1. Natural insurance as condition for market insurance: Climate change adaptation in agriculture
- Author
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Unai Pascual, Sisse Liv Jørgensen, Mette Termansen, and European Commission
- Subjects
climate effect ,Economics and Econometrics ,adaptive management ,010504 meteorology & atmospheric sciences ,Natural resource economics ,Denmark ,insurance system ,Land management ,010501 environmental sciences ,01 natural sciences ,Insurance policy ,crop damage ,soil quality ,Risk management ,0105 earth and related environmental sciences ,General Environmental Science ,2. Zero hunger ,Crop insurance ,business.industry ,Climate risk ,agricultural market ,land management ,15. Life on land ,sustainability ,13. Climate action ,Agriculture ,Sustainability ,Damages ,business - Abstract
This paper focuses on the potential use of insurance as a climate change adaptation mechanism in agriculture. We analyse the attractiveness of a climate risk insurance scheme and the choices farmers face between adaptation via farm management practices and purchase of crop insurance in the market. A choice experiment is used to reveal Danish farmers preferences regarding an insurance contract where adoption of land management practices to improve soil sustainability is conditional for obtaining insurance cover in the market. Results indicate that in general arable farmers and farmers with low soil quality who have experienced crop damages in the past are more likely to purchase such conditional insurance. Farmers with good quality soils, who perceive that they have already adapted their practices to climatic risks and who have not experienced losses due to adverse climatic events in the past are less willing to purchase insurance. The paper contributes to the limited knowledge on preferences for climate risk related insurance in agricultural systems in general, and in Europe in particular. © 2019 The paper was prepared under EU Framework 7 project “Ecological Function and Biodiversity Indicators in European soils” (ECOFINDERS grant no. 264465 ). Furthermore, the paper has benefited from support from the PREAR project (No 652615) granted under the FACCE SURPLUS ERA-NET Cofund and funded by the Danish Innovation Fund .
- Published
- 2020