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

Viewed

Total article views: 3,824 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,949 743 132 3,824 48 121 213
  • HTML: 2,949
  • PDF: 743
  • XML: 132
  • Total: 3,824
  • Supplement: 48
  • BibTeX: 121
  • EndNote: 213
Views and downloads (calculated since 28 Nov 2024)
Cumulative views and downloads (calculated since 28 Nov 2024)

Viewed (geographical distribution)

Total article views: 3,824 (including HTML, PDF, and XML) Thereof 3,816 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 07 May 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint