Share This Article:

Based on the Theory of Grey System to Forecast China's Business Volume of Express Services

Abstract Full-Text HTML XML Download Download as PDF (Size:818KB) PP. 283-288
DOI: 10.4236/me.2015.62025    2,820 Downloads   3,383 Views   Citations

ABSTRACT

With the rapid growth of economy, the popularization of the Internet, the rise of online shopping, China’s express delivery industry showed rapid growth trend, and the competition of the express industry market is becoming increasingly fierce. According to the data of business volume of express services from 2001 to 2013, this paper analyzes the factors affecting China’s business volume of express services through the grey correlation degree analysis, and forecasts express busi- ness volume in 2014 and 2015 by using the grey forecasting method to establish GM (1,1) model.

Cite this paper

Tang, S. and Deng, G. (2015) Based on the Theory of Grey System to Forecast China's Business Volume of Express Services. Modern Economy, 6, 283-288. doi: 10.4236/me.2015.62025.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Li, J.Y. (2011) Based on the Development of the Industry Association of China’s Express Delivery Industry Research. Shanghai Normal University, Shanghai.
[2] Peng, L.C. (2011) Analysis of the Advantages and Disadvantages of China’s Express Industry Development. Market Modernization, 656, 40-41.
[3] Wang, L.H. (2012) Based on GM(1,1) Model to Forecast China’s Revenue from Express Service. Logistics Technology, 31, 84-86.
[4] Cao, M.X. (2007) Research on Grey Incidence Analysis Model and Its Application. Nanjing University of Aeronautics and Astronautics, Nanjing.
[5] Wang, W.T. and Huang, B.Z. (2011) An Empirical Study of Influencing Factors in the Express Industry Development. China Logistics & Purchasing, 13, 74-75.
[6] Deng, J.L. (1990) The Grey System Theory Tutorial. Huazhong University of Science and Technology Press Co., Ltd., Wuhan.
[7] (2014) China Statistical Yearbook. National Bureau of Statistics of China, Beijing.
[8] Xu, G.X. (2008) Statistical Forecasting and Decision-Making. 3rd Edition, Shanghai University of Finance & Economics Press Co., Ltd., Shanghai.
[9] Wu, H.R. (1990) Applied Grey Model to Forecast Business Volume of Postal and Postal and Telecommunication Services. Journal of Nanjing Institute of Posts and Telecommunications, 10, 91-94.
[10] Ji, T. (2012) Analysis of Influencing Factors on Express Industry. Nanjing University of Posts and Telecommunications, Nanjing.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.