卢布汇率制度和俄罗斯在乌克兰的战争对俄罗斯小麦价格的影响

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2024-03-06 DOI:10.1111/agec.12822
Stanislav Yugay, Linde Götz, Miranda Svanidze
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引用次数: 0

摘要

与卢布汇率自由浮动时相比,我们对卢布汇率管理时的汇率传递进行了评估。对制粉小麦价格误差修正模型的估计表明,自 2014 年卢布汇率成为自由浮动汇率后,俄罗斯北高加索地区(最靠近黑海港口的地区)的汇率传递性最强,伏尔加河和西西伯利亚偏远地区的汇率传递性最弱。与此相反,我们发现俄罗斯地区小麦价格与卢布/美元汇率在汇率管理期间不存在协整关系。此外,与供人类消费的 3 级和 4 级小麦相比,饲料小麦(5 级)的整合程度较弱。随着俄罗斯入侵乌克兰,汇率对俄罗斯小麦价格的传递急剧下降。因此,乌克兰战争促使俄罗斯小麦行业脱离国际市场,并增加了供应链中断和地缘政治风险的风险,这可能会增加出口供应的波动性。为加强贸易抵御能力,依赖小麦进口的国家应实现进口来源多样化。
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Impact of the Ruble exchange rate regime and Russia's war in Ukraine on wheat prices in Russia

We assess exchange rate pass-through when the Ruble exchange rate was managed in comparison with when it became free-floating. Estimates of the error correction model for milling wheat prices suggest exchange rate pass-through to be strongest in Russia's North Caucasus, the region closest to the Black Sea ports, and weakest in the remote regions of Volga and West Siberia since the Ruble exchange rate became free-floating in 2014. In contrast, we find Russian regional wheat prices and the Ruble/USD exchange rate not cointegrated when the exchange rate was managed. Further, feed wheat (Class 5) is only weakly integrated compared to wheat Classes 3 and 4 for human consumption. With Russia's invasion of Ukraine, exchange rate pass-through to Russian wheat prices has decreased sharply. Thus, the Ukraine war drives the disintegration of Russia's wheat sector from international markets and adds to the risks of supply chain disruption and geopolitical risks, which may increase export supply volatility. To strengthen trade resilience, countries that are dependent on wheat imports should diversify their import sources.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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