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How many green jobs are there in electricity generation? A replicable quantification method for developing countries under data constraints

Caiado Couto, L; Barbosa Diniz, T; (2021) How many green jobs are there in electricity generation? A replicable quantification method for developing countries under data constraints. Presented at: IOP Publishing Envrionmental Research 2021, Virtual conference. Green open access

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Abstract

Assessing the scale of green jobs and the socioeconomic effects of the energy transition is relevant and timely, while clear, comparable methodologies are still scarce. The discussion around just transitions, and the extent to which renewable energy creates more positive socioeconomic impacts than fossil fuels, increasingly attracts policymakers' and researchers' attention. However, data constraints, particularly in developing economies, expose a relevant gap in providing quantitative evidence for such discussions. This is especially relevant in countries with outstanding potential for renewable deployments, such as the case of Brazil. Existing data usually is considerably aggregated into activities irrespectively of technology or Greenhouse gas emission profile, and general international frameworks for such quantification may prove inadequate. In this paper, we propose a replicable data triangulation approach to disaggregate electricity jobs and wages into renewable and non-renewable electricity generation sources applied to the case of Brazil, using national accounts data, energy generation statistics and electricity-source specific employment coefficients from where data is available. One can use the resulting dataset either purely as the current scale of renewable and non-renewable electricity jobs and income or as the database for further modelling projections, particularly macroeconomic, multisectoral models, namely input-output and computable general equilibrium models.

Type: Conference item (Presentation)
Title: How many green jobs are there in electricity generation? A replicable quantification method for developing countries under data constraints
Event: IOP Publishing Envrionmental Research 2021
Location: Virtual conference
Dates: 15 - 19 November 2021
Open access status: An open access version is available from UCL Discovery
Publisher version: https://ioppublishing.org/er-2021/
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10140468
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