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A New Approach to Estimation of the R&D-Innovation-Productivity Relationship

Author

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  • Christopher F Baum

    (Boston College
    DIW Berlin)

  • Hans Lööf

    (Royal Institute of Technology, Stockholm)

  • Pardis Nabavi

    (Royal Institute of Technology, Stockholm)

  • Andreas Stephan

    (Jönkoping International Business School)

Abstract

We evaluate a Generalized Structural Equation Model (GSEM) approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across technology and knowledge levels. The model accounts for selectivity and handles the endogeneity of this relationship in a recursive framework. Employing a panel of Swedish firms observed in three consecutive Community Innovation Surveys, our maximum likelihood estimates show that many key channels of influence among the model's components differ meaningfully in their statistical significance and magnitude across sectors defined by different technology levels.

Suggested Citation

  • Christopher F Baum & Hans Lööf & Pardis Nabavi & Andreas Stephan, 2015. "A New Approach to Estimation of the R&D-Innovation-Productivity Relationship," Boston College Working Papers in Economics 876, Boston College Department of Economics.
    • Handle: RePEc:boc:bocoec:876
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    Cited by:

    1. Emmanuel Mamatzakis & Panagiotis Pegkas & Christos Staikouras & Constantinos Tsamadias, 2023. "R&D contribution in TFP growth of Greek industry: A limited information likelihood approach," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1086-1111, October.
    2. Movahedi, Mohammad & Shahbazi, Kiumars & Gaussens, Olivier, 2017. "Innovation and willingness to export: Is there an effect of conscious self-selection?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-22.
    3. Schäfer, Dorothea & Stephan, Andreas & Mosquera, Jenniffer Solórzano, 2017. "Family ownership: does it matter for funding and success of corporate innovations?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(4), pages 931-951.
    4. Schäfer, Dorothea & Stephan, Andreas & Mosquera, Jenniffer Solórzano, 2015. "Innovation Capabilities and Financing Constraints of Family Firms," Working Paper Series in Economics and Institutions of Innovation 425, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    5. Yidan Liang, 2023. "Capital and labour distortion in China: a systematic literature review using HistCite," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 1759-1784, June.
    6. Audretsch, David & Hafenstein, Marian & Kritikos, Alexander S. & Schiersch, Alexander, 2018. "Firm Size and Innovation in the Service Sector," IZA Discussion Papers 12035, Institute of Labor Economics (IZA).
    7. Ferrando, Annalisa & Rossi, Stefania P. S. & Bonanno, Graziella, 2020. "Determinants of firms’ efficiency: do innovations and finance constraints matter? The case of European SMEs," Working Paper Series 2419, European Central Bank.
    8. Lööf, Hans, 2022. "What prevents spillovers from the pool of knowledge?," Working Paper Series in Economics and Institutions of Innovation 489, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    9. Castelnovo, Paolo & Florio, Massimo & Forte, Stefano & Rossi, Lucio & Sirtori, Emanuela, 2018. "The economic impact of technological procurement for large-scale research infrastructures: Evidence from the Large Hadron Collider at CERN," Research Policy, Elsevier, vol. 47(9), pages 1853-1867.
    10. Marcel Ausloos & Francesca Bartolacci & Nicola G. Castellano & Roy Cerqueti, 2018. "Exploring how innovation strategies at time of crisis influence performance: a cluster analysis perspective," Papers 1808.05893, arXiv.org.
    11. Mattia Di Ubaldo & Iulia Siedschlag, 2021. "Investment in Knowledge‐Based Capital and Productivity: Firm‐Level Evidence from a Small Open Economy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 363-393, June.
    12. Mohnen, Pierre, 2019. "R&D, innovation and productivity," MERIT Working Papers 2019-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Schubert, Torben & Ashouri, Sajad & Deschryvere, Matthias & Jäger, Angela & Visentin, Fabiana & Cunningham, Scott & Hajikhani, Arash & Pukelis, Lukas & Suominen, Arho, 2023. "The role of product digitization for productivity," MERIT Working Papers 2023-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Marcel Ausloos & Francesca Bartolacci & Nicola G. Castellano & Roy Cerqueti, 2020. "Simple approaches on how to discover promising strategies for efficient enterprise performance, at time of crisis in the case of SMEs : Voronoi clustering and outlier effects perspective," Papers 2012.14297, arXiv.org.
    15. Skare, Marinko & Gavurova, Beata & Rigelsky, Martin, 2023. "Innovation activity and the outcomes of B2C, B2B, and B2G E-Commerce in EU countries," Journal of Business Research, Elsevier, vol. 163(C).
    16. Graziella Bonanno & Annalisa Ferrando & Stefania Patrizia Sonia Rossi, 2023. "Do innovation and financial constraints affect the profit efficiency of European enterprises?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 57-86, March.
    17. David B. Audretsch & Maksim Belitski & Farzana Chowdhury & Sameeksha Desai, 2022. "Necessity or opportunity? Government size, tax policy, corruption, and implications for entrepreneurship," Small Business Economics, Springer, vol. 58(4), pages 2025-2042, April.
    18. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    19. Gebru, Bahre & Elofsson, Katarina, 2023. "The role of forest status in households’ fuel choice in Uganda," Energy Policy, Elsevier, vol. 173(C).

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    More about this item

    Keywords

    R&D; Innovation; Productivity; Generalized Structural Equation Model; Community Innovation Survey;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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