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サブサハラ・アフリカにおける気候スマート農業移行の政策・制度的ドライバー:ガバナンス・規制・制度的支援のレビューと南アフリカへの示唆

Policy and institutional drivers of climate-smart agriculture transition in Sub-Saharan Africa: a review of governance, regulation, and institutional support with implications for South Africa (原題)

Adetomiwa Kolapo, Melusi Sibanda, Nolwazi Zanele Khumalo

Frontiers in Climate📚 査読済 / ジャーナル2026-10-08#政策対象セクター: agriculture
DOI: 10.3389/fclim.2026.1891365
原典: https://doi.org/10.3389/fclim.2026.1891365
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🤖 gxceed AI 要約

日本語

サブサハラ・アフリカの気候スマート農業(CSA)移行を、ガバナンス・規制・制度的支援の観点からPRISMA-ScR手法で21件の研究をレビューした。政策の一貫性、制度的調整、普及サービス、気候ファイナンス、土地ガバナンス、包括的パートナーシップが移行の鍵となる一方、制度の分断、政策統合の弱さ、資金不足、不安定な土地所有が主要な障壁であることを示す。政策の一貫性強化と地方分権的ガバナンス、気候ファイナンスの拡充を提言する。

English

A PRISMA-ScR scoping review of 21 studies on policy and institutional drivers of climate-smart agriculture (CSA) transition in Sub-Saharan Africa. Coherent policy, institutional coordination, extension services, climate finance, land governance and multi-stakeholder partnerships drive transition, while fragmentation, weak policy integration, inadequate financing and insecure tenure are key barriers. Recommends stronger policy coherence, decentralized governance and climate finance mechanisms.

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

日本企業の農業・食品サプライチェーンや海外事業における気候レジリエンス対応の参考になるが、日本のSSBJ・有報開示との直接接点は乏しい。

In the global GX context

Adds governance and institutional lens to CSA literature relevant to adaptation finance and just transition debates, though it sits outside the TCFD/ISSB disclosure core; useful for development finance and adaptation-focused transition planning.

👥 読者別の含意

🔬研究者:CSA研究において技術偏重を補う制度・ガバナンス要因の体系的整理として参照できる。

🏢実務担当者:アフリカ農業サプライチェーンに関わる企業が適応・レジリエンス投資の制度リスクを把握する材料になる。

🏛政策担当者:SSA諸国の農業気候政策における政策一貫性と地方分権ガバナンス強化の根拠として活用できる。

📄 Abstract(原文)

Climate change continues to intensify agricultural vulnerability in Sub-Saharan Africa (SSA), threatening food security, rural livelihoods, and sustainable agrifood systems through increasing droughts, floods, land degradation, and erratic rainfall patterns. Although Climate-Smart Agriculture (CSA) has emerged as a strategic approach for improving agricultural productivity, resilience, and environmental sustainability, its implementation across SSA remains uneven and constrained by weak governance systems, fragmented policies, inadequate institutional support, and limited stakeholder coordination. Existing studies have largely focused on technological and agronomic dimensions of CSA, with insufficient attention given to the governance and institutional factors influencing CSA transition. This study, therefore, conducted a scoping review to examine the policy and institutional drivers of CSA transition in SSA, with emphasis on governance systems, regulatory frameworks, and institutional support mechanisms. The study adopted the PRISMA-ScR scoping review framework and systematically reviewed 21 eligible studies obtained from major academic databases and institutional repositories published between 2010 and 2026. Thematic content analysis was employed to synthesize evidence on governance systems, institutional arrangements, policy coherence, climate finance, extension services, and stakeholder partnerships influencing CSA implementation. The findings revealed that effective CSA transition depends significantly on coherent policies, institutional coordination, extension systems, climate financing, land governance, and inclusive multi-stakeholder partnerships. However, institutional fragmentation, weak policy integration, inadequate financing, poor extension services, and insecure land tenure systems remain major barriers constraining CSA adoption in SSA. The study recommends strengthening policy coherence, institutional capacity, decentralized governance systems, climate financing mechanisms, and participatory governance approaches to enhance climate-resilient agricultural transformation across Sub-Saharan Africa.

🔗 Provenance — このレコードを発見したソース

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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。