Start-up growth is often treated as a stylised fact, despite an extensive research body composed of divergent theories and empirical findings. Against this background, this work contributes to the literature by analysing a hand-collected dataset of 2 951 EIF-backed venture capital (VC) start-ups. Section two briefly reviews the relevant literature and section three discusses data and methods. Section four uses descriptive statistics to explore average and median growth trends of start-ups, following an EIF-backed VC investment. Section five employs a latent class cluster analysis to establish a taxonomy of start-up growth profiles, characterised by speed and bias towards sales or patenting. The observed growth patterns, described in section six, are typically idiosyncratic and persistent. However, a series of factors affecting growth mode can be evidenced. In particular, this paper finds that the geographic distribution of out-performing start-ups hints at national and regional factors acting as enablers for different typologies of successful growth. Implications for research and practice are discussed.
All EU Member States
European Investment Fund