Research on Driving Factors of Independent Innovation Capability of New Energy Equipment Manufacturing Enterprises

  • Conference paper
  • First Online:
Advances in Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1587))

Included in the following conference series:

  • 931 Accesses

Abstract

With the implementation of the “Made in China 2025” plan and the promulgation of the “Renewable Energy Law”, China’s new energy equipment manufacturing industry has developed rapidly. At the same time, it has also revealed that China’s new energy equipment manufacturing enterprises have issues such as a high degree of external dependence on key technologies and low-level international competitiveness. Facing the complex international market environment, Chinese new energy equipment manufacturing enterprises urgently need to improve their independent innovation capabilities. This paper establishes the driving factors of independent innovation by sorting out domestic and international independent innovation-related research and combining the opinions of new energy equipment manufacturing experts. By using the exploratory factor analysis, five dimensions that affect independent innovation capability are extracted: independent innovation input capability, external environmental support, internal environmental support, knowledge management capability, and independent innovation output capability. Finally, it establishes the structural equation model of the driving factors of the independent innovation capability of new energy equipment manufacturing enterprises and proposes the driving path of the independent innovation capability of new energy equipment manufacturing enterprises. The research results show that both independent innovation input ability and knowledge management ability can directly have a positive impact on independent innovation output ability, and the influence of knowledge management ability is more significant; while the external environmental support and internal environmental support influence the enterprise’s knowledge management ability Indirectly affect the output capacity of independent innovation.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lüthje, B.: Platform capitalism ‘Made in China’? Intelligent manufacturing, Taobao Villages and the restructuring of work. Sci. Technol. Soc. 24(2), 199–217 (2019)

    Article  Google Scholar 

  2. Qu, C., Jun, S., Zhonghua, C.: Can embedding in global value chain drive green growth in China’s manufacturing industry? J. Clean. Prod. 268, 121962 (2020)

    Article  Google Scholar 

  3. Fakhri, A.B., et al.: Industry 4.0: architecture and equipment revolution. Comput. Mater. Continua 66(2), 1175–1194 (2021)

    Article  Google Scholar 

  4. Wang, X., et al.: China’s rare earths production forecasting and sustainable development policy implications. Sustainability 9(6), 1003 (2017)

    Article  Google Scholar 

  5. Lewis, J.I., Ryan, H.W.: Fostering a renewable energy technology industry: an international comparison of wind industry policy support mechanisms. Energy Policy 35(3), 1844–1857 (2007)

    Article  Google Scholar 

  6. Lee, K., Chaisung, L.: Technological regimes, catching-up and leapfrogging: findings from the Korean industries. Res. Policy 30(3), 459–483 (2001)

    Article  Google Scholar 

  7. Mattis, J.: Summary of the 2018 national defense strategy of the United States of America. Department of Defense Washington United States (2018)

    Google Scholar 

  8. Iyapparaja, M.: Fogqsym: an industry 4.0 analytical model for fog applications. Comput. Mater. Continua 69(3), 3163–3178 (2021)

    Article  Google Scholar 

  9. Du, H., et al.: Leader confirmation replication for millisecond consensus in private chains. IEEE Internet Things J. (2021). https://doi.org/10.1109/JIOT.2021.3113835

    Article  Google Scholar 

  10. Chao, L., et al.: Comparison of modernization paths between China and Japan. China Economist 11(2), 51 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ruhao Ma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Ma, R., Du, H., Meng, F., Zhu, D. (2022). Research on Driving Factors of Independent Innovation Capability of New Energy Equipment Manufacturing Enterprises. In: Sun, X., Zhang, X., **a, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2022. Communications in Computer and Information Science, vol 1587. Springer, Cham. https://doi.org/10.1007/978-3-031-06761-7_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06761-7_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06760-0

  • Online ISBN: 978-3-031-06761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation