Analysis of the carbon emission reduction mechanism in the textile industry under the dual control of carbon emissions and carbon trading prices
炭素排出量と炭素取引価格の二重規制下における繊維産業の炭素排出削減メカニズムの分析 (AI 翻訳)
Zhipeng Yan, Jingjiao Liang, Yunxia Wu, Shenglin Ma
🤖 gxceed AI 要約
日本語
本論文は、中国の炭素排出量取引パイロット市場における炭素価格が繊維産業の炭素排出強度に与える影響をパネル回帰モデルで分析。炭素価格の1%上昇が排出強度を0.005%低下させることを示し、エネルギー効率が完全媒介、エネルギー構造が部分媒介することを発見。
English
This paper empirically examines the impact of carbon trading prices in China's pilot carbon markets on carbon emissions and intensity in the textile industry using a panel regression model. Results show a 1% rise in carbon prices reduces emission intensity by 0.005%, with energy efficiency playing a full mediating role and energy structure a partial role.
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
日本でも炭素価格制度の導入が進む中、中国の実証結果は参考になる。ただし日本の繊維産業は構造が異なるため、直接適用には注意が必要。
In the global GX context
This study provides empirical evidence on the effectiveness of carbon pricing in reducing industrial emissions, relevant for global carbon market design and sectoral policies under the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides empirical evidence on carbon pricing transmission mechanisms in a high-emission industry using mediation analysis.
🏢実務担当者:Highlights the importance of energy efficiency investments and carbon price signals for green transformation in textiles.
🏛政策担当者:Supports the expansion of carbon markets and the need to strengthen price formation mechanisms for emission reduction.
📄 Abstract（原文）
Abstract: The textile industry, as a high-energy consumption and high-emission traditional sector, faces significant challenges in its emission reduction efforts. This paper, based on the dual control targets for carbon emissions, employs a panel regression model to empirically examine the impact of carbon trading prices in China’s pilot carbon markets on carbon emissions and carbon emission intensity in the textile industry. The paper also explores the role of energy structure and energy efficiency in this process through a mediation effect model. The findings reveal that carbon trading prices have a significant negative impact on carbon emission intensity in the textile industry, with every 1% rise in carbon trading prices leading to a 0.005% drop in carbon emission intensity, while their effect on overall carbon emissions is comparatively weaker. Further analysis indicates that energy efficiency plays a fully mediating role in promoting carbon emission reductions, whereas adjustments to the energy structure have only a partial mediating effect. The study suggests that there should be substantial development of carbon trading markets, improvement of the price formation mechanism, and enhancement of energy efficiency through technological innovation and management optimisation, thereby facilitating the green and low-carbon transformation of the textile industry. This would provide policy recommendations and practical guidance for achieving the dual control targets for carbon emissions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.35530/it.077.01.202579first seen 2026-05-05 22:49:21
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。