A study on the operational efficiency of China's Public Innovation Space

DOI

10.2991/iafsm-18.2019.12How to use a DOI?

Keywords

Public innovation space; Operational efficiency; K-value clustering.

Abstract

With the gradual deepening and expansion of research questions, the research on the development of public innovation space in China in recent years has been transformed from the original qualitative analysis of connotation, function, service path and development mode to the exploration of combination of qualitative and quantitative. In this paper, data envelopment analysis was used to determine the operating efficiency of the national record-setting public innovation space in 29 provinces and regions in China in 2016. The research shows that the provincial region with a comprehensive efficiency of 1 is only 28% of the total, and there are some efficiency defects in other regions. Then, the k-value clustering is used to classify the operating results of China's provincial-level public innovation space and put forward improvement direction, hoping to provide reference for the construction and development and the advancement of China's scientific and technological progress.

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  - YunKe Yang
AU  - Xin Gu
AU  - Tao Wang
PY  - 2019/03
DA  - 2019/03
TI  - A study on the operational efficiency of China's Public Innovation Space
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2018)
PB  - Atlantis Press
SP  - 72
EP  - 77
SN  - 2352-5428
UR  - https://doi.org/10.2991/iafsm-18.2019.12
DO  - 10.2991/iafsm-18.2019.12
ID  - Yang2019/03
ER  -