The Mystery of the High-Carbon Bias in Technology Trade?—An Empirical Examination at the Provincial Level in China Under the Influence of the Digital Economy
技術貿易における高炭素バイアスの謎？—デジタル経済の影響下における中国省レベルの実証分析 (AI 翻訳)
Hao Yan, LI Yan-hua, Ru Fa
🤖 gxceed AI 要約
日本語
本稿は、2011～2023年の中国省別パネルデータを用いて、技術取引が炭素排出強度を高める「高炭素バイアス」を実証した。エネルギー消費構造の排出削減効果は直接的な炭素増加効果に完全に隠蔽され、デジタル経済は炭素増加効果を正に調整し、二重閾値特性を示す。デジタル経済とイノベーションの高い省でのみ炭素効果が顕著である。
English
Using provincial panel data from China (2011-2023), this study empirically demonstrates a 'high-carbon bias' in technology transactions, significantly increasing carbon emission intensity. The energy consumption structure's emission reduction effect is entirely masked by the direct carbon-increasing effect. The digital economy positively moderates this effect with a dual-threshold characteristic, and the carbon effect is significant only in provinces with high levels of digital economy and innovation.
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
中国の省レベルデータから、技術取引が炭素集約度を高める高炭素バイアスが明らかになった。デジタル経済の調整効果に着目し、日本でもデジタル化とGXの連携に示唆を与える。
In the global GX context
This study provides empirical evidence on the carbon bias of technology trade in China, highlighting the moderating role of the digital economy. While China-specific, it offers insights for global discussions on technology transfer and carbon leakage, and the interplay between digitalization and decarbonization.
👥 読者別の含意
🔬研究者:研究者は、技術取引の炭素効果とデジタル経済の調整効果に関する実証手法を参照できる。
🏢実務担当者:実務家は、自社の技術取引が炭素排出に与える影響を評価する枠組みとして活用可能。
🏛政策担当者:政策立案者は、技術取引のグリーン化とデジタル経済政策の連携を検討する際の参考となる。
📄 Abstract（原文）
Addressing climate change and advancing the “dual-carbon” goals are core tasks for the high-quality sustainable development of the Chinese economy. As a key vehicle for the market-based allocation of technological factors, the direction of the carbon effects and transmission mechanisms of technology transactions remain highly contested. This paper addresses the mystery of the high-carbon bias in technology transactions under the mediation of the digital economy, conducting an empirical analysis based on provincial panel data from China covering the period 2011–2023. The findings reveal that the net outcome of provincial-level technology transactions exhibits a high-carbon bias, significantly increasing carbon emission intensity; the energy consumption structure exerts a significant masking effect, with its emission-reduction effects being entirely overshadowed by the direct carbon-increasing effect; the digital economy exerts a positive moderating effect on this carbon-increasing effect and exhibits a dual-threshold characteristic; the carbon effect evolves in stages and is significant only in provinces with high levels of digital economy and innovation. This paper reveals the intrinsic logic of the carbon effect of technology transactions and provides policy recommendations for guiding the decarbonization of technology transactions and promoting the synergy between the digital economy and green transition, thereby contributing to regional and global sustainability goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136629first seen 2026-07-02 05:32:21
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