Firm Size and Innovation in European Manufacturing

The paper investigates the differences between small, medium-sized and large firms regarding their performance in the introduction of new products and processes. After a review of the relevant literature, two models are proposed and tested in search for different business strategies and innovation inputs connected to product and process innovations. The empirical analysis uses innovation survey (CIS 2) data at the industry level for 22 manufacturing sectors, broken down in three firm size classes, for eight European countries. Special attention is devoted to tackling the issues of possible endogeneity of the regressors and of unobserved sectoral heterogeneity. The results – strengthening the findings of previous studies – show that product and process innovations, though having some complementarities, are associated to different innovative inputs and strategies pursued by firms. Systematic differences also emerge between the behaviour of large firms and SMEs.

[1]  Zvi Griliches,et al.  R&D, Patents, and Productivity , 1981 .

[2]  M. Rogers Networks, Firm Size and Innovation , 2004 .

[3]  Frederic M. Scherer,et al.  Innovation and Growth: Schumpeterian Perspectives , 1986 .

[4]  Luc Soete,et al.  Firm size and inventive activity: The evidence reconsidered , 1979 .

[5]  P. Vermeulen,et al.  Determinants of product innovation in small firms: A Comparison Across Industries , 2004 .

[6]  M. Granger Morgan,et al.  The Transfer and Utilization of Technical Knowledge , 1983 .

[7]  Steven T. Berry Estimating Discrete-Choice Models of Product Differentiation , 1994 .

[8]  Pietro Balestra Best quadratic unbiased estimators of the variance-covariance matrix in normal regression , 1973 .

[9]  Maryann P. Feldman,et al.  R&D spillovers and recipient firm size , 1994 .

[10]  J. Love,et al.  Market versus Corporate Structure in Plant-Level Innovation Performance , 1999 .

[11]  Takeshi Amemiya,et al.  The Estimation of the Variances in a Variance-Components Model , 1971 .

[12]  Almas Heshmati,et al.  Knowledge capital and performance heterogeneity: : A firm-level innovation study , 2002 .

[13]  David B. Audretsch,et al.  Small firms and R&D spillovers: Evidence from Italy , 1994 .

[14]  Mark Dodgson,et al.  The Handbook of Industrial Innovation , 1994 .

[15]  Mario Pianta,et al.  Employment Effects of Product and Process Innovation in Europe , 2002 .

[16]  Marc Nerlove,et al.  Further evidence on the estimation of dynamic economic relations from a time series of cross-sections , 1971 .

[17]  Luc Soete,et al.  Technology and the Future of European Employment , 2001 .

[18]  David B. Audretsch,et al.  Innovation and Technological Change: An International Comparison , 1991 .

[19]  B. Baltagi,et al.  Econometric Analysis of Panel Data , 2020, Springer Texts in Business and Economics.

[20]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[21]  Spyros Arvanitis,et al.  The impact of firm size on innovative activity – an empirical analysis based on swiss firm data , 1997 .

[22]  J. Hausman Specification tests in econometrics , 1978 .

[23]  Z. Ács,et al.  Innovation and Small Firms , 1990 .

[24]  Mark Dodgson,et al.  Innovation and Size of Finn , 1995 .

[25]  Badi H. Baltagi,et al.  Pooling cross-sections with unequal time-series lengths , 1985 .

[26]  S. Kullback,et al.  Some Aspects of Multivariate Analysis. , 1958 .

[27]  Tom Wansbeek,et al.  Estimation of the error-components model with incomplete panels , 1989 .

[28]  Stephen Machin,et al.  Implications of Skill-Biased Technological Change , 1998 .

[29]  M. Pianta,et al.  Technology and jobs , 2009 .

[30]  David B. Audretsch,et al.  Innovation and Technological Change , 2003 .

[31]  Bruno Crépon,et al.  Research, Innovation, and Productivity: an Econometric Analysis at the Firm Level , 1998 .

[32]  David B. Audretsch,et al.  Innovation in Large and Small Firms: An Empirical Analysis , 1988 .

[33]  Ashiq Hussain,et al.  The Use of Error Components Models in Combining Cross Section with Time Series Data , 1969 .

[34]  M. Pianta Innovation, demand and employment , 2001 .

[35]  Wesley M. Cohen,et al.  Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D , 1996 .

[36]  Z. Griliches,et al.  Who Does R&D and Who Patents? , 1982 .

[37]  R. Thurik,et al.  Some New Evidence on the Determinants of Large- and Small-Firm Innovation , 1997 .

[38]  Wayne A. Fuller,et al.  Estimation of linear models with crossed-error structure , 1974 .

[39]  P. Davis,et al.  Estimating multi-way error components models with unbalanced data structures , 2002 .

[40]  Sandra E. Black,et al.  How to Compete: The Impact of Workplace Practices and Information Technology on Productivity , 1997, Review of Economics and Statistics.

[41]  Z. Ács,et al.  Innovation, Market Structure, and Firm Size , 1987 .

[42]  Steven Klepper,et al.  A Reprise of Size and R & D , 1996 .

[43]  Brent R. Moulton,et al.  Alternative Tests of the Error Components Model , 1989 .

[44]  David B. Audretsch,et al.  The Economics of Small Firms , 1990 .

[45]  Brent R. Moulton Random group effects and the precision of regression estimates , 1986 .

[46]  Marc Nerlove,et al.  A Note on Error Components Models , 1971 .