|Table of Contents|

Analysis on Influencing Factors of Domestic Soybean Price Based on Symbolic Regression(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2017年05期
Page:
782-788
Research Field:
Publishing date:

Info

Title:
Analysis on Influencing Factors of Domestic Soybean Price Based on Symbolic Regression
Author(s):
GAO Lei1; ZHANG Dong-qing1; YE Fang-ru2; HUANG Yu1
（1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, China; 2. College of Economics and Management, Northeast Forestry University, Harbin 150040, China）
Keywords:
Soybean price;  Symbolic regression;  Influence factors
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2017.05.0782
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.

References:

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Last Update: 2017-11-01