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Dancing with the academic elite: a promotion or hindrance of research production?

Author

Listed:
  • Zhifeng Yin

    (Central University of Finance and Economics)

  • Qiang Zhi

    (Central University of Finance and Economics)

Abstract

The academic elite possesses outstanding abilities in terms of knowledge innovation, while they produce a spillover effect on other researchers. This study takes micro level data from projects under the Management Science Sector of the National Natural Science Foundation of China between 2006 and 2010 to define the three categories of funded elite, distinguished young elite, and Cheung Kong scholars; it also examines the correlation between identifying as “elite” and his or her individual project output in order to explore the elite’s spillover effect on the knowledge output of other project principal investigators within the organization. We found that the three categories of elites had more output while they generated mixed spillover effect on their institute researchers’ output. At the end, we discuss the reasons and policy implications behind this phenomenon.

Suggested Citation

  • Zhifeng Yin & Qiang Zhi, 2017. "Dancing with the academic elite: a promotion or hindrance of research production?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 17-41, January.
  • Handle: RePEc:spr:scient:v:110:y:2017:i:1:d:10.1007_s11192-016-2151-7
    DOI: 10.1007/s11192-016-2151-7
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    as
    1. Jeff S. Armstrong & Michael R. Darby & Lynne G. Zucker, 2003. "Commercializing knowledge: university science, knowledge capture and firm performance in biotechnology," Proceedings, Federal Reserve Bank of Dallas, issue Sep, pages 149-170.
    2. Charles S. White & Karen James & Lisa A. Burke & Richard S. Allen, 2012. "What makes a “research star”? Factors influencing the research productivity of business faculty," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 61(6), pages 584-602, July.
    3. Zucker, Lynne G. & Darby, Michael R., 1997. "Present at the biotechnological revolution: transformation of technological identity for a large incumbent pharmaceutical firm," Research Policy, Elsevier, vol. 26(4-5), pages 429-446, December.
    4. Daniel Schiller & Javier Revilla Diez, 2010. "Local embeddedness of knowledge spillover agents: Empirical evidence from German star scientists," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 275-294, June.
    5. Paula E. Stephan, 2010. "The Economics of Science - Funding for Research," ICER Working Papers 12-2010, ICER - International Centre for Economic Research.
    6. Julia Porter Liebeskind & Amalya Lumerman Oliver & Lynne Zucker & Marilynn Brewer, 1996. "Social networks, Learning, and Flexibility: Sourcing Scientific Knowledge in New Biotechnology Firms," Organization Science, INFORMS, vol. 7(4), pages 428-443, August.
    7. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    8. Michaela Trippl & Gunther Maier, 2011. "Star Scientists as Drivers of the Development of Regions," Advances in Spatial Science, in: Peter Nijkamp & Iulia Siedschlag (ed.), Innovation, Growth and Competitiveness, chapter 0, pages 113-134, Springer.
    9. Amy C. Edmondson, 2002. "The Local and Variegated Nature of Learning in Organizations: A Group-Level Perspective," Organization Science, INFORMS, vol. 13(2), pages 128-146, April.
    10. Lisa A. Burke & Karen E. James, 2005. "An empirical investigation of faculty research productivity and implications for practice," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 1(2), pages 109-130.
    11. Michael R. Darby & Qiao Liu & Lynne G. Zucker, 2004. "High Stakes in High Technology: High-Tech Market Values as Options," Economic Inquiry, Western Economic Association International, vol. 42(3), pages 351-369, July.
    12. Lynne G. Zucker & Michael R. Darby, 2014. "Movement of Star Scientists and Engineers and High-Tech Firm Entry," Annals of Economics and Statistics, GENES, issue 115-116, pages 125-175.
    13. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    14. Rebecca R. Kehoe & Daniel Tzabbar, 2015. "Lighting the way or stealing the shine? An examination of the duality in star scientists' effects on firm innovative performance," Strategic Management Journal, Wiley Blackwell, vol. 36(5), pages 709-727, May.
    15. Ashish Arora & Alfonso Gambardella, 1997. "Public Policy towards Science : Picking Stars or Spreading the Wealth ?," Revue d'Économie Industrielle, Programme National Persée, vol. 79(1), pages 63-75.
    16. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    17. Mary A. Burke & Gary M. Fournier & Kislaya Prasad, 2007. "The Diffusion of a Medical Innovation: Is Success in the Stars?," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 588-603, January.
    18. Audretsch, David B & Stephan, Paula E, 1996. "Company-Scientist Locational Links: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 86(3), pages 641-652, June.
    19. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-132, March.
    20. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    21. Lynne G. Zucker & Michael R. Darby, 2007. "Virtuous circles in science and commerce," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 445-470, August.
    22. Zucker, Lynne G & Darby, Michael R & Armstrong, Jeff, 1998. "Geographically Localized Knowledge: Spillovers or Markets?," Economic Inquiry, Western Economic Association International, vol. 36(1), pages 65-86, January.
    23. Lynne G. Zucker & Michael R. Darby & Maximo Torero, 2002. "Labor Mobility from Academe to Commerce," Journal of Labor Economics, University of Chicago Press, vol. 20(3), pages 629-660, July.
    24. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    25. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
    26. Jung Cheol Shin & William K. Cummings, 2010. "Multilevel analysis of academic publishing across disciplines: research preference, collaboration, and time on research," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 581-594, November.
    27. Schartinger, Doris & Schibany, Andras & Gassler, Helmut, 2001. "Interactive Relations between Universities and Firms: Empirical Evidence for Austria," The Journal of Technology Transfer, Springer, vol. 26(3), pages 255-268, June.
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