Mechanism and Optimization Path of Digital Technology for the Energy Transition in the Yellow River Basin Under Carbon Peaking
カーボンピーキング下における黄河デルタのエネルギー転換のためのデジタル技術のメカニズムと最適化経路 (AI 翻訳)
Ma Li, Y Yiannian He
🤖 gxceed AI 要約
日本語
黄河デルタ99都市の2013-2024年データを用い、デジタル技術が再生可能エネルギー技術革新と人的資本投資を通じてエネルギー転換を促進するメカニズムを検証。Kaya恒等式で複数シナリオ下でのカーボンピーキング時期を予測。
English
Using data from 99 prefecture-level cities in the Yellow River Basin from 2013-2024, this study empirically examines how digital technology facilitates energy transition by enhancing renewable energy technology innovation and human capital investment. It also predicts carbon peaking timelines under different scenarios using the Kaya identity.
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
中国の黄河デルタはエネルギー基地であり、日本の地域エネルギー政策（例：北海道・九州）との比較に示唆を与える。ただし、日本固有の政策文脈（SSBJなど）への直接の関連性は弱い。
In the global GX context
This paper provides a regional empirical study on digital technology's role in energy transition and carbon peaking, relevant for global energy transition scholarship and China's dual carbon goals.
👥 読者別の含意
🔬研究者:Empirical evidence on digital technology's mechanisms in energy transition and carbon peak prediction using Kaya identity.
🏛政策担当者:Insights for regional carbon peaking scheduling and digital technology deployment in energy transition.
📄 Abstract（原文）
As a key energy base in China, the Yellow River Basin sees its energy transition and carbon peaking status closely linked to the timeline for achieving the dual carbon goals. Yet the energy transition across the Yellow River Basin remains arduous, and staged breakthroughs in carbon peaking are hard to achieve. Against this backdrop, digital technology offers new approaches to addressing this challenge. This study empirically investigates 99 cities at or above the prefectural level across the Yellow River Basin during 2013–2024. It analyzes the mechanisms of digital technology in the energy transition and applies the Kaya identity to predict carbon peaking times for these cities under different scenarios. The findings show that digital technology facilitates the energy transition across the Yellow River Basin by strengthening innovation in renewable energy technologies and investment in human capital. Moreover, carbon peaking pressure plays a positive moderating role in digital technology’s influence on the energy transition across the Yellow River Basin. Notably, digital technology boosts the energy transition across the Yellow River Basin more significantly in downstream areas and non-resource-based and non-traditional industrial base cities. Meanwhile, while digital technology can significantly promote local energy transition, it also produces negative spatial spillover effects. Finally, compared to the baseline scenario, cities across the Yellow River Basin reach carbon peaking earlier under the accelerated energy transition scenario.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136554first seen 2026-07-01 05:17:53 · last seen 2026-07-01 05:18:02
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。