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Spatial analysis of determinants affecting+ the total number of Covid-19 cases of provinces in Turkey

Author

Listed:
  • Serkan Cahit Dinç

    (Sivas Cumhuriyet University, Sivas, Turkey)

  • Necati Alp Erilli

    (Sivas Cumhuriyet University, Sivas, Turkey)

Abstract

The Covid-19 which is accepted as a pandemic by the World Health Organisation, has created a global panic effect all over the world. To stop this epidemic, in which more than 4 million people died as of July 2021, researches are being carried out on all kinds of issues related to the disease. In this study, a spatial econometric analysis of the determinants of the total number of Covid-19 cases in the provinces in Turkey between February 8, 2021, and May 7, 2021, was conducted. The existence of spatial autocorrelation was investigated through the Moran I test, and as a result, the Spatial Lagged Model (SAR) was found to be the most appropriate model. According to the results of the spatial analysis, it has been determined that the change in the total number of cases in a province will be in the same direction in the neighboring provinces of that province. A spatial interaction finding was obtained between the provinces and a significant and positive relationship was found between the total number of Covid-19 cases and the population density and the number of people over the age of sixty. Similarly, a significant and negative relationship was found with the average temperature and the total number of healthcare workers, and no significant relationship was found with the literacy rate

Suggested Citation

  • Serkan Cahit Dinç & Necati Alp Erilli, 2022. "Spatial analysis of determinants affecting+ the total number of Covid-19 cases of provinces in Turkey," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 102-116.
    • Handle: RePEc:ris:apltrx:0441
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    References listed on IDEAS

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    1. Samuelsson, Karl & Barthel, Stephan & Colding, Johan & Macassa, Gloria & Giusti, Matteo, 2020. "Urban nature as a source of resilience during social distancing amidst the coronavirus pandemic," OSF Preprints 3wx5a, Center for Open Science.
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    4. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    5. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, December.
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    Keywords

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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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