Skip to main content

Evaluation Research on Technology Innovation Efficiency of High-End Equipment Manufacturing Based on DEA Malmquist Index Method—Taking Guangdong Province as an Example

  • Conference paper
  • First Online:
Advances in Computer Science for Engineering and Education III (ICCSEEA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1247))

  • 489 Accesses

Abstract

Innovation is the core driving force of high-end equipment manufacturing industry, and the evaluation of its efficiency has important theoretical and practical value. In this paper, taking Guangdong Province as an example, which is a strong province of high-end equipment manufacturing industry in China. DEA Malmquist index method is utilized. Different from other DEA methods, this method is used to study the variation of efficiency, instead of just giving the efficiency value. In order to reduce the repeatability of the existing index system and ensure the scientificity and accuracy of the evaluation results, two new input index parameters, namely, full-time equivalent input of R&D personnel and internal expenditure of R&D funds, were constructed innovatively. The results show that in order to improve the technological innovation efficiency of high-end intelligent manufacturing in Guangdong province, it is not enough to focus on innovation itself, but also to focus on the transformation of innovation achievements.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lee, J., Shim, E.: Moderating effects of R&D on corporate growth in US and Japanese hi-tech industries: an empirical study. J. High Technol. Manag. Res. (6), 179–191 (1995)

    Google Scholar 

  2. Romijn, H., Mike, A.: Innovation networking and proximity: lessons from small high technology firms in the UK. Reg. Stud. 36(1), 81–88 (2002)

    Article  Google Scholar 

  3. Neelankevil, J.P., Alaganar, V.T.: Strategic resource commitment of high technology firms an international comparison. J. Bus. Res. (6), 493–502 (2003)

    Google Scholar 

  4. Zhang, Q., Wang, J.: Evaluation of independent innovation efficiency of China’s high-tech industry based on DEA. Sci. Technol. Manag. Res. 31(10), 9–13+17 (2011). (in Chinese)

    Google Scholar 

  5. Wei, F., Jiang, Y.: Evaluation of technological innovation efficiency of small and medium-sized enterprises in Anhui Province and analysis of influencing factors. China Sci. Technol. Forum (08), 100–106 (2012). (in Chinese)

    Google Scholar 

  6. Feng, Y., Teng, J.: Evaluation of technological innovation efficiency of high-tech industry in Jiangsu Province. Sci. Sci. Manag. Sci. Technol. 31(08), 107–112 (2010). (in Chinese)

    Google Scholar 

  7. Huang, H., Zhang, Z.: Technological innovation efficiency of China’s strategic emerging industries based on DEA Malmquist index model. Technol. Econ. 34(01), 21–27+68 (2015). (in Chinese)

    Google Scholar 

  8. People’s Government of Guangdong Province: Three year action plan for industrial transformation and upgrading of Guangdong Province (2015–2017), 21 Mar 2013. http://www.gd.gov.cn/gkmlpt/content/0/143/post_143801.html. (in Chinese)

  9. Chen, W., Jing, R., Zhang, H., et al.: Evaluation of technological innovation efficiency of large and medium-sized industrial enterprises in northeast China – based on DEA-Malmquist index method. East China Econ. Manag. 31(02), 66–71 (2017)

    Google Scholar 

  10. Hou, R.: Research on the evolution and driving difference of regional technology innovation efficiency improvement in China based on Malmquist index. Ind. Technol. Econ. 35(01), 122–129 (2016)

    Google Scholar 

  11. Yuan, Q., Wu, L., Zhang, P.: Research on the path of improving innovation efficiency of large manufacturing enterprises in China under green growth. Sci. Technol. Progr. Countermeas. 34(22), 85–92 (2017)

    Google Scholar 

Download references

Acknowledgement

This paper is supported by major projects of the National Social Science Foundation (NO. 16ZDA013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haotai Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wu, S., Li, H., Zhang, J., Fan, B. (2021). Evaluation Research on Technology Innovation Efficiency of High-End Equipment Manufacturing Based on DEA Malmquist Index Method—Taking Guangdong Province as an Example. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education III. ICCSEEA 2020. Advances in Intelligent Systems and Computing, vol 1247. Springer, Cham. https://doi.org/10.1007/978-3-030-55506-1_9

Download citation

Publish with us

Policies and ethics