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1180-4009/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.