Sustaining Green Energy Technology Policies in South Africa: Compounding Structural Factors and the Role of Artificial Intelligence
南アフリカにおけるグリーンエネルギー技術政策の持続可能性:複合的な構造要因と人工知能の役割 (AI 翻訳)
Vilakazi S, Chigova LE, Hofisi C
🤖 gxceed AI 要約
日本語
本稿は、南アフリカのグリーンエネルギー技術政策の持続可能性を阻害する複合要因を分析し、人工知能が政策触媒として果たす可能性を評価する。財政的制約、ガバナンスの断片化、老朽化したインフラが相互に強化し合う「ポリクライシス」を指摘し、制度・インフラの不備が炭素固定化を永続させる仕組みを明らかにする。結論として、技術的解決策だけでなく、システム的なガバナンス変革が必要であると主張する。
English
This article examines the compounding factors undermining green energy technology policies in South Africa, evaluating artificial intelligence as a potential policy catalyst. It identifies fiscal constraints, governance fragmentation, and aging infrastructure as reinforcing each other in a poly-crisis, perpetuating carbon lock-in. The study concludes that systemic governance transformation, not just technical solutions, is required for a sustainable energy transition.
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
本稿は南アフリカを対象とするが、日本でも同様のガバナンス断片化やインフラ老朽化がエネルギー移行の障壁となり得る点で示唆に富む。特に、AI活用による政策調整や制度強化の可能性は、日本のGX政策におけるデジタル活用の参考になるだろう。
In the global GX context
This paper provides an integrated framework for understanding policy implementation gaps in emerging economies, relevant for global climate governance. Its emphasis on AI as a policy catalyst and the poly-crisis perspective resonates with ongoing debates about technology-driven governance in the energy transition.
👥 読者別の含意
🔬研究者:The integrated analytical framework combining poly-crisis perspective and AI as policy catalyst offers a novel lens for studying energy transition in emerging economies.
🏢実務担当者:Corporate sustainability teams can learn from the identified barriers to understand systemic risks in renewable energy projects in developing countries.
🏛政策担当者:Policymakers should note the need for multi-level coordination and infrastructural investment to bridge policy ambition and implementation, and explore AI to enhance governance.
📄 Abstract(原文)
<title>Abstract</title> <p>This article examines the compounding factors that undermine the sustainability of green energy technology policies in South Africa, evaluating the potential of artificial intelligence as a policy catalyst to enhance governance frameworks and accelerate the national energy transition. While existing scholarship highlights the economic rationale for decarbonisation and the technical feasibility of renewable energy pathways, it often treats financial, infrastructural, and institutional challenges in isolation. This study adopts a qualitative, case study policy analysis to provide a more integrated understanding of these dynamics as a mutually reinforcing poly-crisis. Drawing on secondary data from national policy frameworks, institutional reports, and academic literature, the article interrogates the persistent gap between policy ambition and implementation outcomes. It adopts the Rational Choice Theory and Governance Theory. The findings reveal that South Africa’s green energy transition is constrained by three interdependent factors. First, capacity limitations, including fiscal uncertainty, capital-intensive technologies, and inadequate investment incentives, restrict both public and private sector participation. Second, governance fragmentation and weak multi-level coordination generate administrative inertia, policy inconsistency, and limited regulatory coherence, particularly between national directives and local implementation capacity. Third, ageing and inadequate energy infrastructure, especially grid constraints, pose a fundamental barrier to integrating renewable energy at scale. These challenges are further compounded by limited technical expertise within the public sector and socio-political tensions surrounding the Just Energy Transition. This study offers a novel integrated paradigm for understanding how institutional and infrastructure inadequacies work together to perpetuate carbon lock-in in emerging economies. The study then concludes that sustaining green energy policies in South Africa requires more than technical solutions it demands a systemic governance transformation. Strengthening collaborative and multi-level governance, enhancing institutional capacity, and aligning regulatory frameworks with infrastructural investment are critical to overcoming implementation bottlenecks and enabling a resilient, low-carbon energy future.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-9515289/v1first seen 2026-06-04 04:22:10
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