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Spatial and cross-sectoral input spillover effects: the case of the Italian tourism industry
Silvia Emili1, Federica Galli1
1Department of Statistical Sciences, University of Bologna, P.tta Teatini 10, 47921 Rimini, Italy.
Abstract:
The aim of this paper is to extend the literature on multisectoral industries productivity such as tourism by simultaneously analysing the multidimensional nature of the Italian tourism sector in the period 2011-2020, considering both cross-sectoral and spatial spillover effects. To further improve our analysis, we consider two fundamental features for policy decisions: high spatial detail of analysis and the multipurpose nature of the tourism industry. Empirical findings confirm the hypotheses that the productivity level of the Italian tourism industry depends on its ability to make to most of the different input factors coming from different sectors and on (positive and negative) input spillovers.
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