Does the Digital Economy Promote Urban Energy Transition? Evidence from China
デジタル経済は都市のエネルギー転換を促進するか？中国からのエビデンス (AI 翻訳)
Yushang Hu, Ying Liu, Zanxin Wang
🤖 gxceed AI 要約
日本語
本稿は2011～2021年の中国266都市パネルデータを用い、デジタル経済（DE）が都市エネルギー転換（UET）に与える影響を固定効果・媒介・調整・空間ダービンモデルで分析。DEの1単位上昇がUETを0.1566単位押し上げ、資源配分の改善と産業構造高度化が媒介することを確認。電力強度が高い都市ほど効果が顕著で、近隣都市への波及効果も存在。
English
Using panel data from 266 Chinese cities (2011–2021), this study applies fixed-effects, mediation, moderation, and spatial Durbin models to examine the digital economy's (DE) impact on urban energy transition (UET). A one-unit increase in DE is associated with a 0.1566-unit increase in UET, partially mediated by reduced resource misallocation and industrial upgrading. The effect is stronger in cities with higher electricity intensity and exhibits positive spillover to neighboring cities.
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
中国のデジタル経済とエネルギー転換の関連を実証した研究。日本においても、デジタル技術を活用した省エネ・再エネ導入促進策の参考となり得るが、都市レベルデータの制約や中国固有の政策文脈に注意が必要。
In the global GX context
This paper provides empirical evidence on how the digital economy can drive urban energy transition, relevant for global cities pursuing digitalization and decarbonization. The findings on spillover effects and the moderating role of electricity intensity offer insights for integrated urban energy policies worldwide.
👥 読者別の含意
🔬研究者:Provides robust empirical evidence on the digital economy-energy transition nexus with mediation and spatial analysis, valuable for urban and environmental economics literature.
🏢実務担当者:Highlights opportunities for cities to leverage digital platforms and data analytics to enhance energy transition outcomes, especially in energy-intensive contexts.
🏛政策担当者:Demonstrates that promoting digital economy infrastructure can simultaneously advance energy transition, with positive spillovers across regions; suggests policy coordination.
📄 Abstract（原文）
Although the digital economy (DE) and sustainable urban systems have drawn growing attention, how DE drives urban energy transition (UET) remains insufficiently understood. Employing panel data from 266 Chinese cities spanning 2011–2021, this study applies fixed-effects, mediation, moderation, and spatial Durbin models to examine the impact of DE on UET. UET is measured by a composite index that captures energy system performance and transition readiness. The results show that DE is positively associated with UET, with a one-unit increase in DE corresponding to a 0.1566-unit increase in UET. This finding remains robust after employing an instrumental-variable approach and a battery of robustness checks, including an exogenous policy shock. This positive effect is partially mediated by reduced resource misallocation and industrial structure upgrading. When electricity intensity is treated as a moderating factor, cities with higher electricity intensity exhibit a more pronounced positive effect of DE on UET. Further evidence indicates that DE advances UET in the eastern, central, and western regions, but has a limited impact in the northeastern region. Additionally, DE exerts positive spillover effects, thereby advancing energy transition in neighboring cities.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/systems14070775first seen 2026-07-05 05:15:16
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