| 中国创新发展的空间关联网络结构及驱动因素 |
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| 引用本文： | 中国创新发展的空间关联网络结构及驱动因素.中国创新发展的空间关联网络结构及驱动因素[J].科学学研究,2018,36(11):2055-2069. |
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| 作者姓名： | 中国创新发展的空间关联网络结构及驱动因素 |
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| 作者单位： | 1. 南昌大学经济管理学院
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| 基金项目： | 江经济创新驱动带的网络合作机制及跨区域协同治理路径研究 |
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| 摘 要： | 本文基于创新价值链视角将创新过程分为研发创新、经济转化两个阶段。利用超效率DEA模型测度了2001-2015年我国30个省市的两阶段的创新发展效率，并将其作为区域创新发展的综合测度指标；在此基础上，利用社会网络分析法对我国区域创新发展的空间关联网络结构及驱动因子进行了实证。研究发现：①两阶段区域创新发展的空间关联性均逐步增强，但研发创新阶段的网络稳定性趋于下降，而经济转化阶段的网络稳定性趋于上升；②创新发展空间关联网络呈现出显著的核心-边缘分布，东部以及内陆部分省份处于网络的核心地位；③创新发展空间关联网络可划分为双向溢出、经纪人、净溢出和净受益四个板块，区域创新发展的动能传递具有明显梯度特征；④地区间经济发展方式的差异、地理位置的邻接有助于增强两阶段创新发展的空间关联性；人力资本水平的地区差异仅对经济转化阶段创新发展的空间关联性呈现显著影响。本研究为跨区域创新网络的构建及国家创新驱动发展战略目标的实现提供了政策参考。
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| 收稿时间： | 2017-08-17 |
Study on the Spatial Network Structure and Driving Factors of Regional Innovation Development in China: based on the Perspective of Value Chain |
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| Abstract: | Based on the perspective of innovation value chain, this paper divides the innovation process into two stages: R&D innovation stage and economic transformation stage. And this paper uses the super-efficiency DEA model to measure the two stages of innovation development efficiency of 30 provinces from 2001 to 2015, which are used as the comprehensive measuring index of regional innovation development. On this basis, the social network analysis method is used to study the spatial correlation network structure and driving factors of regional innovation development in China. The main results are as follows: ①The spatial correlation of the two stages of innovation development are gradually enhanced, but the network stability of the R&D innovation stage tends to decline, and the network stability in the economic transformation stage tends to rise. ②Innovation development network presents a significant core-edge distribution, and the eastern region and some inland provinces are at the core of the network. ③Spatial correlation network of two stages of innovation development can be divided into four functional blocks, including bidirectional spillover block, broker block, net spillover block and net beneficial block, but the same blocks at different stages contain different members. ④Regional differences in economic development and geographical proximity are beneficial to enhance the spatial correlation of the two stages of innovation development, and the regional differences in the level of human capital only have a significant impact on the spatial correlation of innovation development in the economic transformation stage. This study provides a policy reference for constructing cross-regional innovation network and realizing national innovation strategic objectives. |
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