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A Proposed Framework for Business Demography Statistics

In: Measuring Entrepreneurship

Author

Listed:
  • Nadim Ahmad

    (Manager of the OECD’s Structural Business Databases, Statistics Directorate of the OECD)

Abstract

This chapter provides a step in that direction by proposing a framework of business demography indicators that can be applied across all OECD and large non OECD economies. The framework tries to provide a mechanism by which more comparable indicators of business demography can be produced across countries by considering both what is practically achievable and desirable. The framework deliberately sets out to measure business demographics. It does not therefore make proposals concerning other important indicators of entrepreneurship such as the characteristics of entrepreneurs (age, sex, education, previous entrepreneurial experience etc), entrepreneurial and related policies (government policy, bankruptcy regulations, access to finance, fiscal policy—personal and business taxes—business administrative burdens, employment laws, social security safety nets etc) or the characteristics of businesses that may predetermine success, such as research and development expenditure; although this work is being pursued as part of the OECD’s Entrepreneurship Indicators Project (see Davis, 2006). That said, the framework is able to provide information on types of businesses, successful, young, old, sector specific, etc, that can be used to provide the frame for dedicated surveys that attempt to determine what makes businesses succeed or fail.

Suggested Citation

  • Nadim Ahmad, 2008. "A Proposed Framework for Business Demography Statistics," International Studies in Entrepreneurship, in: Emilio Congregado (ed.), Measuring Entrepreneurship, chapter 0, pages 113-174, Springer.
    • Handle: RePEc:spr:inschp:978-0-387-72288-7_7
    DOI: 10.1007/978-0-387-72288-7_7
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    Citations

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    Cited by:

    1. Anna Gloria Billé & Alessio Tomelleri & Francesco Ravazzolo, 2023. "Forecasting regional GDPs: a comparison with spatial dynamic panel data models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(4), pages 530-551, October.
    2. Kaplinsky, Raphael & Kraemer-Mbula, Erika, 2022. "Innovation and uneven development: The challenge for low- and middle-income economies," Research Policy, Elsevier, vol. 51(2).
    3. Giacomo Caterini, 2018. "Classifying Firms with Text Mining," DEM Working Papers 2018/09, Department of Economics and Management.
    4. Elaine Laing & André Stel & David J. Storey, 2022. "Formal and informal entrepreneurship: a cross-country policy perspective," Small Business Economics, Springer, vol. 59(3), pages 807-826, October.
    5. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    6. Fiammetta Rossetti, 2017. "The Business Demography of the ICT Sector in Europe," JRC Research Reports JRC106589, Joint Research Centre.
    7. Müller, Bettina & Niefert, Michaela & Rammer, Christian & Gottschalk, Sandra, 2011. "Unternehmensdynamik in der Wissenswirtschaft in Deutschland 2009: Gründungen und Schließungen von Unternehmen. Unternehmensdynamik in den Bundesländern. Internationaler Vergleich," Studien zum deutschen Innovationssystem 10-2011, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.

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