中国区域创新绩效的过程溢出与空间关联
发布时间：2018-07-28 07:31
【摘要】：将区域创新过程划分为科技研发阶段和成果转化阶段,采用基于DEA的Malmquist生产率指数测算我国两阶段区域创新绩效,结果表明:区域创新绩效存在明显的空间关联关系,呈以多个增长极为中心的组团分布,东部地区的创新优势区域相对密集,而中西部地区的创新增长极相对分散,各省份两阶段创新绩效的变化存在不同程度的差异。进一步构建科技研发绩效和成果转化绩效的动态空间面板模型,分析表明:两阶段区域创新绩效显著空间正相关,基本形成互动关联的协同创新链式结构,其中"学研"对"产"的知识溢出效应明显,而成果转化对科技研发的反馈影响较弱;分地区看,东部地区基本形成了强强联合的创新优势区域带,而中西部省份的链式创新结构尚不完整。应充分利用区域创新绩效的过程溢出和空间关联效应,强化成果转化对科技研发的反馈作用,破除区域创新壁垒,加强区域创新协作,进而提高区域创新能力和绩效。
[Abstract]:The process of regional innovation is divided into the stage of scientific and technological research and development and the stage of transformation of achievements. The regional innovation performance is measured by Malmquist productivity index based on DEA. The results show that there is an obvious spatial correlation relationship between regional innovation performance and regional innovation performance. As a group distribution with multiple growth centers, the innovation advantage areas in the eastern region are relatively dense, while the innovation growth rate in the central and western regions is relatively dispersed. There are different degrees of variation of innovation performance in the two stages of each province. The dynamic spatial panel model of R & D performance and achievement transformation performance is further constructed. The analysis shows that the spatial correlation of regional innovation performance in two stages is significantly positive, and the collaborative innovation chain structure is basically formed. Among them, the knowledge spillover effect of "learning and research" on "production" is obvious, while the feedback of scientific and technological research and development is weak by the transformation of achievements. And the chain innovation structure of the central and western provinces is not complete. We should make full use of the process spillover and spatial correlation effect of regional innovation performance, strengthen the feedback function of achievements transformation to R & D of science and technology, break down the barriers of regional innovation, strengthen regional innovation cooperation, and then improve the ability and performance of regional innovation.
【作者单位】： 中国社会科学院研究生院;中国社会科学院数量经济与技术经济研究所;
【分类号】：F124.3
本文编号：2149363
[Abstract]:The process of regional innovation is divided into the stage of scientific and technological research and development and the stage of transformation of achievements. The regional innovation performance is measured by Malmquist productivity index based on DEA. The results show that there is an obvious spatial correlation relationship between regional innovation performance and regional innovation performance. As a group distribution with multiple growth centers, the innovation advantage areas in the eastern region are relatively dense, while the innovation growth rate in the central and western regions is relatively dispersed. There are different degrees of variation of innovation performance in the two stages of each province. The dynamic spatial panel model of R & D performance and achievement transformation performance is further constructed. The analysis shows that the spatial correlation of regional innovation performance in two stages is significantly positive, and the collaborative innovation chain structure is basically formed. Among them, the knowledge spillover effect of "learning and research" on "production" is obvious, while the feedback of scientific and technological research and development is weak by the transformation of achievements. And the chain innovation structure of the central and western provinces is not complete. We should make full use of the process spillover and spatial correlation effect of regional innovation performance, strengthen the feedback function of achievements transformation to R & D of science and technology, break down the barriers of regional innovation, strengthen regional innovation cooperation, and then improve the ability and performance of regional innovation.
【作者单位】： 中国社会科学院研究生院;中国社会科学院数量经济与技术经济研究所;
【分类号】：F124.3
【相似文献】
相关期刊论文 前3条
1 张友志;顾红春;;江苏省县域创新产出的空间关联与时空演化[J];地域研究与开发;2013年06期
2 朱道才;张秀荣;许跃辉;;空间关联与合芜蚌自主创新试验区协调发展研究[J];江淮论坛;2012年05期
3 ;[J];;年期
相关硕士学位论文 前4条
1 蒋正龙;甘肃省县域经济空间关联及溢出效应研究[D];兰州大学;2015年
2 颜颖颖;我国金融支持与区域创新的空间计量实证分析[D];华侨大学;2016年
3 于欣;辽宁省经济发展的空间关联分析[D];辽宁师范大学;2012年
4 李鹏;基于ESDA的浙江省县域经济空间关联性研究[D];宁波大学;2014年
，本文编号：2149363
本文链接：https://www.wllwen.com/guanlilunwen/jixiaoguanli/2149363.html
