The Climate‐Circularity Nexus: Profiling Employability Skills Leveraging Circular Economy for Climate Change Mitigation and Adaptation in the Agri‐Food Sector
気候と循環の連関：農業・食料部門における気候変動の緩和と適応のための循環経済活用スキルのプロファイリング (AI 翻訳)
Francesco Smaldone, Benedetta Esposito, Daniela Sica, Stefania Supino
🤖 gxceed AI 要約
日本語
本研究は、農業・食料部門において気候変動対策に資する循環経済スキルの需要を、求人広告の大規模テキストマイニングとLLMベースの分類により明らかにした。結果、横断的スキルの重要性、デジタル・緩和志向スキルの成長、適応スキルの可視性不足が示され、教育・政策・企業の人材育成に示唆を与える。
English
This study profiles employability skills needed for the climate-circularity nexus in agri-food using large-scale text mining and LLM-based classification of job ads. Findings highlight the prominence of transversal skills, growing demand for digital and mitigation-oriented profiles, and weaker visibility of adaptation skills, offering insights for workforce development.
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
日本の農業・食料部門でもSSBJやScope3対応が進む中、循環経済と気候変動対策を両立する人材像の明確化は、企業のサステナビリティ報告や人材戦略に有用である。適応スキルの不足は、気候リスク管理の観点から注目すべき点。
In the global GX context
The study maps skill demands at the intersection of circular economy and climate action, relevant to global sustainability transitions and alignment with frameworks like ISSB and CSRD. The gap in adaptation skills signals a need for targeted education and training in climate resilience.
👥 読者別の含意
🔬研究者:Provides a structured methodology for analyzing circular economy and climate skills using AI, and identifies a gap in adaptation skills for further research.
🏢実務担当者:Offers data-driven insights for agri-food firms to align workforce planning with circular and climate strategies, particularly in skill development and hiring.
🏛政策担当者:Highlights the need to integrate circular economy and climate adaptation skills into vocational training and education policy.
📄 Abstract（原文）
ABSTRACT The agri‐food sector occupies a paradoxical position in the climate crisis, being both a major contributor to greenhouse gas emissions and one of the sectors most exposed to climate‐induced disruptions. Addressing this dual challenge requires a transition towards circular production and consumption models capable of reducing resource intensity, supporting decarbonisation and enhancing climate resilience. Yet, the effectiveness of this transition depends not only on technological and organisational innovation, but also on the availability of specific employability skills that enable circular strategies to contribute to climate change mitigation and adaptation. Despite growing scholarly attention to circular economy skills, limited empirical evidence exists on the competence profiles required in the agri‐food sector to operationalise the climate‐circularity nexus. This study addresses this gap by conducting a large‐scale analysis of job advertisements extracted from digital recruitment platforms. Using advanced text mining and large language model‐based classification techniques, skills are identified, classified and grouped according to their functional nature (i.e., hard, soft and transversal) and their thematic orientation (i.e., digital, climate change mitigation, climate change adaptation and agri‐food‐specific skills). The results reveal the prominence of transversal competences, the growing relevance of digital and mitigation‐oriented profiles and the comparatively weaker visibility of adaptation‐related skills. By mapping the emerging architecture of skill demand, the study contributes to the literature on circular economy, employability and climate‐responsive agri‐food transitions, while offering practical insights for education providers, policy‐makers and firms seeking to align workforce development with circular and climate‐resilient transformation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/bse.71161first seen 2026-07-25 05:01:27
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。