Science Research Management ›› 2024, Vol. 45 ›› Issue (6): 95-104.DOI: 10.19571/j.cnki.1000-2995.2024.06.010

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Research on the impact of R&D resource mismatch on the efficiency of industrial green technology innovation:Based on the threshold effect of digital economy

Fan Decheng, Jia Mingzhe   

  1. School of Economics and Management, Harbin Engineering University, Harbin 150001, Heilongjiang, China
  • Received:2023-01-02 Revised:2023-11-02 Online:2024-06-20 Published:2024-05-29

Abstract:     Industrial green technology innovation is an important link to promote green development and harmonious coexistence between man and nature, and it plays a vital role in promoting the development of real economy and promoting new industrialization. However, the unreasonable allocation of R&D resources restricts the improvement of the innovation efficiency of industrial green technology and seriously hinders the process of China′s green development. With the rapid development of digital technology, digital economy has achieved unprecedented development, and it has a profound impact on the mode of production and production factors. Based on the panel data of 30 provincial-level regions in China from 2011 to 2020, this paper studied and measured the impact of R&D resource mismatch on innovation efficiency of industrial green technology, as well as the impact mechanism of digital economy development on R&D resource mismatch and innovation efficiency of industrial green technology.Introducing the harmless rate of industrial solid waste representing environmental benefits into the measurement index system of the innovation efficiency of industrial green technology, this paper used the super efficiency SBM model to estimate the innovation efficiency of China′s industrial green technology, and calculate the degree of mismatch of R&D resources by modeling. A two-way fixed effect model of time and individual was established to analyze the influence of R&D resource mismatch on innovation efficiency of industrial green technology. A threshold effect model was built to regress and analyze the threshold effect that digital economy plays a coordinating role in R&D resource mismatch and innovation efficiency of industrial green technology. The results show that: (1) The industrial R&D resources in 30 provincial-level administrative regions in China have shown a shortage of allocation, and the efficiency of industrial green technology innovation shows strong regional heterogeneity; (2) The mismatch of R&D personnel and capital will significantly inhibit the improvement of China′s innovation efficiency of industrial green technology. The regression results showed that compared with R&D personnel, R&D capital mismatch has a stronger and more significant inhibitory effect on the efficiency of industrial green technology innovation; (3) Under the moderating effect of digital economy, R&D resource mismatch has a U-shaped influence mechanism on the efficiency of industrial green technology innovation. When the digital economy reaches the threshold value, R&D personnel and capital will change from inhibiting the improvement of efficiency to promoting the improvement of efficiency. The threshold value of R&D personnel is higher than that of R&D capital, but the positive promotion coefficient after reaching the threshold is much larger than that of R&D capital. This paper will enrich the research ideas on the innovation efficiency of industrial green technology, and provide empirical basis and policy recommendations for accelerating the development of the digital economy, optimizing resource allocation, and promoting the efficiency of industrial green technology innovation.

Key words:  R&D resource mismatch, innovation efficiency of industrial green technology, digital economy, fixed effect, threshold effect