Affiliation:
1. Shijiazhuang Tiedao University
2. Shijiazhuang Railway Institute
Abstract
The frequent and excessive fluctuation of agricultural and livestock products price is not
only harmful to residents’ living, but also affects CPI (Consumer Price Index) values, and even leads
to social crisis, which influences social stability. Therefore it is important to forecast the price of
agriculture and livestock products. As a result, we made a research on the factors affecting
agricultural and livestock products price, established a forecasted model of agricultural and livestock
products price, and developed its early-warning system which is suitable to China. Considering the
direct relationship between the price and the output, multiple linear regression method was adopted to
study this problem. The model is composed of three sub-models. This paper puts forward the concept
of price equilibrium coefficient C0, which describes the degree to which people accepting the
forecasted price. With the establishment of the standard for the influence of price fluctuation, the
influence of price fluctuation is measured. Each range of the C0 value corresponds with a specific
result, which may informs the government with the danger of price fluctuation. As a result, the model
can early-warn the price rising caused by crop reduction due to sudden natural disaster, which may
induce social turmoil and crisis. If the forecasted price rises heavily, the government should take
measures to avoid crisis. This paper offers the method to control future price. Finally, a forecasted
model of pork price is calculated with simulated data. The forecasted result is in good agreement with
actual situation.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. Yu Pingfu, in: Study on the Construction and Application of Model Prediction System of the Agro-products, Journal of Anhui Agricultural Sciences, 2005, 33(7): 1284-1286.
2. Sheng Jianhua, Cheng Gongpeng and Jin Xixin, in: Study on the change rule and forecast of pork price in Henan Province, Journal of Henan Agricultural University, 2008, 42(6): 672-676.
3. Henk A. L. Kiers and Age K. Smilde, in: A comparison of various methods for multivariate regression with highly collinear variables, Statistical Methods and Applications, 2007, 16(2): 193-228.
4. Nicholas Apergis and Anthony Rezitis, in: Mean spillover effects in agricultural prices: Evidence from changes in policy regimes, International Advances in Economic Research, 2003, 9(1): 69-78.
5. Pan Chunling, in: Analysis and suggestion: thirty years of fluctuation and development of live-pig production of Liaoning province, Social Science Journal of Shenyang Agricultural University, 2008, 10(6): 649-653.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献