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This paper looks at the effects of International Monetary Fund (IMF) lending programs on banking crises in a large sample of developing countries, over the period 1970-2010. The endogeneity of the IMF intervention is addressed by adopting an instrumental variable strategy and a propensity score matching estimator. Controlling for the standard determinants of banking crises, our results indicate that countries participating in IMF-supported lending programs are significantly less likely to experience a future banking crisis than nonborrowing countries. We also provide evidence suggesting that c

This paper offers a methodological contribution to the empirical analysis of the relationship between banking and economic growth by suggesting a new indicator for the state of development of the banking system based on a measure of bank microeconomic efficiency. This choice helps to overcome the problem of causality and to capture the effects of banks' activity on growth. This new approach is then applied to analyse the relationship between the banking system and economic growth in the Italian regions, through a dynamic panel technique. The empirical results show the existence of an independent effect exerted by the efficiency of banks on regional growth.

AbstractThis paper investigates the effects of a retreat from global economic integration on the European regional production network for the period 2000–2010. We find that production has become increasingly fragmented, although the degree of heterogeneity across regions is substantial. This heterogeneity is also present in the direct and indirect effects of three different deglobalisation scenarios that we simulate. Our results show that deglobalisation generates winners and losers. Specifically, two groups of regions emerge; regions that would benefit from a return to a less integrated world, and regions that would instead gain from a strengthening of the European production network.

PurposeRisk management (RM) is receiving increasing academic and practitioner attention in the public sector. Despite this, there is a lack of systematization of this body of knowledge. The purpose of this paper is to analyze the state of art by examining the knowledge gaps and defining the emerging themes of RM in the public sector to guide future research agendas.Design/methodology/approachThe authors conducted a structured literature review (SLR). They analyzed 63 papers, by using Scopus database, published from 1990 to 2018. All papers were categorized and analyzed according to 11 criteria defined by the literature.FindingsResults show that there is an increasing attention to RM with a need for more effort to consolidate research knowledge. Findings also established a lack of theorization, with a limited explanatory capacity of most studies. The paper defined four main areas for future developments to increase the body of knowledge. Namely, RM and managerial systems (i.e. MCSs and performance management), integrating RM systems and the building blocks of RM that the authors identify will also play a role in helping the authors to understand the diffusion of RM within public sector organizations.Originality/valueDespite the increasing attention to RM in the public sector, more research is required. Considering RM in public sector risks to be a "black box", this paper revealed some new insights that could help to analyze better RM in the public sector, to open the black box and to avoid a symbolic use of the RM. In fact, integration with the managerial systems and the strengthening of the building block could help to exploit the potential of RM in the public sector.

This paper investigates the role of the domestic value chain in transmitting the economic impact of Covid-19 lockdown measures. By employing techniques of complex networks analysis and input–output traditional tools, the study identifies those sectors that are key in the complex structure of the Italian supply chain and provides different rankings of the most 'systemically important' industries involved in the Covid-19 lockdown. The results suggest that by stopping the production process of many key sectors, the lockdown has led to a drop in input and output that, in turn, has generated a lock of about 52% of total circulating value added, 30% of which has been locked within indirect value chains. Further, by adding sectoral physical proximity indexes to the scenarios analysis, the method developed here provides a tool to guide governments in designing safe and efficient reopening policies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40812-020-00164-9) contains supplementary material, which is available to authorized users.