Abstract

AbstractSince 2000, the energy attributes of agricultural products have gradually emerged. The fluctuations in the prices of international agricultural products can be explained by changes in international energy and international finance, which makes energy prices attract attention and research from all walks of life. After analyzing the impact of international oil prices and Chinese oil prices on corn prices, it is found that corn prices, WTI crude oil prices and Shanghai crude oil prices have the characteristics of “left-leaning and peak”. Through the multiple linear regression model, using EViws software for regression analysis and correlation test, it is concluded that oil price has a significant impact on corn price. Therefore, at the national level, farmers should spread knowledge, and transmit relevant information, and increase various subsidies; farmers and the corn processing industry should pay close attention to oil prices, and timely and accurately predict the direction of corn price fluctuations. Can reduce costs and increase profits.KeywordsCorn futuresMultiple linear regressionEViews10Oil price

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