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Technological Forecasting and Social Change
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Technological Forecasting and Social Change
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Size and survival: An analysis of the university spin-offs

Authors: David Rodeiro-Pazos; Sara Fernández-López; María Jesús Rodríguez-Gulías; Adrián Dios-Vicente;

Size and survival: An analysis of the university spin-offs

Abstract

Universities have created USOs to exploit the research knowledge and contribute to the economic development of their regions in the last decades, leading to an extensive literature on the topic. However, this growing literature has widely overlooked the links between firm size and survival. This paper explores simultaneously the role of size and other firm characteristics on the likelihood of the USOs’ survival, mainly drawing on the RBV of the firm. The empirical study uses an unbalanced panel consisting of 2,220 observations from 465 Spanish USOs observed between 2005 and 2013 and event (survival) analysis techniques. The results confirm than firm size is positively associated with the USOs’ survival. Moreover, the empirical evidence seems to support the existence of a minimum size that, once reached, makes the failure risk of USOs not significantly dependent on size itself. The findings also confirm that the determinants of survival consistently differ between micro USOs and SML USOs. Thus, the survival of micro USOs is negatively affected by those activities that involve high needs of resources, like patent activity or debt payment. In contrast, exporting increases the survival probability of SML USOs

Country
Spain
Keywords

Size, Cox proportional hazards model, Spain, Firm survival, University Spin-Offs

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    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green
hybrid