Using a regional climate model to develop index-based drought insurance for sovereign disaster risk transfer. Issue 1 (7th July 2020)

• Record Type: Journal Article
• Authors: Hohl, Roman; Jiang, Ze; Tue Vu, Minh; Vijayaraghavan, Srivatsan; Liong, Shie-Yui
• Is Part Of: Agricultural finance review. Volume 81:Issue 1(2021)
• Page Start: 151
• Page End: 168
• Publication Date: 2020-07-07
• Subjects: Drought risk mitigation -- Climate change -- Regional climate model -- Standardized precipitation index -- Weather index insurance -- Sovereign disaster risk transfer; Agriculture -- Finance -- Periodicals; Agriculture -- Finance -- Statistics -- Periodicals; Agricultural insurance -- Periodicals; Agriculture -- Taxation -- Periodicals; 332.71
• DOI: 10.1108/AFR-02-2020-0020
• Languages: English
• ISSNs: 0002-1466

Abstract

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.