| 区域创新生态系统共生对地区科技创新影响研究 |
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| 引用本文： | 李晓娣,张小燕.区域创新生态系统共生对地区科技创新影响研究[J].科学学研究,2019,37(5):909-918. |
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| 作者姓名： | 李晓娣 张小燕 |
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| 作者单位： | 哈尔滨工程大学经济管理学院 |
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| 基金项目： | 国家社会科学基金重大项目;实施创新驱动发展战略研究;黑龙江省哲学社会科学研究规划项目 |
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| 摘 要： | 建设创新生态系统并发挥共生效应是推动地区科技创新发展的首选战略。结合2007-2015年中国30个省市相关数据,利用共生测度模型计算我国区域创新生态系统共生度,并进一步建立静态和动态面板数据模型,实证分析区域创新生态系统共生与科技创新绩效间的关系。研究结果表明：我国区域创新生态系统共生度整体呈“U”型发展特征,东部地区远高于中西部地区,地区间差异较大且下降幅度尚显微弱;短期内创新生态系统共生对科技创新的促进作用相对较弱,共生单元的作用效果并不显著,而长期内创新生态系统共生的正向驱动效应明显放大,且共生单元呈负向抑制作用;地区科技创新的累积效应明显,共生基质、共生平台和共生环境始终对科技创新具有正向驱动作用,而共生网络的正向驱动效应均不明显。
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| 关 键 词： | 区域创新生态系统 共生 科技创新 面板模型 共生网络 共生平台 |
| 收稿时间： | 2018-05-21 |
Research on the influence of regional innovation ecosystem symbiosis on regional sci-tech innovation |
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| Abstract: | Building the innovation ecosystem and playing a symbiotic role is the preferred strategy for promoting the development of regional sci-tech innovation. Combined with relevant data from 30 provinces in China from 2007 to 2015, the symbiosis level of China's regional innovation ecosystem using the symbiotic measurement model is measured, and the relationship between regional innovation ecosystem symbiosis and sci-tech innovation is empirically analyzed by establishing the static and dynamic panel data model. The results show that: the symbiosis degree of regional innovation ecosystem is generally characterized by "U", the eastern region is much higher than the central and western regions, the regional differences are large and the decline is still weak. In the short term, innovation ecosystem symbiosis has a relatively weak role in promoting sci-tech innovation, and the effect of symbiosis unit is not significant, in the long term, the positive driving effect of innovation ecosystem symbiosis is obviously amplified, and the symbiosis unit has a negative inhibitory effect on sci-tech innovation. The accumulative effects of sci-tech innovation are obvious, the symbiosis matrix, symbiosis platform, and symbiosis environment always have positive driving effects on sci-tech innovation, and the positive driving effects of symbiosis network is not obvious. |
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