グリーン電力代替と炭素取引の相乗効果による持続可能な鉄道交通の低炭素移行経路：上場企業の運営データに基づく差分の差分法による証拠とシナリオシミュレーション
Low-Carbon Transition Pathways for Sustainable Rail Transit Through Green Electricity Substitution and Carbon Trading Synergy: Difference-In-Differences Evidence and Scenario Simulation Based on Operating Data of Listed Companies (原題)
Yunyan Li, Huiting Wu, Xi Chen, Qiuping Leng
🤖 gxceed AI 要約
日本語
中国の上場鉄道運営8社の2017〜2025年パネルデータを用い、グリーン実践の効果を差分の差分法で比較した。既存のグリーン電力調達は約1%にとどまり、炭素強度・財務への有意な効果は検出されなかった。2026〜2030年の4経路をシミュレーションし、グリーン技術経路は2030年までに炭素強度を41.6%削減、累積約39.8ktの削減と915万元の純利益増をもたらすと示す。
English
Using a 2017–2025 panel of eight Chinese listed rail operators, a difference-in-differences comparison finds existing green practices marginal (green electricity ~1% of use) with no significant carbon-intensity or financial effect. Simulating four 2026–2030 pathways, the green-technology route cuts carbon intensity 41.6% below baseline by 2030 (~39.8 kt CO2 abated, 9.15M CNY net profit gain). Raising urban rail green-electricity share to 40% would abate ~6.46 Mt CO2 yearly.
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
中国鉄道事業者の企業単位での脱炭素実践と炭素取引の効果を定量化した研究で、日本ではScope3・運輸セクターの気候開示や炭素価格政策の議論に参照価値がある。鉄道・物流企業の脱炭素投資判断やSSBJ開示の裏付けとして活用できる。
In the global GX context
Adds firm-level empirical evidence on how green electricity procurement and carbon-market inclusion interact for transport operators, relevant to ISSB/TCFD transport-sector disclosure and transition-finance debates on carbon-pricing exposure.
👥 読者別の含意
🔬研究者:企業レベルの鉄道脱炭素効果を差分の差分法とシナリオで測る再現可能な手法の参考になる。
🏢実務担当者:グリーン電力調達と炭素取引参加の費用対効果を投資判断に組み込む際の定量根拠となる。
🏛政策担当者:運輸セクターの炭素取引組み入れやグリーン電力比率目標の政策設計に示唆を与える。
📄 Abstract（原文）
The sustainable transition of rail transit is central to sustainable mobility under China's dual-carbon goals, yet energy use and carbon emissions from operations keep rising as networks expand, and most of the evidence is city- or line-level, with little known about what operators' own green practices deliver. Using a 2017–2025 panel of eight A-share listed rail transit operators, this study applies a two-way fixed-effects difference-in-differences specification to compare changes in estimated carbon intensity and financial performance around firms' green practices — an exploratory descriptive comparison, since identification rests on a single treated firm — and then simulates four pathways for 2026–2030 — business as usual, green electricity and technology, inclusion in carbon trading, and their combination — calibrated on Shentong Metro's 2025 operating data, and extrapolates the results to industry level. Existing green practices remain marginal: green electricity purchased by Beijing–Shanghai High-Speed Railway in 2025 covered about 1% of its estimated electricity use, and the comparison detects no statistically significant change in carbon intensity (β = 0.225, p = 0.421) or on financial performance. The green-technology pathway cuts carbon intensity by 41.6% below the baseline by 2030, with cumulative abatement of about 39.8 kt CO2 and a cumulative net profit gain of 9.15 million CNY over five years; the combined pathway delivers the same abatement with stronger cost resilience under tightening quotas. Raising the green-electricity share of China's urban rail transit to 40% would abate about 6.46 Mt CO2 per year. By quantifying and monitoring the sustainability performance of rail operators at the firm level, this study provides reproducible measurement tools and evidence-based references for sustainability policy and corporate sustainable strategy in the transport sector.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.20944/preprints202611.0087.v1first seen 2026-11-05 05:06:00
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