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Multidimensional Innovation and Productivity

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  • Jianmin Tang
  • Can Le

Abstract

Innovation is a complex process and has multiple dimensions. In assessing the linkage between innovation and productivity, most of studies, due to data limitations, use only one single indicator to measure innovation. This paper argues that this practice may systematically bias against certain groups of companies or industries since they often engage in different innovation activities to achieve their different business objectives. To better measure innovation, this paper develops an innovation index, a linear combination of multiple innovation indicators based on a latent variable model. The proposition is supported by evidence from a rich micro dataset for Canadian manufacturing firms.

Suggested Citation

  • Jianmin Tang & Can Le, 2007. "Multidimensional Innovation and Productivity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(7), pages 501-516.
    • Handle: RePEc:taf:ecinnt:v:16:y:2007:i:7:p:501-516
    DOI: 10.1080/10438590600914585
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    References listed on IDEAS

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    1. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
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    Cited by:

    1. Tommi Inkinen & Inka Kaakinen, 2016. "Economic Geography of Knowledge-Intensive Technology Clusters: Lessons from the Helsinki Metropolitan Area," Journal of Urban Technology, Taylor & Francis Journals, vol. 23(1), pages 95-114, January.
    2. Pohlmann, Tim, 2009. "Innovationspotenziale und -verwertungsstrategien an deutschen Hochschulen [Motives and Barriers to patent in Universities]," MPRA Paper 27344, University Library of Munich, Germany, revised 01 Dec 2009.
    3. Pohlmann, Tim, 2010. "Innovationspotenziale und -verwertungsstrategien an deutschen Hochschulen," Discussion Papers on Strategy and Innovation 10-01, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
    4. Lukman Raimi & Hassan Yusuf, 2020. "A Critical Discourse of EI and CA in Emerging Economies: The Place of Nigeria Within the Global Innovation Ecosystems," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 6(2), pages 295-314, July.
    5. Jieun Lee, 2022. "Moral Hazard on Productivity Among Work-From-Home Workers Amid the COVID-19 Pandemic," Papers 2209.05684, arXiv.org.
    6. 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.
    7. 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.
    8. 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.
    9. 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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    Keywords

    Innovation; Productivity;

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