IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i3p21582440231194578.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231194578
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231194578?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Messeni Petruzzelli, Antonio & Ardito, Lorenzo & Savino, Tommaso, 2018. "Maturity of knowledge inputs and innovation value: The moderating effect of firm age and size," Journal of Business Research, Elsevier, vol. 86(C), pages 190-201.
    2. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barra, Cristian & Zotti, Roberto, 2015. "Regional innovation system (in)efficiency and its determinants: an empirical evidence from Italian regions," MPRA Paper 67067, University Library of Munich, Germany.
    2. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    3. Agüeros Manuel & Casares-Hontañón Pedro & Coto-Millán Pablo & Ángel Pesquera Miguel, 2015. "Technical Efficiency of the Generation of Knowledge in the European Union (2003-2010)," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 27(27), pages 7-16, March.
    4. Lai, I-Chun & Su, Hsin-Ning, 2024. "Knowledge spectrum explored: Understanding source-recipient interactions and their influence on technology convergence," Technovation, Elsevier, vol. 133(C).
    5. Cristian Barra & Roberto Zotti, 2018. "The contribution of university, private and public sector resources to Italian regional innovation system (in)efficiency," The Journal of Technology Transfer, Springer, vol. 43(2), pages 432-457, April.
    6. Krammer, Sorin M.S., 2014. "Assessing the relative importance of multiple channels for embodied and disembodied technological spillovers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 272-286.
    7. Mingting Kou & Yi Zhang & Yu Zhang & Kaihua Chen & Jiancheng Guan & Senmao Xia, 2020. "Does gender structure influence R&D efficiency? A regional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 477-501, January.
    8. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    9. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
    10. Zhang, Anming & Zhang, Yimin & Zhao, Ronald, 2003. "A study of the R&D efficiency and productivity of Chinese firms," Journal of Comparative Economics, Elsevier, vol. 31(3), pages 444-464, September.
    11. Donald Siegel & David Waldman & Albert Link, 1999. "Assessing the Impact of Organizational Practices on the Productivity of University Technology Transfer Offices: An Exploratory Study," NBER Working Papers 7256, National Bureau of Economic Research, Inc.
    12. Graziella Bonanno & Annalisa Ferrando & Stefania Patrizia Sonia Rossi, 2023. "Do innovation and financial constraints affect the profit efficiency of European enterprises?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 57-86, March.
    13. Jianping Liu & Kai Lu & Shixiong Cheng, 2018. "International R&D Spillovers and Innovation Efficiency," Sustainability, MDPI, vol. 10(11), pages 1-23, October.
    14. Rosario SÁNCHEZ-PÉREZ & M. Ángeles DÍAZ-MAYANS, 2013. "Are Large Innovative Firms More Efficient?," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 4(1), pages 89-96.
    15. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    17. Heijs, Joost, 2003. "Freerider behaviour and the public finance of R&D activities in enterprises: the case of the Spanish low interest credits for R&D," Research Policy, Elsevier, vol. 32(3), pages 445-461, March.
    18. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    19. Ozgur Aydogmus & Erkan Gürpinar, 2022. "Science, Technology and Institutional Change in Knowledge Production: An Evolutionary Game Theoretic Framework," Dynamic Games and Applications, Springer, vol. 12(4), pages 1163-1188, December.
    20. Teimuraz Gogokhia & George Berulava, 2021. "Business environment reforms, innovation and firm productivity in transition economies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 221-245, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231194578. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.