An analytical framework to assess green transition jobs in South Africa
南アフリカにおけるグリーン移行雇用を評価する分析フレームワーク (AI 翻訳)
Katherine Davidson, Joanna Grotte, Arindam Jana, Ariane De Lannoy, Anda David, Murray Leibbrandt
🤖 gxceed AI 要約
日本語
本論文は、南アフリカのグリーン移行が労働力に与える影響を評価するための「グリーン移行フレームワーク」を提案する。ボトムアップ(グリーン職業)とトップダウン(褐色産業)のアプローチを組み合わせ、労働者の位置づけをマトリックスで可視化。予備的分析では、汚染産業の労働者が移行可能なスキルを持つことや、男性の方がグリーン職に移行しやすい可能性が示唆された。政策立案への活用が期待される。
English
This paper proposes a Green Transition Framework to assess the impact of the green transition on South Africa's labor force. It combines bottom-up identification of green occupations with top-down identification of brown industries, creating a matrix to map workers' positions. Preliminary applications suggest workers in polluting industries may have transferable skills, and men may find it easier to transition to green jobs. The framework is flexible and globally applicable.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
南アフリカの事例だが、日本でも石炭依存地域の雇用転換や「公正な移行」政策の参考になる。SSBJや有報での人的資本開示とも関連し、グリーン雇用の評価手法として示唆に富む。
In the global GX context
While focused on South Africa, this framework offers a transferable methodology for assessing green transition labor impacts globally. It contributes to the just transition discourse, relevant for TCFD/ISSB social disclosures and transition planning.
👥 読者別の含意
🔬研究者:Provides a replicable methodology for analyzing green transition labor impacts, combining occupation and industry data.
🏢実務担当者:Useful for corporate sustainability teams to assess workforce transition risks and identify skill transferability.
🏛政策担当者:Offers a tool for designing targeted just transition policies, especially for coal-dependent regions.
📄 Abstract(原文)
Climate change and the resultant catastrophic weather events across the globe underpin the need for a shift away from carbon-intensive modes of production. In South Africa, where electricity generation is heavily reliant on coal, this imperative is recognised, and various policies aim to support the implementation of a Just Energy Transition. The transition to a greener economy can have various impacts on the labour force, with a significant concern being an increase in unemployment. In this paper, a Green Transition Framework is proposed for profiling workers who are likely to be impacted by the energy transition, based on what work they do and in which industry they work. By combining a bottom-up approach that identifies green transition related occupations, with a top-down approach that identifies ‘brown’ industries, a matrix is developed that allows us to examine where on the nexus between ‘green transition occupations’, and brown industries, workers find themselves. Using South African labour force data, these dimensions are plotted to provide a picture of the type of worker who may be at risk of, or alternatively, may be better placed to withstand the potential effects of the green transition. This can ultimately assist in developing effective policies and interventions to mitigate the risks of the green transition. Key features of the Framework are its flexibility with respect to the definition of ‘green’ occupations and ‘brown’ industries; the integration of bottom-up and top-down methodologies; as well as the data utilised. Such a Framework can be broadly applied in global contexts other than South Africa. The Green Transition Framework integrates industry and occupation information, both of which need to be considered in the creation of targeted policies and intervention strategies concerning the green transition and the labour market. The bottom-up and top-down approaches that are introduced allow for nuanced analysis of green jobs in South Africa, which is essential for evidence-based policy. The Framework can be tailored to specific research contexts, and is flexible in the methodologies for estimating green employment and brown industries, making it a globally applicable analytical tool. Two preliminary applications of the framework suggest that workers in polluting industries may have transferable skills for the green economy and that men may find it easier to transition to green jobs. Such findings can assist in more nuanced policy development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.6084/m9.figshare.31985641first seen 2026-05-05 19:12:50
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