IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p3255-d521466.html
   My bibliography  Save this article

What Are the Reasons for the Different COVID-19 Situations in Different Cities of China? A Study from the Perspective of Population Migration

Author

Listed:
  • Yanting Zheng

    (School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China
    Beijing Key Lab of Study on SCI-TECH Strategy for Urban Green Development, Beijing 100875, China)

  • Jinyuan Huang

    (School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Qiuyue Yin

    (School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

Abstract

Understanding the reasons for the differences in the spread of COVID-19 in different cities of China is important for future epidemic prevention and control. This study analyzed this issue from the perspective of population migration from Wuhan (the epicenter of the COVID-19 outbreak in China). It reveals that population outflow from Wuhan to other cities in Hubei Province (the province where Wuhan is located) and metropolises and provincial capitals outside of Hubei province exceeded those to other cities. This is broadly consistent with the distribution of confirmed COVID-19 cases. Additionally, model analysis revealed that population outflow from Wuhan was the key factor that determined the COVID-19 situations. The spread of COVID-19 was positively correlated with GDP per capita and resident population and negatively correlated with the distance from Wuhan and the number of hospital beds, while population density was not a strong influential factor. Additionally, the demographic characteristics of population migration from Wuhan also affected the virus transmission. Particularly, businesspeople (who tend to have a high frequency of social activities) were more likely to spread COVID-19. This study indicated that specific measures to control population outflow from the epicenter at the early stage of the epidemic were of great significance.

Suggested Citation

  • Yanting Zheng & Jinyuan Huang & Qiuyue Yin, 2021. "What Are the Reasons for the Different COVID-19 Situations in Different Cities of China? A Study from the Perspective of Population Migration," IJERPH, MDPI, vol. 18(6), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3255-:d:521466
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/3255/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/6/3255/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Choujun Zhan & Chi K Tse & Yuxia Fu & Zhikang Lai & Haijun Zhang, 2020. "Modeling and prediction of the 2019 coronavirus disease spreading in China incorporating human migration data," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.
    2. Yi-Tui Chen & Yung-Feng Yen & Shih-Heng Yu & Emily Chia-Yu Su, 2020. "An Examination on the Transmission of COVID-19 and the Effect of Response Strategies: A Comparative Analysis," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
    3. Shaojun Luo & Flaviano Morone & Carlos Sarraute & Matías Travizano & Hernán A. Makse, 2017. "Inferring personal economic status from social network location," Nature Communications, Nature, vol. 8(1), pages 1-7, August.
    4. Changyu Fan & Linping Liu & Wei Guo & Anuo Yang & Chenchen Ye & Maitixirepu Jilili & Meina Ren & Peng Xu & Hexing Long & Yufan Wang, 2020. "Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study," IJERPH, MDPI, vol. 17(5), pages 1-27, March.
    5. Shirui Liu & Yaochen Qin & Zhixiang Xie & Jingfei Zhang, 2020. "The Spatio-Temporal Characteristics and Influencing Factors of Covid-19 Spread in Shenzhen, China—An Analysis Based on 417 Cases," IJERPH, MDPI, vol. 17(20), pages 1-13, October.
    6. Chenjing Fan & Tianmin Cai & Zhenyu Gai & Yuerong Wu, 2020. "The Relationship between the Migrant Population’s Migration Network and the Risk of COVID-19 Transmission in China—Empirical Analysis and Prediction in Prefecture-Level Cities," IJERPH, MDPI, vol. 17(8), pages 1-11, April.
    7. Qiujie Shi & Tao Liu, 2020. "Should internal migrants be held accountable for spreading COVID-19?," Environment and Planning A, , vol. 52(4), pages 695-697, June.
    8. Ibrahim Sirkeci & Mustafa Murat Yucesahin, 2020. "Coronavirus and Migration: Analysis of Human Mobility and the Spread of Covid-19," Migration Letters, Migration Letters, vol. 17(2), pages 1-20, April.
    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. Nadia Yusuf & Lamia Saud Shesha, 2021. "Economic Role of Population Density during Pandemics—A Comparative Analysis of Saudi Arabia and China," IJERPH, MDPI, vol. 18(8), pages 1-18, April.

