ESG视角下铁路运输企业碳配额分配研究

赵锐; 赵祎杰; 周晓; 邓力刚

doi:10.13205/j.hjgc.202609024

ESG视角下铁路运输企业碳配额分配研究

doi: 10.13205/j.hjgc.202609024

赵锐¹,
赵祎杰¹,
周晓^2, ,,
邓力刚¹

1. 西南交通大学环境科学与工程学院, 成都 611756;
2. 华中师范大学城市与环境科学学院, 武汉 430079

基金项目:

中国中铁股份有限公司科技研究开发计划项目“工程建造低碳技术体系与碳智能管理系统研究”（科研院2022-重大-01）；“基于模型驱动的碳排放测算与低碳技术体系实践研究”（2023-重大-06）

详细信息

作者简介:
赵锐(1983—),男,教授,主要研究方向为低碳可持续设计与技术。ruizhao@swjtu.edu.cn

通讯作者:
周晓(1994—),男,副教授,主要研究方向为低碳可持续发展。zhxiao712@ccnu.edu.cn

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出版历程
- 收稿日期: 2025-10-28
- 网络出版日期: 2026-11-05

Carbon quota allocation for railway transportation enterprises in China from ESG perspective

1. School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China

摘要

摘要: 铁路运输是交通运输行业的重要组成部分，正面临着严峻的减排压力。开展碳配额分配研究，不仅有助于提升铁路运输企业碳效率，也是推动铁路行业低碳发展的前提。研究核算了中国18个铁路局集团公司的碳排放，并构建了基于ESG （Environmental， Social， Governance）原则的碳配额分配模型，以确保碳配额分配的可持续性。结果表明：2016—2023年间，铁路运输企业碳排放由5702.69万t增加至6692.60万t，增长了17.36%；ESG原则下，上海局集团公司、北京局集团公司和广州局集团公司因运输强度高、单位排放强度低，获得较高配额，分别为635.50万，618.14万，548.83万t；而青藏集团公司、昆明局集团公司等生态敏感地区则通过跨区域协调获得增量配额，分别为230.85万，279.56万t。可通过设立低碳技术研发专项基金、建立省际碳交易平台、构建动态评估机制等措施，推动我国铁路运输行业的绿色转型，为碳交易市场扩展至交通运输业奠定基础。
- 铁路运输企业 /
- 碳排放核算 /
- 碳配额分配 /
- ESG原则
Abstract: Railway transportation is an essential part of the transportation sector and faces increasingly severe challenges in emission reduction. Research on carbon quota allocation serves as a prerequisite for improving the carbon quota management efficiency of railway transportation enterprises and promoting the low-carbon development of the railway industry. This study calculated the carbon emissions of 18 railway bureaus and constructed a carbon quota allocation model based on the ESG （Environmental， Social， and Governance） principles to ensure the sustainability of carbon quota distribution. The results showed that from 2016 to 2023， the carbon emissions of railway transportation enterprises increased from 57.03 million tons to 66.93 million tons， representing an increase of 17.36%. Under the ESG principles， Shanghai Railway Bureau， Beijing Railway Bureau， and Guangzhou Railway Bureau， which are characterized by higher transportation intensity and lower emission intensity， were allocated higher quotas of 6.3550 million tons， 6.1814 million tons， and 5.4883 million tons， respectively； whereas ecologically sensitive regions such as Qinghai-Tibet Railway Group and Kunming Railway Bureau obtained additional quotas of 2.3085 million tons and 2.7956 million tons， respectively， through inter-regional coordination. To promote the green transformation of the railway industry， measures such as establishing special funds for low-carbon technology research and development， creating provincial carbon trading platforms， and building dynamic evaluation mechanisms should be implemented. These initiatives will lay the foundation for extending the carbon trading market to the transportation sector.
- railway transportation enterprises /
- carbon emission accounting /
- carbon quota allocation /
- ESG principles

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参考文献(21)

