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A Public–Private Insurance Model for Disaster Risk Management: An Application to Italy

Author

Listed:
  • Selene Perazzini

    (University of Brescia)

  • Giorgio Gnecco

    (IMT School for Advanced Studies Lucca)

  • Fabio Pammolli

    (Politecnico di Milano)

Abstract

This paper proposes a public–private insurance model for earthquakes and floods in Italy in which the insurer and the government co-operate in risk financing. Our model departs from the existing literature by describing an insurance scheme intended to relieve the financial burden that natural events place on governments, while at the same time assisting individuals and protecting the insurance business. Hence, the business aims at maximizing social welfare rather than profits. Given the limited amount of data available on natural risks, expected losses per individual are estimated through risk-modeling. In order to evaluate the insurer’s loss profile, spatial correlation among insured assets is included. Our findings suggest that, when not supported by the government, private insurance might either financially over-expose the insurer or set premiums so high that individuals would fail to purchase policies. This evidence is stronger for earthquake risks, but it is considerable for floods too. We found that jointly managing the two perils alleviates the burden on public capitals by lowering the amount of capitals required and by keeping the probability of additional capital injections into the insurance reserves relatively low.

Suggested Citation

  • Selene Perazzini & Giorgio Gnecco & Fabio Pammolli, 2024. "A Public–Private Insurance Model for Disaster Risk Management: An Application to Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(1), pages 225-267, March.
  • Handle: RePEc:spr:italej:v:10:y:2024:i:1:d:10.1007_s40797-022-00210-6
    DOI: 10.1007/s40797-022-00210-6
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    More about this item

    Keywords

    Disaster risk management; Insurance; Earthquakes; Floods; Italy;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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