Evaluation of Regional Innovation Efficiency in China Based on Three-Stage DEA Model

DOI

10.2991/febm-19.2019.20How to use a DOI?

Keywords

regional innovation; three-stage DEA model; regional difference

Abstract

This paper uses the three-stage DEA model to measure the regional innovation efficiency of 30 provinces in China from 2009 to 2016. The research shows that: (1) the innovation efficiency of most provinces in China is overestimated by environmental factors and random factors; (2) Except for Beijing and Zhejiang, most of the provinces have large room for improvement in regional innovation capability, and regional differences are significant; (3) Gini coefficient, coefficient of variation, and Theil index verify that there is a significant overall difference in regional innovation efficiency in China, but the difference is fluctuating. Based on this, further improvement of China's regional innovation capability requires strengthening inter-regional mobility, weakening regional innovation barriers, and promoting the establishment of regional innovation alliances to promote the coordinated development of regional innovation.

Copyright

© 2019, 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  - Dandan Wei
PY  - 2019/12
DA  - 2019/12
TI  - Evaluation of Regional Innovation Efficiency in China Based on Three-Stage DEA Model
BT  - Proceedings of the Fourth International Conference on Economic and Business Management (FEBM 2019)
PB  - Atlantis Press
SP  - 45
EP  - 49
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-19.2019.20
DO  - 10.2991/febm-19.2019.20
ID  - Wei2019/12
ER  -