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An empirical test for general purpose technology: an examination of the Cohen--Boyer rDNA technology

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  • Maryann P. Feldman
  • Ji Woong Yoon

Abstract

General purpose technologies (GPTs) provide fundamental breakthroughs that transform industries and provide a platform for increased productivity. While a large theoretical literature describes GPT characteristics there has been little empirical work that measures the attributes of GPTs. Our analysis focuses on patents associated with the Cohen--Boyer rDNA patents, a credible GPT candidate. We empirically test our predictions about technological complementarity, applicability and discontinuity against a control group of patents with similar origins. Our results suggest that the characteristics of GPTs may be discernable through the analysis of patent data. Copyright 2012 The Author 2011. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.

Suggested Citation

  • Maryann P. Feldman & Ji Woong Yoon, 2012. "An empirical test for general purpose technology: an examination of the Cohen--Boyer rDNA technology," Industrial and Corporate Change, Oxford University Press, vol. 21(2), pages 249-275, April.
  • Handle: RePEc:oup:indcch:v:21:y:2012:i:2:p:249-275
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    File URL: http://hdl.handle.net/10.1093/icc/dtr040
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    Citations

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    Cited by:

    1. Christiaan Hogendorn & Brett Frischmann, 2017. "Infrastructure and General Purpose Technologies: A Technology Flow Framework," Wesleyan Economics Working Papers 2017-001, Wesleyan University, Department of Economics.
    2. RAITERI Emilio, 2015. "A time to nourish? Evaluating the impact of innovative public procurement on technological generality through patent data," Cahiers du GREThA 2015-05, Groupe de Recherche en Economie Théorique et Appliquée.
    3. Feldman, Maryann & Tavassoli, Sam, 2014. "Something New: Where do new industries come from?," Working Papers 2014/02, Blekinge Institute of Technology, Department of Industrial Economics.
    4. Azagra-Caro, Joaquín M. & Barberá-Tomás, David & Edwards-Schachter, Mónica & Tur, Elena M., 2017. "Dynamic interactions between university-industry knowledge transfer channels: A case study of the most highly cited academic patent," Research Policy, Elsevier, vol. 46(2), pages 463-474.
    5. Taalbi, Josef, 2017. "Origins and Pathways of Innovation in the Third Industrial Revolution: Sweden, 1950-2013," Lund Papers in Economic History 159, Lund University, Department of Economic History.
    6. Kokshagina, Olga & Gillier, Thomas & Cogez, Patrick & Le Masson, Pascal & Weil, Benoit, 2017. "Using innovation contests to promote the development of generic technologies," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 152-164.
    7. repec:eee:tefoso:v:125:y:2017:i:c:p:154-165 is not listed on IDEAS
    8. Maryann Feldman & Dieter Kogler & David Rigby, 2013. "rKnowledge: The Spatial Diffusion of rDNA Methods," Papers in Evolutionary Economic Geography (PEEG) 1311, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2013.
    9. repec:eee:respol:v:47:y:2018:i:5:p:936-952 is not listed on IDEAS
    10. repec:kap:jtecht:v:43:y:2018:i:4:d:10.1007_s10961-016-9524-1 is not listed on IDEAS

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