[1]	ZHANG Y J，LIU Z，ZHANG H，et al. The impact of economic growth，industrial structure，and urbanization on carbon emission intensity in China［J］. Natural Hazards，2014，73（2）:579-595.
[2]	CHEN L，MSIGWA G，YANG M Y，et al. Strategies to achieve a carbon neutral society:a review［J］. Environmental Chemistry Letters，2022，20（4）:2277-2310.
[3]	DU Z L，WANG Y. Does energy-saving and emission reduction policy affect carbon reduction performance? A quasi-experimental evidence in China［J］. Applied Energy，2022，324:119758.
[4]	WANG L J，DU K R，SHAO S. Transportation infrastructure and carbon emissions:new evidence with spatial spillover and endogeneity［J］. Energy，2024，297:131268.
[5]	PENG Z M，LI M. Carbon emissions intensity of the transportation sector in China:spatiotemporal differentiation，trends forecasting and convergence characteristics［J］. Sustainability，2025，17（3）:815.
[6]	WEI X Y，WANG H X. Research on China's railway freight pricing under carbon emissions trading mechanism［J］. Sustainability，2025，17（12）:5265.
[7]	HAN R，YU B，TANG B，et al. Carbon emissions quotas in the Chinese road transport sector:a carbon trading perspective［J］. Energy Policy，2017，106:298-309.
[8]	LI X，GAO L，LIU J. The approach to carbon emission quotas of road transportation:a carbon emission intensity perspective［J］. Journal of Advanced Transportation，2020:8819694.
[9]	GUO Y N，TONG Q，LI Z J，et al. Research on carbon emission quota of railway in China from the perspective of equity and efficiency［J］. Sustainability，2022，14（21）:13789.
[10]	ZHAO R，JIANG Q F，XIONG X，et al. An efficiency and equity principle based two-stage DEA network model driven carbon allowances for the national railroad sector［J］. Journal of Earth Environment，2026，17（1）:165-176. 赵锐，蒋启帆，熊欣，等. 基于效率-公平原则的两阶段DEA网络模型铁路部门碳配额研究［J］. 地球环境学报，2026，17（1）:165-176.
[11]	LI S J，MA Q F. Carbon quota allocation and emission reduction responsibility sharing at provincial level in China from transport industry［J］. Sustainable Futures，2025，9:100535.
[12]	TIAN P，LU Y T，QIU S M，et al. Research on carbon emission characteristics and emission reduction potential of railway transport in Beijing-Tianjin-Hebei Region［J］. Railway Standard Design，2025，69（4）:1-10. 田璞，鲁垠涛，邱圣明，等. 京津冀地区铁路运输碳排放特征和减排潜力研究［J］. 铁道标准设计，2025，69（4）:1-10.
[13]	LI X Y，WU R. Research on greenhouse gas emissions accounting boundaries and calculating method of the transport sector［J］. Climate Change Research，2023，19（1）:84-90. 李晓易，吴睿. 交通运输温室气体核算边界和测算方法研究［J］. 气候变化研究进展，2023，19（1）:84-90.
[14]	GAO Y M，WANG S Y. A brief analysis of the Beijing Railway Bureau's transportation carbon emissions inventory and carbon emissions baseline［J］. Railway Energy Saving& Environmental Protection& Occupational Safety and Health，2016，6（3）:112-116. 高玉明，王术尧. 北京铁路局运输碳排放清单及碳排放基准线浅析［J］. 铁路节能环保与安全卫生，2016，6（3）:112-116.
[15]	LIU Y L，XIN J Y，ZHOU Z J. Study of carbon quota allocation for China's transportation industry under the carbon peaking target［J］. Highway，2025，70（2）:296-303. 刘云龙，辛佳怡，周志洁. 碳达峰目标下中国交通运输业碳配额分配研究［J］. 公路，2025，70（2）:296-303.
[16]	Department of Energy Statistics，National Bureau of Statistics of China. China energy statistical yearbook 2024［M］. Beijing:China Statistics Press，2025. 国家统计局能源统计司. 中国能源统计年鉴2024［M］. 北京:中国统计出版社，2025.
[17]	CAI B F，ZHAO L，ZHANG Z，et al. Study on CO₂ emission factors of China's regional power grids（2023）［R］. Beijing:Research Center for Carbon Peaking and Carbon Neutrality，Chinese Academy of Environmental Planning，Ministry of Ecology and Environment，2023. 蔡博峰，赵良，张哲，等. 中国区域电网二氧化碳排放因子研究（2023）［R］. 北京:生态环境部环境规划院碳达峰碳中和研究中心，2023.
[18]	Department of Social，Science-Technology and Cultural Industry Statistics，National Bureau of Statistics of China； Department of Strategic Planning，Ministry of Science and Technology. China science and technology statistical yearbook 2024［M］. Beijing:China Statistics Press，2024. 国家统计局社会科技和文化产业统计司，科学技术部战略规划司. 中国科技统计年鉴2024［M］. 北京:中国统计出版社，2024.
[19]	IPCC. 2006年IPCC国家温室气体清单指南［R/OL］. EGGLESTON H S，BUENDIA L，MIWA K， et al.日本:全球环境战略研究所，2006［2026-08-14］. https://www.ipcc-nggip.iges.or.jp/public/2006gl/chinese/index.html.
[20]	National Bureau of Statistics of China. China statistical yearbook 2024［M］. Beijing:China Statistics Press，2024. 国家统计局. 中国统计年鉴2024［M］. 北京:中国统计出版社，2024.
[21]	国家铁路局，国家发展和改革委员会，生态环境部，等.推动铁路行业低碳发展实施方案［EB/OL］.（2024-02-05）［2026-08-14］.https://www.nra.gov.cn/xwzx/xwxx/xwlb/202402/t20240205_344653.shtml.