IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/98-33.html
   My bibliography  Save this paper

Research, Innovation and Productivity : An Econometric Analysis at the Firm Level

Author

Listed:
  • Bruno Crépon

    (Crest)

  • Emmanuel Duguet

    (Crest)

  • Jacques Mairesse

    (Crest)

Abstract

This paper studies the links between productivity, innovation and research at th level. We introduce three new features: (i) A structural model that explains pro by innovation output, and innovation output by research investment; (ii) New dat manufacturing firms, including the number of European patents and the percentage sales, as well as firm-level demand pull and technology push indicators; (iii) E which correct for selectivity and simultaneity biases and take into account the features of the available data: only a small proportion of firms engage in resea apply for patents; productivity, innovation and research are endogenously determ investment and capital are truncated variables, patents are count data and innov We find that using the more widespread methods, and the more usual data and mode may lead to sensibly different estimates. We find in particular that simultaneit with selectivity, and that both sources of biases must be taken into account tog results are consistent with many of the stylized facts of the empirical literatu of engaging in research (R&D) for a firm increases with its size (number of empl share and diversification, and with the demand pull and technology push indicato capital intensity) of a firm engaged in research increases with the same variabl research capital being strictly proportional to size). The firm innovation outpu patent numbers or innovative sales, rises with its research effort and with the indicators, either directly or indirectly through their effects on research. Fin correlates positively with an higher innovation output, even when controlling fo the skill composition of labor as well as for physical capital intensity.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:98-33
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/1998-33.pdf
    File Function: Crest working paper version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    4. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    5. Crepon, B. & Duguet, E. & Kabla, I., 1995. "A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures," Papiers d'Economie Mathématique et Applications 95.06, Université Panthéon-Sorbonne (Paris 1).
    6. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    7. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    8. Jacques Mairesse & Philippe Cunéo, 1985. "Recherche-développement et performances des entreprises : une étude économétrique sur données individuelles," Revue Économique, Programme National Persée, vol. 36(5), pages 1001-1042.
    9. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    10. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    11. Bruno Crepon & Emmanuel Duguet & Isabelle Kabla, 1996. "Schumpeterian Conjectures: A Moderate Support from Various Innovation Measures," Palgrave Macmillan Books, in: Alfred Kleinknecht (ed.), Determinants of Innovation, chapter 3, pages 63-98, Palgrave Macmillan.
    12. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    13. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    14. repec:crs:wpaper:9730 is not listed on IDEAS
    15. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
    16. Pakes, Ariel & Griliches, Zvi, 1980. "Patents and R&D at the firm level: A first report," Economics Letters, Elsevier, vol. 5(4), pages 377-381.
    17. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 2, number 2.
    18. R. Schmalensee & R. Willig (ed.), 1989. "Handbook of Industrial Organization," Handbook of Industrial Organization, Elsevier, edition 1, volume 1, number 1.
    Full references (including those not matched with items on IDEAS)

    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. Hans Loof & Almas Heshmati, 2006. "On the relationship between innovation and performance: A sensitivity analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 317-344.
    2. Almas Heshmati & Hyesung Kim, 2011. "The R&D and productivity relationship of Korean listed firms," Journal of Productivity Analysis, Springer, vol. 36(2), pages 125-142, October.
    3. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    4. de Rassenfosse, Gaétan & Schoen, Anja & Wastyn, Annelies, 2014. "Selection bias in innovation studies: A simple test," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 287-299.
    5. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2018. "Internationalisation, innovation and productivity in services: evidence from Germany, Ireland and the United Kingdom," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 585-615, August.
    6. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
    7. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 2000. "Mesurer le rendement de l'innovation," Économie et Statistique, Programme National Persée, vol. 334(1), pages 65-78.
    8. Maria Luisa Mancusi, 2004. "International Spillovers and Absorptive Capacity: A cross-country, cross-sector analysis based on European patents and citations," STICERD - Economics of Industry Papers 35, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    9. Hans Lööf & Almas Heshmati, 2003. "The link between firm-level innovation and aggregate productivity growth: a cross-country examination," Research Evaluation, Oxford University Press, vol. 12(2), pages 131-147, August.
    10. Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1983. "Patents and R&D: Searching for a Lag Structure," NBER Working Papers 1227, National Bureau of Economic Research, Inc.
    11. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    12. 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.
    13. Diégo Legros & Fabrice Galia, 2012. "Are innovation and R&D the only sources of firms’ knowledge that increase productivity? An empirical investigation of French manufacturing firms," Journal of Productivity Analysis, Springer, vol. 38(2), pages 167-181, October.
    14. Ornaghi, Carmine, 2006. "Spillovers in product and process innovation: Evidence from manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 349-380, March.
    15. E. Cefis & M. Ghita, 2008. "Post Merger Innovative Patterns in Small and Medium Firms," Working Papers 08-09, Utrecht School of Economics.
    16. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    17. Chadha, Alka, 2009. "TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry," Economic Modelling, Elsevier, vol. 26(2), pages 499-505, March.
    18. Sunil Kanwar & Shailu Singh, 2016. "The Innovation-R&D Nexus- Evidence from the Indian Manufacturing Sector," Working papers 265, Centre for Development Economics, Delhi School of Economics.
    19. Roberta Piergiovanni & Enrico Santarelli, 2013. "The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 497-521, February.
    20. Gurneeta Vasudeva & Jennifer W. Spencer & Hildy J. Teegen, 2013. "Bringing the Institutional Context Back In: A Cross-National Comparison of Alliance Partner Selection and Knowledge Acquisition," Organization Science, INFORMS, vol. 24(2), pages 319-338, April.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:crs:wpaper:98-33. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.