IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v22y2011i2p93-105.html
   My bibliography  Save this article

Structural change and industrial classification

Author

Listed:
  • Hicks, Diana

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.

Suggested Citation

  • Hicks, Diana, 2011. "Structural change and industrial classification," Structural Change and Economic Dynamics, Elsevier, vol. 22(2), pages 93-105, June.
    • Handle: RePEc:eee:streco:v:22:y:2011:i:2:p:93-105
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954-349X(11)00020-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fagerberg, Jan & Verspagen, Bart, 2009. "Innovation studies--The emerging structure of a new scientific field," Research Policy, Elsevier, vol. 38(2), pages 218-233, March.
    2. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    3. 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.
    4. Gene M. Grossman & Esteban Rossi-Hansberg, 2008. "Trading Tasks: A Simple Theory of Offshoring," American Economic Review, American Economic Association, vol. 98(5), pages 1978-1997, December.
    5. Dalziel, Margaret, 2007. "A systems-based approach to industry classification," Research Policy, Elsevier, vol. 36(10), pages 1559-1574, December.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jinho Choi & Yong Sik Chang, 2020. "Development of a New Methodology to Identity Promising Technology Areas Using M&A Information," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    2. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    3. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Data, MDPI, vol. 2(2), pages 1-77, June.
    4. Niembro, Andrés & Calá, Carla Daniela, 2024. "Regional structural change in Argentina (1996-2019): Concepts, measurements and unequal trajectories over the business cycle," Nülan. Deposited Documents 4106, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    5. 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.
    6. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Papers 1706.04210, arXiv.org, revised Dec 2017.
    7. Jinho Choi & Sunghun Chung & Yong Sik Chang, 2019. "Is M&A Information Useful for Exploring Promising Industries and Technologies?," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    8. Anders Broström & Eric Giertz, 2021. "Service development accounts for an even smaller share of European R&D investments than we may think," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1256-1267, August.
    9. Niembro, Andrés & Calá, Carla Daniela, 2023. "Cambio estructural regional en Argentina: conceptualización y medición a nivel de áreas económicas locales (1996-2019)," Nülan. Deposited Documents 4051, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    10. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dalziel, Margaret, 2007. "A systems-based approach to industry classification," Research Policy, Elsevier, vol. 36(10), pages 1559-1574, December.
    2. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    3. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & Gino Cattani & Joseph F. Porac & Howard Thomas, 2017. "Categories and competition," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 64-92, January.
    4. Kvedarienė Audronė, 2019. "Strategic technology management within global value systems," Open Economics, De Gruyter, vol. 2(1), pages 43-52, January.
    5. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    6. Jangam, Bhushan Praveen & Rath, Badri Narayan, 2020. "Cross-country convergence in global value chains: Evidence from club convergence analysis," International Economics, Elsevier, vol. 163(C), pages 134-146.
    7. Fixson, Sebastian K. & Park, Jin-Kyu, 2008. "The power of integrality: Linkages between product architecture, innovation, and industry structure," Research Policy, Elsevier, vol. 37(8), pages 1296-1316, September.
    8. Luo, Jianxi & Triulzi, Giorgio, 2018. "Cyclic dependence, vertical integration, and innovation: The case of Japanese electronics sector in the 1990s," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 46-55.
    9. Andy Fodor & Randy D. Jorgensen & John D. Stowe, 2021. "Financial clusters, industry groups, and stock return correlations," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(1), pages 121-144, April.
    10. 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.
    11. Luo, Jianxi, 2018. "Architecture and evolvability of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 132-144.
    12. van der Heijden, Hans, 2022. "Predicting industry sectors from financial statements: An illustration of machine learning in accounting research," The British Accounting Review, Elsevier, vol. 54(5).
    13. 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.
    14. Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Measuring a country’s digital industrial structure: commercial websites and weakly supervised classification to the rescue," SocArXiv h572n, Center for Open Science.
    15. Cody, John, 2015. "How labor manages productivity advances and crisis response: A comparative study of automotive manufacturing in Germany and the US," GLU Working Papers 32, Global Labour University (GLU).
    16. Saygılı, Hülya, 2017. "Production fragmentation and factor price convergence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 535-544.
    17. Joseph Francois & Bernard Hoekman, 2010. "Services Trade and Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 642-692, September.
    18. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    19. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2018. "Global Firms," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 565-619, June.
    20. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:streco:v:22:y:2011:i:2:p:93-105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.