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众创空间集聚的连续距离测度及影响因素分析
引用本文:陈锦其,徐蔼婷,李金昌.众创空间集聚的连续距离测度及影响因素分析[J].商业经济与管理,2019,39(3):89-97.
作者姓名:陈锦其  徐蔼婷  李金昌
作者单位:1. 浙江工商大学 统计与数学学院
2. 中共浙江省委党校 马克思主义研究院
3. 浙江财经大学 数据科学学院
基金项目:国家社会科学基金项目“研发卫星账户编制方法与应用研究”;浙江省哲学社会科学重点研究基地(浙江省科学发展观与浙江发展研究中心);学科建设等
摘    要:基于253家浙江省众创空间的微观数据,文章在运用连续距离的测度方法测算众创空间集聚水平的基础上,采用零膨胀负二项回归等方法实证分析众创空间集聚的影响机制。研究发现,众创空间的地理分布存在显著的区域差异,主要分布在杭州和宁波市辖区,选址具有明显的集聚特征。回归结果显示,区域创新能力和生态环境均对众创空间的地理集聚具有促进作用,但两者之间存在明显的替代效应;尽管不能直接促进众创空间的集聚,政策引导与创新能力之间具有较显著的互补效应。据此,文章从培育创新能力和优化创新激励等方面提出了政策建议。

关 键 词:众创空间  集聚  连续距离测度  创新能力  生态环境  政策引导
收稿时间:2018-08-05

Measurement of Continuous Distance of Crowd Innovation Space Agglomeration and Analysis of Its Influence Factors
CHEN Jinqi XU Aiting LI Jinchang.Measurement of Continuous Distance of Crowd Innovation Space Agglomeration and Analysis of Its Influence Factors[J].Business Economics and Administration,2019,39(3):89-97.
Authors:CHEN Jinqi XU Aiting LI Jinchang
Institution:1. School of statistics and mathematics, Zhejiang Gongshang University
2. Department of Marxist Ideology, Party School of Zhejiang Provincial Committee of C. P. C
3. School of Data Science, Zhejiang University of Finance & Economics
Abstract:Based on the microdata of 253 crowd innovation spaces (CISs) in Zhejiang province, this paper uses a continuous distance method to measure the level of spatial agglomeration, and uses zero-inflated negative binomial regression to analyze the influence mechanism. The study finds that the geographical distribution of the CISs in cities is significantly different, and the CISs are mainly distributed in the municipal districts of Hangzhou and Ningbo. The regression results show that the regional innovation capacity and the ecological environment both promote the geographic agglomeration of the CISs, but there is a substitution effect between them. Although it cannot directly promote the agglomeration of CISs, there is a significant complementary effect between policy guidance and innovation capacity. Accordingly, this paper puts forward policy suggestions from the aspects of nurturing innovation capacity and optimizing innovation incentives.
Keywords:crowd innovation spaces  agglomeration  a continuous distance measure  innovation ability  ecological environment  policy guidance  
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