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Analysing the influence of trade, technology learning and policy on the employment prospects of wind and solar energy deployment: The EU case

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  • Ortega, Margarita
  • Río, Pablo del
  • Ruiz, Pablo
  • Nijs, Wouter
  • Politis, Savvas

Abstract

Job creation is arguably an important socioeconomic benefit of renewable energy deployment. In turn, this employment creation may be contingent upon the influence of some key factors, including technology learning, trade effects and policies and may affect different renewable energy technologies and activities of the renewable energy value chain in different ways. This paper estimates the gross employment stemming from the deployment of three renewable electricity technologies – photovoltaics (PV), wind on-shore and wind off-shore – up to 2050 for all Member States of the European Union. It uses a novel analytical methodology which is able to capture the influence of technology learning and internal and external trade. Additionally, it provides highly disaggregated results per activity in the supply chain (manufacturing, installation and O&M), year and country for different technology and policy scenarios. The results show that the employment created by those three technologies can be significant but considerable differences across technologies, activities and countries can be observed. In the analyzed period (2014–2050), most employment will be created in the PV sector, in the operation and maintenance activities and it will be highly geographically concentrated in a few countries. However, job creation will strongly depend on the scenarios and assumptions being made. In particular our findings suggest that the availability of carbon capture and storage will have a considerable influence on the number of jobs being created. In contrast, changes in other assumptions have limited effects on the results: a variable (vs. a constant) learning rate, more restrictive emissions targets by 2050 and higher PV costs.

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  • Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Nijs, Wouter & Politis, Savvas, 2020. "Analysing the influence of trade, technology learning and policy on the employment prospects of wind and solar energy deployment: The EU case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
  • Handle: RePEc:eee:rensus:v:122:y:2020:i:c:s1364032119308639
    DOI: 10.1016/j.rser.2019.109657
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    Cited by:

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    5. Juan Li & Keyin Liu & Zixin Yang & Yi Qu, 2023. "Evolution and Impacting Factors of Global Renewable Energy Products Trade Network: An Empirical Investigation Based on ERGM Model," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    6. Frapin, Marie & Roux, Charlotte & Assoumou, Edi & Peuportier, Bruno, 2022. "Modelling long-term and short-term temporal variation and uncertainty of electricity production in the life cycle assessment of buildings," Applied Energy, Elsevier, vol. 307(C).
    7. Saboori, Behnaz & Gholipour, Hassan F. & Rasoulinezhad, Ehsan & Ranjbar, Omid, 2022. "Renewable energy sources and unemployment rate: Evidence from the US states," Energy Policy, Elsevier, vol. 168(C).
    8. Dominika Čeryová & Tatiana Bullová & Natália Turčeková & Izabela Adamičková & Danka Moravčíková & Peter Bielik, 2020. "Assessment of the Renewable Energy Sector Performance Using Selected Indicators in European Union Countries," Resources, MDPI, vol. 9(9), pages 1-15, August.
    9. Daniarta, S. & Sowa, D. & Błasiak, P. & Imre, A.R. & Kolasiński, P., 2024. "Techno-economic survey of enhancing Power-to-Methane efficiency via waste heat recovery from electrolysis and biomethanation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 194(C).

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