Powering a Just Transition: Aligning Energy Policy and Identfying Stakeholder Roles with Indonesia’s Net-Zero and Sustainable Development Commitments
公正な移行を推進する：インドネシアのネットゼロと持続可能な開発目標に沿ったエネルギー政策の調整とステークホルダーの役割の特定 (AI 翻訳)
Ryan Maulana
🤖 gxceed AI 要約
日本語
インドネシアの2060年までのネットゼロ達成に向けた政策（NDC、RUKN、RUPTL）の一貫性と実施準備をPESTLE分析とステークホルダーマッピングで評価。政策的整合性はあるものの、規制統合や投資の明確さ、省庁間連携に課題があり、クリーンエネルギー開発の加速を妨げる可能性がある。主要アクターの役割を明確にし、政策立案者への実践的提言を提供。
English
This study assesses the coherence and implementation readiness of Indonesia's key energy transition policies (NDC, RUKN, RUPTL) using PESTLE and stakeholder mapping. Despite strategic alignment, gaps in regulatory integration, investment clarity, and inter-agency coordination persist. It highlights critical stakeholder roles and offers recommendations for a more inclusive and coordinated decarbonization strategy aligned with SDGs.
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
インドネシアの事例は、日本のSSBJやエネルギー政策にも示唆を与える。特に、複数政策の整合性評価やステークホルダー調整の枠組みは、日本における地域レベルでの脱炭素計画の策定に応用可能。
In the global GX context
As emerging economies pursue net-zero, Indonesia's policy coherence analysis offers a replicable framework for integrating NDCs, energy plans, and stakeholder roles. The findings on regulatory gaps and coordination challenges are relevant for global just transition discourse, especially for developing countries with state-owned energy utilities.
👥 読者別の含意
🔬研究者:Provides a structured method (PESTLE + stakeholder mapping) to assess policy coherence for energy transition in developing countries.
🏢実務担当者:Offers insights on stakeholder coordination and regulatory gaps that energy companies and investors should consider in Indonesia.
🏛政策担当者:Presents actionable recommendations for improving cross-sectoral integration and investment clarity in national energy transition plans.
📄 Abstract（原文）
Achieving Net Zero Emissions (NZE) by 2060 or earlier represents Indonesia’s long-term climate commitment, supported by several strategic policy instruments, including the Second Nationally Determined Contribution (NDC), the National Electricity General Plan (RUKN), and the Electricity Supply Business Plan (RUPTL). Although these documents operate at different policy levels and planning horizons, they collectively demonstrate consistent alignment in accelerating national decarbonization and establishing a structured energy transition framework. However, the effectiveness of their implementation depends heavily on coordination among diverse stakeholders with varying mandates, interests, and degrees of influence across government, industry, and society. This study aims to assess the coherence and implementation readiness of the NDC, RUKN, and RUPTL using a PESTLE analytical framework combined with stakeholder dynamics mapping to identify institutional, regulatory, technological, economic, and social factors shaping Indonesia’s energy transition pathway toward NZE. The findings reveal that, despite strategic alignment across the three policies, substantial gaps remain in regulatory integration, investment clarity, and inter-agency coordination, which may hinder the acceleration of clean energy development. The analysis further highlights the critical roles of key actors such as PLN(Indonesia State Electricity Corporation), technical ministries, investors, local governments, and communities in operationalizing these policies at both national and subnational levels. By integrating policy coherence assessment with stakeholder analysis, this study provides a comprehensive understanding of strategic opportunities and systemic barriers while underscoring Indonesia’s energy climate architecture contribution to SDG 7, SDG 8, SDG 9, SDG 10, and SDG 13. The results offer practical recommendations for policymakers to strengthen cross-sectoral integration and develop a more inclusive, coordinated, and sustainable decarbonization strategy.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.33322/urg762gffirst seen 2026-07-09 06:08:19
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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。