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CDM using a cross-country micro moments database

Author

Listed:
  • Eric Bartelsman
  • George van Leeuwen
  • Michael Polder

Abstract

This note starts with a retrospective view of the CDM model [Crépon, Bruno, Emmanuel Duguet, and Jacques Mairesse. 1998. “Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.” Economics of Innovation and New Technology 7 (2): 115–158.] as an econometric framework for studying innovation and growth. A narrative interpretation of CDM describes the chain from innovative activity at firms to increases in welfare and makes links to the policy environment. Filling in missing pieces of the innovation to productivity puzzle has a heavy data burden. The paper makes use of the micro moments database (MMD) that allows observing micro-level behavior and macro-level impacts of innovation and production in a large selection of European countries. Two examples are given of research using the MMD. First, we estimate a simplified system of innovation and production equations that can be applied to average firm choices and outcomes, as well as to industry or aggregate outcomes. We find that innovative activity contributes to aggregate productivity even while the average effect at the firm level is insignificant. Next, a cross-country exploration is made that shows heightened productivity effects of combined use by firms of various enterprise-level information and communications technologies.

Suggested Citation

  • Eric Bartelsman & George van Leeuwen & Michael Polder, 2017. "CDM using a cross-country micro moments database," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 168-182, February.
    • Handle: RePEc:taf:ecinnt:v:26:y:2017:i:1-2:p:168-182
    DOI: 10.1080/10438599.2016.1202517
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    References listed on IDEAS

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    1. Daron Acemoglu & Ufuk Akcigit & Harun Alp & Nicholas Bloom & William Kerr, 2018. "Innovation, Reallocation, and Growth," American Economic Review, American Economic Association, vol. 108(11), pages 3450-3491, November.
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    3. Michael Polder & George van Leeuwen & Pierre Mohnen & Wladimir Raymond, 2010. "Product, Process and Organizational Innovation: Drivers, Complementarity and Productivity Effects," DRUID Working Papers 10-24, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    4. Ralf Martin, 2005. "Productivity Dispersion, Competition and Productivity Measurement," CEP Discussion Papers dp0692, Centre for Economic Performance, LSE.
    5. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," 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 609-639, Elsevier.
    6. Van Leeuwen, George & Polder, Michael, 2013. "Linking ICT related Innovation Adoption and Productivity: results from micro-aggregated data versus firm-level data," MPRA Paper 46479, University Library of Munich, Germany.
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    Cited by:

    1. Ugur, Mehment & Vivarelli, Marco, 2020. "The role of innovation in industrial dynamics and productivity growth: a survey of the literature," GLO Discussion Paper Series 648, Global Labor Organization (GLO).
    2. Natália Barbosa & Ana Paula faria, 2022. "Digital adoption and productivity: understanding micro drivers of the aggregate effect," GEE Papers 0162, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jun 2022.
    3. Pierre Mohnen & Michael Polder & George van Leeuwen, 2019. "Information and Communications Technology, R&D, and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 299-322, National Bureau of Economic Research, Inc.
    4. Meng, Ting & Yang, Yuqi & Xie, E. & Xie, Yuxiang, 2025. "The dual effects of digitization: An enterprise perspective," Journal of Asian Economics, Elsevier, vol. 100(C).
    5. Mehmet Ugur & Marco Vivarelli, 2021. "Innovation, firm survival and productivity: the state of the art," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(5), pages 433-467, July.
    6. Dimitris Gavalas & Theodoros Syriopoulos & Efthimios Roumpis, 2022. "Digital adoption and efficiency in the maritime industry," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-22, December.
    7. Deborah Giustini, 2021. "The Impact Of Labour Market Trends On The Employment Of R&D Personnel: A Literature Review," HSE Working papers WP BRP 117/STI/2021, National Research University Higher School of Economics.
    8. Pierre Mohnen & Michael Polder & George van Leeuwen, 2018. "ICT, R&D and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Working Papers 25044, National Bureau of Economic Research, Inc.
    9. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Konstantins Benkovskis & Styliani Christodoulopoulou & Olegs Tkacevs, 2025. "Adaption of Digital Technologies: the Case of Latvian Firms," Discussion Papers 2025/01, Latvijas Banka.
    11. Nathalie Greenan & Silvia Napolitano & Imad El Hamma, 2022. "Technologies numériques, capacité d'apprentissage de l'organisation et l'innovation : résultats empiriques à l'échelle de l'UE à partir d'un ensemble de données combinées," Working Papers halshs-03941324, HAL.
    12. Nathalie Greenan & Silvia Napolitano, 2024. "Digital technologies, learning capacity of the organization and innovation: EU-wide empirical evidence from a combined dataset," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 634-669.
    13. Zhou, Yong & Yang, Qijin & Lu, Shuo, 2023. "Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China," Technology in Society, Elsevier, vol. 75(C).
    14. Mehmet Ugur & Marco Vivarelli, 2020. "Technology, industrial dynamics and productivity: a critical survey," DISCE - Working Papers del Dipartimento di Politica Economica dipe0011, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    15. Nathalie Greenan & Silvia Napolitano, 2021. "Why Do Employees Participate in Innovations? Skills and Organizational Design Issues and the Ongoing Technological Transformation," Post-Print halshs-03464619, HAL.
    16. Nicoletti, Giuseppe & von Rueden, Christina & Andrews, Dan, 2020. "Digital technology diffusion: A matter of capabilities, incentives or both?," European Economic Review, Elsevier, vol. 128(C).
    17. Consolo, Agostino & Cette, Gilbert & Bergeaud, Antonin & Labhard, Vincent & Osbat, Chiara & Kosekova, Stanimira & Anyfantaki, Sofia & Basso, Gaetano & Basso, Henrique & Bobeica, Elena & Ciapanna, Eman, 2021. "Digitalisation: channels, impacts and implications for monetary policy in the euro area," Occasional Paper Series 266, European Central Bank.
    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. Mironov, V. & Kuznetsov, A. & Konovalova, L., 2024. "On the sectoral effects of digitalization based on new indicators by type of economic activity," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 143-179.

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