高技术产业2013~2022年研发投入与创新绩效实证研究
An Empirical Study on R&D Investment and Innovation Performance of High-Tech Industry in 2013~2022
摘要: 为探究我国高技术产业研发投入与创新绩效之间的关系，本文根据随机前沿分析方法，以Cobb-Douglas生产函数为基础进行建模，通过Pearson相关分析与逐步回归分析对我国2013~2022年高技术产业相关情况进行实证研究。研究发现：高技术产业的研发投入对创新绩效具有非常突出的正效应，但各个指标对其产生的效果各有差异。总结具体结论后对企业和政府在投入资源配置方面提出相应的建议。
Abstract:
To explore the relationship between R&D investment and innovation performance in China’s high-tech industry, this paper uses stochastic frontier analysis method and Cobb-Douglas production function as the basis for modeling. Pearson correlation analysis and stepwise regression analysis are used to empirically study the relevant situation of China’s high-tech industry from 2013 to 2022. Research has found that R&D investment in high-tech industries has a very prominent positive effect on innovation performance, but the effects of various indicators on it vary. Summarize specific conclusions and provide corresponding suggestions for enterprises and governments in resource allocation.
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