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中国创新型产业集群创新效率研究
引用本文:沙德春,胡鑫慧,赵翠萍.中国创新型产业集群创新效率研究[J].技术经济,2021,40(2):18-27.
作者姓名:沙德春  胡鑫慧  赵翠萍
作者单位:河南农业大学信息与管理科学学院,河南农业大学信息与管理科学学院,
基金项目:河南省高层次人才特殊支持中原千人计划——中原青年拔尖人才项目:农业科技创新驱动乡村振兴的路径机制(ZYQR201912202);河南省软科学研究项目“黄河流域生态保护和高质量发展的实践模式与推进机制”(212400410087);河南省高校科技创新人才(人文社科类)支持计划:创业生态系统理论与实践研究(2018-cx-002);河南省重点软科学研究项目:高新区绩效评价指标体系构建研究(202400410046)
摘    要:创新型产业集群是培育新型产业、推动区域创新的重要载体。运用数据包络分析(DEA)方法,对我国109个创新型产业集群创新效率进行分析。研究结果表明:我国创新型产业集群整体综合效率较低,仅十分之一的集群综合效率为DEA运行有效;各省区间创新型产业集群创新效率存在较明显的区域差异,总体呈现“东高西低”的分布态势;对于DEA无效的创新型产业集群,企业总数、创新服务机构数、上缴税费对创新效率影响较为显著。建议从调节资源配置比例、构建资源共享机制、优化创新服务模式等方面采取措施提高我国创新型产业集群的创新效率。

关 键 词:创新型产业集群  创新效率  数据包络分析  中国
收稿时间:2020/3/14 0:00:00
修稿时间:2021/1/23 0:00:00

Innovation Efficiency of Innovative Industrial Clusters in China
Institution:College of Information and Management Science, Henan Agricultural,College of Information and Management Science, Henan Agricultural,
Abstract:Innovative industrial clusters are is an important platforms carrier to for cultivatinge new industries and promotinge regional innovation. Data Envelopment Analysis (DEA) is used to analyze the innovation efficiency of 109 innovative industrial clusters in China. The results show that the overall comprehensive efficiency of innovative industrial clusters in China is low, and only one tenth of the total efficiency of innovative industrial clusters is effective for DEA operation. There are obvious regional differences in innovation efficiency of innovative industrial clusters amongacross provinces and regions, and the overall distribution trend is "high in the East and low in the west". For innovative industrial clusters with ineffective DEA, the total number of enterprises, innovative service institutions and tax payment have a significant impact on innovation efficiency. It is suggested that appropriate measures should be taken to improve the innovation efficiency of China''s innovative industrial clusters by adjusting the proportion of resource allocation, building constructing the resource sharing mechanism, of resource sharing and optimizing the innovative service models.
Keywords:innovative industrial cluster  innovation efficiency  data envelopment analysis  China
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