关键词: 创新资源配置效率, 影响因素, StoNED模型, Tobit模型

Abstract:

Based on the panel data of industrial enterprises above designated size in 30 provinces and autonomous regions of China from 2011 to 2020, from the perspective of input-output, according to the theory of innovation value chain, the technological innovation activities of enterprises are divided into two stages, the first being research and development of technological achievements, and the second being transformation of technological achievements. A two-stage StoNED model is constructed to measure and study the allocation efficiency of innovation resources, and the Tobit model is used to analyze the two stages. The regression analysis is used to analyze the influencing factors of the segment efficiency. The results show that the efficiency of innovation resource allocation in both stages of industrial enterprises above designated size in China is in an “inverted U-shape”. The efficiency differs significantly between regions and is arranged from high to low in an “east-middle-west” order. The regional economic development level and scientific research strength positively affect the efficiency of the research and development stage, while the enterprise asset scale and the degree of enterprise attention positively affect the efficiency of transformation stage, and the government support has no significant effect on the efficiency of both stages. The findings of this paper provide new evidence for the formulation and implementation of policies such as innovation-driven development strategy from regional industrial enterprises above designated size.

Key words: innovation resource allocation efficiency, influencing factors, StoNED model, Tobit model