IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v100y2020i6d10.1007_s10273-020-2674-7.html
   My bibliography  Save this article

Räumliche Ausbreitung von COVID-19 durch interregionale Verflechtungen
[Spatial Interregional Spread of COVID-19 Through Commuter Interdependence]

Author

Listed:
  • Andreas Mense

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

  • Claus Michelsen

    (DIW Berlin)

Abstract

Zusammenfassung Das Coronavirus hat die Weltwirtschaft in eine Krise gestürzt. Seit Anfang März 2020 wurden in Deutschland Kontakt- und Ausgangsbeschränkungen sowie Verbote der Geschäftstätigkeit verhängt, die Schul- und Kitabetreuung ausgesetzt und strenge Hygienevorgaben erlassen. Daraufhin hat sich die Zahl der gemeldeten Neuinfektionen deutlich reduziert. Zudem ist das Gesundheitssystem Deutschlands nicht überlastet. Nicht zuletzt deshalb wird mittlerweile eine intensive Debatte über Lockerungen geführt, die zusätzliche wirtschaftliche Aktivität zulassen würden. Vor allem Pendlerverflechtungen hatten einen großen Anteil an der Ausbreitung von COVID-19 in Deutschland. Schlechte Witterung und eine hohe Bevölkerungsdichte waren weitere Treiber des Infektionsgeschehens.

Suggested Citation

  • Andreas Mense & Claus Michelsen, 2020. "Räumliche Ausbreitung von COVID-19 durch interregionale Verflechtungen [Spatial Interregional Spread of COVID-19 Through Commuter Interdependence]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(6), pages 416-421, June.
    • Handle: RePEc:spr:wirtsc:v:100:y:2020:i:6:d:10.1007_s10273-020-2674-7
    DOI: 10.1007/s10273-020-2674-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-020-2674-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10273-020-2674-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jérôme Adda, 2016. "Economic Activity and the Spread of Viral Diseases: Evidence from High Frequency Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 891-941.
    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. Krenz Astrid & Strulik Holger, 2021. "The benefits of remoteness – digital mobility data, regional road infrastructure, and COVID-19 infections," German Economic Review, De Gruyter, vol. 22(3), pages 257-287, August.
    2. Felix Rösel & Selina Schulze Spüntrup, 2020. "Stadt oder Land – Wer ist stärker von Corona betroffen?," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 27(06), pages 09-11, December.
    3. Marius Clemens & Geraldine Dany-Knedlik & Simon Junker & Claus Michelsen, 2020. "Die Corona-Krise kommt mit Wucht zurück," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(11), pages 896-898, November.
    4. Michael Berlemann & Erik Haustein, 2020. "Right and Yet Wrong: A Spatio-Temporal Evaluation of Germany's Covid-19 Containment Policy," CESifo Working Paper Series 8446, CESifo.
    5. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.

    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. Stefano Ramelli & Alexander F Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
    2. Fidel Pérez-Sebastián & Rafael Serrano-Quintero, 2024. "The Economic Linkages of Covid-19 Across Sectors and Regions in the UK," UB School of Economics Working Papers 2024/465, University of Barcelona School of Economics.
    3. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    4. Houštecká, Anna & Koh, Dongya & Santaeulàlia-Llopis, Raül, 2021. "Contagion at work: Occupations, industries and human contact," Journal of Public Economics, Elsevier, vol. 200(C).
    5. Xiao Chen & Hanwei Huang & Jiandong Ju & Ruoyan Sun & Jialiang Zhang, 2022. "Endogenous cross-region human mobility and pandemics," CEP Discussion Papers dp1860, Centre for Economic Performance, LSE.
    6. Brilli, Ylenia & Lucifora, Claudio & Russo, Antonio & Tonello, Marco, 2020. "Vaccination take-up and health: Evidence from a flu vaccination program for the elderly," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 323-341.
    7. Markowitz, Sara & Nesson, Erik & Robinson, Joshua J., 2019. "The effects of employment on influenza rates," Economics & Human Biology, Elsevier, vol. 34(C), pages 286-295.
    8. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
    9. Chen, Simiao & Jin, Zhangfeng & Bloom, David E., 2020. "Act Early to Prevent Infections and Save Lives: Causal Impact of Diagnostic Efficiency on the COVID-19 Pandemic," IZA Discussion Papers 13749, Institute of Labor Economics (IZA).
    10. Maclean, J. Catherine & Pichler, Stefan & Ziebarth, Nicolas R., 2020. "Mandated Sick Pay: Coverage, Utilization, and Welfare Effects," IZA Discussion Papers 13132, Institute of Labor Economics (IZA).
    11. Cui Zhang & Dandan Zhang, 2023. "Spatial Interactions and the Spread of COVID-19: A Network Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 383-405, June.
    12. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    13. Laliotis, Ioannis & Minos, Dimitrios, 2022. "Religion, social interactions, and COVID-19 incidence in Western Germany," European Economic Review, Elsevier, vol. 141(C).
    14. Ilan Noy & Shunsuke Managi, 2020. "It’s Awful, Why Did Nobody See it Coming?," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 429-430, October.
    15. Stefan Bauernschuster & Timo Hener & Helmut Rainer, 2017. "When Labor Disputes Bring Cities to a Standstill: The Impact of Public Transit Strikes on Traffic, Accidents, Air Pollution, and Health," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 1-37, February.
    16. Amanda Guimbeau & Nidhiya Menon & Aldo Musacchio, 2022. "Short‐ and medium‐run health and literacy impacts of the 1918 Spanish Flu pandemic in Brazil," Economic History Review, Economic History Society, vol. 75(4), pages 997-1025, November.
    17. Abu Bakkar Siddique & Kingsley E. Haynes & Rajendra Kulkarni & Meng-Hao Li, 2023. "Regional poverty and infection disease: early exploratory evidence from the COVID-19 pandemic," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 209-236, February.
    18. Rettl, Daniel A. & Schandlbauer, Alexander & Trandafir, Mircea, 2022. "Employee Health and Firm Performance," IZA Discussion Papers 15147, Institute of Labor Economics (IZA).
    19. Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021. "A data-driven approach to measuring epidemiological susceptibility risk around the world," DEM Working Papers Series 200, University of Pavia, Department of Economics and Management.
    20. Jean-Noël Barrot & Basile Grassi & Julien Sauvagnat, 2020. "Estimating the Costs and Benefits of Mandated Business Closures in a Pandemic," Working Papers hal-02896739, HAL.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:spr:wirtsc:v:100:y:2020:i:6:d:10.1007_s10273-020-2674-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.