四川省科技创新效率及其创新生产率变动分析——基于SBM-Malmquist模型
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Analysis on the Efficiency and Productivity of Scientific and Technological Innovation in Sichuan Province:Based on SBM-Malmquist model
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    摘要:

    基于四川省2011—2018年21个市(州)的面板数据,采用SBM-Malmquist模型对科技创新效率及其创新生产率的变动进行测算和比较分析。研究结果表明:2011—2018年四川省21个市(州)的科技创新效率水平较低,且总体呈现出先下降后上升的趋势;五大经济区之间的科技创新效率差异明显,由高到低依次是攀西经济区、成都平原经济区、川西北生态经济区、川东北经济区、川南经济区;总体创新生产率的变化呈上升趋势,且各市(州)创新生产率的变动有区域集中性特征,相邻城市有相同的变动趋势。

    Abstract:

    Based on the panel data of 21 cities (prefecture-level cities) in Sichuan Province from 2011 to 2018, the SBM-Malmquist model is used to measure and compare the change of S&T innovation efficiency and innovation productivity. The research results show that the technological innovation efficiency of 21 cities (prefectures) in Sichuan Province is relatively low from 2011 to 2018, and generally shows a trend of first decreasing and then increasing. The scientific and technological innovation efficiency of five economic zones in Sichuan Province is obviously different from panxi economic zone, Chengdu Plain economic zone, northwest Sichuan ecological economic zone, northeast Sichuan economic zone and south Sichuan economic zone in descending order. The change of overall innovation productivity showed an upward trend, and the change of innovation productivity in all cities and states showed regional concentration, and so on the change trend of neighboring cities . According to the above research results, countermeasures and suggestions are put forward from three perspectives: government fiscal and tax subsidies, introduction of skilled talents, and strengthening of intellectual property protection, in order to provide beneficial enlightenment for regional optimization of scientific and technological resources allocation.

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苟晨阳,李天宇.四川省科技创新效率及其创新生产率变动分析——基于SBM-Malmquist模型[J].科技与产业,2022,22(06):232-237

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  • 在线发布日期: 2022-07-04
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