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The larger scientific and technological human scale, the better innovation effect? Evidence from key universities in China

Author

Listed:
  • Qinwei Cao

    (Wuhan University)

  • Peng Xie

    (Wuhan University)

  • Meng Jiao

    (Wuhan University)

  • Wanchun Duan

    (Yunnan University of Business Management)

Abstract

Does the growth of S&T human scale has demographic dividends analogous to that of economic growth? Inspired by the resource-based theory and able to use the panel data of Chinese key universities, we find that relying solely on the number of S&T personnel may not significantly boost the innovation effect in scientific research. Even though more S&T personnel can greatly raise the number of scientific research achievements (SRA), it’s more deeply relying on the increment of S&T service personnel rather than R&D personnel. Meanwhile, more S&T personnel and R&D personnel cannot enhance the quality of SRA, and basic research intensity does not play a mediating role between them. Moreover, no matter what type of S&T human scale cannot improve economic performance, and also, basic research intensity does not play a mediating role between them. The growing S&T human scale can heighten the social performance, while the increasing number of neither R&D personnel nor S&T service personnel in a single dimension will make social performance better, and basic research intensity does not play a mediating role between them as well. Finally, there’s significant heterogeneity on the relationship among diverse types, titles and positions of S&T personnel with different levels and types of performance.

Suggested Citation

  • Qinwei Cao & Peng Xie & Meng Jiao & Wanchun Duan, 2021. "The larger scientific and technological human scale, the better innovation effect? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5623-5649, July.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-04019-5
    DOI: 10.1007/s11192-021-04019-5
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    References listed on IDEAS

    as
    1. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    2. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    3. Prettner, Klaus & Werner, Katharina, 2016. "Why it pays off to pay us well: The impact of basic research on economic growth and welfare," Research Policy, Elsevier, vol. 45(5), pages 1075-1090.
    4. Patricia Pitcher & Anne D. Smith, 2001. "Top Management Team Heterogeneity: Personality, Power, and Proxies," Organization Science, INFORMS, vol. 12(1), pages 1-18, February.
    5. Mario Coccia, 2018. "Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations," The Journal of Technology Transfer, Springer, vol. 43(3), pages 792-814, June.
    6. Kianto, Aino & Sáenz, Josune & Aramburu, Nekane, 2017. "Knowledge-based human resource management practices, intellectual capital and innovation," Journal of Business Research, Elsevier, vol. 81(C), pages 11-20.
    7. Grilli, Luca & Murtinu, Samuele, 2018. "Selective subsidies, entrepreneurial founders' human capital, and access to R&D alliances," Research Policy, Elsevier, vol. 47(10), pages 1945-1963.
    8. Edward L. Glaeser & Gary S. Becker & Kevin M. Murphy, 1999. "Population and Economic Growth," American Economic Review, American Economic Association, vol. 89(2), pages 145-149, May.
    9. Rong, Zhao & Wu, Xiaokai & Boeing, Philipp, 2017. "The effect of institutional ownership on firm innovation: Evidence from Chinese listed firms," Research Policy, Elsevier, vol. 46(9), pages 1533-1551.
    10. Qinghua Xia & Qinwei Cao & Manqing Tan, 2020. "Basic research intensity and diversified performance: the moderating role of government support intensity," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 577-605, October.
    11. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    13. Bourke, Jane & Roper, Stephen, 2017. "Innovation, quality management and learning: Short-term and longer-term effects," Research Policy, Elsevier, vol. 46(8), pages 1505-1518.
    14. Teixeira, Aurora A.C. & Queirós, Anabela S.S., 2016. "Economic growth, human capital and structural change: A dynamic panel data analysis," Research Policy, Elsevier, vol. 45(8), pages 1636-1648.
    15. Danny Miller, 2003. "An asymmetry‐based view of advantage: towards an attainable sustainability," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 961-976, October.
    16. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    17. Christine Oliver, 1997. "Sustainable competitive advantage: combining institutional and resource‐based views," Strategic Management Journal, Wiley Blackwell, vol. 18(9), pages 697-713, October.
    18. Bronwyn H. Hall & Albert N. Link & John T. Scott, 2003. "Universities as Research Partners," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 485-491, May.
    19. Zhu, Zuoyan & Gong, Xu, 2008. "Basic research: Its impact on China's future," Technology in Society, Elsevier, vol. 30(3), pages 293-298.
    20. Walsh, John P. & Lee, You-Na, 2015. "The bureaucratization of science," Research Policy, Elsevier, vol. 44(8), pages 1584-1600.
    21. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    22. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    23. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    24. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    25. Scott L. Newbert, 2008. "Value, rareness, competitive advantage, and performance: a conceptual‐level empirical investigation of the resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 29(7), pages 745-768, July.
    26. Garcia Martinez, Marian & Zouaghi, Ferdaous & Sanchez Garcia, Mercedes, 2017. "Capturing value from alliance portfolio diversity: The mediating role of R&D human capital in high and low tech industries," Technovation, Elsevier, vol. 59(C), pages 55-67.
    27. Bogers, Marcel & Foss, Nicolai J. & Lyngsie, Jacob, 2018. "The “human side” of open innovation: The role of employee diversity in firm-level openness," Research Policy, Elsevier, vol. 47(1), pages 218-231.
    28. Qinwei Cao, 2020. "Contradiction between input and output of Chinese scientific research: a multidimensional analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 451-485, April.
    29. Christian Fisch & Joern Block & Philipp Sandner, 2016. "Chinese university patents: quantity, quality, and the role of subsidy programs," The Journal of Technology Transfer, Springer, vol. 41(1), pages 60-84, February.
    30. Shibayama, Sotaro & Baba, Yasunori & Walsh, John P., 2015. "Organizational design of University laboratories: Task allocation and lab performance in Japanese bioscience laboratories," Research Policy, Elsevier, vol. 44(3), pages 610-622.
    31. Jeffrey J. Reuer & Ramakrishna Devarakonda, 2017. "Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists," Organization Science, INFORMS, vol. 28(3), pages 574-595, June.
    32. Guan, JianCheng & Yam, Richard C.M., 2015. "Effects of government financial incentives on firms’ innovation performance in China: Evidences from Beijing in the 1990s," Research Policy, Elsevier, vol. 44(1), pages 273-282.
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