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Phenology Information Contributes to Reduce Temporal Basis Risk in Agricultural Weather Index Insurance

机译:物候信息有助于降低农业天气指数保险中的时间基准风险

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摘要

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.
机译:天气风险是农业收入波动的重要且日益重要的驱动因素。农业保险有助于支持农民应对这些风险。在这些保险中,天气指数保险(WII)是应对农业气候风险的创新工具。使用WII,农民可获得的补偿并非基于实际的单产减少,而是根据实测的天气指数(例如附近气象站的降雨)进行补偿。经历的损失与实际赔偿(基础风险)之间的差异是一个关键挑战。特别是,迄今为止使用的WII规范无法充分反映关键的植物生长阶段。在这里,我们通过提出新颖的程序来减少基本风险,从而可以考虑发生日期和生长阶段随时间和空间的变化,并测试其降低风险的潜力。我们的经验示例解决了德国冬小麦生产花期的关键生长阶段干旱风险。我们发现物候报告在空间上明确,公开和开放的数据库有助于降低基准风险,从而提高WII的吸引力。相比之下,我们发现基于生长日数(热时间)的生长阶段建模不会带来明显的改善。

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