@article{Fabio:143117,
      recid = {143117},
      author = {Fabio, Farinosi and Carrera, Lorenzo and Maziotis,  Alexandros and Mysiak, Jaroslav and Eboli, Fabio and  Standardi, Gabriele},
      title = {Policy-relevant Assessment Method of Socio-economic  Impacts of Floods: An Italian Case Study},
      address = {2012-11},
      number = {824-2016-54761},
      series = {CCSD},
      pages = {37},
      year = {2012},
      abstract = {This paper estimates the direct and indirect  socio-economic impacts of the 2000 flood that took place in  the Po river basin (Italy)  using a combination of  Computable General Equilibrium (CGE) model and Spatial and  Multi-Criteria Analysis. A risk map for the whole basin is  generated as a function of hazard, exposure and  vulnerability. The indirect economic losses are assessed  using the CGE model, whereas the direct social and economic  impacts are estimated with spatial analysis tools combined  with Multi-Criteria Analysis. The social impact is  expressed as a function of physical characteristics of the  extreme event, social vulnerability and adaptive capacity.  The results indicate that the highest risk areas are  located in the mountainous and in the most populated  portions of the basin, which are consistent with the high  values of hazard and vulnerability. Considerably economic  damages occurred to the critical infrastructure of all the  sectors with the industry/commercial sector having the  biggest impact. A negative variation in the country and  industry Gross Domestic Product (GDP) was also reported.  Our study is of great interest to those who are interested  in estimating the economic impact of flood events. It can  also assist decision makers in pinpointing factors that  threaten the sustainability and stability of a risk-prone  area and more specifically, to help them understand how to  reduce social vulnerability to flood events.},
      url = {http://ageconsearch.umn.edu/record/143117},
      doi = {https://doi.org/10.22004/ag.econ.143117},
}