Qu Hongquan
College of Information Engineering, North China University of Technology, 100144, Beijing, China
Li Chenzheng
College of Information Engineering, North China University of Technology, 100144, Beijing, China
Zhang Changnian
College of Information Engineering, North China University of Technology, 100144, Beijing, China
Chen Xinyue
College of Information Engineering, North China University of Technology, 100144, Beijing, China
Liu Yuting
College of Information Engineering, North China University of Technology, 100144, Beijing, China
ABSTRACT
The price of pork in China has become the world's most watched economic indicator because it is directly related to the level of inflation, consumption and domestic demand. Therefore, it is significant to establish a proper model of pork price to forecast its future price tends. In this study, based on analyzing the change fluctuation data of the pork price, the Broad Money Supply (M2) and the pig growth cycle in recent 10 years, we establish a new pork price model by using linear regression and residual fitting method. Compared with the real pork price data, the fitting precision of the presented model can be smaller than 1.5%. This pork price model can be used to forecast the future distribution range of pork price in China in the future roughly.
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How to cite this article
Qu Hongquan, Li Chenzheng, Zhang Changnian, Chen Xinyue and Liu Yuting, 2013. Model to Predict Pork Price Based on Broad Money Supply and Production Cycles
in China. Information Technology Journal, 12: 3320-3324.
DOI: 10.3923/itj.2013.3320.3324
URL: https://scialert.net/abstract/?doi=itj.2013.3320.3324
DOI: 10.3923/itj.2013.3320.3324
URL: https://scialert.net/abstract/?doi=itj.2013.3320.3324
REFERENCES
- Kong, F., L. Xin, W. Yu, J. Wu and Y. Zhang, 2013. Designation of RandD on pig production intelligent monitoring and early warning. Proceedings of the International Conference on Computer and Computing Technologies in Agriculture VI, October 19-21, 2012, Zhangjiajie, China, pp: 282-289.
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