中国众创空间运营效率评价及影响因素研究

Mass Innovation Space Operational Efficiency and influencing factors in China

摘要:

运用DEA-BCC模型和DEA－Malmquist 指数模型对中国2016~2017年31个省市众创空间的运营效率进行测算。结果表明中国众创空间整体运营效率良好，造成部分地区众创空间效率低下的主要原因是规模效率低下；进一步，通过聚类分析将全国众创空间划分成相对高效型，规模低效型，技术低效型和完全低效型四种，并通过投影分析对众创空间的投入和产出进行调整；最后，通过模糊集定性比较分析（fsQCA）提出两类触发众创空间高运营效率的前因构型，提出进一步提升众创空间运营效率的建议。

Abstract:

In this paper，DEA-BCC model and DEA-Malmquist index model were used to calculate the operation efficiency of crowd innovation space in 31 provinces and cities in China from 2016 to 2017. The results show that the overall operation efficiency of mass innovation space in China is good, and the main reason for the low efficiency of mass innovation space in some regions is the low scale efficiency. Further, the national crowd innovation space is divided into four types by cluster analysis: relatively high-efficiency type, scale low-efficiency type, technology low-efficiency type and complete low-efficiency type, and the input and output of crowd innovation space are adjusted by projection analysis. Finally, through qualitative comparative analysis of fuzzy sets (fsQCA), two types of antecedent configurations that trigger the high operating efficiency of mass innovation space are proposed, and suggestions for further improving the operating efficiency of mass innovation space are put forward.