Arbeitspapier

When subsidized R&D-firms fail, do they still stimulate growth? Tracing knowledge by following employees across firms

Public R&D subsidies aim to target particularly risky R&D and R&D with large externalities. One would expect many such projects to fail from a commercial point of view, but they may still produce knowledge with social value. Such knowledge is likely to be embodied in workers or teams of workers. I utilize a large matched employer-employee data set and test for knowledge diffusion from subsidised technology firms transmitted through the labor market. The specific case analysed is a series of Norwegian IT-programs so far considered unsuccessful, but which have been linked to the rise of a new generation of successful IT-firms. It has been argued that know-how and networks built up in leading companies during the programs still `fertilize' the IT-industry even though many of the companies have exited. I find limited support for this claim. On the positive side, the market value of work experience from subsidized firms does not seem to have been reduced by the fact that the firms did not succeed commercially, but workers from subsidized firms have not outperformed similar workers without this experience, either. Furthermore, firms that are spin-offs from formerly subsidized firms seem to perform below, rather than above average.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 399

Classification
Wirtschaft
Human Capital; Skills; Occupational Choice; Labor Productivity
Wage Level and Structure; Wage Differentials
Job, Occupational, and Intergenerational Mobility; Promotion
Management of Technological Innovation and R&D
Subject
R&D-subsidies
Knowledge spillovers
Human capital
Labor mobility
Displaced workers
Spin-off firms
IT-industry
Program evaluation
Matched employer-employee data

Event
Geistige Schöpfung
(who)
Møen, Jarle
Event
Veröffentlichung
(who)
Statistics Norway, Research Department
(where)
Oslo
(when)
2004

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Møen, Jarle
  • Statistics Norway, Research Department

Time of origin

  • 2004

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