Abstract

Weather risks are an essential and increasingly important driver of agricultural income volatility. Agricultural insurances contribute to support farmers to cope with these risks. Among these insurances, weather index insurances (WII) are an innovative tool to cope with climatic risks in agriculture. Using WII, farmers receive an indemnification not based on actual yield reductions but are compensated based on a measured weather index, such as rainfall at a nearby weather station. The discrepancy between experienced losses and actual indemnification, basis risk, is a key challenge. In particular, specifications of WII used so far do not capture critical plant growth phases adequately. Here, we contribute to reduce basis risk by proposing novel procedures how occurrence dates and shifts of growth phases over time and space can be considered and test for their risk reducing potential. Our empirical example addresses drought risks in the critical growth phase around the anthesis stage in winter wheat production in Germany. We find spatially explicit, public and open databases of phenology reports to contribute to reduce basis risk and thus improve the attractiveness of WII. In contrast, we find growth stage modelling based on growing degree days (thermal time) not to result in significant improvements.

Highlights

  • We test for statistical significance of i) the ability of weather index insurances (WII) solutions to reduce farmers’ financial exposure to drought risk compared to no insurance (RQ1) and ii) differences across the different WII specifications used here (RQ2)

  • We find that both WII based on phenology reporting data highly significantly increased farmers’ expected utility and reduce the financial exposure to drought risk

  • Regarding WII based on growing degree days (GDD) estimated growth stages we could not detect any significant changes in expected utility compared to the ‘no insurance’ base scenario

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Summary

Objectives

We aim to test and compare different approaches to find the occurrence dates of these phases and use this information to reduce temporal basis risk of WII. We aim to answer the following research questions. We aim to develop a WII that reduces the exposure to drought risk which frequently affects winter wheat yields in our study region

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