Influence of Oil Price on Corn Price Based on Multiple Linear Regression Model | |
Liu, Xinyu; Wang, Yanan | |
2022 | |
会议日期 | February 1, 2020 - February 3, 2020 |
会议地点 | Taichung, Taiwan |
关键词 | Agricultural products Costs Crude oil International trade Software testing Corn future Correlation tests Crude oil prices Energy Energy prices Eviews10 Multiple linear regression models National level Oil Prices Price based |
卷号 | 791 |
DOI | 10.1007/978-981-16-4258-6_111 |
页码 | 909-916 |
英文摘要 | Since 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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
会议录 | Lecture Notes in Electrical Engineering |
会议录出版者 | Springer Science and Business Media Deutschland GmbH |
语种 | 英语 |
ISSN号 | 1876-1100 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/158073] |
专题 | 兰州理工大学 |
作者单位 | School of Economics and Management, Lanzhou University of Technology, Gansu, Lanzhou, China |
推荐引用方式 GB/T 7714 | Liu, Xinyu,Wang, Yanan. Influence of Oil Price on Corn Price Based on Multiple Linear Regression Model[C]. 见:. Taichung, Taiwan. February 1, 2020 - February 3, 2020. |
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