A study on the Efficiency of Enterprise Science and Technology Innovation and the Influence Factors Based on the Two-stage SBM-DDF Model

Tian Tian () and Li Li ()
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Tian Tian: Nanjing University of Science and Technology, School of Economics and Management
Li Li: Nanjing University of Science and Technology, School of Economics and Management

A chapter in Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023), 2024, pp 231-237 from Springer

Abstract: Abstract Dividing enterprise S&T innovation activities into stage of R&D and technology transformation (TT), uses SBM-DDF model to measure and analyze the S&T innovation efficiency of enterprises in R&D and TT stage in 30 provinces and cities in China from 2010 to 2020, and finally uses Tobit model to test the influencing factors of the efficiency of the two stages. The results show that: (1) the result conversion efficiency is higher than the R&D efficiency. (2) There are obvious efficiency differences between regions. (3) Government science and technology support and opening to the outside world have a significant positive impact on the efficiency value of the two stages.

Keywords: Enterprise STI efficiency; SBM-DDF; influencing factors; Tobit model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-272-9_25

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