Improving Index-Based Drought Insurance in Varying Topography: Evaluating Basis Risk Based on Perceptions of Nicaraguan Hillside Farmers

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Abstract

This paper discusses a methodology to model precipitation indices and premium prices for index-based drought insurance for smallholders. Spatial basis risk, which is borne by the insured, is a problem, especially in variable topography. Also, site-specific drought risk needs to be estimated accurately in order to offer effective insurance cover and ensure financial sustainability of the insurance scheme. We explore farmers' perceptions on drought and spatial climate variability and draw conclusions concerning basis risk with regards to the proposed methodology. There are technically many options to represent natural heterogeneity in index insurance contracts while serving the customer adequately and keeping transaction costs low. © 2012 Kost et al.

Figures

  • Figure 1. Precipitation January-October 2010 at weather station San Isidro (458 m). (Source: WorldClim database and [51]). doi:10.1371/journal.pone.0051412.g001
  • Figure 2. Behavioristic stimulus-response-model with perception component. (Source: adapted from [36]). doi:10.1371/journal.pone.0051412.g002
  • Table 1. Weightings of ten-day precipitation in the DSSAT averaged insurance index for drybean.
  • Figure 3. Mean annual precipitation in the municipalities of Matagalpa, San Isidro, and San Dionisio. (Source: WorldClim database, prepared with DIVA-GIS).
  • Figure 4. Optimal rainfall weightings in farmers’ graphs (A and B) and DSSAT averaged insurance index (C). (Source: own data, [13]). doi:10.1371/journal.pone.0051412.g004

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CITATION STYLE

APA

Kost, A., Läderach, P., Fisher, M., Cook, S., & Gómez, L. (2012). Improving Index-Based Drought Insurance in Varying Topography: Evaluating Basis Risk Based on Perceptions of Nicaraguan Hillside Farmers. PLoS ONE, 7(12). https://doi.org/10.1371/journal.pone.0051412

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