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The characteristics of energy employment in a system-wide context

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  • Allan, Grant J.
  • Ross, Andrew G.

Abstract

Changes in energy supply in the coming decades will have major economic implications. To understand the possible employment consequences of this transition, many previous studies have considered the level and types of employment in existing energy technologies; these have, however, neglected impacts on skills and occupations. Using the hypothetical extraction approach, we explore these characteristics for employment both in – and supported by – energy activities in the UK. We show that the impact on occupation and skills across the whole economy is more evenly spread than the employment in individual sectors. From the empirical results presented here, it is clear that the system-wide demands for employment can change the pattern of labour market needs, and that this has implications for labour market planning in the low carbon transition.

Suggested Citation

  • Allan, Grant J. & Ross, Andrew G., 2019. "The characteristics of energy employment in a system-wide context," Energy Economics, Elsevier, vol. 81(C), pages 238-258.
  • Handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:238-258
    DOI: 10.1016/j.eneco.2019.03.017
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    Cited by:

    1. Černý, Martin & Bruckner, Martin & Weinzettel, Jan & Wiebe, Kirsten & Kimmich, Christian & Kerschner, Christian & Hubacek, Klaus, 2024. "Global employment and skill level requirements for ‘Post-Carbon Europe’," Ecological Economics, Elsevier, vol. 216(C).
    2. Chen, Zhenni & Liu, Xi & Li, Jianglong, 2022. "Identifying channels of environmental impacts of transport sector through sectoral linkage analysis," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Grant Allan & Kevin Connolly & Peter McGregor & Andrew G Ross, 2019. "Economic activity supported by offshore wind: a hypothetical extraction study," Working Papers 1911, University of Strathclyde Business School, Department of Economics.
    4. Grant Allan & Christos Barkoumas & Andrew Ross & Ashank Sinha, 2020. "Success in sectoral export promotion and economic and environmental indicators: a multisectoral modelling analysis for the UK," Working Papers 2008, University of Strathclyde Business School, Department of Economics.
    5. Arvanitopoulos, T. & Agnolucci, P., 2020. "The long-term effect of renewable electricity on employment in the United Kingdom," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    6. Gabriela Shirkey & Megan Belongeay & Susie Wu & Xiaoguang Ma & Hassan Tavakol & Annick Anctil & Sandra Marquette-Pyatt & Rodney A. Stewart & Parikith Sinha & Richard Corkish & Jiquan Chen & Ilke Celik, 2021. "An Environmental and Societal Analysis of the US Electrical Energy Industry Based on the Water–Energy Nexus," Energies, MDPI, vol. 14(9), pages 1-20, May.

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    More about this item

    Keywords

    Skills; Energy; Low carbon transition; Occupations;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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