Investigating the agricultural losses due to climate variability: An application of conditional value-at-risk approach

Sukono, S.; Riaman, R.; Supian, S.; Hidayat, Y.; Saputra, J.; Pribadi, D.

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print) Quarterly Publication Volume 10 Issue 1 pp. 71-78 , 2021

Investigating the agricultural losses due to climate variability: An application of conditional value-at-risk approach Pages 71-78 Download PDF

Authors: Sukono Sukono, Riaman Riaman, Sudradjat Supian, Yuyun Hidayat, Jumadil Saputra, Diantiny Mariam Pribadi

DOI: 10.5267/j.dsl.2020.10.002

Keywords: Allocation of agricultural land, Climate variable, Crop insurance, Optimization, Risk measure, Optimal Decision

Abstract: The agricultural sector is directly affected by climate variables. The presence of climate variability causes a considerable risk to agricultural productivities. Thus, risk management is an alternative to reduce risks, including optimizing the allocation of farmland and choosing crop insurance for a specific planting date. The purpose of this study is to investigate the agricultural risk management through risk measure of climate variability using the Conditional Value-at-Risk (CVaR) in rice production. This paper investigated several possible considerations of agricultural insurance premiums based on losses climate index. We concluded that the climate index insurance policy is the best choice that farmers can choose for each planting date, the higher the significance value considered, the more the value of Value-at-Risk and Conditional Value-at-Risk.

How to cite this paper

 Sukono, S., Riaman, R., Supian, S., Hidayat, Y., Saputra, J & Pribadi, D. (2021). Investigating the agricultural losses due to climate variability: An application of conditional value-at-risk approach.Decision Science Letters , 10(1), 71-78.

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