Skip to main content
SpringerLink
Log in

Analysis of Market Opportunities for Chinese Private Express Delivery Industry

  • Conference paper
  • First Online:
Book cover Information Systems Development

Abstract

China’s express delivery market has become the arena in which each express enterprise struggles to chase due to the huge potential demand and high profitable prospects. So certain qualitative and quantitative forecast for the future changes of China’s express delivery market will help enterprises understand various types of market conditions and social changes in demand and adjust business activities to enhance their competitiveness timely. The development of China’s express delivery industry is first introduced in this chapter. Then the theoretical basis of the regression model is overviewed. We also predict the demand trends of China’s express delivery market by using Pearson correlation analysis and regression analysis from qualitative and quantitative aspects, respectively. Finally, we draw some conclusions and recommendations for China’s express delivery industry.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Li Qian, Lv Li Ping, and Yan Jing Dong (2008) China’s express industry industry analysis.Business Economics 8: 110–111.

    Google Scholar 

  2. Chen Shi Yang (2007) Express industry in our country the status quo and countermeasures. China Water Transport 9: 194–195.

    Google Scholar 

  3. Henderson C. R. (1950) Estimation of genetic parameters. The Annals of Mathematical Statistics 21: 309–310.

    Google Scholar 

  4. Rao C. R. (1976) Estimation of parameters in a linear model. The Annals of Statistics 4: 1023–1037.

    Article  MATH  MathSciNet  Google Scholar 

  5. Kees Jan van Garderen (2001) Optimal prediction in loglinear models. Journal of Econometrics 104: 119–140.

    Article  MATH  MathSciNet  Google Scholar 

  6. Royall R. M. (1970) On finite population sampling theory under certain linear regression models. Biometrika 57: 377–387.

    Article  MATH  Google Scholar 

  7. Royall R. M. and Herson J. H. (1973) Robust estimation in finite populations. American Statistical Association 68: 880–889.

    Article  MATH  MathSciNet  Google Scholar 

  8. Pereira C. A. B., and Rodrigues J. (1983) Robust linear prediction in finite populations. International Statistical Review 51: 293–300.

    Article  MATH  MathSciNet  Google Scholar 

  9. Yoshikazu Takada (1981) Relation of the best invariant prediction and the best unbiased prediction location and scale families. The Annals of Statistics 9: 917–921.

    Article  MATH  MathSciNet  Google Scholar 

  10. Gauri Sankar Datta, and Malay Ghosh (1991) Bayesian prediction in linear models: Applications to small area estimation. The Annals of Statistics 19: 1748–1770.

    Article  MATH  MathSciNet  Google Scholar 

  11. Richard M. Royall, and Dany Pfeffermann (1982) Balanced samples and robust Bayesian inference in finite population sampling. Biometrika 69: 401–409.

    Article  MATH  MathSciNet  Google Scholar 

  12. C. Radhakrishna Rao (1987) Prediction of future observations in growth curve models. Statistical Science 4: 434–471.

    Google Scholar 

  13. Leung M. T., Chen A. S., and Daouk H. (2000) Forecasting exchange rates using general regression neural networks. Computers & Operations Research 27: 1093–1110.

    Article  MATH  Google Scholar 

  14. Christiaan Heij, Patrick J. F. Groenen, and Dick van Dijk (2007) Forecast comparison of principal component regression and principal covariate regression. Computational Statistics & Data Analysis 51: 3612–3625.

    Article  MATH  MathSciNet  Google Scholar 

  15. Syed Shahabuddin (2009) Forecasting automobile sales. Management Research News 7: 32–42.

    Google Scholar 

  16. Yu Jian Ying, and He Xu Hong (2006) SPSS Statistical Data Analysis and Application, pp. 194–196. Beijing: Posts & Telecommunications Press (in Chinese).

    Google Scholar 

  17. National Bureau of Statistics of China (2008) China Statistical Yearbook 2007, pp. 210–252. Beijing: China Statistics Press (in Chinese).

    Google Scholar 

Download references

Acknowledgments

It is a project supported by philosophy and social science in Zhejiang Province (07CGLJ018YBX), the results of Center for Research in Modern Business, Zhejiang Gongshang University (the important research base for high school social and science of High Education Department), and the normal project of philosophy and social science in Hangzhou (D07GL07).

Author information

Authors and Affiliations

  1. College of Information Management, Zhejiang Gongshang University, Hangzhou, China

    Changbing Jiang & Lijun Bai

  2. Hangzhou University of Commerce, Zhejiang Gongshang University, Hangzhou, China

    Xiaoqing Tong

Authors
  1. Changbing Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lijun Bai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiaoqing Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Changbing Jiang .

Editor information

Editors and Affiliations

  1. Durham University, Durham, DH1 3LE, United Kingdom

    William Wei Song

  2. , School of Information Technology, Jiangxi University of Finance and Econom, Nanchang, 330013, Jiangxi, China, People's Republic

    Shenghua Xu

  3. Finance & Economics, School of Information Management, Jiangxi University of, Fenglin Rd., Nanchang, 330013, Jiangxi, China, People's Republic

    Changxuan Wan

  4. UFIDA Software Technology College, Jiangxi University of Finance & Economic, Fenglin Rd., Nanchang, 330013, Jiangxi, China, People's Republic

    Yuansheng Zhong

  5. College of Business & Economics, Dept. Information Technology &, Boise State University, Univesity Dr. 1910, Boise, 83725-1615, Idaho, USA

    Wita Wojtkowski

  6. College of Business & Economics, Dept. Information Technology &, Boise State University, Univesity Dr. 1910, Boise, 83725-1615, Idaho, USA

    Gregory Wojtkowski

  7. Fac. Information Technology, Monash University, Clayton, 3800, Victoria, Australia

    Henry Linger

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this paper

Cite this paper

Jiang, C., Bai, L., Tong, X. (2011). Analysis of Market Opportunities for Chinese Private Express Delivery Industry. In: Song, W., et al. Information Systems Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7355-9_33

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-7355-9_33

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-7205-7

  • Online ISBN: 978-1-4419-7355-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation