Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-251-2026
https://doi.org/10.5194/nhess-26-251-2026
Research article
 | 
19 Jan 2026
Research article |  | 19 Jan 2026

Econometric modelling for estimating direct flood damage to firms: a micro-scale approach using post-event records in Italy

Marta Ballocci, Daniela Molinari, Giovanni Marin, Marta Galliani, Alessio Domeneghetti, Giovanni Menduni, Simone Sterlacchini, and Francesco Ballio

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Short summary
This study estimates flood direct damage to businesses in Italy using 812 damage records from five riverine flood case studies. A multiple regression model predicts economic damage based on business size, water depth, and economic sectors. The results show that damage increases non-proportionally with firm size, while water depth mainly affects stock damage. Healthcare, commercial, and manufacturing sectors are most vulnerable to building, stock, and equipment damage, respectively.
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