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Innovation, R&D and Productivity - assessing alternative specifications of CDM-models

Author

Listed:
  • Johansson, Börje

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

  • Lööf, Hans

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

Abstract

This paper applies a CDM-model framework to depict the successive links (correlations) between (i) innovation expenditure, (ii) innovation output, and (iii) firm productivity. The CDM model has become popular in many countries among scholars using data from the Community Innovation Survey (CIS). First, the study contrasts a general structural OECD version of the model against a model with country-specific design. Second, the study examines the gains from separating the labour force into ordinary and knowledge labour – as a means to avoid double counting of R&D investments. Third, the paper examines the difference between recognising a firm as a member of an unspecified company group versus a multinational group. Fourth, the paper explores how well sales per employee serves as a proxy for labour productivity proper. Fifth, the paper scrutinises the quality of CIS information by comparing key variables from the voluntary CIS survey with the same variables (for the same firms) recorded in the compulsory and audited register data in Sweden.

Suggested Citation

  • Johansson, Börje & Lööf, Hans, 2009. "Innovation, R&D and Productivity - assessing alternative specifications of CDM-models," Working Paper Series in Economics and Institutions of Innovation 159, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    • Handle: RePEc:hhs:cesisp:0159
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    Citations

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    Cited by:

    1. Roberto Antonietti, 2011. "From creativity to innovativeness: micro evidence from Italy," Openloc Working Papers 1117, Public policies and local development.
    2. Roberto Antonietti, 2015. "Does Local Creative Employment Affect Firm Innovativeness? Microeconometric Evidence from Italy," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3), pages 5-29.
    3. Dragan Tevdovski & Katerina Tosevska-Trpcevska & Elena Makrevska Disoska, 2017. "What is the role of innovation in productivity growth in Central and Eastern European countries?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(3), pages 527-551, July.
    4. JUSTIN DORAN & NOIRIN McCARTHY & MARIE O’CONNOR, 2019. "The Importance Of Internal Knowledge Generation And External Knowledge Sourcing For Sme Innovation And Performance: Evidence From Ireland," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-30, October.
    5. Howell, Anthony, 2018. "Innovation and Firm Performance in the People’s Republic of China: A Structural Approach with Spillovers," ADBI Working Papers 805, Asian Development Bank Institute.
    6. Florian Flachenecker & Martin Kornejew, 2019. "The causal impact of material productivity on microeconomic competitiveness and environmental performance in the European Union," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(1), pages 87-122, January.

    More about this item

    Keywords

    Productivity; Innovation; R&D; CDM-model;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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