ZHU Jing,FAN Ya-dong,XU Yong.Soybean Price Prediction in China Basedon Modified GM(1,1) Model[J].Soybean Science,2016,35(02):315-319.[doi:10.11861/j.issn.1000-9841.2016.02-0315]
基于改进GM(1,1)模型的中国大豆价格预测
- Title:
- Soybean Price Prediction in China Basedon Modified GM(1,1) Model
- Keywords:
- Soybean in China; Price prediction; Modified GM(1; 1) model
- 文献标志码:
- A
- 摘要:
- 中国大豆产业是国家基础性产业之一,国内外大豆市场对大豆价格波动影响极大,对中国大豆波动情况加以研究具有重要的意义。在分析GM(1,1)模型有效性的基础上,讨论了其在农产品预测的可行性,从而采用改进GM(1,1)模型用1990-2014年中国大豆价格预测2015-2017年中国大豆价格分别为4.40,4.57和4.74元.kg-1,在本试验中改进GM(1,1)模型并没有对原始序列进行累加操作,说明原始序列具备准指数规律。检验结果表明后验差比值小于0.5和小误差概率大于0.8,说明采用灰色预测对此数据加以预测合格。2015年价格低于2015年东北三省和内蒙古大豆价格目标价格,说明中国大豆仍处于低迷状态,会导致中国大豆种植面积及农民种植意愿继续降低。据此给出对策与建议,一是继续提高大豆种植补贴和大豆目标价格;二是加大地方大豆产业的政策性扶持,尤其是非转基因大豆产业的扶持,保持国内大豆产业健康发展;三是提高大豆行业与豆农的组织化程度。
- Abstract:
- China soybean industry is one of the national fundamental industries, domestic and international market have enormous influence on the price fluctuation of soybean, soybean volatility on Chinese soybean research has the vital significance. This paper uses modified GM(1,1) to predict soybean price in China from 2015 to 2017 by the datasets with soybean price from 1990 to 2014. Predicted soybean price in China is 4.40, 4.57 and 4.74 yuan.kg-1, respectively. In this experiment, the modified GM(1,1) has not done the accumulate operation on original sequences, illustrating that the original sequence has accurate index law. Test results showed that the posterior error ratio was less than 0.5 and small error probability was greater than 0.8, thus, using grey prediction to predict the data was qualified.Since predicted price in 2015 is lower than soybean target price in three northeast provinces and Inner Mongolia Autonomous Region, it showed that soybean in China was not successful and led to decreasing planting area of soybean in China and farmer planting willingness.Based on these, some suggestions were given as follows: firstly, planting subsidy and target price of soybean would be continuously improved. Secondly, government would specially support local soybean industry, especially, non-transgenic soybean industry, keeping healthy development of domestic soybean industry. Finally, organization degree of soybean industry and soybean growers would be improved in China.
参考文献/References:
[1]刘忠堂.关于中国大豆产业发展战略的思考[J]. 大豆科学, 2013,32(3):283-285.(Liu Z T. Some thoughts concerning development strategy for soybean industry in China[J]. Soybean Science, 2013,32(3):283-285.)
相似文献/References:
[1]朱思柱,周曙东.基于扩展Nerlove模型的中国大豆供给反应弹性研究[J].大豆科学,2014,33(05):752.[doi:10.11861/j.issn.1000-9841.2014.05.0752]
ZHU Si-zhu,ZHOU Shu-dong.Studies for Chinese Soybean Supply Response Elasticity Based on Extended Nerlove Model[J].Soybean Science,2014,33(02):752.[doi:10.11861/j.issn.1000-9841.2014.05.0752]
[2]蒲艳艳,宫永超,李娜娜,等.中国大豆种质资源遗传多样性研究进展[J].大豆科学,2018,37(02):315.[doi:10.11861/j.issn.1000-9841.2018.02.0315]
PU Yan-yan,GONG Yong-chao,LI Na-na,et al.The Progress in Genetic Diversity of the Soybean Germplasm in China[J].Soybean Science,2018,37(02):315.[doi:10.11861/j.issn.1000-9841.2018.02.0315]
[3]陈伟,朱俊峰,田国强.中美贸易摩擦对中国大豆的影响及对策分析[J].大豆科学,2019,38(01):118.[doi:10.11861/j.issn.1000-9841.2019.01.0118]
CHEN Wei,ZHU Jun-feng,TIAN Guo-qiang.The Impact and Countermeasures Analysis of Sino-US Trade Friction on China′s Soybean[J].Soybean Science,2019,38(02):118.[doi:10.11861/j.issn.1000-9841.2019.01.0118]
备注/Memo
第一作者简介:朱婧(1979-),女,博士,主要从事农业产业研究。E-mail:350142771@qq.com。通讯作者:范亚东(1963-),男,教授,博导,主要从事农业产业研究。E-mail:zhujing2020@126.com。