A GIS-based model for multiscale forest insurance analysis: The Italian case study

Sandro Sacchelli, Maria Cipollaro and Sara Fabbrizzi

Forest Policy and Economics, 2018, vol. 92, issue C, 106-118

Abstract: The increasing probability of natural and human-induced extreme events in forests calls for innovative forms of risk management. Insuring timber is one possible way to cope with possible financial damages incurred by forest owners. This study developed a Geographic Information System (GIS) for identifying optimal insurance schemes in the forestry sector. The model comprises three modules used to calculate: i) potential financial damage (temporary or permanent), ii) the annual probability of extreme events (fires and storms), iii) the insurance premium for each site. Research focused on a multiscale approach able to provide outputs at a regional (NUTS-2) and national scale in Italy. Results reveal the high variability of forests in the case study area from the standpoint of both the value of woodlands and the probability of extreme meteorological events. In general, premiums seem to be consistent in the southern regions, in high forest and in Mediterranean forest typologies. The model can be used to analyse different scenarios and variables related to forest characteristics/management as well as financial options. Additional analysis can reveal where and how public subsidy of insurance premiums could favour the diffusion of this form of risk management.

Keywords: Risk management; Timber value; Hazard probability; Spatial analysis; Insurance premium (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:forpol:v:92:y:2018:i:c:p:106-118

DOI: 10.1016/j.forpol.2018.04.011

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