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Threshold Effect of Knowledge Accumulation between Innovation Path and Innovation Performance: New Evidence from China's High-tech Industry

机译:创新路径与创新绩效之间知识积累的阈值效应:来自中国高科技产业的新证据

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摘要

In the process of transitioning from closed to open innovation, regions in developing countries need to understand how to choose the most effective path within the complex innovation system while considering their own innovation factors. Based on provincial panel data from China's high-tech industry and the improved dynamic threshold model, we introduce the threshold of knowledge accumulation (KLA) into the non-linear mechanism between innovation paths and innovation performance to compare the dynamic threshold effect and its heterogeneity. This research provides interesting insights into innovation paths, showing that the relationship between the innovation path and innovation performance is significantly influenced by the threshold effect of KLA. As the level of KLA strengthens, its effects on each innovation path change. Overall, this article shows how KLA affects the relationship between the innovation path and innovation performance. The article concludes with a discussion of the implications of these insights for innovation management and policy.
机译:在从封闭式创新向开放式创新过渡的过程中,发展中国家的地区需要了解如何在复杂的创新系统中选择最有效的路径,同时考虑其自身的创新因素。基于中国高新技术产业的省级面板数据和改进的动态阈值模型,我们将知识积累阈值(KLA)引入创新路径与创新绩效之间的非线性机制中,以比较动态阈值效应及其异质性。这项研究为创新路径提供了有趣的见解,表明创新路径与创新绩效之间的关系受到KLA阈值效应的显着影响。随着KLA级别的提高,其对每条创新路径的影响也会发生变化。总体而言,本文显示了KLA如何影响创新路径与创新绩效之间的关系。本文最后讨论了这些见解对创新管理和政策的影响。

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  • 来源
    《Science, technology & society》 |2018年第1期|163-184|共22页
  • 作者

    Chen Heng; Hou Jian; Chen Wei;

  • 作者单位

    Harbin Engn Univ, Sch Econ & Management, Harbin, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Sch Econ & Management, Harbin, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Sch Econ & Management, Harbin, Heilongjiang, Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 02:58:17

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