Research on financing efficiency of big data industry based on three stage DEA - Taking Guizhou Province as an example
Authors
Chenggang Li, Kang Pan
Corresponding Author
Chenggang Li
Available Online February 2018.
- DOI
- 10.2991/ifmeita-17.2018.74How to use a DOI?
- Keywords
- three stage DEA model; financing efficiency; big data industry; environmental factors
- Abstract
Using 20 listed companies of big data industry in Guizhou Province as samples, this paper uses three stage DEA method to evaluate the financing efficiency of big data industry in Guizhou Province. The evaluation results based on three stage DEA show that the average of pure technology efficiency is 0.92, the average of scale efficiency is 0.703, and the average of comprehensive efficiency is 0.648. This indicates that the financing efficiency big data industry in Guizhou Province is low. Differential test shows that the difference of comprehensive efficiency is mainly caused by the difference of scale efficiency.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chenggang Li AU - Kang Pan PY - 2018/02 DA - 2018/02 TI - Research on financing efficiency of big data industry based on three stage DEA - Taking Guizhou Province as an example BT - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017) PB - Atlantis Press SP - 438 EP - 442 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-17.2018.74 DO - 10.2991/ifmeita-17.2018.74 ID - Li2018/02 ER -