Abstract

Abstract Crop producers face significant and increasing drought risks. We evaluate whether insurances based on globally and freely available satellite-retrieved soil moisture data can reduce farms’ financial drought risk exposure. We design farm individual soil moisture index insurances for wheat, maize and rapeseed production using a case study for Eastern Germany. We find that the satellite-retrieved soil moisture index insurances significantly decrease risk exposure for these crops compared to the situation where production is not insured. The satellite-retrieved index also outperforms one based on soil moisture estimates derived from meteorological measurements at ground stations. Important implications for insurers and policy makers are that they could and should develop better suited insurances. Available satellite-retrieved data can be used to increase farmers’ resilience in a changing climate.

Highlights

  • Droughts put agricultural production and farmers’ incomes at risk

  • By assessing the individual risk premium change for all farms, we find that both the satellite-based and the meteorological station-based soil moisture index insurance products significantly decrease farmers’ risk exposure

  • We find some differences in the performance of the two insurance options for different crops and timeframes, but there is no clear best insurance option regarding the soil moisture estimation method

Read more

Summary

Introduction

Droughts put agricultural production and farmers’ incomes at risk. Systemic drought events are expected to become more frequent and severe in Central Europe due to climate change (e.g. Grillakis, 2019; Kahiluoto et al, 2019; Seneviratne et al, 2010, 2012; Trnka et al, 2014). Research and practice on the use of satellite-retrieved data in drought index insurances considered sensing of the health status of the plant, precipitation and evapotranspiration (see for example Black et al (2016), Bokusheva et al (2016), Enenkel et al (2018), Jensen et al (2019), de Leeuw et al (2014), Roumiguié et al (2017), Vrieling et al (2014) and Vroege, Dalhaus and Finger (2019)) We extend this literature by quantifying the economic benefits of satelliteretrieved soil moisture measurements in an index insurance scheme for single farms. We discuss crucial dataset characteristics and draw conclusions for policy makers, insurance practitioners and future research

Conceptual framework
Soil moisture as the index variable
Empirical implementation
Yield and phenology data
ESA CCI satellite-retrieved soil moisture product
DWD station-based soil moisture product
Results and discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.