南アフリカのスマートグリッド移行におけるエネルギー政策と収益成果の関連：実証的評価
The nexus between energy policy and revenue outcomes in South Africa's smart-grid transition: an empirical assessment (原題)
Oladimeji Joseph Ayamolowo, K. Kusakana
🤖 gxceed AI 要約
日本語
南アフリカのスマートグリッド移行を3フェーズに分け、エネルギー政策・電力料金とEskom収益の関係を回帰分析で検証。料金は約15倍、収益は約14.5倍に増加し、スマートメータや料金改革と収益改善が併存したが因果は特定できないと結論。費用反映型・時間帯別料金と検針・徴収改善の重要性を示す。
English
This study examines how energy policy, smart-grid development, and electricity pricing relate to Eskom's revenue across three transition phases (2000–2024). Tariffs rose ~15-fold versus a ~14.5-fold revenue increase; regression models were significant in early phases. Revenue gains coincided with smart metering and tariff reform, though causality is not established. Cost-reflective time-of-use tariffs and better collection are emphasized.
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
新興国ユーティリティの料金改革・収益確保の実例として、日本の電力システム改革や容量市場・託送料金制度を考える際の比較材料になる。ただしSSBJや有報開示との直接の接点は薄い。
In the global GX context
Adds empirical evidence from an emerging-market utility on how tariff reform and smart metering interact with revenue—relevant to global debates on cost-reflective pricing and utility business models in the energy transition, though not tied to TCFD/ISSB disclosure frameworks.
👥 読者別の含意
🔬研究者:新興国ユーティリティにおける料金・収益とスマートグリッド政策の実証的関連を段階別に示す事例として参考になる。
🏢実務担当者:料金改革やスマートメータ導入が収益・回収に与える影響を、電力事業の事業計画検討に活用できる。
🏛政策担当者:費用反映型料金や時間帯別料金、検針・徴収改善を政策設計に組み込む根拠として参照できる。
📄 Abstract（原文）
South Africa’s transition toward smart-grid electricity systems is reshaping tariff structures, metering practices, grid management, and utility revenue generation, yet limited empirical evidence links energy-policy interventions with revenue outcomes across distinct stages of this transition. This study addresses this gap by examining the relationship between energy policy, smart-grid development, electricity pricing, and Eskom’s revenue performance across three phases: Pre-Smart Grid (2000–2007), Transition (2008–2020), and Smart Grid Integration (2021–2024). Annual Eskom electricity data for 2000–2024, covering electricity prices, energy demand, energy generation, peak demand, and revenue, were analysed using phase-based regression models, complemented by an assessment of tariff structures, incentives, subsidies, and regulatory support. The results show substantial revenue growth across all phases: Eskom revenue increased by 67.11% in the Pre-Smart Grid phase, 372.57% during the Transition phase, and 68.27% during the Smart Grid Integration phase, while electricity tariffs increased by 42.85%, 336%, and 65.08%, respectively. Overall, tariffs increased approximately 15-fold compared with a 14.5-fold increase in revenue. The regression models were statistically significant overall for the Pre-Smart Grid (R² = 93.57%, p = 0.008) and Transition (R² = 75.53%, p = 0.004) phases, whereas insufficient observations prevented reliable inference for the Smart Grid Integration phase. The findings indicate that improved revenue performance occurred alongside smart metering, digital billing, tariff reforms, and broader sector interventions, but do not establish that smart-grid deployment independently caused revenue growth. The study concludes that cost-reflective and time-of-use tariffs, advanced metering, improved collection systems, and targeted policy and financial support are important for strengthening revenue outcomes during South Africa’s smart-grid transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.sciaf.2026.e03731first seen 2026-11-05 04:51:24 · last seen 2026-11-06 04:34:24
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