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Digital economy, technological innovation, and residents' low-carbon consumption

デジタル経済、技術革新、住民の低炭素消費 (AI 翻訳)

Chaoxun Ding, Pujing Sang, Xuepin Wu, Ruidan Zhang, Xubei Lian

Journal of Innovation & Knowledge📚 査読済 / ジャーナル2026-06-05#エネルギー転換Origin: CN
DOI: 10.1016/j.jik.2026.101077
原典: https://doi.org/10.1016/j.jik.2026.101077

🤖 gxceed AI 要約

日本語

本論文は、中国30省のパネルデータを用いて、デジタル経済が住民の低炭素消費を促進することを実証。技術革新が媒介する経路を検証し、地域ごとの効果の違いを明らかにした。特に西部地域とキャッチアップ地域で効果が強く、先進地域では反動効果が見られる。

English

Using panel data from 30 Chinese provinces (2011-2021), this study demonstrates that the digital economy significantly promotes residents' low-carbon consumption through technological innovation. The effect is strongest in Western China and catching-up regions, but negative in benchmark regions due to rebound 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

中国のデジタル経済と低炭素消費の関係を分析した研究は、日本でもデジタル化とGXの連携を考える上で参考になる。特に、地域差やリバウンド効果への示唆は、日本の地域政策にも応用可能。

In the global GX context

This Chinese study provides empirical evidence on how digital economy drives low-carbon consumption, relevant for global discussions on digitalization and sustainability. The regional heterogeneity and rebound effects offer insights for designing differentiated policies worldwide.

👥 読者別の含意

🔬研究者:Provides empirical evidence of the digital economy's role in low-carbon consumption and the mediating effect of technological innovation.

🏛政策担当者:Highlights the need for regional differentiation in policies promoting digital economy for low-carbon transitions, accounting for rebound effects.

📄 Abstract(原文)

The digital economy, with its low-carbon attributes and capacity to stimulate knowledge creation, is central to global sustainability efforts. This study examines its impact on residents' low-carbon consumption, focusing on the mediating role of technological innovation. Using panel data from 30 provincial-level regions in China (2011–2021), the baseline results show that the digital economy significantly promotes residential low-carbon consumption. This finding remains significant in both robustness tests and endogeneity tests. However, the effect is not uniform. Geographically, the promoting effect is strongest in Western China, while it is negative or insignificant in Eastern and Central China. When provinces are divided into catching-up, leading, and benchmark regions according to economic development stages, the effect is most prominent in catching-up and leading regions. In contrast, it shows a significantly negative effect in benchmark regions, primarily due to rebound effects such as “excessive consumption” and “hidden high-carbon consumption”. This study verifies the pathway of “digital development → innovation transformation → consumption upgrading”. It reveals the dynamic balance between the enabling and rebound effect of the digital economy across regions for designing differentiated policies to support low-carbon transitions.

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