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High quality workplace training and innovation in highly developed countries

Listed author(s):
  • Christian Rupietta

    ()

    (Department of Business Administration, University of Zurich)

  • Uschi Backes-Gellner

    ()

    (Department of Business Administration, University of Zurich)

Several studies associate vocational education in general with a strong focus on established technologies and a high firm specificity and therefore expect vocational education not to have positive effects on innovations in firms. However, a specific form of vocational education deviates from this notion and provides firms with new knowledge to generate innovations. Vocational education that a collective of firms organizes (like in Germany and Switzerland) has a governance structure that coordinates collective action in order to define training curricula with joint standards. Firms revise these curricula jointly and thereby diffuse new knowledge to all firms that participate in vocational education by training apprentices. In this paper we describe the governance structure of vocational education and identify four different phases of knowledge diffusion that occurring during the definition of joint training standards: knowledge collection, synthesis, transfer and application. The results of our empirical analysis reveal that participating in collectively organized vocational education by training apprentices has a positive impact on a firm's innovations. We show that collective action of firms can generate a specific form of vocational education that provides innovation-relevant knowledge, diffuses it and thereby has a positive effect on innovation in firms.

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File URL: http://repec.business.uzh.ch/RePEc/iso/leadinghouse/0074_lhwpaper.pdf
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Paper provided by University of Zurich, Department of Business Administration (IBW) in its series Economics of Education Working Paper Series with number 0074.

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Length: 50 pages
Date of creation: Mar 2012
Date of revision: Jul 2017
Handle: RePEc:iso:educat:0074
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  1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
  2. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
  3. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, 03.
  4. Howitt, Peter & Aghion, Philippe, 2006. "Appropriate Growth Policy: A Unifying Framework," Scholarly Articles 4554121, Harvard University Department of Economics.
  5. Daron Acemoglu, 1997. "Training and Innovation in an Imperfect Labour Market," Review of Economic Studies, Oxford University Press, vol. 64(3), pages 445-464.
  6. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
  7. Frietsch, Rainer & Rammer, Christian & Schubert, Torben & Bührer, Susanne & Neuhäusler, Peter, 2012. "Innovationsindikator 2012," ZEW Expertises, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research, volume 127, number 110556.
  8. repec:fth:prinin:455 is not listed on IDEAS
  9. Stefan C. Wolter & Samuel Mühlemann & Jürg Schweri, 2006. "Why Some Firms Train Apprentices and Many Others Do Not," German Economic Review, Verein für Socialpolitik, vol. 7, pages 249-264, 08.
  10. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
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