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Erschienen in: Small Business Economics 2/2014

01.08.2014

University spin-offs and the “performance premium”

verfasst von: Dirk Czarnitzki, Christian Rammer, Andrew A. Toole

Erschienen in: Small Business Economics | Ausgabe 2/2014

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Abstract

The creation of spin-off companies is often promoted as a desirable mechanism for transferring knowledge and technologies from research organizations to the private sector for commercialization. In the promotion process, policymakers typically treat these “university” spin-offs like industry start-ups. However, when university spin-offs involve an employment transition by a researcher from the not-for-profit sector, the creation of a university spin-off is likely to impose a higher social cost than the creation of an industry start-up. To offset this higher social cost, university spin-offs must produce a larger stream of social benefits than industry start-ups, a performance premium. This paper outlines the arguments explaining why the social costs of entrepreneurship are likely to be higher for academic entrepreneurs, and empirically investigates the existence of a performance premium using a sample of German start-up companies. We find that university spin-offs exhibit a performance premium of 3.4 % points higher employment growth over industry start-ups. The analysis also shows that the performance premium varies across types of academic entrepreneurs and founders’ academic disciplines.

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Fußnoten
1
Throughout the paper, we will use “university” as shorthand for all public research organizations (PROs) in the not-for-profit sector.
 
2
In our definition, a new company is a university spin-off when it involves an academic entrepreneur. New companies that were formed to commercialize a university technology (e.g., through the technology transfer office) or that received some kind of support from the university do not qualify as university spin-offs under our definition unless they also have an academic entrepreneur in the founding team.
 
3
See Salter and Martin (2001) for an overview.
 
4
There is a much broader literature studying the influence of patenting and industry sponsorship on academic research (see, for instance, Agrawal and Henderson 2002; Azoulay et al. 2009; Breschi et al. 2007; Czarnitzki et al. 2009, 2012; Rosenberg 1998).
 
5
The current body of empirical evidence on changes in research productivity is limited to samples drawn from science and engineering fields. Importantly, the theoretical argument about the potential social costs of university spin-offs is not limited to any particular field of study. For instance, academic researchers in law and social science fields may reduce their contributions to open science when pursuing entrepreneurship. Given the stage of research in the literature, there is no information available that would suggest one field of study is more socially valuable than another.
 
6
The stream of benefits that would have been derived from a university researcher’s future contributions to academic research and disclosure is an unobservable counterfactual since the academic entrepreneur cannot be observed as both a full-time university researcher and a spin-off entrepreneur at the same time. This complicates any attempt to directly estimate the necessary size of the performance premium.
 
7
See Rothaermel et al. (2007) and Helm and Mauroner (2007) for recent reviews of the literature.
 
8
See, e.g., Heckman (1976, 1979), or Verbeek (2012: 248–252) for details of the Heckman selection model.
 
9
Recall that we will use the term “university” when referring to any type of science institution. With respect to the German situation, science institutions primarily comprise state-funded universities and other publicly funded research organisations (such as Max Planck Institutes, Fraunhofer Institutes, and governmental laboratories and research centres) as well as a few private universities.
 
10
Appendix 2 reports the results of the survival equation estimation. As a robustness check, all the models were re-estimated using sampling weights from the survey. These results are reported in Table 4 in Appendix 3. There are no significant differences between weighted and non-weighted results.
 
11
In our empirical analysis, we compared university spin-offs to industry start-ups based on a random sample that was stratified by industry (in particular, knowledge-intensive industries), year of company foundation, and region. Other scholars such as Wennberg et al. (2011) compared university spin-offs to corporate spin-offs. This is a subgroup of industry start-ups that is likely to perform better than average and thereby serves as higher standard of comparison for university spin-offs. For general policy justification, we believe the overall population of industry start-ups (properly stratified) is the relevant control group.
 
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Metadaten
Titel
University spin-offs and the “performance premium”
verfasst von
Dirk Czarnitzki
Christian Rammer
Andrew A. Toole
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Small Business Economics / Ausgabe 2/2014
Print ISSN: 0921-898X
Elektronische ISSN: 1573-0913
DOI
https://doi.org/10.1007/s11187-013-9538-0

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