← 論文一覧に戻る

金属・鉱物実施計画:産業と経済成長の実現

Metals and Minerals Implementation Plan: Enabling Industries and Economic Growth (原題)

World Bank Group

World Bank, Washington, DC eBooksジャーナル2026-10-06#サプライチェーンOrigin: Global経営インパクト: 調達リスク対象セクター: mining
DOI: 10.1596/45728
原典: https://hdl.handle.net/10986/45728

🤖 gxceed AI 要約

日本語

世界銀行グループが新興国・途上国向け金属鉱物戦略を実行するための実施計画。政策・ガバナンスの弱さ、インフラ・人材不足、民間資本動員の制約という三課題に対し、三本柱・八つの解決策を提示する。パリ整合や深海採掘への予防的姿勢を含み、政府主導のカントリー・コンパクトを軸に、資金量を5倍に拡大すれば責任ある部門成長と雇用創出が可能と結論づける。

English

The World Bank Group's implementation plan for its Metals and Minerals Strategy in emerging and developing economies. It addresses weak governance, infrastructure and human capital gaps, and limited private capital through eight solutions under three pillars, including legal reform, E&S standards, shared infrastructure corridors, and de-risking instruments. Anchored in government-led Country Compacts and Paris Alignment, it argues a fivefold financing increase can unlock responsible growth and jobs.

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

EV・蓄電池・再エネに不可欠な鉱物の供給網整備は、日本の資源調達リスクと企業のScope 3・人権デューデリジェンス対応に直結する。調達国でのガバナンス・透明性強化は日本企業のサプライチェーン管理の前提条件となる。

In the global GX context

Directly relevant to global transition-finance and critical-minerals supply-chain disclosure debates, linking MDB de-risking to Paris-aligned industrial policy. It informs how ISSB/CSRD supply-chain and EITI transparency expectations intersect with minerals sourcing.

👥 読者別の含意

🔬研究者:途上国鉱物供給網における開発金融とガバナンス改革の枠組みを分析する一次資料となる。

🏢実務担当者:重要鉱物の調達国リスク評価とサプライチェーン・デューデリジェンス体制の設計に活用できる。

🏛政策担当者:資源国支援・調達外交や批判的鉱物政策の国際協調の論点整理に有用。

📄 Abstract(原文)

This Implementation Plan sets out how the World Bank Group will deliver its Metals and Minerals Strategy for emerging markets and developing economies by addressing three interrelated challenges—weak policies and governance, inadequate foundational infrastructure and human capital, and limited private capital mobilization—through eight scalable solutions organized under three pillars. The Plan operationalizes sector diagnostics and value chain roadmaps, modernizes legal, regulatory, fiscal, and institutional frameworks including licensing and cadaster systems, strengthens environmental and social standards, artisanal and small-scale mining formalization, mine closure and repurposing, occupational health and safety, revenue management and benefit sharing, and transparency aligned with the Extractive Industries Transparency Initiative. It promotes shared, multi-user infrastructure corridors and metals processing hubs, demand-led skills and supplier development programs, and early-stage and de-risking instruments across IBRD, IDA, IFC, and MIGA to build bankable projects and crowd in long-term private investment, with Paris Alignment under the Climate Change Action Plan and a precautionary approach to deep-sea mining. Implementation will be anchored in government-led Country Compacts in priority countries, supported by multilateral development bank collaboration and trust-funded platforms including the Extractives Global Programmatic Support, Climate Smart Mining, and the Resilient and Inclusive Supply-chain Enhancement Partnership. The Plan concludes that a fivefold increase in financing volumes, coupled with stronger governance, integrated infrastructure, and market-enabling mechanisms, can unlock responsible sector growth, catalyze private capital, and generate more and better-paid jobs across the mineral value chain. Policy changes emphasized include comprehensive reforms to fiscal regimes, E&S monitoring and enforcement, geodata and digital one-stop permitting, benefit-sharing frameworks, PPP-ready infrastructure regulations, local content policies, water governance in water-scarce regions, and results-based mechanisms to track private capital mobilization, jobs, fiscal revenues, and community investments.

🔗 Provenance — このレコードを発見したソース

🔔 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。