No abstract

This paper aims at deriving a ranking for the Italian regions by modelling domestic (interregional) tourist flows, in order to compare their tourism attractiveness. To this aim, a Bradley–Terry modelling approach was used to make pairwise comparisons of competing territories. This approach allows the inclusion of covariates that are, in this case, factors that likely affect domestic tourism flows across competing territories. Consequently, we consider a wide range of determinants within the theoretical framework of destination attractiveness. Furthermore, the empirical findings have been used to assign an attractiveness score to each region on the basis of which a ranking can be done, together with a measure of variability.

The purpose of the paper is the study of tourism competitiveness and its determinants for the almost 8000 Italian municipalities. The partial least squares method is used on secondary data. Competitiveness is a latent factor measured by a number of reflective indicators, and influenced by some latent determinants derived within a formative scheme. The main findings show the importance of competitive advantages as key drivers of tourism competitiveness. Local specialized areas in tourism are identified through the destination competitiveness scores. The work contributes to the study of local competitiveness, also giving evidence on how it is possible to cover the complex feature of tourism competitiveness with secondary data. Moreover, as the municipality is generally the basic territorial unit for identifying specialized local areas, future research can apply these results in drawing a map of Italy with sounder areas for tourism analysis. Main limitations are concerned with the imputation of missing values, as data on tourist flows of smaller municipalities are not released for confidentiality issues. Moreover, the analysis at local level limits the use of some indicators, which are recognized as important determinants of competitiveness (prices of tourist services, transportation costs).

Local labor systems, Agriculture, Censuses, O50, R10,

The aim of this paper is to investigate the economic specialization of the Italian local labor systems (sets of contiguous municipalities with a high degree of selfcontainment of daily commuter travel) by using the Symbolic Data approach, on the basis of data derived from the Census of Industrial and Service Activities. Specifically, the economic structure of a local labor system (LLS) is described by an interval-type variable, a special symbolic data type that allows for the fact that all municipalities within the same LLS do not have the same economic structure.