依存型超网络视角下江西省创新合作时空演进特征
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江西理工大学

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F124.3

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Spatial-Temporal Evolution of Innovation Cooperation in Jiangxi Province From the Perspective of Interdependent Super-Network
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    摘要:

    多维度、多主体协同创新是中西部区域创新能力提升的关键。依托联合发明专利授权数据构建区域创新合作多层超网络模型,并运用该模型分析2010—2021年江西省的知识多样性、知识独特性、主体空间辐射度、城市主体承载度等协同创新特征。结果表明:创新主体对于知识的开发力度在逐渐增强,科研院所支撑力不足;高校、电力企业及研究所、医药及医疗器械公司是城市间协同创新的关键,高校是区域开展探索式创新的核心;城市内部创新合作更为活跃,同城市外的创新活动频率呈现上升趋,作业运输和化学冶金是江西协同创新的重点领域。基于此,提出了优化区域创新合作技术知识组合结构、增强区域科研院所共性技术攻关能力、完善科研机构与企业的良性互动渠道的相关政策建议。

    Abstract:

    Multidimensional and multi-subject collaborative innovation is the key to the improvement of regional innovation capacity in central and western China. The Interdependent super-network model of regional innovation cooperation is constructed based on the joint invention patent authorization data, and the model is used to analyze the collaborative innovation characteristics such as knowledge diversity, knowledge uniqueness, the spatial radiance of subjects, and bearing degree of urban subjects in Jiangxi Province from 2010 to 2021. The results show that: the development of knowledge by innovation subjects is gradually increasing, and the support of research institutes is insufficient; universities, electric power enterprises, research institutes, pharmaceutical, and medical device companies are the keys to inter-city collaborative innovation, and universities are the core of exploratory innovation in the region; intra-city innovation cooperation is more active, and the frequency of innovation activities outside the same city shows an increasing trend, and operational transportation and chemical metallurgy are the key areas of collaborative innovation in Jiangxi. The key areas are operational transportation and chemical metallurgy. Based on this, relevant policy suggestions are put forward to optimize the structure of the technical knowledge portfolio of regional innovation cooperation, enhance the capability of regional research institutes to attack common technologies, and improve the benign interaction channels between research institutions and enterprises.

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许菱,刘道林,殷莲甜.依存型超网络视角下江西省创新合作时空演进特征[J].,2023,(11).

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  • 收稿日期:2022-10-29
  • 最后修改日期:2022-12-24
  • 录用日期:2022-12-28
  • 在线发布日期: 2024-02-27
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