IDEAS home Printed from https://ideas.repec.org/a/bla/rgscpp/v12y2020i6p1027-1045.html
   My bibliography  Save this article

The underlying factors of the COVID‐19 spatially uneven spread. Initial evidence from regions in nine EU countries

Author

Listed:
  • Nikos Kapitsinis

Abstract

The novel coronavirus COVID‐19 was brought to the global spotlight in early 2020 and has already had significant impacts on daily life, while the effects could last for a long period. However, these impacts appear to have been regionally differentiated, since similar to previous pandemics, geography plays an important role in viruses' diffusion. This paper enriches our knowledge about the initial territorial impact of the pandemic, from January to May 2020, studying the spread of COVID‐19 across 119 regional economies in nine EU countries and explaining its underlying factors. Air quality, demographics, global interconnectedness, urbanization trends, historic trends in health expenditure as well as the policies implemented to mitigate the pandemic were found to have influenced the regionally uneven mortality rate of COVID‐19. El reciente coronavirus COVID‐19 se convirtió en el foco de atención mundial a principios de 2020 y ya ha tenido importantes repercusiones en la vida cotidiana, y es posible que sus efectos duren por un largo período. Sin embargo, estos impactos parecen ser diferentes por regiones, ya que, al igual que en pandemias anteriores, la geografía desempeña un papel importante en la difusión de los virus. Este artículo enriquece el conocimiento sobre el impacto territorial inicial de la pandemia entre enero y mayo de 2020, mediante el estudio de la propagación de COVID‐19 en 119 economías regionales de nueve países de la UE y una explicación de sus factores subyacentes. Se comprobó que la calidad del aire, la demografía, la interconexión mundial, las tendencias hacia la urbanización, las tendencias históricas del gasto sanitario y las políticas aplicadas para mitigar la pandemia influyeron en la desigualdad por regiones de la tasa de mortalidad por COVID‐19. 新型コロナウイルス感染症 (COVID‐19)は2020年初頭に世界的な注目を集め、すでに日常生活に大きな影響を与えているが、その影響は長期間持続する可能性がある。しかし、これらの影響は、過去のパンデミックと同様、地理学がウイルスの拡散に重要な役割を果たしおり、地域的な識別が行われているようである。本稿では、2020年の1月から5月の、EUの9か国における119の地域の経済におけるCOVID‐19の拡散を検討し、その基礎となる要因を解明し、パンデミックの初期の地域的影響に関する知識を強化する。大気質、人口統計、グローバル経済の相互関連性、都市化傾向、医療費の歴史的傾向、そしてパンデミックを緩和するために実施された政策が地域的に不均一なCOVID‐19による死亡率に影響を及ぼしたことが認められる。

Suggested Citation

  • Nikos Kapitsinis, 2020. "The underlying factors of the COVID‐19 spatially uneven spread. Initial evidence from regions in nine EU countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1027-1045, December.
  • Handle: RePEc:bla:rgscpp:v:12:y:2020:i:6:p:1027-1045
    DOI: 10.1111/rsp3.12340
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rsp3.12340
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rsp3.12340?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. Andrés Rodríguez‐Pose, 2020. "Institutions and the fortunes of territories," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 371-386, June.
    2. Luis Orea & Inmaculada C. Álvarez, 2020. "How effective has been the Spanish lockdown to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces," Working Papers 2020-03, FEDEA.
    3. Ron Martin & Peter Tyler, 2006. "Evaluating the impact of the structural funds on objective 1 regions: An exploratory discussion," Regional Studies, Taylor & Francis Journals, vol. 40(2), pages 201-210.
    4. Zenou, Yves, 2000. "Urban unemployment, agglomeration and transportation policies," Journal of Public Economics, Elsevier, vol. 77(1), pages 97-133, July.
    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. Andrés Rodríguez‐Pose & Chiara Burlina, 2021. "Institutions and the uneven geography of the first wave of the COVID‐19 pandemic," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 728-752, September.
    2. Bart Roelofs & Dimitris Ballas & Hinke Haisma & Arjen Edzes, 2022. "Spatial mobility patterns and COVID‐19 incidence: A regional analysis of the second wave in the Netherlands," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 21-40, November.
    3. N. A. Kravchenko & A. I. Ivanova, 2021. "Spread of the COVID-19 In Russia: Regional Peculiarities," Regional Research of Russia, Springer, vol. 11(4), pages 428-434, October.
    4. Buja, Alessandra & Paganini, Matteo & Fusinato, Riccardo & Cozzolino, Claudia & Cocchio, Silvia & Scioni, Manuela & Rebba, Vincenzo & Baldo, Vincenzo & Boccuzzo, Giovanna, 2022. "Health and healthcare variables associated with Italy's excess mortality during the first wave of the COVID-19 pandemic: An ecological study," Health Policy, Elsevier, vol. 126(4), pages 294-301.
    5. Eleonora Cutrini & Luca Salvati, 2021. "Unraveling spatial patterns of COVID‐19 in Italy: Global forces and local economic drivers," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 73-108, November.
    6. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    7. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    8. Sebastien Bourdin & Slimane Ben Miled & Jamil Salhi, 2022. "The Drivers of Policies to Limit the Spread of COVID-19 in Europe," JRFM, MDPI, vol. 15(2), pages 1-9, February.
    9. Amna Tariq & Tsira Chakhaia & Sushma Dahal & Alexander Ewing & Xinyi Hua & Sylvia K Ofori & Olaseni Prince & Argita D Salindri & Ayotomiwa Ezekiel Adeniyi & Juan M Banda & Pavel Skums & Ruiyan Luo & L, 2022. "An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 16(3), pages 1-33, March.
    10. Ilyes Boumahdi & Nouzha Zaoujal & Abdellali Fadlallah, 2021. "Is there a relationship between industrial clusters and the prevalence of COVID‐19 in the provinces of Morocco?," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 138-157, November.
    11. Kostas Rontos & Maria-Eleni Syrmali & Luca Salvati, 2021. "Unravelling the Role of Socioeconomic Forces in the Early Stage of COVID-19 Pandemic: A Global Analysis," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    12. Mehmet Güney Celbiş & Pui‐hang Wong & Karima Kourtit & Peter Nijkamp, 2023. "Impacts of the COVID‐19 outbreak on older‐age cohorts in European Labor Markets: A machine learning exploration of vulnerable groups," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(3), pages 559-584, April.
    13. Zahra Dehghan Shabani & Rouhollah Shahnazi, 2020. "Spatial distribution dynamics and prediction of COVID‐19 in Asian countries: spatial Markov chain approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1005-1025, December.
    14. Andree Ehlert & Jan Wedemeier, 2022. "Which factors influence mobility change during COVID‐19 in Germany? Evidence from German county data," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 61-79, November.
    15. Suat Tuysuz & Tüzin Baycan & Fatih Altuğ, 2022. "Economic impact of the COVID-19 outbreak in Turkey: analysis of vulnerability and resilience of regions and diversely affected economic sectors," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1133-1158, October.

