グローバルサウスの畜産転換に向けた気候金融の動員
Mobilizing climate finance for livestock transformation in the Global South (原題)
Fernando Flórez
🤖 gxceed AI 要約
日本語
世界の畜産は10億人以上の生計を支える一方、農業由来GHGの約5分の1(主にメタン)を排出する。需要が2050年までに倍増する見通しの中、生産性・レジリエンス向上と大幅削減の両立が求められる。CGIAR等の知見では持続的集約化により排出原単位を最大半減しつつ収量と所得を高められるが、金融メカニズムと制度能力が不足している。NDCへの畜産統合、信頼性あるMRV、ブレンド金融の三点を軸に、低炭素で気候強靭な成長への転換を訴える。
English
Livestock sustains over a billion people but emits roughly a fifth of agricultural GHGs, mainly methane, with demand set to double by 2050. CGIAR evidence shows sustainable intensification can halve emission intensity while raising yields and incomes, yet finance and institutional capacity lag. The paper argues for integrating livestock into NDCs and investment plans, building credible MRV, and deploying blended and results-based finance to make projects bankable and scalable in the Global South.
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
日本企業には直接の畜産事業接続は限定的だが、Scope 3(食品・飼料・食肉調達)や途上国サプライチェーン排出削減、ブレンド金融・MRV整備の議論はSSBJ開示や投資家対応の参考になる。
In the global GX context
Speaks to the global climate-finance architecture — blended finance, results-based payments, and MRV credibility — that underpins ISSB/TCFD-aligned transition planning and the emerging agricultural methane agenda. Adds a Global South perspective on making mitigation investable.
👥 読者別の含意
🔬研究者:途上国畜産の排出原単位削減と気候金融・MRV設計を結びつける研究課題の枠組みとして有用。
🏢実務担当者:食品・飼料・食肉を調達する企業はScope 3排出と途上国サプライチェーン投資のリスク・機会把握に活用できる。
🏛政策担当者:途上国政府・ドナーはNDCへの畜産統合、MRV整備、ブレンド金融によるバンカブル案件形成の設計指針として参照できる。
📄 Abstract(原文)
Livestock systems sustain more than one billion people worldwide, most of them in low- and middle-income countries, making the sector central to food security, nutrition, and rural livelihoods across the Global South. At the same time, livestock accounts for roughly one fifth of agricultural greenhouse gas emissions, primarily methane. With global demand for animal sourced foods projected to double by 2050, countries face a dual imperative to raise productivity and resilience while substantially reducing emissions. Climate finance provides a practical pathway to address this challenge. By mobilizing public, blended, and private capital, governments can reduce the risk of investments in improved forages, enhanced grazing management, and low emission feed and manure systems. Such investments can simultaneously increase productivity, strengthen adaptive capacity, and generate measurable mitigation outcomes. Evidence from CGIAR and partners shows that sustainable intensification can reduce emission intensity by up to half while increasing yields and farm incomes. Proven technologies are already available, but financial mechanisms and institutional capacity to scale them remain insufficient. Transforming livestock systems therefore requires: A. Policy alignment, integrating livestock into national climate strategies, Nationally Determined Contributions, and investment plans. B. Robust monitoring, reporting, and verification (MRV) systems that produce credible and transparent data to confirm results and attract investment. C. Blended finance instruments that strategically combine concessional, private, and results-based funding to mobilize capital at scale. For African member states, the key policy task is to integrate livestock into national climate and investment frameworks, build credible MRV systems, and develop bankable livestock programs that can access concessional, blended, and results-based finance. Donors and research institutions play a complementary role by providing the data, standards, and tools that make livestock projects auditable, investable, and scalable. When governance, data, and finance converge, livestock can shift from being perceived mainly as a source of emissions to becoming a driver of low carbon, climate resilient growth and a strategic development opportunity for the Global South.
🔗 Provenance — このレコードを発見したソース
- openalex https://hdl.handle.net/20.500.11766/70890first seen 2026-10-24 04:39:36 · last seen 2026-11-01 04:34:00
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