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作 者:王文成[1,2] 隋苑 WANG Wencheng;SUI Yuan(Jilin University,Changchun,China)
机构地区:[1]吉林大学中国国有经济研究中心,长春市130012 [2]吉林大学经济学院,长春市130012
出 处:《管理学报》2022年第5期696-704,共9页Chinese Journal of Management
基 金:国家社会科学基金资助项目(17BJY222);吉林大学研究生创新研究计划项目(101832020CX033)。
摘 要:以2001~2019年中国30个省级行政区面板数据为样本,采用三阶段DEA模型测算区域创新效率,并结合空间杜宾模型,探究生产性服务业和高技术产业协同集聚对区域创新效率的空间效应。研究发现,生产性服务业和高技术产业协同集聚能够显著提升本地区创新效率,但对邻近地区没有明显影响。进一步研究发现:生产性服务业和高技术产业协同集聚对本地区创新纯技术效率的提升幅度小于规模效率;在全国层面及分区域层面,信息传输、软件和信息技术服务业与高技术产业协同集聚均未能提升本地区创新效率;在中部地区,生产性服务业以及5个细分行业与高技术产业协同集聚均未能对本地区和邻近地区的创新效率产生正向作用。Based on the panel data of 30 provincial-level administrative regions in China from 2001 to 2019, this study utilizes the three-stage data envelopment analysis(DEA) model to measure the efficiency of regional innovation. Furthermore, the Dubin model is combined to explore the spatial effect of co-agglomeration of producer services and high-tech industries on regional innovation efficiency. The experimental results demonstrate that the co-agglomeration of producer services and high-tech industries can significantly improve the regional innovation efficiency but has no significant impact on neighboring regions. Further research proves that, compared with the scale efficiency, the co-agglomeration of producer services and high-tech industries has a smaller improvement degree for the pure technological efficiency of innovation;at the national level and sub-regional level, the co-agglomeration of high-tech industries and information transmission, software and information technology services fails to improve the efficiency of regional innovation;in the central area of China, the co-agglomeration of high-tech industries and producer services or its five sub-industries has no positive effect on the innovation efficiency in the region and its neighboring regions.
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