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Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer

Roman Hohl (International Finance Corporation, World Bank Group, Washington, District of Columbia, USA) (Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore)
Ze Jiang (Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore)
Minh Tue Vu (Glenn Department of Civil Engineering, Clemson University, Clemson, South Carolina, USA)
Srivatsan Vijayaraghavan (Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore)
Shie-Yui Liong (Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore)

Agricultural Finance Review

ISSN: 0002-1466

Article publication date: 7 July 2020

Issue publication date: 21 January 2021

395

Abstract

Purpose

Examine the usability of rainfall and temperature outputs of a regional climate model (RCM) and meteorological drought indices to develop a macro-level risk transfer product to compensate the government of Central Java, Indonesia, for drought-related disaster payments to rice farmers.

Design/methodology/approach

Based on 0.5° gridded rainfall and temperature data (1960–2015) and projections of the WRF-RCM (2016–2040), the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are calculated for Central Java over different time spans. The drought indices are correlated to annual and seasonal rice production, based on which a weather index insurance structure is developed.

Findings

The six-month SPI correlates best with the wet season rice production, which generates most output in Central Java. The SPI time series reveals that drought severity increases in future years (2016–2040) and leads to higher payouts from the weather index structure compared to the historical period (1960–2015).

Practical implications

The developed methodology in using SPI for historical and projected periods allows the development of weather index insurance in other regions which have a clear link between rainfall deficit and agricultural production volatility.

Originality/value

Meteorological drought indices are a viable alternative for weather index insurance, which is usually based on rainfall amounts. RCM outputs provide valuable insights into future climate variability and drought risk and prolong the time series, which should result in more robust weather index insurance products.

Keywords

Citation

Hohl, R., Jiang, Z., Tue Vu, M., Vijayaraghavan, S. and Liong, S.-Y. (2021), "Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer", Agricultural Finance Review, Vol. 81 No. 1, pp. 151-168. https://doi.org/10.1108/AFR-02-2020-0020

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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