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The Study of Sino-Russian Trade Forecasting Based on the Improved Grey Prediction Model

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhen-zhong Zhang

    (North China Electric Power University)

  • Shuang Liu

    (North China Electric Power University
    Hebei University)

  • Li-xia Tian

    (North China Electric Power University)

Abstract

In this paper, we improved the traditional GM (1,1) model with the other-dimensional gray-scale by-ways, which has a higher accuracy, and predicted the Sino-Russian future trade. First of all, we introduced the theory of GM (1,1) grey and GM (1,1) grey equidimensional filling vacancies. Secondly, we established GM (1,1) grey forecasting model of equidimensional filling vacancies by using the trade volume between China and Russia from 2000 to 2011. Then, we forecasted the Sino-Russian trade in 2012. At the end of the paper, we analyzed the forecast results, and we found that Sino Russian trade still has very large development space.

Suggested Citation

  • Zhen-zhong Zhang & Shuang Liu & Li-xia Tian, 2013. "The Study of Sino-Russian Trade Forecasting Based on the Improved Grey Prediction Model," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 637-644, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_66
    DOI: 10.1007/978-3-642-38391-5_66
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