This papers aims to identify and explain the differences in information and communications technologies (ICT) adoption for a sample of 142 developed and developing countries. In addition, we examine the relationships between specific combinations of technologies and the factors explaining them. Although income is a key factor for all country groups, its role is more significant for middle-digitalization countries. Using several multivariate techniques, we detect different patterns of digitalization. The patterns are explained to differing degrees by the type of country, by differences in economic development, and by socio-demographic and institutional variables. Factors such as quality of regulation and infrastructure explain ICT adoption in high-income countries. The ICT combination associated with specific income groups as well as the explanatory variables detected for each of them might be useful to implement the most appropriate policy actions to reduce the digital divide
In a context of stagnation of the level of health-enhancing physical activity in Europe, this study examines the geographical stratification of sports participation and physical activity (PA) at the regional level in 28 European countries. While previous research has focused on the national approach, this study considers the regional level across 208 European regions. Individual survey data from the Eurobarometer 80.2 is combined with a regional-level approach to the 208 regions to quantify sports participation and PA at the regional level. The results show important differences and a geographical stratification of sports participation and PA among the European regions, albeit following different patterns. In particular, a north-south gap is identified in terms of PA rates and an east-west gap is detected in terms of sports participation levels. Applying the cluster technique, a taxonomy of four different European regions is developed considering both types of indicators. Finally, the existence of sports spatial spillovers among regions is verified, obtaining a positive autocorrelation among neighbouring regions for being involved in PA and sporting activities. The results may have significant implications in terms of policy measures to improve health through PA and sports participation at the regional level in Europe.
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