    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. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    2. 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.
    3. Nano Prawoto & Eko Priyo Purnomo & Abitassha Az Zahra, 2020. "The Impacts of Covid-19 Pandemic on Socio-Economic Mobility in Indonesia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 57-71.
    4. Klaus F. Zimmermann & Gokhan Karabulut & Mehmet Huseyin Bilgin & Asli Cansin Doker, 2020. "Inter‐country distancing, globalisation and the coronavirus pandemic," The World Economy, Wiley Blackwell, vol. 43(6), pages 1484-1498, June.
    5. Hsiao-Yu Yang & Jason Kai Wei Lee, 2021. "The Impact of Temperature on the Risk of COVID-19: A Multinational Study," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    6. Francisco Javier Lacarcel & Raquel Huete, 2023. "Digital communication strategies used by private companies, entrepreneurs, and public entities to attract long-stay tourists: a review," International Entrepreneurship and Management Journal, Springer, vol. 19(2), pages 691-708, June.
    7. Sui Zhang & Minghao Wang & Zhao Yang & Baolei Zhang, 2021. "A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    8. Małgorzata Dudzińska & Marta Gwiaździńska-Goraj & Aleksandra Jezierska-Thöle, 2022. "Social Factors as Major Determinants of Rural Development Variation for Predicting Epidemic Vulnerability: A Lesson for the Future," IJERPH, MDPI, vol. 19(21), pages 1-24, October.
    9. Perrings, Charles & Espinoza, Baltazar, 2021. "Mobility Restrictions and the Control of COVID-19," Ecology, Economy and Society - the INSEE Journal, Indian Society of Ecological Economics (INSEE), vol. 4(01), January.
    10. Giulia Menculini & Francesco Bernardini & Luigi Attademo & Pierfrancesco Maria Balducci & Tiziana Sciarma & Patrizia Moretti & Alfonso Tortorella, 2021. "The Influence of the Urban Environment on Mental Health during the COVID-19 Pandemic: Focus on Air Pollution and Migration—A Narrative Review," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    11. Zoungrana, Tibi Didier & Yerbanga, Antoine & Ouoba, Youmanli, 2022. "Socio-economic and environmental factors in the global spread of COVID-19 outbreak," Research in Economics, Elsevier, vol. 76(4), pages 325-344.
    12. Ghosh, Mousam & Ghosh, Swarnankur & Ghosh, Suman & Panda, Goutam Kumar & Saha, Pradip Kumar, 2021. "Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    13. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda, Center for Open Science.
    14. Ziheng Shangguan & Mark Yaolin Wang & Wen Sun, 2020. "What Caused the Outbreak of COVID-19 in China: From the Perspective of Crisis Management," IJERPH, MDPI, vol. 17(9), pages 1-16, May.
    15. Sorin Cheval & Cristian Mihai Adamescu & Teodoro Georgiadis & Mathew Herrnegger & Adrian Piticar & David R. Legates, 2020. "Observed and Potential Impacts of the COVID-19 Pandemic on the Environment," IJERPH, MDPI, vol. 17(11), pages 1-25, June.
    16. Zhou, Bin & Xu, Xiao-Ting & Liu, Jian-Guo & Xu, Xiao-Ke & Wang, Nianxin, 2019. "Information interaction model for the mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1170-1176.
    17. Chun Li & Jianhua He & Xingwu Duan, 2020. "The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    18. Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    19. Margubur Rahaman & Avijit Roy & Pradip Chouhan & Kailash Chandra Das & Md Juel Rana, 2021. "Risk of COVID-19 Transmission and Livelihood Challenges of Stranded Migrant Labourers during Lockdown in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(3), pages 787-802, September.
    20. Yuqing Long & Yanguang Chen & Yajing Li, 2023. "Multifractal scaling analyses of the spatial diffusion pattern of COVID-19 pandemic in Chinese mainland," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

    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:gam:jijerp:v:18:y:2021:i:6:p:3255-:d:521466. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.