Alternative Area Yield Index Based Crop Insurance Policies in Indonesia

Dian Kusumaningrum (), Rahma Anisa (), Valantino Agus Sutomo () and Ken Seng Tan ()
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Dian Kusumaningrum: Prasetiya Mulya University
Rahma Anisa: IPB University
Valantino Agus Sutomo: Prasetiya Mulya University
Ken Seng Tan: Nanyang Business School, Nanyang Technological University

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2021, pp 285-290 from Springer

Abstract: Abstract Starting in 2015, farmers in Indonesia could protect their paddy cultivation by participating in the insurance scheme enacted by the Paddy Plant Business Insurance (PPBI) program. Despite it is heavily subsidized by the government and that it is a Multi-Peril Crop Insurance (MPCI), less than 1% of the total farming land are insured. The lack of demand could be due to the fact that the existing MPCI’s indemnity depends on the damaged farming land, as opposed to the actual paddy productivity. In view of this drawback, this paper considers two other insurance schemes, with one generalizes the existing MPCI by integrating paddy productivity to the indemnity, and the other is an area yield index (AYI) policy. By calibrating to the empirical data, we conduct extensive Monte Carlo studies to assess the efficiency of these schemes. The simulated premium of the existing MPCI is around IDR 250,000. This is higher than current premium and the underprice can be detrimental to the PPBI program’s sustainability. By comparing cost of insurance and tail risk (VaR and TVaR), we conclude that the first scheme is not a viable solution due to its high premium and high tail risk. The AYI, on the other hand, is a viable option. Its premium is comparable to the existing MPCI but with a much smaller tail risk. Furthermore, it has the potential of overcoming many of the drawbacks that are commonly found in MPCI (such as moral hazard and high administrative cost).

Keywords: Multi-Peril Crop Insurance (MCPI); Area Yield Index Crop Insurance; Monte Carlo Simulation (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78965-7_42

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DOI: 10.1007/978-3-030-78965-7_42

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