互联网发展、技术市场与高技术产业技术创新效率——基于SBM-熵权-Tobit模型的实证检验
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华北电力大学 经济管理系

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F062

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河北省社会科学“河北省绿色生态技术创新系统的培育及其驱动机制研究”(HB20YJ013)。


Internet Development, Technology Market and Technological Innovation Efficiency of High-Tech industry of China: Empirical analysis based on SBM-Entropy-Tobit model
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Economics and Management Department,North China Electric Power University

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    摘要:

    以技术市场发展指标作为中介变量,构建互联网发展对技术创新效率的面板回归模型,实证检验互联网发展对高技术产业技术创新带来的直接和间接影响效果。结果表明:(1). 2009 ? 2019年,技术创新效率在[0.1932, 0.4043]区间内,且上升趋势明显,成果转化阶段效率明显高于知识生产阶段。(2). 从理论方面推导互联网发展对于技术创新效率的直接影响,以及通过技术市场厚度和流畅度两种中介路径的间接影响,提出假设1~3。(3). 实证结果表明,三个理论假设在研究样本中均成立。互联网快速发展不仅对高技术产业的技术创新效率具有直接的正向驱动效应,而且通过市场厚度和市场流畅度两个中介变量,间接效应均显著为正值。在东中西三个经济区,表现出明显的异质性。“互联网+技术市场”战略是提升高技术产业创新资源优化布局发展的重要方向。

    Abstract:

    With technology market thickness and congestion as mediating variables, panel data econometric model is constructed to reveal internet development influence on technological innovation efficiency of high-tech industry and empirically evaluate the direct, indirect effects. Results are as follows. Firstly, during 2009-2019, technological innovation efficiency varies at the range [0.1932, 0.4043] and there is rising trend. Efficiency in the achievement transformation stage is significantly more than that in the knowledge production stage. Secondly, from theoretical aspect, its direct influence on technological innovation activity of internet development is analyzed in details. Moreover, internet development can affect technological innovation activity through technological market development which the two main mediating pathways are market thickness and congestion variation. Three hypotheses are to be examined. Thirdly, empirical regression results show that three hypothesis are true for high-tech industry. Internet development not only can affect technological innovation efficiency significantly in a direct and positive way, but also can influence it by the two mediating ways. Regional heterogeneity should not be ignored among eastern, middle and western China. “Internet plus technological market” strategy should be an important direction for high-tech industry to stimulate its technological innovation resource distribution optimization.

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赵巧芝,刘倬璇,崔和瑞.互联网发展、技术市场与高技术产业技术创新效率——基于SBM-熵权-Tobit模型的实证检验[J].技术经济,2022,41(6):1-10.

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  • 收稿日期:2021-11-26
  • 最后修改日期:2022-05-19
  • 录用日期:2022-04-24
  • 在线发布日期: 2022-07-05
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