Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-251-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-251-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2026
Research article |
| 19 Jan 2026
| 19 Jan 2026
Econometric modelling for estimating direct flood damage to firms: a micro-scale approach using post-event records in Italy
Marta Ballocci
CORRESPONDING AUTHOR
University School for Advanced Studies, Pavia, Italy
Daniela Molinari
Dept. of Civil and Environmental Engineering DICA, Politecnico di Milano, Milano, Italy
Giovanni Marin
Department of Economics, Society, Politics, University of Urbino “Carlo Bo”, via Aurelio Saffi, 2, 61029 Urbino, Italy
Marta Galliani
University School for Advanced Studies, Pavia, Italy
Alessio Domeneghetti
Dept. of Civil, Chemical, Environmental and Materials Engineering, Alma Mater Studiorum – University of Bologna, Bologna, Italy
Giovanni Menduni
Dept. of Civil and Environmental Engineering DICA, Politecnico di Milano, Milano, Italy
Simone Sterlacchini
Institute of Environmental Geology & Geoengineering, National Research Council of Italy, Milano, Italy
Francesco Ballio
Dept. of Civil and Environmental Engineering DICA, Politecnico di Milano, Milano, Italy
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Panagiotis Asaridis and Daniela Molinari
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Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
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To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
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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.
This study estimates flood direct damage to businesses in Italy using 812 damage records from...
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