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The paper aims at investigating the impact of the Great Recession on per capita GDP convergence process across European regions and countries. Using the time-varying factor model developed by Phillips and Sul for the period 2000-2015 and two different merging procedures to identify clubs, we provide evidence of the diverging impact of the Great Recession "between" the higher and the lower convergence clubs at both regional and country levels as well as of the strengthening of the convergence process "within" most clubs. In addition, we add further evidence to the common belief of a "multi-speed" Europe by contrasting Eastern European countries' and regions' behavior visà-vis original European members' one, and by identifying the factors that affect club membership and resilience to the recent economic downturn. We find that the membership in the higher clubs and resilience to the Great Recession are positively affected by the presence of several local-specific factors and macroeconomic characteristics.

Air transport is an essential component of the tourism industry, and the number, frequency, and capacity of flight connections may influence the level of tourism demand, especially for island destinations. This paper evaluates the influence of air transport on tourism arrivals to selected islands in seven southern European Union countries to determine the nature of the relationship between tourist arrivals and air transport, specifically, whether air transport services generate tourism demand or merely enable touristic flows. The paper uses panel data and applies an econometric model with justifications for endogeneity and dynamic issues. Results show a moderate impact of transport infrastructures on generating additional tourist arrivals; however, the model shows that air transport is a prerequisite to developing tourism demand and is not the only determinant in increasing tourist arrivals. Tourist arrivals appear more a determinant than a consequence of changes in-flight connections.

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This paper analyses the differential impact of several territorial determinants of the economic performance of Italian provinces (NUTS 3 level). as measured by per capita GDP, export and employment growth from 1999 to 2014. It covers both the pre‐crisis and the crisis period and stresses the role of geographical proximity in shaping local performance over a wide set of explanatory variables. In order to do so, we employ, firstly, a spatial Durbin model which enables us to discriminate between direct and indirect effects and to highlight the possible contagion or crowding‐out spatial effects for each territorial dimension affecting growth. Then, we extend the analysis by allowing for the possibility of two regimes (pre‐crisis and post‐crisis). The performance of the provinces before and during the crisis relates to specific territorial components and geographic proximity appears to influence differently the results and their interpretation.