Giorgio Tassinari –ย Dept. of Statistical Sciences โPaolo Fortunatiโ, Alma Mater Studiorum University of Bologna, Italy
Fabrizio Alboni –ย Dept. of Economics โMarco Biagiโ, University of Modena and Reggio Emilia, Italy
Arianna Tassinari –ย Dept. of Social and Political Sciences, European University Institute, Fiesole, (FI), Italy
Ignazio Drudi –ย Dept. of Statistical Sciences โPaolo Fortunatiโ, Alma Mater Studiorum University of Bologna, Italy
DOI:ย https://doi.org/10.31410/ERAZ.S.P.2020.1
6th International Conference – ERAZ 2020 – KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT,ย Online/virtual, May 21, 2020, SELECTED PAPERS
Published by:ย Association of Economists and Managers of the Balkans – Belgrade, Serbia
Conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance โ Belgrade, Serbia
ISBN 978-86-80194-34-9, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.
Abstract
The diffusion of COVID-19 pandemic among Italian Regions has been very uneven. The
intensity of measures introduced to contrast its spread also shows a high heterogeneity among local
jurisdiction, but this does not correspond, prima facie, with the intensity of the pandemic. What shapes
the stringency of responses across different localities? Various factors could be hypothesised to be at
play: factors related to the intensity of the pandemic, to the political and ideological orientation of governing
authorities, to the models of growth and development characterising regional economic systems,
and to the strength of lobbying groups pushing for more or less stringent responses. To address these
questions, we elaborate a regional stringency index and analyse (using CART regression trees and other
statistical methods) its relationships with some of these factors. The results show that the main driver
of stringency (in an inverse way) is the weight of exports on regional GDP, suggesting that economic
interests and business power might play an important role in shaping political responses to pandemics.
Key words
Covid-19, Lockdown, Business interests.
References
Bellofiore, R. Garibaldo, F (2019), Le dernier metro. Europe and the Edge of the Abyss, Crisis
and Critique, 6, 1, pp. 25-46.
Breiman, Leo; Friedman, J. H.; Olshen, R. A.; Stone, C. J. (1984). Classification and regression
trees. Monterey, CA: Wadsworth & Brooks/Cole Advanced Books & Software. ISBN 978-
0-412-04841-8.
Bulfone, F. and Tassinari, A. (forthcoming) Under pressure. Economic constraints, electoral
politics and labour market reforms in Southern Europe in the crisis decade. European
Journal of Political Research.
Culpepper PD (2010) Quiet Politics and Business Power: Corporate Control in Europe and
Japan. Cambridge: Cambridge University Press.
Perez SA and Matsaganis M (2019) Export or Perish: Can Internal Devaluation Create Enough
Good Jobs in Southern Europe? South European Society and Politics 24(2): 259โ285.
Pritoni A and Sacchi S (2019) Interest Groups and the ยซJobs Actยป: Lobbying with What Effects?
Rivista Italiana di Politiche Pubbliche (2/2019).
Simonazzi, A.M., Ginzburg, C. and Nocella, G. (2013), Economic relations between Germany
and Southern Europe, Cambridge Journal of Economics, 37, 3, pp. 653-675.
Rokach, L. and Maimon, O. (2008), Data mining with decision trees: theory and applications,
World Scientific Pub. Co. Inc.
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