Advertisement

Study of County Level Government’s E-Government Efficiency Evaluation in Sichuan Province Based on DEA

  • Yu LiuEmail author
  • Jiawei Liu
  • Zhaohui Zhang
  • Liangqing Zhang
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

The county government plays a fundamental role in the Chinese governance. The e-government system of it can directly reflect the quality and efficiency of its service. Thus, it’s significant to evaluate the efficiency of the e-government at county level. Nowadays, there’re plenty of methods to do this kind of evaluation. This paper mainly uses principal component analysis to establish the index system, and adopts the CCR and BCC models, two of the data envelopment analysis DEA, to reflect the current input and output efficiency of 147 counties’ e-government in Sichuan Province. The analysis reveals that most of the e-governments’ comprehensive efficiency, technical efficiency and scale efficiency are non-DEA effective in county level governments of Sichuan Province, and the differences in development among them are quite distinctive. What’s more, the local governments’ information department should embark on improving their investment scale and technical efficiency in order to enhance the efficiency of e-government.

Keywords

E-government County government Data envelopment analysis Efficiency 

Notes

Acknowledgements

We would like to express our sincere appreciation to the reviewers for their insightful comments, which have greatly aided us improving the quality of the paper. This research was supported by the Soft Science Research Project of Chengdu (Grant 2016-RK00-00041-ZF).

References

  1. 1.
    Accenture (2006) E-government leadership: high performance and maximum value. http://www.accenture.com
  2. 2.
    CCCT (2015) General report on performance evaluation of Chinese government website in 2015. http://ccct.mofcom.gov.cn/article/zt_jxpg2015
  3. 3.
    Commission E (2006) i2010–a European information society for growth and employment. http://www.docin.com/p-28146066.html
  4. 4.
    CSTC (2013) 2013 Chinese government website performance evaluation index system. http://www.cstc.org.cn/templet/default/show_nbkw.jsp?article_id=123668&id=1619
  5. 5.
    CSTC (2015) 2015 Chinese government website performance evaluation results. http://www.ccidnet.com/2015/1209/10063631.shtml
  6. 6.
    CSTC SPegnoc (2014) The total report of the Sichuan government website performance evaluation 2014Google Scholar
  7. 7.
    Guo X, Zou J (2015) A summary of the current situation and pattern of e-government development in China’s rural areas. E-Government 1:90–96 (in Chinese)Google Scholar
  8. 8.
    Kao C (2015) Evaluation and improvement of e-government: the case of European countries. In: International conference on E-democracy & E-government, pp 1211–1216Google Scholar
  9. 9.
    Luna DE et al (2010) Using data envelopment analysis (DEA) to assess government web portals performance. In: Proceedings of the 13th annual international conference on digital government research, pp 107–115Google Scholar
  10. 10.
    Luo D, Shi Y (2010) Evaluation on e-government websites based on rough set and genetic neural network algorithm. In: Proceedings of the third international symposium on computer science and computational technology, pp 124–128Google Scholar
  11. 11.
    Nations U (2014) United nations e-government survey 2014: E-government for the future we wantGoogle Scholar
  12. 12.
    Research C (2004) Description of government website evaluation index system. http://dc.ccw.com.cn
  13. 13.
    Rorissa A, Demissie D, Pardo T (2011) Benchmarking e-government: a comparison of frameworks for computing e-government index and ranking. Gov Inf Q 28:354–362 (in English)CrossRefGoogle Scholar
  14. 14.
    Song M, Guan Y (2014) The electronic government performance of environmental protection administrations in Anhui province. Technol Forecast Soc Change 96:79–88 (in Chinese)CrossRefGoogle Scholar
  15. 15.
    Song M, Guan Y (2015) Measuring e-government performance of provincial government website in China with slacks-based efficiency measurement. Technol Forecast Soc Change 39:25–31 (in Chinese)Google Scholar
  16. 16.
    Sichuan Provincial Bureau of Statistics SPB (2014) Sichuan province statistical yearbook 2014Google Scholar
  17. 17.
    Zdjelar R (2013) Measuring success of implementation county development strategy by using balanced scorecard method. In: International convention on information & communication technology electronics & microelectronics, pp 1211–1216Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Yu Liu
    • 1
    Email author
  • Jiawei Liu
    • 1
  • Zhaohui Zhang
    • 1
  • Liangqing Zhang
    • 1
  1. 1.School of Political Science and Public AdministrationUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

Personalised recommendations