|Table of Contents|

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

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2014年05期
Page:
759-763
Research Field:
Publishing date:

Info

Title:
Analysis on Influencing Factors of Domestic Soybean Price Based on Quantile Regression
Author(s):
LIU Huan; ZHANG Dong-qing
Engineering College of Nanjing Agricultural University,Nanjing 210031,China
Keywords:
Quantile regression; Domestic soybean price; Influencing factors
PACS:
F713
DOI:
10.11861/j.issn.1000-9841.2014.05.0759
Abstract:
Soybean is an important crop,and an important source of oil,so it plays an important role in China national economy.Due to a variety of factors,the price of soybean shows random and irregular volatility,which influencing economic benefit of soybean industry.In the paper,domestic soybean was analyzed on the basis of qualitative method from 3 aspects of supplying,demanding and macroeconomic.A quantile regression model for soybean price in China was proposed and every factor’s effect on prices of soybean under different quantile weights was analyzed.The result showed that world’s soybean production,Chinese consumer confidence index and China money supply were the main influencing factors.Domestic soybean price was negatively correlated to world’s soybean production and positively correlated to Chinese consumer confidence indes and China money supply.Meanwhile,some suggestions to promote the healthy development of soybean industry in China were put forward according to the former model.

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Last Update: 2014-12-27