Research on financing efficiency of big data industry based on three stage DEA - Taking Guizhou Province as an example

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/).

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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  -