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Unraveling the R&D-Innovation-Productivity relationship - a study of an academic endavour

Author

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  • Broström , Anders

    () (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • Karlsson, Staffan

    (Swedish Research Council & Royal Institute of Technology (KTH))

Abstract

This paper accounts for the development of the academic endavour to determine the firm-level relationship between investments in R&D and productivity. The impact of 28 highly cited publications within this line of study is investigated using a combination of bibliometric techniques and citation function analysis. We show how the attention paid to this line of research broadens and deepens in parallel to the diffusion of innovation as a research theme during 2000s. Our findings also suggest that the attraction of scholarly attention is driven by combination of broadening interest in the central research question under study and boundary-pushing methodological contributions made in the key contributions.

Suggested Citation

  • Broström , Anders & Karlsson, Staffan, 2015. "Unraveling the R&D-Innovation-Productivity relationship - a study of an academic endavour," Working Paper Series in Economics and Institutions of Innovation 414, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0414
    as

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    File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp414.pdf
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    References listed on IDEAS

    as
    1. Manuel Portugal Ferreira & Cláudia Frias Pinto & Fernando Ribeiro Serra, 2014. "The transaction costs theory in international business research: a bibliometric study over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1899-1922, March.
    2. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    3. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    4. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    5. Martin, Ben R., 2012. "The evolution of science policy and innovation studies," Research Policy, Elsevier, vol. 41(7), pages 1219-1239.
    6. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    7. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    8. B.J. Heijdra & A.D. Lowenberg, 1986. "Duhem-Quine, Lakatos and Research Programmes in Economics," Journal of Interdisciplinary Economics, , vol. 1(3), pages 175-187, April.
    9. Pavitt, Keith, 1998. "Technologies, Products and Organization in the Innovating Firm: What Adam Smith Tells Us and Joseph Schumpeter Doesn't," Industrial and Corporate Change, Oxford University Press, vol. 7(3), pages 433-452, September.
    10. Pierre Mohnen & Bronwyn Hall, 2013. "Innovation and Productivity: An Update," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 47-65, June.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    innovation; productivity; R&D; citation analysis; bibliometric analysis;

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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