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Link between innovation and productivity in Canadian manufacturing industries

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  • Wulong Gu
  • Jianmin Tang

Abstract

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980-1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.

Suggested Citation

  • Wulong Gu & Jianmin Tang, 2004. "Link between innovation and productivity in Canadian manufacturing industries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(7), pages 671-686.
    • Handle: RePEc:taf:ecinnt:v:13:y:2004:i:7:p:671-686
    DOI: 10.1080/1043890410001686806
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    Cited by:

    1. Susanna Mancinelli & Massimiliano Mazzanti, 2009. "Innovation, networking and complementarity: evidence on SME performances for a local economic system in North-Eastern Italy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 567-597, September.
    2. Rõigas, Kärt, 2011. "Linkage between productivity and innovation in different service sectors," Discourses in Social Market Economy 2011-02, OrdnungsPolitisches Portal (OPO).
    3. Makkonen Teemu, 2011. "Innovation and Regional Socio-Economic Development - Evidence from the Finnish Local Administrative Units (1)," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 15(15), pages 27-42, January.
    4. Massimiliano Mazzanti & Roberto Zoboli, 2006. "Examining the Factors Influencing Environmental Innovations," Working Papers 2006.20, Fondazione Eni Enrico Mattei.
    5. Mario Pianta & Andrea Vaona, 2007. "Innovation and Productivity in European Industries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(7), pages 485-499.
    6. Josef Taalbi & Mikhail Martynovich, 2024. "On the urban bias of patents and the scaling of innovation," Papers in Evolutionary Economic Geography (PEEG) 2422, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2024.
    7. M. Constanza Demmel & Juan A. Máñez & María E. Rochina-Barrachina & Juan A. Sanchis-Llopis, 2013. "Innovation and productivity: evidence for 4 Latin American countries manufacturing industry," Working Papers 1307, Department of Applied Economics II, Universidad de Valencia.
    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. Mazzanti, Massimiliano & Mancinelli, Susanna, 2007. "SME Performance, Innovation and Networking Evidence on Complementarities for a Local Economic System," Knowledge, Technology, Human Capital Working Papers 9554, Fondazione Eni Enrico Mattei (FEEM).
    10. Don Jyh-Fu Jeng & Artur Pak, 2016. "The variable effects of dynamic capability by firm size: the interaction of innovation and marketing capabilities in competitive industries," International Entrepreneurship and Management Journal, Springer, vol. 12(1), pages 115-130, March.
    11. Meeta Dasgupta & R.K. Gupta & A. Sahay, 2011. "Linking Technological Innovation, Technology Strategy and Organizational Factors," Global Business Review, International Management Institute, vol. 12(2), pages 257-277, June.
    12. Jianmin Tang & Henrique Do Livramento, 2010. "Offshoring And Productivity: A Micro‐Data Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 111-134, June.
    13. Francesco Crespi & Mario Pianta, 2008. "Demand and innovation in productivity growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 22(6), pages 655-672.
    14. Teemu Makkonen & Robert P. Have, 2013. "Benchmarking regional innovative performance: composite measures and direct innovation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 247-262, January.
    15. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2020. "A Multi-Criteria Reference Point Based Approach for Assessing Regional Innovation Performance in Spain," Mathematics, MDPI, vol. 8(5), pages 1-21, May.
    16. Joseph Dery Nyeadi & Victor Kunsofah Kunbuor & Ernest Domanaanmwi Ganaa, 2018. "Innovation and Firm Productivity: Empirical Evidence from Ghana," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 14(5), pages 127-140, OCTOBER.

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    Innovation; Productivity;

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