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Dynamic evaluation of the technological innovation efficiency of China’s industrial enterprises

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  • Shoufu Lin
  • Ji Sun
  • Shanyong Wang

Abstract

This article tries to adopt data envelopment analysis window analysis to evaluate the technological innovation efficiencies of seven types of China’s industrial enterprises during 2006–15. However, different window widths will lead to very different results. We designate the ideal window width through the scientific method rather than subjective judgments and obtain the efficiencies closer to reality. We also measure the efficiencies under the worst width opposite to the ideal window width to highlight differences. The results indicate that the efficiencies under the ideal width are more reasonable. During 2006–15, the efficiency of medium-sized enterprises was higher than that of large enterprises, that of private enterprises was higher than that of state-owned and state-holding enterprises, and that of foreign-funded enterprises was higher than that of enterprises with funds from Hong Kong, Macao, and Taiwan and that of domestic-funded enterprises. Moreover, the efficiencies of various types of enterprises all maintained upward trends.

Suggested Citation

  • Shoufu Lin & Ji Sun & Shanyong Wang, 2019. "Dynamic evaluation of the technological innovation efficiency of China’s industrial enterprises," Science and Public Policy, Oxford University Press, vol. 46(2), pages 232-243.
    • Handle: RePEc:oup:scippl:v:46:y:2019:i:2:p:232-243.
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    File URL: http://hdl.handle.net/10.1093/scipol/scy053
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    Citations

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    Cited by:

    1. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Xiaoqing Chen & Xinwang Liu, 2023. "Comparing Malmquist and Hicks–Moorsteen productivity changes in China’s high-tech industries: exploring convexity implications," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1209-1237, December.
    3. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    4. Muyao Li & Jinsong Zhang & Ramakrishnan Ramanathan & Ruiqian Li, 2020. "Opening the Black Box: The Impacts of Environmental Regulations on Technological Innovation," IJERPH, MDPI, vol. 17(12), pages 1-18, June.

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