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A New Typology for Economic Sectors with a view to Policy Implications

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  • Eduardo Pol
  • Peter Carroll
  • Paul Robertson

Abstract

This paper is an attempt to tease out a typology of economic sectors based on a systems approach to innovation and economic growth that may be useful for policy analysis. The typology explored here revolves around novel products rather than ethereal knowledge-producing entities. This insight goes back to Allyn Young (1928) and Joseph Schumpeter (1934) who argued that the introduction of new goods was the engine of economic growth. More precisely, our typology of sectors focuses on novel products which are efficiency-enhancing within and between sectors through the market mechanism. The scheme revolves around the relationship between 'Enabling' and 'Recipient' sectors (which gives the typology its name: ER), and offers a lens for viewing and interpreting a substantive part of the mechanics of modern economic growth. The last part of the paper briefly discusses a few immediate policy implications, although it has the potential for greater use and value in this regard.

Suggested Citation

  • Eduardo Pol & Peter Carroll & Paul Robertson, 2002. "A New Typology for Economic Sectors with a view to Policy Implications," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(1), pages 61-76.
  • Handle: RePEc:taf:ecinnt:v:11:y:2002:i:1:p:61-76
    DOI: 10.1080/10438590210892
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    Citations

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    Cited by:

    1. Michael Peneder, 2003. "Industry Classifications: Aim, Scope and Techniques," Journal of Industry, Competition and Trade, Springer, vol. 3(1), pages 109-129, March.
    2. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Data, MDPI, vol. 2(2), pages 1-77, June.
    3. Srholec, Martin & Verspagen, Bart, 2008. "The Voyage of the Beagle in Innovation Systems Land.Explorations on Sectors, Innovation, Heterogeneity and Selection," MERIT Working Papers 2008-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Andrea F. Presbitero & Matteo G. Richiardi & Alessia A. Amighini, 2015. "Is labor flexibility a substitute to offshoring? Evidence from Italian manufacturing," International Economics, CEPII research center, issue 142, pages 81-93.
    5. Paul L. Robertson & David Jacobson (ed.), 2011. "Knowledge Transfer and Technology Diffusion," Books, Edward Elgar Publishing, number 13293.
    6. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Papers 1706.04210, arXiv.org, revised Dec 2017.
    7. Allan Dahl Andersen & Tuukka Mäkitie & Markus Steen & Iris Wanzenböck, 2024. "Integrating industrial transformation and sustainability transitions research through a multi-sectoral perspective," Working Papers on Innovation Studies 20240206, Centre for Technology, Innovation and Culture, University of Oslo.
    8. Saon Ray, 2011. "International Technology Diffusion and Productivity in Low- and," Chapters, in: Paul L. Robertson & David Jacobson (ed.), Knowledge Transfer and Technology Diffusion, chapter 13, Edward Elgar Publishing.
    9. Andersen, Allan Dahl & Markard, Jochen, 2020. "Multi-technology interaction in socio-technical transitions: How recent dynamics in HVDC technology can inform transition theories," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    10. Heidenreich, Martin, 2009. "Innovation patterns and location of European low- and medium-technology industries," Research Policy, Elsevier, vol. 38(3), pages 483-494, April.
    11. Alp Eren Yurtseven & Mehmet Teoman Pamukçu, 2022. "Innovation patterns in firms and intra-industry heterogeneity empirical evidence from Turkey," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 645-679, September.

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