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

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.

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Publication Details

Journal
Preprints.org
Published
2026-11-02
DOI
https://doi.org/10.20944/preprints202611.0087.v1
Primary Topic
transportation and logistics systems
Type
preprint
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preprint

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

Qiuping Leng, Huiting Wu, Yunyan Li, Xi Chen
Preprints.org
transportation and logistics systems
preprint

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

Qiuping Leng, Huiting Wu, Yunyan Li, Xi Chen
preprint en

Abstract

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.

Preprints.org
transportation and logistics systems
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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 — Qiuping Leng, Huiting Wu, et al. · Preprints.org (2026) | TGRS Research Map | TGRS