Efficiency of weather derivatives for Chinese agriculture industry
Abstract
Purpose
The purpose of this paper is to analyze the efficiency of temperature-based weather derivatives (WD) in reducing risk exposure for Chinese agriculture industry. Therefore, a put option with cumulated growing degree days as its underlying index is assumed to be bought by farmers as a risk management instrument to prevent income fluctuations from adverse temperature conditions.
Design/methodology/approach
The objective of this paper is to analyze the efficiency of temperature-based WD in reducing risk exposure for Chinese agriculture industry. Therefore, a put option with cumulated growing degree days as its underlying index is assumed to be bought by farmers as a risk management instrument to prevent income fluctuations from adverse temperature conditions.
Findings
The results of the efficiency tests show that temperature-based put options are efficient in offsetting yield shortfalls for rice and wheat in China. The weather-yield models have a high prediction power in explaining yield variation by temperature.
Research limitations/implications
The de-trending procedure for the weather-yield model should be improved to distinguish better between technology progress, human activities and influence of weather. Further, more advanced models could be used for the pricing.
Practical implications
The findings of the paper support the launch of WD as an efficient risk management tool for agriculture in China. Compared with traditional damage-based insurance, WD are more flexible, have lower transactions costs and avoid moral hazard or adverse selection.
Originality/value
The efficiency problem of WD has not been analyzed sufficiently worldwide and especially not for developing countries like China where a large proportion of the population works as farmers. This paper supports to fill this gap.
Keywords
Acknowledgements
JEL Classification – C5, Q14, Q54
Citation
Ender, M. and Zhang, R. (2015), "Efficiency of weather derivatives for Chinese agriculture industry", China Agricultural Economic Review, Vol. 7 No. 1, pp. 102-121. https://doi.org/10.1108/CAER-06-2013-0089
Publisher
:Emerald Group Publishing Limited
Copyright © 2015, Emerald Group Publishing Limited