Decomposition of CO2 Emission Drivers and Energy Transition Dynamics Across Australian States: A Kaya–Shapley Approach
オーストラリア各州におけるCO2排出要因の分解とエネルギー転換ダイナミクス:Kaya–Shapleyアプローチ (AI 翻訳)
Saeed Solaymani
🤖 gxceed AI 要約
日本語
本研究はKaya恒等式とShapley値分解を用い、2008-2024年のオーストラリアと各州の一人当たりCO2排出の要因を分析。再生可能エネルギーを組み込んだ5因子モデルを導入し、エネルギー転換指数(ETI)を提案。エネルギー効率改善が排出削減の主因である一方、経済成長が排出を押し上げる。州ごとに大きなばらつきがあり、資源集約型州では化石燃料使用の増加が転換効果を打ち消す年もある。
English
This study applies the Kaya identity and Shapley value decomposition to analyze drivers of CO2 emissions per capita in Australia and its states from 2008-2024. A five-factor model incorporating renewable energy dynamics is introduced, along with an Energy Transition Index (ETI). Energy intensity improvements dominate emission reductions, while economic growth offsets gains. Regional variation is significant, with resource-intensive states showing episodic transition effects.
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
日本のGX政策では、エネルギー転換の進捗を定量的に評価する指標が重要。本論文のETIやShapley分解は、都道府県別の排出削減要因分析や、SSBJ開示におけるKPI設定に応用可能。資源依存地域とサービス業中心地域の比較は、地域間格差を考慮した政策立案に示唆を与える。
In the global GX context
This paper contributes to global climate disclosure scholarship by providing a novel decomposition framework that isolates renewable energy transition effects. The Energy Transition Index offers a transparent metric that could complement TCFD/ISSB-aligned disclosures, particularly for companies in resource-intensive sectors. The episodic nature of transition effects highlights the need for robust transition planning.
👥 読者別の含意
🔬研究者:Provides a methodological extension of Kaya decomposition with renewable energy factors and a new transition index.
🏢実務担当者:Offers a framework for tracking energy transition progress and identifying drivers of emission changes, useful for sustainability reporting.
🏛政策担当者:Highlights regional disparities in transition dynamics, informing targeted policies for resource-dependent regions.
📄 Abstract(原文)
This study employs the Kaya identity and Shapley value decomposition to analyse the main drivers of CO2 emissions per capita in Australia and its states/territories from 2008–2009 to 2023–2024. This study extends the traditional three-factor Kaya model to a five-factor framework that explicitly incorporates renewable energy dynamics. Within this environment, we introduce an index for evaluating energy transition in each state over time, captured through the combined effects of renewable energy share and the fossil fuel-to-renewable ratio. The results indicate that energy intensity improvements are the dominant driver of emission reductions, contributing well over 100% of the total decline in most jurisdictions. However, this pattern does not hold universally: in the Northern Territory, energy intensity increased and contributed positively to emissions. In contrast, economic growth continues to exert upward pressure on emissions, partially offsetting these reductions and highlighting the ongoing challenge of decoupling. The Energy Transition Index (ETI) rose more than fivefold nationally (0.0018 to 0.0096), with Tasmania the highest among all states (0.185–0.291) and Western Australia and the Northern Territory the lowest. The Energy Transition Effect (ETE), defined as the natural logarithm of the ETI, follows the same regional pattern, while the Net Energy Transition Contribution (NETC) derived from the Shapley decomposition shows that the transition’s effect on emissions has been episodic rather than linear, turning negative in years when growth in fossil-fuel use outpaced renewable displacement. Marked regional variation is observed, with resource-intensive states such as Western Australia, Queensland, and the Northern Territory exhibiting distinct emissions patterns driven by mining and LNG activities, while more service-oriented states show more stable reductions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19153556first seen 2026-08-16 04:53:01
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