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A Comparative Study of the Effects of Different Industry Technology Innovation Performance Factors: Based on a GEM Semi-parametric Model

机译:不同产业技术创新绩效因素影响的比较研究:基于GEM半参数模型

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This paper constructs a semi-parametric model to study the effects of six different factors of innovation performance in different industries based on the relevant data of Growth Enterprise Market (GEM) listed companies. The empirical results show that: (1) R&D expenditures on innovation performance in most industries have a significant positive impact; (2) R&D personnel investment and government subsidies have a significant positive impact on technology innovation performance of knowledge-oriented industries; (3) technology diversity has a significant positive impact on innovation performance of technology-oriented industries; (4) the proportion of exports and company size show an inverted U-shaped relationship with technological innovation performance in some industries; and (5) the effect of semi-parametric model fit is superior to the general parameters model.
机译:本文基于创业板上市公司的相关数据,构建了一个半参数模型来研究六个不同创新绩效因素在不同行业中的影响。实证结果表明:(1)R&D支出对大多数行业的创新绩效具有显着的积极影响; (2)研发人员投入和政府补贴对知识型产业的技术创新绩效产生重大的积极影响; (3)技术多样性对技术型产业的创新绩效具有重大的积极影响; (4)出口比例和公司规模与某些行业的技术创新绩效呈倒U型关系; (5)半参数模型拟合的效果优于一般参数模型。

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