Skip to main content
SpringerLink
Log in
Book cover

Proceedings of the Fourth International Forum on Decision Sciences pp 199–215Cite as

The Analysis of Internet Development Index Based on Visualization

  • Conference paper
  • First Online:

  • 2047 Accesses

Part of the book series: Uncertainty and Operations Research ((UOR))

Abstract

In this paper, we use some indicators that can explain the Internet developing condition more effectively to study the development of the Internet. Conducting factor analysis through R, we obtain two factor on the Internet developing:‘Production factor’,‘Consumption factor’. And through the methods such as unitize change into a two-dimensional Internet development index. Then, we explored the explanatory power and influence of the economic development of two indices. It is concluded that the Internet development index of provincial GDP has a strong explanatory power. At the same time, two indexes not only can response the regional Internet development, and still can well explain difference in gross regional product. In addition, we found that the explanatory power in gross regional product index2 is far worse than index1. This suggests that new dimension index added in the paper to the explanation on the economy is superior to the basic indicators. Finally, the article gives some Internet development suggestions according to the results.

This is a preview of subscription content, 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. CNNIC (2016) The 37th statistical report on Internet development in China. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201601/t20160122_53271.htm

  2. Zhou B (2015) The study on Internet’s development in China. Shandong University of Science and Technology

    Google Scholar 

  3. Hou M, Li J (2007) The influence of Internet development on regional economy. Modern Econ (Modern Property Management) 6:47–48

    Google Scholar 

  4. Sun Z, Zhang B, Wang Y, Niu J (2010) The study on relationship between Internet resources and regional economic development. Geogr Geo-Inf Sci 3:44–48

    Google Scholar 

  5. Fu L, Yu L, Chen Y, Qin W (2013) Overview on development trends of mobile Internet 2012–2013. China Internet 2:1–6

    Google Scholar 

  6. Zhang Y (2014) The influence of Internet development on China’s economic growth. Anhui University

    Google Scholar 

  7. Cha H, Zuo P (2015) The study on influence of Internet resources China economic growth—an empirical analysis based on 31 provincial panel data. Rev Econ Res 26:48–55

    Google Scholar 

  8. Datta* A, Agarwal S (2004) Telecommunications and economic growth: a panel data approach. Appl Econ 36(15):1649–1654

    Google Scholar 

  9. Choi C, Yi MH (2009) The effect of the Internet on economic growth: Evidence from cross-country panel data. Econ Lett 105(1):39–41

    Article  Google Scholar 

  10. Czernich N, Falck O, Kretschmer T et al (2011) Broadband infrastructure and economic growth*. Econ J 121(552):505–532

    Article  Google Scholar 

  11. Kiiski S, Pohjola M (2002) Cross-country diffusion of the Internet. Inf Econ Policy 14(2):297–310

    Article  Google Scholar 

  12. Elgin C (2013) Internet usage and the shadow economy: evidence from panel data. Econ Syst 37(1):111–121

    Article  Google Scholar 

  13. Meijers H (2014) Does the Internet generate economic growth, international trade, or both? IEEP 11(1–2):137–163

    Article  Google Scholar 

  14. López-Hernández FA (2013) Second-order polynomial spatial error model. Global and local spatial dependence in unemployment in Andalusia. Econ Model 33:270–279

    Article  Google Scholar 

  15. Tong L, Ge X, Wang C, Tuo H, Liu J (2013) Analysis on the development level of the central plains economic zone based on GIS. Geospatial Inf 1:97–98+14

    Google Scholar 

  16. Du T, Xie X, Liang H, Huang A, Han Q (2014) County economy comprehensive evaluation and spatial analysis in Chongqing City based on entropy weight-TOPSIS and GIS. Econ Geogr 06:40–47

    Google Scholar 

  17. Quinn JW, Mooney SJ, Sheehan DM et al (2016) Neighborhood physical disorder in New York City. J Maps 12(1):53–60

    Article  Google Scholar 

  18. Hayek UW, Teich M, Klein TM et al (2016) Bringing ecosystem services indicators into spatial planning practice: lessons from collaborative development of a web-based visualization platform. Ecol Ind 61:90–99

    Article  Google Scholar 

  19. Neset TS, Opach T, Lion P et al (2016) Map-based web tools supporting climate change adaptation. Prof Geogr 68(1):103–114

    Article  Google Scholar 

  20. Johnson RA, Wichern DW (2015) Applied multivariate statistical analysis. Tsinghua University Press, Beijing

    Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (71171128) and Research Fund of Program Foundation of Education Ministry of China under Grant (10YJA790233).

Author information

Authors and Affiliations

  1. School of Economic, Shanghai University, Shanghai, 200444, China

    Wenjun Lu, Mingzhao Xie & Yirong Ying

Authors
  1. Wenjun Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mingzhao Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yirong Ying
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yirong Ying .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Beijing University of Chemical Technology, Beijing, China

    Xiang Li

  2. School of Economics and Management, China University of Petroleum, Qingdao, Shandong, China

    Xiaofeng Xu

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Lu, W., Xie, M., Ying, Y. (2017). The Analysis of Internet Development Index Based on Visualization. In: Li, X., Xu, X. (eds) Proceedings of the Fourth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-10-2920-2_18

Download citation

Publish with us

Policies and ethics

Search

Navigation