Abstract:
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[EN] Water scarcity is an increasingly recurring problem for irrigated agriculture in Mediterranean regions. It is, therefore, necessary to establish technical and financial measures to enable irrigators to deal with this ...[+]
[EN] Water scarcity is an increasingly recurring problem for irrigated agriculture in Mediterranean regions. It is, therefore, necessary to establish technical and financial measures to enable irrigators to deal with this problem. This study presents a new index-based drought insurance
scheme in an irrigation district in the Jucar river basin in Spain, a highly regulated water system.
Three insurance scheme options were evaluated and, the values of the fair risk premiums, the maximum compensation, and the deductible franchise were established. These insurance schemes were
designed in agreement with the preexisting drought system operating rules to reduce moral hazard
and adverse selection. Risk-reducing and effective evaluation methods were used to determine the insurance coverage¿s viability for irrigators: standard deviation gross margin, minimum gross
margin, and RMSL. The proposed insurances were also evaluated using synthetic hydrological time
series generated with a stochastic ARMA model through a basin-wide water resource simulation
model developed in the DSS Shell AQUATOOL. Financial indicators, such as the basis risk and claim ratio were applied to analyze the economic feasibility for insurance companies. The results show
that a suitable and efficient option is an early-bird contract combined with a trigger of emergency or
alert state in a multi-year contract. This type of specialized insurance helps to fill the existing gap in
traditional insurance schemes for irrigated crops and offered additional coverage to farmers under drought and water scarcity conditions.
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Thanks:
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This research and the APC were funded by Universidad Nacional de Colombia and the
doctoral student training program of Ministry of Science, Technology, and Innovation of Colombia
(MinCiencias). It has also received funding ...[+]
This research and the APC were funded by Universidad Nacional de Colombia and the
doctoral student training program of Ministry of Science, Technology, and Innovation of Colombia
(MinCiencias). It has also received funding from the European Union's Horizon 2020 research and
innovation programme under the GoNEXUS project (grant agreement No 101003722) and the ADAPTAMED project (RTI2018-101483-B-I00) funded by the Ministerio de Economia y Competitividad
(MINECO) of Spain including EU FEDER funds.
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