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The Role of Mineral Resource Usage, Energy Tariffs, Fintech, Green Bonds, Carbon Policy in Adopting Net-Zero Supply Chain in Energy System

鉱物資源利用、エネルギー料金、フィンテック、グリーンボンド、炭素政策がエネルギーシステムにおけるネットゼロサプライチェーン導入に果たす役割 (AI 翻訳)

Rengaowa Wu, Talla M. Aldeehani, Abdurrahman Adamu Pantamee, Kim Mee Chong, Jamshid Pardaev

Engineering Economics📚 査読済 / ジャーナル2026-04-30#再生可能エネルギーOrigin: CN
DOI: 10.5755/j01.ee.37.2.43055
原典: https://doi.org/10.5755/j01.ee.37.2.43055

🤖 gxceed AI 要約

日本語

中国の再生可能エネルギー消費に影響を与える要因を2000~2023年のデータで動的ARDLモデルにより分析。炭素政策、グリーンボンド、エネルギー料金は長期的に有意な正の影響を示すが、フィンテックと天然資源レントは有意でなかった。政策含意として、グリーンボンド市場の強化、炭素政策枠組みの改善、エネルギー料金構造の最適化等を提言。

English

This study examines drivers of renewable energy consumption in China (2000-2023) using Dynamic ARDL. Carbon policy, green bonds, and energy tariffs have significant positive long-run effects; fintech and natural resource rents are insignificant. Policy implications include strengthening green bond markets and carbon policy frameworks.

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

中国の分析だが、日本のGX政策(グリーンボンド、炭素価格付け)への示唆に富む。特にエネルギー料金とグリーンボンドの有効性は日本のエネルギー政策に参考となる。

In the global GX context

Provides empirical evidence on policy drivers for renewable energy, relevant to global GX discussions on carbon pricing and green finance. China-specific results offer insights for other economies designing similar policies.

👥 読者別の含意

🔬研究者:Empirical evidence on the effectiveness of carbon policy and green bonds for renewable energy, with implications for econometric modeling.

🏢実務担当者:Insights on which policy levers (carbon pricing, green bonds) are most impactful for corporate renewable energy adoption.

🏛政策担当者:Findings support strengthening green bond markets and carbon policy frameworks to accelerate renewable energy transition.

📄 Abstract(原文)

With response towards the global responsibility in addressing the climate change, China has implemented a wider range of policy measures that aimed at limiting the emissions of growth and promotion of renewable energy consumption. These measures include the regulation of energy parameters, with increased funding for research and development, the digitalisation of financial services, and expansion of environmental taxation and energy efficiency policies. In this context, current study determines the impact of carbon policy, natural resource rents, financial technology (fintech), energy tariffs and green bonds on renewable energy consumption in China for the period of 2000-2023. With the use of Dynamic Auto-regressive Distributed Lag (Dynamic ARDL) approach, the outcomes indicate that carbon policy, green bonds, and energy tariffs exerts a significant and positive effect on renewable consumption of energy in long-run, where as fintech development and natural resource rents do not show statistically significant impact on renewable energy consumption, however carbon-policy, energy tariffs, natural resource rents and green bonds do not show significant effects. These outcomes offer significant policy implications for China, suggesting that strengthening green bond markets, enhancement of carbon policy frameworks, optimisation of energy tariff structures, and supporting fintech development could play a crucial role in promoting the renewable energy consumption.

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