大豆科学2017，Vol.36Issue(5)：782-788,7.DOI:10.11861/j.issn.1000-9841.2017.05.0782
基于符号回归的国产大豆价格影响因素分析
Analysis on Influencing Factors of Domestic Soybean Price Based on Symbolic Regression
摘要
Abstract
As the important food crops and oil source in our country,the price of soybeans has important effects on residents' life and agricultural economy.Analysis on influencing factors of domestic soybean price has great significance to control soybean price and stabilize the soybean market.On the basis of qualitative analysis,the influence factors of soybean price were analyzed by symbol regression method.The results show that the money supply and soybean export price have the greatest impact on soybean price,followed by the world's soybean production and domestic demand,which followed by domestic soybean self-sufficiency and soybean imports,the consumer price index and the consumer confidence index have the least impact.Finally,provide some suggestions to the domestic soybean market regulation according to the analysis results.关键词
大豆价格/符号回归/影响因素Key words
Soybean price/Symbolic regression/Influence factors分类
管理科学引用本文复制引用
高磊,张冬青,叶方如,黄宇..基于符号回归的国产大豆价格影响因素分析[J].大豆科学,2017,36(5):782-788,7.基金项目
国家自然科学基金(71301077) （71301077）
南京农业大学中央高校基本科研业务费人文社会科学基金(SK2014011). （SK2014011）
