Is the R&D behaviour of fast-growing SMEs different? Evidence from CIS III data for 16 countries

This paper studies the R&D behaviour of fast growing SMEs using CIS III data for 16 countries. We group the countries into three categories of countries having roughly the same stage of technological development. Our first finding is that R&D is more important to high-growth SMEs in countries that are closer to the technological frontier. The second finding is that high-growth SMEs are only more innovative than non-high-growth SMEs in countries close to the technological frontier. This suggests that gazelles derive much of their drive from the exploitation of comparative advantages. From a policy perspective, this indicates that there are important limits to centralising policies that aim to foster high-growth SMEs.

[1]  M. Vivarelli,et al.  Entrepreneurship and the Process of Firms' Entry, Survival and Growth , 2006, SSRN Electronic Journal.

[2]  D. Holtz-eakin Public Policy Toward Entrepreneurship , 2000 .

[3]  Roy Thurik,et al.  Gibrat’s Law: An Overview of the Empirical Literature , 2006 .

[4]  Sanghoon Ahn,et al.  Competition, Innovation and Productivity Growth: A Review of Theory and Evidence , 2002 .

[5]  R. Caves Industrial Organization and New Findings on the Turnover and Mobility of Firms , 1998 .

[6]  Jacques Mairesse,et al.  The Importance of R&D for Innovation: A Reassessment Using French Survey Data , 2004 .

[7]  P. Davidsson,et al.  The Extent of Overestimation of Small Firm Job Creation – An Empirical Examination of the Regression Bias , 1998 .

[8]  J. Heckman,et al.  The Economics and Econometrics of Active Labor Market Programs , 1999 .

[9]  F. Lotti,et al.  Does Gibrat's Law hold among young, small firms? , 2003 .

[10]  Antonio Dávila,et al.  Venture capital financing and the growth of startup firms , 2003 .

[11]  G. Imbens,et al.  Large Sample Properties of Matching Estimators for Average Treatment Effects , 2004 .

[12]  A. Drejer Innovation and learning , 2003 .

[13]  R&D and Firm Size in the Information and Telecommunicatons Industry of Korea , 2000 .

[14]  R. Koenker Quantile Regression: Name Index , 2005 .

[15]  A. Secchi,et al.  Explaining the distribution of firm growth rates , 2006 .

[16]  D. Storey,et al.  What happens to gazelles? The importance of dynamic management strategy , 2010 .

[17]  Giulio Bottazzi,et al.  Explaining the Distribution of Firms Growth Rates , 2005 .

[18]  Alex Coad,et al.  Firm growth and R&D expenditure , 2010 .

[19]  Jacques Mairesse,et al.  Accounting for Innovation and Measuring Innovativeness: An Illustrative Framework and an Application , 2002 .

[20]  Alex Coad,et al.  Innovation and firm growth in high-tech sectors: A quantile regression approach , 2008 .

[21]  J. Sutton Gibrat's Legacy , 1996 .

[22]  Paul Geroski,et al.  Do Innovating Firms Outperform Non Innovators , 1992 .

[23]  Bart Verspagen,et al.  The spatial hierarchy of technological change and economic development in Europe , 2007 .

[24]  Hannele Wallenius,et al.  Economic impact of gazelle firms in Finland , 2000 .

[25]  Simon Bridge,et al.  Understanding Enterprise, Entrepreneurship and Small Business , 1998 .

[26]  Magnus Henrekson,et al.  Gazelles as job creators: a survey and interpretation of the evidence , 2010 .

[27]  E. Autio,et al.  Entrepreneurship, Innovation and Economic Growth: Evidence from GEM data , 2005 .

[28]  E. Autio,et al.  High-Growth SME Support Initiatives in Nine Countries: Analysis, Categorization, and Recommendations , 2007 .

[29]  Michael S. Dahl,et al.  The devil dwells in the tails , 2010 .

[30]  Daniel A. Levinthal,et al.  Innovation and Learning: The Two Faces of R&D , 1989 .

[31]  Alessandro Sterlacchini,et al.  Innovation, formal vs. informal R&D, and firm size: Some evidence from Italian manufacturing firms , 1990 .

[32]  Matthias Almus,et al.  What Characterizes a Fast Growing Firm? , 2002 .

[33]  P. Schreyer High-Growth Firms and Employment , 2000 .

[34]  G. Imbens,et al.  Implementing Matching Estimators for Average Treatment Effects in Stata , 2004 .

[35]  P. Aghion,et al.  Distance to Frontier, Selection, and Economic Growth , 2002 .

[36]  Nadīm Aḥmad A Proposed Framework for Business Demography Statistics , 2006 .

[37]  M. Vivarelli,et al.  The Catalysing Role of In-House R&D in Fostering the Complementarity of Innovative Inputs , 2007, SSRN Electronic Journal.

[38]  M. Vivarelli,et al.  One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata , 2005, SSRN Electronic Journal.

[39]  Petra E. Todd,et al.  Matching As An Econometric Evaluation Estimator , 1998 .

[40]  L. Amaral,et al.  Scaling behaviour in the growth of companies , 1996, Nature.

[41]  Stephen Roper,et al.  Product Innovation and Small Business Growth: A Comparison of the Strategies of German, U.K. and Irish Companies , 1997 .

[42]  M. Freel,et al.  Do Small Innovating Firms Outperform Non-Innovators? , 2000 .