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A taxonomy of multi-industry labour force skills

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  • Consoli, Davide
  • Rentocchini, Francesco

Abstract

This paper proposes an empirical study of the skill repertoires of 290 sectors in the United States over the period 2002–2011. We use information on employment structures and job content of occupations to flesh out structural characteristics of industry-specific know-how. The exercise of mapping the skills structures embedded in the workforce yields a taxonomy that discloses novel nuances on the organization of industry. In so doing we also take an initial step towards the integration of labour and employment in the area of innovation studies.

Suggested Citation

  • Consoli, Davide & Rentocchini, Francesco, 2015. "A taxonomy of multi-industry labour force skills," Research Policy, Elsevier, vol. 44(5), pages 1116-1132.
    • Handle: RePEc:eee:respol:v:44:y:2015:i:5:p:1116-1132
    DOI: 10.1016/j.respol.2014.12.005
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    7. Gianluca Orsatti & François Perruchas & Davide Consoli & Francesco Quatraro, 2020. "Public Procurement, Local Labor Markets and Green Technological Change. Evidence from US Commuting Zones," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 711-739, April.
    8. Mazzanti, Massimiliano & Rizzo, Ugo, 2017. "Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 111-116.
    9. Jarosław Kaczmarek & Konrad Kolegowicz & Wojciech Szymla, 2022. "Restructuring of the Coal Mining Industry and the Challenges of Energy Transition in Poland (1990–2020)," Energies, MDPI, vol. 15(10), pages 1-48, May.
    10. Andrea Filippetti & Frederick Guy, 2016. "Risk-taking, skill diversity, and the quality of human capital: how insurance affects innovation," Papers in Evolutionary Economic Geography (PEEG) 1625, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2016.
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    12. Pantic-Dragisic, Svjetlana & Söderlund, Jonas, 2020. "Swift transition and knowledge cycling: Key capabilities for successful technical and engineering consulting?," Research Policy, Elsevier, vol. 49(1).
    13. Marco Capasso & Marina Rybalka, 2022. "Innovation Pattern Heterogeneity: Data-Driven Retrieval of Firms’ Approaches to Innovation," Businesses, MDPI, vol. 2(1), pages 1-28, March.
    14. Fabrizio Fusillo & Davide Consoli & Francesco Quatraro, 2022. "Resilience, Skill Endowment, and Diversity: Evidence from US Metropolitan Areas," Economic Geography, Taylor & Francis Journals, vol. 98(2), pages 170-196, March.
    15. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
    16. Barbieri, Nicolò & Consoli, Davide, 2019. "Regional diversification and green employment in US metropolitan areas," Research Policy, Elsevier, vol. 48(3), pages 693-705.
    17. Pollio, Chiara & Landini, Fabio & Prodi, Elena & Arrighetti, Alessandro, 2023. "Does Temporary Employment undermine the Quality of Permanent Jobs?," GLO Discussion Paper Series 1273, Global Labor Organization (GLO).
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    More about this item

    Keywords

    Industry dynamics; Skills; Taxonomy;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L0 - Industrial Organization - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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