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A service sector classification scheme using economic data

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  • Alex Hugh David

Abstract

Using economic data, this paper recreates a previously published service industry classification scheme that was derived using discursive data from interviews with industry experts. It triangulates the earlier results using a different methodology, and extends earlier classification schemes in a comprehensive, objective way. A principal component analysis of six sector parameter sets from a regression analysis of a productivity data set covering 14 countries produces three sector factors, the 'capital type', the 'innovation type' and the 'quality type', which form the basis of the classification scheme. A high degree of conformity is found between this and the previously published discursive-based scheme.

Suggested Citation

  • Alex Hugh David, 2014. "A service sector classification scheme using economic data," The Service Industries Journal, Taylor & Francis Journals, vol. 34(4), pages 335-353, February.
    • Handle: RePEc:taf:servic:v:34:y:2014:i:4:p:335-353
    DOI: 10.1080/02642069.2013.778974
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    References listed on IDEAS

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    1. Marcel P. Timmer & Mary O’Mahony & Bart van Ark, 2007. "EU KLEMS Growth and Productivity Accounts: An Overview," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 71-85, Spring.
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    Cited by:

    1. Sidong Zhao & Kaixu Zhao & Yiran Yan & Kai Zhu & Chiming Guan, 2021. "Spatio-Temporal Evolution Characteristics and Influencing Factors of Urban Service-Industry Land in China," Land, MDPI, vol. 11(1), pages 1-32, December.
    2. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.

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