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A study on the technological innovation efficiency of China’s high-tech industries based on three-stage DEA and Malmquist index

Author

Listed:
  • Chen Wei

    (East of Heilongjiang University
    Harbin Engineering University)

  • Li Yuan

    (East of Heilongjiang University)

Abstract

The efficiency of technological innovation plays a crucial role in the high-quality development of China’s high-tech industry. In this paper, 30 provinces in China are selected as research samples, and the three-stage DEA model and Malmquist productivity index are used to conduct static and dynamic research on the technological innovation efficiency of high-tech industries in each province during the period of the “12th Five-Year Plan” to the “14th Five-Year Plan”. At the same time, the grey prediction model and Tobit regression model are used to predict the technological innovation efficiency and analyse its influencing factors. The research results show that: in terms of static and dynamic analysis, after excluding the influence of environmental variables and random perturbations, comprehensive efficiency and scale efficiency are underestimated, while pure technical efficiency does not change, but the decline of scale efficiency becomes the primary reason restricting the improvement of technological innovation efficiency of China’s hi-tech industries; through the dynamic analysis of the Malmquist index, it can be seen that the improvement of technological efficiency of China’s hi-tech industries It is mainly reflected in pure technical efficiency, but the decrease of technical efficiency affects the improvement of technical innovation efficiency of Chinese high-tech industry. In the forecast of technological innovation efficiency, the input and output indicators of technological innovation efficiency of China’s high-tech industry in the period of 2023–2027 have a rising trend year by year, and among the nine indicators, the average annual growth of new product development expenditure is the fastest. In terms of influencing factors, the level of financial services and higher education significantly influence, while the degree of openness to the outside world and the degree of government expenditure do not have a significant impact.

Suggested Citation

  • Chen Wei & Li Yuan, 2025. "A study on the technological innovation efficiency of China’s high-tech industries based on three-stage DEA and Malmquist index," Operational Research, Springer, vol. 25(1), pages 1-42, March.
    • Handle: RePEc:spr:operea:v:25:y:2025:i:1:d:10.1007_s12351-024-00894-x
    DOI: 10.1007/s12351-024-00894-x
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