Abstract

The fluctuation in the prices of agricultural products can influence people’s consumption level and the national food security, especially the rising of the price is the key factor to push CPI up. Taking ginger as the research objective, this study, uses Grey Prediction Model to study the historical price data of ginger and those related factors which lead to its price fluctuation and analyzes the tendency of price fluctuation by the relevance between the key factors and the price itself. The final purpose is to make a more accurate prediction about the price of ginger in China. The findings of this study can be used to give early warning to the fluctuation in the prices of agricultural products such as ginger, provide reference to rational planning of people’s consumption and offer theoretical support for the government to set up related policies.

Keywords:

Ginger, grey prediction model, relevance, waveform prediction model,

References

1. Chen, M.J., J.F. Li and T. He, 2014. Market analysis of 2013 of Chinese ginger market and prospect of 2014. Chinese Veg., 1: 57-60.
   
2. Deng, J.L., 1987. Basic Methods of Grey System. Huazhong University of Science and Technology Press, China.
   Direct Link
3. Li, Z.H. and Y.L. Xu, 2014. Asymmetry research on price fluctuation of agricultural products. J. Hunan Univ., Soc. Sci. Edn., 1: 53-57.
   
4. Liu, S.F. and Y. Lin, 1998. An introduction to grey systems theory. J. Grey Syst., 1: 18-20.
   Direct Link
5. Nai, X. and J.Z. Zhou, 2007. Improvement of application of grey neural network model in the prediction of electricity. Hydroelectr. Power, 6: 69-73.
   
6. Zhou, Z.G., 2006. Prediction and application of time series data mining technology of fused grey system theory and artificial neural network. Hydroelectr. Power, 30-32.
   
7. Zhou, Z.G., K. Guo and L.G. Li, 2007. Grey neural network technology of time data prediction. Jungle Knowl., 1: 130-131.
   

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.