Series 14 Vol 3 No 2 (2020)
Articoli

Pattern regionali e demografici del Covid-19 durante la prima ondata pandemica in Italia. Proposta di uno studio pilota per l’applicazione della metodologia shift-share alla dinamica delle infezioni

Francesca Silvia Rota
IRCrES, l'Istituto di Ricerca sulla Crescita Economica Sostenibile
Marco Bagliani
Università degli Studi di Torino
Paolo Feletig
IRES Piemonte, Istituto di Ricerche Economiche e Sociali

Published 2021-07-28

Keywords

  • COVID-19,
  • age structure,
  • registered infections,
  • shift-share,
  • Italian regions

How to Cite

Rota, F. S., Bagliani, M., & Feletig, P. (2021). Pattern regionali e demografici del Covid-19 durante la prima ondata pandemica in Italia. Proposta di uno studio pilota per l’applicazione della metodologia shift-share alla dinamica delle infezioni. Bollettino Della Società Geografica Italiana, 3(2), 25-38. https://doi.org/10.36253/bsgi-1153

Abstract

The paper presents the experimental attempt to apply the shift-share decomposition technique, mainly used in the economic field to analyse regional differentials, to the growth dynamics of infections during the first wave of the COVID-19 pandemic. Through a partial readjustment of the initial formulations of this technique, the regional patterns of the spread of the infections in Italy are analysed, taking into account the influence exercised by the demographic characteristics (age composition) of the region. In this reformulation, the shift-share analysis (SSA) allows to break down the daily variation of COVID-19 cases according to four effects resulting from: the distribution of the population by age groups (measured through the demographic and allocative effects), the tendency of the regional dynamics to follow the trend of the nation (measured by the national effect) and the rising of specific local dynamics (measured by the local effect). The application of our proposed reformulation studies the diffusion of infections in the Italian regions between March 9 and May 20, 2020, highlighting strengths and weaknesses of the methodology, offering ideas for further development and refinements to use SSA for applications in extra-economic realms (demographic, epidemiologic etc.), fruitfully. For example, the choice of the Italian case study was detrimental to the quality of the results obtained, since in Italy the population’s age distribution tends to be similar. For this reason, at the end of our study, it is suggested the opportunity to test the robustness of the proposed method using as case study other European nations (for example, France, Spain or Germany) characterised by more significant heterogeneity of the regional population than Italy.