    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. Luigi Maria Solivetti, 2020. "Determinants of the coronavirus epidemic generation in Italy," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 74(3-4), pages 5-16, July-Dece.
    2. Jeffrey E. Harris, 2020. "Geospatial Analysis of the September 2020 Coronavirus Outbreak at the University of Wisconsin – Madison: Did a Cluster of Local Bars Play a Critical Role?," NBER Working Papers 28132, National Bureau of Economic Research, Inc.
    3. Javier Barbero & Ernesto Rodríguez-Crespo, 2022. "Technological, institutional, and geographical peripheries: regional development and risk of poverty in the European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 311-332, October.
    4. Mehmet Ronael & Tüzin Baycan, 2022. "Place-based factors affecting COVID-19 incidences in Turkey," Asia-Pacific Journal of Regional Science, Springer, vol. 6(3), pages 1053-1086, October.
    5. Andrés Rodríguez‐Pose & Roberto Ganau & Kristina Maslauskaite & Monica Brezzi, 2021. "Credit constraints, labor productivity, and the role of regional institutions: Evidence from manufacturing firms in Europe," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 299-328, March.
    6. Riccardo regstdcenzi, 2009. "Undermining the Principle of Concentration? European Union Regional Policy and the Socio-economic Disadvantage of European Regions," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 111-133.
    7. Jerzy Bański & Marcin Mazur & Wioletta Kamińska, 2021. "Socioeconomic Conditioning of the Development of the COVID-19 Pandemic and Its Global Spatial Differentiation," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    8. Julien Pascal, 2020. "Search, matching and heterogeneity," Sciences Po publications info:hdl:2441/qqo2oivo980, Sciences Po.
    9. Frédéric Gavrel & Nathalie Georges & Yannick L'Horty & Isabelle Lebon, 2012. "Inadéquation des qualifications et fracture spatiale," Working Papers halshs-00809630, HAL.
    10. Borck, Rainald & Wrede, Matthias, 2005. "Political economy of commuting subsidies," Journal of Urban Economics, Elsevier, vol. 57(3), pages 478-499, May.
    11. Verdier, Thierry & Zenou, Yves, 2017. "The role of social networks in cultural assimilation," Journal of Urban Economics, Elsevier, vol. 97(C), pages 15-39.
    12. Olarte Bacares, Carlos Augusto, 2013. "Impact of urban public transport enhancements on crime rate: a diff-diff analysis for the case of Transmilenio," MPRA Paper 53967, University Library of Munich, Germany, revised 10 Jan 2014.
    13. Atella, Vincenzo & Braione, Manuela & Ferrara, Giancarlo & Resce, Giuliano, 2023. "Cohesion Policy Funds and local government autonomy: Evidence from Italian municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    14. Javier Barbero & Giovanni Mandras & Ernesto Rodríguez-Crespo & Andrés Rodríguez-Pose, 2021. "Quality of government and regional trade: evidence from European Union regions," Regional Studies, Taylor & Francis Journals, vol. 55(7), pages 1240-1251, July.
    15. Samuel Amponsah Odei & Jan Stejskal & Viktor Prokop, 2021. "Understanding territorial innovations in European regions: Insights from radical and incremental innovative firms," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1638-1660, October.
    16. Jacques-François Thisse & Etienne Wasmer & Yves Zenou, 2003. "Ségrégation urbaine, logement et marchés du travail," Revue Française d'Économie, Programme National Persée, vol. 17(4), pages 85-129.
    17. Peng Cui & Ping Zou & Xuan Ju & Yi Liu & Yalu Su, 2022. "Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    18. Torfs, Wouter & Zhao, Liqiu, 2015. "Everybody needs good neighbors? Labor mobility costs, cities and matching," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 39-54.
    19. Torrisi, Gianpiero & Pike, Andy & Tomaney, John & Tselios, Vassilis, 2011. "(Re-)exploring the link between devolution and regional disparities in Italy," MPRA Paper 32212, University Library of Munich, Germany.
    20. Maria Teresa Balaguer‐Coll & Isabel Narbón‐Perpiñá & Jesús Peiró‐Palomino & Emili Tortosa‐Ausina, 2022. "Quality of government and economic growth at the municipal level: Evidence from Spain," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 96-124, January.

    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:bla:rgscpp:v:12:y:2020:i:6:p:1027-1045. 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.blackwellpublishing.com/journal.asp?ref=1757-7802 .

    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.