GIUSEPPE ARCURI

Covid-19 : analyse spatiale de l’influence des facteurs socio-économiques sur la prévalence et les conséquences de l’épidémie dans les départements français

Mounir Amdaoud, Giuseppe Arcuri, Nadine Levratto

Abstract

This paper analyses the socio-economic determinants of hospitalizations and death rates related to Covid-19 on the one hand, and the excess mortality observed this year compared to previous ones, on the other. It proposes a territorial approach to these questions thanks to the use of data calculated at the French departments level. The exploratory spatial analysis carried out reveals the heterogeneity and spatial autocorrelation of the disease and its consequences. The use of spatial econometric models, then, allows us to highlight the influence of demographic density, social inequalities, part of blue-collars in the active population and emergency services on the studied phenomena.

Mot(s) clé(s)

Covid-19, local variables, spatial analysis

Firm soundness and knowledge externalities: a comparative regional analysis

Lara Abdel Fattah, Giuseppe Arcuri, Aziza Garsaa, Nadine Levratto

Abstract

This paper investigates the role of regional context with regard to human capital and knowledge spillover effects in SMEs’ financial soundness. Our empirical setting is based on the multilevel analysis for panel data, which better allows for the treatment of hierarchical data. It is applied to firms belonging to the industrial sector and operating in four European countries over the 2010–2015 period. We find that a combination of individual- and regional-level characteristics explain firm soundness more accurately than individual features alone. Furthermore, we find that a higher local educational level and knowledge spillover improve the firm soundness.

Mot(s) clé(s)

Entreprise et territoire, capital humain, robustesse financière de l'entreprise, modèle multiniveau

New firms’ bankruptcy: does local banking market matter?

Giuseppe Arcuri, Nadine Levratto

Abstract

This paper investigates the role of local context, with regard to the effect of local financial development and banking concentration, on a new firm’s probability of bankruptcy. Our empirical setting is based on the Logit Multilevel Model that better allows the treatment of data referring to different levels of aggregation (firm and local variables) applied to new firms located in Italian provinces. We find that a higher level of financial development in a province decreases the likelihood of a new firm’s bankruptcy. This result is robust considering a 2SLS regression in which we use instruments for the local financial development and for the concentration of bank branches. In addition, our estimations suggest that the effect of local financial development and bank concentration is shaped by size. Local financial development is particularly significant for small start-ups, which traditionally suffer from great difficulty in accessing credit, whereas local banking concentration reduces the probability of bankruptcy for large, new firms.

Mot(s) clé(s)

Probability of bankruptcy, new firms, multilevel model, local banking structure.