IDEAS home Printed from https://ideas.repec.org/p/csc/cerisp/200706.html
   My bibliography  Save this paper

Heterogeneity of innovation strategies and firms’ performance

Author

Abstract

This work deals with two main issues: first, the possibility of identifying differences in firm economic returns (operating profit margins) for different groups of innovation strategy and second, the possibility of checking for factors explaining the probability of being within the best performers for each group of innovation strategy. It is an empirically based analysis using descriptive statistics (first part) and a probit econometric analysis (second part) where data are collected at firm level from two CIS surveys matched with economic accountability data for 902 Italian manufacturing firms for the period 1998-2000. The distribution analysis of profit margins by different populations of firms shows a better economic performance for groups characterized by more complex innovation strategies. Unexpectedly, the risk associated to economic returns is lower for groups where returns’ mean is higher. In this case skewness is higher too suggesting that reaching “excellence” is more difficult. The probit regressions account for the role played by different (market and firm) factors on the probability of being the best positioned for each firm population. This work gives two main messages: first, when studying the impact of R&D activity (both on firm productivity or competitiveness) it is worth to distinguish among different kinds of innovation strategy rather than limiting the analysis to aggregated results and second, it appears quite clear that competition awards more complex innovation strategies than simple R&D intra-muros activity.

Suggested Citation

  • Bianca Potì & Giovanni Cerulli, 2007. "Heterogeneity of innovation strategies and firms’ performance," CERIS Working Paper 200706, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
  • Handle: RePEc:csc:cerisp:200706
    as

    Download full text from publisher

    File URL: http://www.digibess.it/fedora/repository/object_download/openbess:TO094-00049/PDF/openbess_TO094-00049.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jacques Mairesse & Pierre Mohnen, 2002. "Accounting for Innovation and Measuring Innovativeness: An Illustrative Framework and an Application," American Economic Review, American Economic Association, vol. 92(2), pages 226-230, May.
    2. Orietta Marsili & Ammon Salter, 2005. "'Inequality' of innovation: skewed distributions and the returns to innovation in Dutch manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 83-102.
    3. repec:adr:anecst:y:1998:i:49-50 is not listed on IDEAS
    4. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    5. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
    6. F. M. Scherer, 1998. "The Size Distribution of Profits from Innovation," Annals of Economics and Statistics, GENES, issue 49-50, pages 495-516.
    7. Cohen, Wesley M. & Levin, Richard C., 1989. "Empirical studies of innovation and market structure," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 18, pages 1059-1107, Elsevier.
    8. Jacques Mairesse & Mohamed Sassenou, 1991. "R&D Productivity: A Survey of Econometric Studies at the Firm Level," NBER Working Papers 3666, National Bureau of Economic Research, Inc.
    9. Elena Cefis & Matteo Ciccarelli, 2005. "Profit differentials and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 43-61.
    10. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cerina, Fabio & Mureddu, Francesco, 2014. "Is agglomeration really good for growth? Global efficiency, interregional equity and uneven growth," Journal of Urban Economics, Elsevier, vol. 84(C), pages 9-22.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mickey Folkeringa & Andre van Stel & Joris Meijaard, 2005. "Innovation, strategic renewal and its effect on small firm performance," Papers on Entrepreneurship, Growth and Public Policy 2005-36, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    2. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    3. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    4. Ebersberger, Bernd & Marsili, Orietta & Reichstein, Toke & Salter, Ammon, 2008. "Fortune favours the brave: The distribution of innovative returns in Finland, the Netherlands and the UK," Structural Change and Economic Dynamics, Elsevier, vol. 19(4), pages 357-362, December.
    5. Bogliacino, Francesco & Pianta, Mario, 2011. "Engines of growth. Innovation and productivity in industry groups," Structural Change and Economic Dynamics, Elsevier, vol. 22(1), pages 41-53, February.
    6. Cefis, Elena & Marsili, Orietta, 2015. "Crossing the innovation threshold through mergers and acquisitions," Research Policy, Elsevier, vol. 44(3), pages 698-710.
    7. Fontana, Roberto & Vezzulli, Andrea, 2016. "Technological leadership and persistence in product innovation in the Local Area Network industry 1990–1999," Research Policy, Elsevier, vol. 45(8), pages 1604-1619.
    8. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre (Seville site).
    9. Yu, Xiaohua & Abler, David G. & Peng, Chao, 2008. "Dancing with the Dragon Heads: Enforcement, Innovations and Efficiency of Contracts between Agricultural Processors and Farmers in China," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6144, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Nauro Campos & Francesco Giovannoni, 2007. "Lobbying, corruption and political influence," Public Choice, Springer, vol. 131(1), pages 1-21, April.
    11. John Gilbert & Reza Oladi, 2012. "Net campaign contributions, agricultural interests, and votes on liberalizing trade with China," Public Choice, Springer, vol. 150(3), pages 745-769, March.
    12. Harabi, Najib, 1991. "Einflussfaktoren von Forschung und Entwicklung in der Schweizer Industrie: Ergebnisse einer schriftlichen Expertenbefragung [Factors Affecting Research and Development - Results of a Survey in Swis," MPRA Paper 5257, University Library of Munich, Germany.
    13. Wolfgang Becker & Juergen Peters, 2000. "Technological Opportunities, Absorptive Capacities, and Innovation," Discussion Paper Series 195, Universitaet Augsburg, Institute for Economics.
    14. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    15. Silverberg, Gerald & Verspagen, Bart, 2005. "A percolation model of innovation in complex technology spaces," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 225-244, January.
    16. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1992. "Ivory Tower Versus Corporate Lab: An Empirical Study of Basic Research and Appropriability," NBER Working Papers 4146, National Bureau of Economic Research, Inc.
    17. Kano, Kazuko & Kano, Takashi & Takechi, Kazutaka, 2013. "Exaggerated death of distance: Revisiting distance effects on regional price dispersions," Journal of International Economics, Elsevier, vol. 90(2), pages 403-413.
    18. Carolina Castaldi & Mishael Milakovic & Angelo Secchi, 2003. "Diversification Patterns in the Growth of Firms: Evidence from Italian Manufacturing," LEM Papers Series 2003/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    19. Roper, Stephen & Hewitt-Dundas, Nola & Love, James H., 2004. "An ex ante evaluation framework for the regional benefits of publicly supported R&D projects," Research Policy, Elsevier, vol. 33(3), pages 487-509, April.
    20. Jirjahn, Uwe & Mohrenweiser, Jens, 2013. "Active owners and the failure of newly adopted works councils," ZEW Discussion Papers 13-080, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    profitability; strategic heterogeneity; R&D and innovation; probit regression;
    All these keywords.

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csc:cerisp:200706. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anna Perin) or (Giancarlo Birello). General contact details of provider: http://edirc.repec.org/data/cerisit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.