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Structural change and industrial classification

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  • Hicks, Diana
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    Abstract

    Understanding of structural change is compromised because scholars do not clearly articulate the limits of the classification infrastructure (NAICS or GICS) that shapes empirical analysis. These limits are particularly salient in the study of innovation, an activity that by its nature challenges existing categories. Because innovative industries are often not part of the classification infrastructure, they are invisible in empirical analyses and in government statistics. This paper examines the classification of a population of highly innovative, often small, firms working in gaming devices, packaging, filtration, photonics, imaging, biomedical research and fabless semiconductor design. I find examples of knowledge integration, vertical disintegration and emerging industries that challenge both NAICS and GICS exposing their strengths and weaknesses.

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    Bibliographic Info

    Article provided by Elsevier in its journal Structural Change and Economic Dynamics.

    Volume (Year): 22 (2011)
    Issue (Month): 2 (June)
    Pages: 93-105

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    Handle: RePEc:eee:streco:v:22:y:2011:i:2:p:93-105

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    Web page: http://www.elsevier.com/locate/inca/525148

    Related research

    Keywords: NAICS Photonics Industrial classification Knowledge integration Vertical disintegration GICS;

    References

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    1. Sanjeev Bhojraj & Charles M. C. Lee & Derek K. Oler, 2003. "What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 745-774, December.
    2. Gene M. Grossman & Esteban Rossi-Hansberg, 2006. "Trading Tasks: A Simple Theory of Offshoring," NBER Working Papers 12721, National Bureau of Economic Research, Inc.
    3. Jan Fagerberg & Bart Verspagen, 2009. "Innovation Studies – the emerging structure of a new scientific field," Working Papers on Innovation Studies 20090104, Centre for Technology, Innovation and Culture, University of Oslo.
    4. Jacobides, Michael G. & Knudsen, Thorbjorn & Augier, Mie, 2006. "Benefiting from innovation: Value creation, value appropriation and the role of industry architectures," Research Policy, Elsevier, vol. 35(8), pages 1200-1221, October.
    5. Dalziel, Margaret, 2007. "A systems-based approach to industry classification," Research Policy, Elsevier, vol. 36(10), pages 1559-1574, December.
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    Cited by:
    1. Christensen, Jesper Lindgaard, 2013. "The ability of current statistical classifications to separate services and manufacturing," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 47-60.
    2. Garbellini, Nadia & Wirkierman, Ariel Luis, 2014. "Blocks and circularity in labour requirements: An interplay between clusters and subsystems in the EU," Structural Change and Economic Dynamics, Elsevier, vol. 28(C), pages 60-74.

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