中国采矿业隐含碳流动时空演变格局及减排路径

金属矿山 ›› 2025, Vol. 54 ›› Issue (6): 284-292.

中国采矿业隐含碳流动时空演变格局及减排路径

杨　玮^1,2,3　郭嫚雨¹ 　龙　涛^1,2,3　邓　莎^1,2,3 王茜茜¹

1. 西安建筑科技大学资源工程学院,陕西西安 710055;2. 陕西省黄金与资源重点实验室,陕西西安 710055; 3. 西安建筑科技大学绿色选冶协同技术与装备研究所,陕西西安 710055

出版日期:2025-06-15 发布日期:2025-07-09
通讯作者: 郭嫚雨(1999-),女,硕士研究生。
作者简介:杨　玮(1971—),男,教授,博士,博士研究生导师。
基金资助:
国家自然科学基金项目(编号:52174261);陕西省重点研发计划项目(编号:2023-YBGY-053)。

Spatial-temporal Evolution Patterns and Emission Reduction Pathways of Embodied Carbon Flow in China′s Mining Industry

YANG Wei^1,2,3 GUO Manyu ¹　 LONG Tao ^1,2,3　 DENG Sha ^1,2,3 　 WANG Xixi ¹

1. School of Resources Engineering,Xi′an University of Architecture and Technology,Xi′an 710055,China; 2. Key Laboratory of Gold and Resources in Shaanxi Province,Xi′an 710055,China;3. Technology & Equipment Institute of Green Beneficiation-Metallurgy,Xi′an University of Architecture and Technology,Xi′an 710055,China

Online:2025-06-15 Published:2025-07-09

摘要/Abstract

摘要： 追踪贸易隐含碳排放对于实现国家“双碳”目标至关重要。然而,跨区域与部门间隐含碳流动特征及路径的识别面临诸多挑战,阻碍了减排进程。采矿业作为高碳排放密集型行业,其在跨省贸易中的隐含碳流动趋势及关键减排路径仍待进一步研究。为了解决上述问题,研究基于时空视角,利用中国 2012、2015 及 2017 年的多区域投入产出表(MRIO),构建了中国采矿业隐含碳转移网络分析框架,系统考察了采矿业隐含碳流动的演变趋势、空间分布特征及其减排路径。结果表明:①中国采矿业因能源消费产生的二氧化碳排放量总体呈下降趋势,其中原煤燃烧贡献的排放量最高;②采矿业的直接与隐含碳排放虽呈现收敛态势,但行业整体处于隐含碳净流出状态,其主要上游部门依次为 S8(石油、炼焦产品和核燃料加工品)、S11(金属冶炼和压延加工品)、S20(电力、热力的生产和供应)及 S24(交通运输、仓储和邮政业);③江苏、广东、河南、陕西、山东、河北、山西等省份具有较高的网络中心性,是采矿业减排的关键区域。隐含碳流动量最大的路径为陕西至浙江,达 357. 06 万 t;本研究旨在为采矿业乃至整个经济体系的绿色低碳转型提供科学依据与实践参考,助力构建人与自然和谐共生的现代化矿业发展模式。

关键词: 采矿业, 　多区域投入产出模型(MRIO)　, 复杂网络　, 隐含碳流动

Abstract: Tracking embodied carbon emissions in trade is crucial for achieving China′s " dual carbon" goals. However, identifying the characteristics and pathways of cross-regional and inter-sectoral embodied carbon flows remains challenging,hindering emission reduction progress. As a high-carbon emission-intensive industry,the mining industry still needs further research on the trend of embodied carbon flows and key emission reduction paths in cross-provincial trade. In order to solve the above issues,this study constructs an analytical framework for China′s embodied carbon transfer network in the mining industry based on the spatiotemporal perspective,utilizing multi-regional input-output (MRIO) tables for 2012,2015,and 2017. This framework systematically examines the evolving trends,spatial distribution patterns,and reduction pathways of embodied carbon flows within the mining sector. The results indicated that:① energy consumption-related CO2 emissions from China′s mining industry exhibited an overall downward trend. Emissions from raw coal combustion constituted the largest share. ② While direct and embodied carbon emissions within the mining industry showed a converging trend,the sector remained a net exporter of embodied carbon. Its primary upstream contributing sectors were identified as S8 (Petroleum,Coking,and Nuclear Fuel Processing Products),S11 (Smelting and Pressing of Metals),S20 (Production and Supply of Electricity and Heat),and S24 (Transportation,Storage,and Postal Services). ③ Jiangsu,Guangdong,Henan,Shaanxi,Shandong,Hebei,and Shanxi demonstrated higher network centrality,establishing them as critical regions for mining emission reduction. The largest embodied carbon flow pathway was from Shaanxi to Zhejiang,amounting to 3. 570 6 million tons. This research aims to provide a scientific basis and practical insights for fostering the green and low-carbon transformation of the mining industry and the broader economic system, thereby contributing to the development of a modernized mining model that promotes harmonious coexistence between humanity and nature.

Key words: mining industry,Multi-regional Input-Output Model(MRIO),complex networks,embodied carbon flow

中图分类号:

杨　玮, 郭嫚雨, 龙　涛, 邓　莎, 王茜茜. 中国采矿业隐含碳流动时空演变格局及减排路径 [J]. 金属矿山, 2025, 54(6): 284-292.

YANG Wei, GUO Manyu, LONG Tao, DENG Sha , WANG Xixi . Spatial-temporal Evolution Patterns and Emission Reduction Pathways of Embodied Carbon Flow in China′s Mining Industry [J]. Metal Mine, 2025, 54(6): 284-292.

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