Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/230283 
Year of Publication: 
2021
Citation: 
[Journal:] Australian Journal of Agricultural and Resource Economics [ISSN:] 1467-8489 [Volume:] 65 [Issue:] 1 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2021 [Pages:] 66-93
Publisher: 
Wiley, Hoboken, NJ
Abstract: 
Olive oil yields fluctuate strongly due to their dependence on sufficient precipitation. An interesting option to hedge the yield risk in olive cultivation could be satellite-based weather index insurance. Therefore, we implement index insurance as a hedging alternative for non-irrigated olive groves using MODerate-resolution Imaging Spectroradiometer (MODIS) satellite data. For this purpose, we focus on the Spanish region of Andalusia, given its importance in olive production at the international level. We calculate three satellite indices: the Vegetation Condition Index (VCI), the Temperature Condition Index (TCI) and the Vegetation Health Index (VHI). Meteorological indices related to temperature and precipitation are used as benchmarks. Firstly, we estimate the periods that have the greatest influence on the critical vegetative phase of olives, which extends from March to September. Based on the indices, insurance contracts are designed using a copula approach, which is then employed to evaluate their hedging effectiveness. On average, the hedging effectiveness of VCI-, VHI- and TCI-based weather index insurance contracts amounts to 38 per cent, 38 per cent and 29 per cent, respectively. Moreover, VCI- and VHI-based weather index insurance contracts outperform traditional weather index insurance contracts based on precipitation (by 29 per cent) and temperature (by 16 per cent) indices.
Subjects: 
copulas
olive trees
remotely sensed data
risk management
tail dependence
weather index insurance
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Document Version: 
Published Version

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