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Energy and Environment Impact of Carbon Credit on Emission Reduction in China

中国における炭素クレジットの排出削減へのエネルギー・環境影響 (AI 翻訳)

Zirui Lin

E3S Web of Conferences📚 査読済 / ジャーナル2026-01-01#炭素価格Origin: CN経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.1051/e3sconf/202672801004
原典: https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/46/e3sconf_eeupd26_01004.pdf
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🤖 gxceed AI 要約

日本語

中国の炭素排出権取引パイロット政策を自然実験として、2005-2021年の30省のパネルデータを用いてDIDモデルで炭素排出強度への影響を検証。SO2とPM2.5の削減に相乗効果があるが、窒素酸化物には効果が限定的。炭素取引制度は排出削減に大きな可能性を持つが、価格シグナルと市場メカニズムの強化が必要。

English

Using a quasi-natural experiment of China's carbon trading pilots and panel data from 30 provinces (2005-2021), this study applies a DID model to assess policy impact on carbon intensity. It finds synergistic reductions in SO2 and PM2.5 but limited effect on NOx, concluding that carbon trading holds significant potential but requires stronger price signals and market mechanisms.

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

日本では2026年度からの有価証券報告書でのSSBJ開示義務化やカーボンプライシング導入が議論されており、中国の排出権取引の実証結果は、市場メカニズムの設計や価格シグナルの重要性を示す参考となる。

In the global GX context

This empirical evidence from China's carbon trading pilots contributes to global understanding of carbon pricing effectiveness, informing policy design for emissions trading systems and transition finance frameworks.

👥 読者別の含意

🔬研究者:Provides empirical evidence on the effectiveness of carbon trading policies in reducing emissions, useful for comparative policy analysis.

🏢実務担当者:Highlights the importance of carbon pricing mechanisms and market signals for corporate decarbonization strategies.

🏛政策担当者:Offers insights for designing effective carbon pricing policies, emphasizing the need for robust price signals and market mechanisms.

📄 Abstract（原文）

Carbon credits serve as emission reduction certificates for projects that reduce GHG emissions, while carbon emission trading policies serve as a market-based carbon trading mechanism. This study is based on a quasi-natural experiment of carbon emission trading pilot programs in multiple regions of China. Using panel data from 30 provinces from 2005 to 2021, it examines the direct impact of carbon trading policies on carbon emission intensity. The policy effect was tested using a DID model, supplemented by a series of tests to verify the model's stability, and the heterogeneity of emission reduction in each pilot area was analyzed using the synthetic control method. The study found that carbon emissions trading policies work synergistically to reduce SO 2 and PM 2.5 emissions, but have little effect on nitrogen oxides. The carbon trading system has significant potential for carbon emission reduction in China, but it needs to strengthen price signals and market mechanisms to improve its effectiveness.

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