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Measurement and Analysis of the Scientific and Technological Innovation Efficiency of Industrial Enterprises above a Designated Scale in China

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  • Ma Lan
  • Wang Qi
  • Wang Dalei

Abstract

To explore the technological innovation efficiency of industrial enterprises above designated size and its influencing factors under the China’s economic census industry classification, using the stochastic frontier approach to estimates the innovation efficiency of the 34 industry from 2008 to 2018. Taking the sales revenue of new products as the dependent variable, R&D capital stock and R&D personnel equivalent are taken as the independent variable, control variables are reasonably selected. The characteristics and influencing factors of innovation efficiency between industries are analyzed. The results show that the innovation efficiency of all industries in China is steadily improving, and the difference between industries is gradually narrowing. Industries with high innovation efficiency are related to future competition and national economy and people’s livelihood, while industries with low innovation efficiency are concentrated in mining and supply industry. The low input and low output industries are in the majority. The influence of innovation capital input on output is greater than that of personnel input. The proportion of state-owned property rights and capital constraints have a negative effect on innovation output, while the sales income has a positive effect on innovation output. Therefore, China should further improve the innovation efficiency of industrial industries, adopt classified policies, and increase the number of industries with low input and high output. The conclusion of the paper is of reference value to the development of China’s 14th five-year industry and the medium and long term planning.

Suggested Citation

  • Ma Lan & Wang Qi & Wang Dalei, 2023. "Measurement and Analysis of the Scientific and Technological Innovation Efficiency of Industrial Enterprises above a Designated Scale in China," SAGE Open, , vol. 13(3), pages 21582440231, August.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231194578
    DOI: 10.1177/21582440231194578
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