Social Entrepreneurship as an Approach to Green Transition in BRICS+ Countries: a comprehensive literature review
BRICS+諸国におけるグリーン・トランジションへのアプローチとしてのソーシャル・アントレプレナーシップ：包括的文献レビュー (AI 翻訳)
Samuel Bangura, Anos Chitamba Chitamba, Princess Thulile Duma
🤖 gxceed AI 要約
日本語
本レビューは、BRICS+諸国（中国、インド、ブラジル、南アフリカ、エジプト）における社会起業（SE）がグリーン・トランジションに果たす役割を総合的に分析する。Ant ForestやSELCOなどの事例から、SEが年間約3メガトンのCO2削減、200万世帯の電化、2.5メガトンの廃棄物転換、12億ドルの所得創出に貢献していることを示す。課題としてスケールアップとデジタル格差を挙げ、協同組合の正式化や成果連動型資金調達、オープンソースのMRVシステムを提言する。
English
This comprehensive review synthesizes evidence from BRICS+ countries on how social entrepreneurship (SE) drives green transition. Using cases like Ant Forest (China) and SELCO (India), it quantifies SE impacts: ~3 MtCO₂ reduction annually, electrification of 2 million households, 2.5 Mt waste diversion, and $1.2 billion income generation. It recommends formalizing waste cooperatives, results-based financing, and open-source MRV systems to scale SE in NDCs.
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
日本ではトップダウンのGX政策が中心だが、本論文はコミュニティ主導のSEモデルがグリーン移行に果たす役割を示す。日本の地域エネルギーや廃棄物削減の取り組みに応用可能な知見を含み、特にオープンMRVシステムの提案は日本の開示インフラ整備にも示唆を与える。
In the global GX context
This paper positions social entrepreneurship as a critical yet overlooked component of green transition in the Global South, offering scalable pathways for NDCs. Its findings on MRV systems and results-based financing are relevant for global disclosure frameworks (e.g., TCFD, ISSB) aiming to integrate non-corporate actors into transition planning.
👥 読者別の含意
🔬研究者:Provides a consolidated evidence base on SE impacts and models, useful for comparative green transition research across emerging economies.
🏢実務担当者:Offers concrete examples of community-led green initiatives (e.g., Ant Forest, SELCO) and recommendations for scaling similar projects through cooperatives and digital platforms.
🏛政策担当者:Highlights the potential of SE in NDCs and suggests policy levers like results-based financing and open-source MRV to enhance transparency and inclusion.
📄 Abstract（原文）
Emerging economies within the BRICS+ group face concurrent challenges related to environmental degradation and social inequality, requiring innovative approaches to sustainable development. Social entrepreneurship (SE) has become an essential mechanism that links macro-level strategies such as renewable energy adoption, green finance, and institutional reform with community-led, environmentally conscious initiatives. This comprehensive review consolidates empirical evidence from China, India, Brazil, South Africa, and Egypt, highlighting various SE models that support the transition to environmentally sustainable practices. Examples include digital engagement platforms like Ant Forest in China, decentralised solar energy solutions with integrated financing by SELCO in India, cooperative circular economy projects in Brazil and South Africa, and regenerative hybrid governance by SEKEM in Egypt. The findings suggest that SE initiatives contribute to significant environmental and social impacts, including the reduction of approximately 3 megatonnes of CO₂ annually, electrification of 2 million households, diversion of 2.5 megatonnes of waste, and the creation of $1.2 billion in income, with social benefits exceeding those of traditional green technologies. Despite these successes, challenges remain in scaling interventions, addressing digital divides, and promoting inclusive participation. Recommendations include formalising waste cooperatives, implementing results-based financing models, adopting open-source measurement, reporting, and verification (MRV) systems, and fostering knowledge exchange within the BRICS nations. This review positions social entrepreneurship as a vital but often overlooked element in Nationally Determined Contributions (NDCs), providing scalable and inclusive pathways toward sustainable and equitable green development in the Global South.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.59857/d4v8vp33first seen 2026-05-14 21:43:45
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。