Italian urban tourism predictions using the holiday Climate Index

Matteo Mazzarano, Giulia Galluccio and Simone Borghesi

Tourism Economics, 2025, vol. 31, issue 4, 631-650

Abstract: The tourism sector is a source of sustenance for local communities, a driver of fiscal revenues and a way to connect local sites to international guests. Its dependence on climate change exposes it to chronic risks such as slowly varying climate patterns. In this paper, we predicted tourism intensity (as the number of beds per square kilometres) according to three Representative Concentration Pathways (RCP) at the municipal level in Italy: 2.6, 4.5 and 8.5. We first estimated a statistical model of tourism intensity using the Holiday Climate Index (HCI) and other drivers. Then, we used the prediction of beds per Km2 to infer changes between 2004 and 2050 according to each RCP scenario of the HCI. We find complex heterogeneous patterns in exposure and a moderate positive effect in the RCP2.6 scenario. However, delayed (RCP4.5) or no climate policy at all (RCP8.5) scenarios present dire consequences for the tourism sector.

Keywords: tourism intensity; linear mixed models; representative concentration pathways; holiday climate index (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:31:y:2025:i:4:p:631-650

DOI: 10.1177/13548166241277858

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