The Asymmetric Tail Risk Spillover from the International Soybean Market to China’s Soybean Industry Chain

Q2 Agricultural and Biological Sciences Agriculture Pub Date : 2024-07-21 DOI:10.3390/agriculture14071198
Shaobin Zhang, Baofeng Shi
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Abstract

China is the largest soybean importer and consumer in the world. Soybean oil is the most-consumed vegetable oil in China, while soybean meal is the most important protein feed raw material in China, which affects the costs of animal husbandry. Volatility in the international soybean market would generate risk spillovers to China’s soybean industrial chain. This paper analyzed the channel of risk spillover from the international soybean market to China’s soybean industry chain and the asymmetry of the risk spillover. The degree of risk spillover from the international soybean market to the Chinese soybean industry chain was measured by the Copula–CoVaR model. The moderating role of inventory and demand in asymmetric risk spillovers was analyzed by quantile regression. We draw the following conclusions: First, the international soybean market impacts China’s soybean industry chain through soybeans rather than soybean meal and oil. The price fluctuation of China soybean market is obviously lower than that of the international soybean market. Second, there are apparent asymmetric risk spillovers from the international soybean market to China’s soybean industry chain, especially the soybean meal market. Third, increasing the Chinese soybean inventory and growing demand could effectively prevent the downside risk spillover from international markets to China’s soybean market. This also explains the asymmetry of risk spillovers. The research enriches the research perspective on food security, and the analysis of risk spillover mechanisms provides a scientific basis for relevant companies to develop risk-management strategies.
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国际大豆市场对中国大豆产业链的非对称尾部风险溢出
中国是世界上最大的大豆进口国和消费国。豆油是中国消耗量最大的植物油,而豆粕是中国最重要的蛋白饲料原料,影响着畜牧业的成本。国际大豆市场的波动会对中国大豆产业链产生风险溢出效应。本文分析了国际大豆市场对中国大豆产业链的风险溢出渠道以及风险溢出的不对称性。国际大豆市场向中国大豆产业链的风险溢出程度通过 Copula-CoVaR 模型进行度量。通过量化回归分析了库存和需求在非对称风险溢出中的调节作用。我们得出以下结论:首先,国际大豆市场通过大豆而非豆粕和豆油影响中国大豆产业链。中国大豆市场的价格波动明显低于国际大豆市场。其次,国际大豆市场对中国大豆产业链尤其是豆粕市场存在明显的非对称风险溢出效应。第三,中国大豆库存的增加和需求的增长可以有效防止国际市场的下行风险向中国大豆市场溢出。这也解释了风险溢出的不对称性。该研究丰富了粮食安全的研究视角,对风险溢出机制的分析为相关企业制定风险管理策略提供了科学依据。
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来源期刊
Agriculture
Agriculture Agricultural and Biological Sciences-Horticulture
CiteScore
1.90
自引率
0.00%
发文量
4
审稿时长
11 weeks
期刊介绍: The Agriculture (Poľnohospodárstvo) is a peer-reviewed international journal that publishes mainly original research papers. The journal examines various aspects of research and is devoted to the publication of papers dealing with the following subjects: plant nutrition, protection, breeding, genetics and biotechnology, quality of plant products, grassland, mountain agriculture and environment, soil science and conservation, mechanization and economics of plant production and other spheres of plant science. Journal is published 4 times per year.
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