doi:10.12202/j.0476-0301.2021110田欣^{1, 2,,},
罗子凡¹,
王化璇¹,
高寒¹,
熊翌灵¹
1.北京师范大学环境学院，100875，北京
2.北京师范大学水环境模拟国家重点实验室，100875，北京
基金项目:基于贸易关联的中国循环经济实施效果综合评价与全球影响研究项目；城市与区域生态国家重点实验室开放基金项目（SKLURE2020-2-6）

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通讯作者:田欣，女，副教授，博士生导师. 研究方向：生态环境管理. E-mail：tianx@bnu.edu.cn

中图分类号:TF089

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出版历程

收稿日期:2021-05-06
网络出版日期:2021-08-17
刊出日期:2021-10-01

Decoupling trends and patterns in China’s steel footprint

Xin TIAN^{1, 2,,},
Zifan LUO¹,
Huaxuan WANG¹,
Han GAO¹,
Yiling XIONG¹
1. School of Environment, Beijing Normal University, 100875, Beijing, China
2. State Key Laboratory of Water Environment Simulation, Beijing Normal University, 100875, Beijing, China



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摘要
摘要:钢铁是维持现代社会经济系统运转不可或缺的原材料．社会经济发展过程引发了对钢铁资源的大量需求，与此同时，钢铁的生产与消费也带来环境污染问题，威胁人民群众健康．从消费侧视角出发，探究钢铁足迹的脱钩趋势和演变特征，对理解我国的钢铁消费需求、提高消费效率具有重要意义．基于此，本文采用多区域投入产出分析方法，核算并分析了1995—2016年中国钢铁足迹与经济发展的脱钩趋势，并揭示了最终需求结构变化对钢铁足迹变化趋势的影响．结果表明，1995—2016年，我国钢铁足迹总体保持快速增长态势，并经历了从强脱钩到扩张性耦合、再到弱脱钩的演变过程，反映了我国不同经济发展阶段的钢铁需求差异．从最终消费需求结构看：2016年我国73%的钢铁足迹由投资拉动，其中建筑业、其他制造业和交通部门贡献了98%的投资相关的钢铁足迹；家庭消费贡献了14%的钢铁足迹，轻工业、其他制造业、交通部门和生活性服务业贡献了约82%的家庭消费引发的钢铁足迹．基于我国钢铁足迹的演变特征与脱钩趋势引导终端钢铁消费结构调整，逐步推进重点部门以需定产、合理消费，有助于实现钢铁资源的可持续利用以及与社会经济的协调发展．
关键词:钢铁足迹/
消费侧核算/
多区域投入产出分析/
脱钩分析/
中国
Abstract:Steel is an essential element in modern socio-economic systems．Socio-economic development leads to great demands for steel resources, while production and consumption of steel has brought about environmental pollutions and threatened human health．Therefore, it is important to explore evolutionary characteristics of steel demand from a consumption-based perspective to understand steel consumption patterns in China．In this study multi-regional input-output model was used to estimate China’s steel footprint from 1995-2016, to analyze its evolution pattern and decoupling relationship with economic development, and impact of changing final demand structure on trends of steel footprint．From 1995-2016, China’s steel footprint was found to maintain a rapid growth trend and experience an evolutionary process from strong decoupling to expansive coupling to weak decoupling．Considering the structure of final consumption demand in 2016, investment was found to contribute 73% of the steel footprint．Household consumption was the second largest with a share of 14%．In terms of consumption categories, construction, other manufacturing, and transportation sectors triggered 98% of the steel footprint related to investment．Light industry, other manufacturing, transportation and living services dominated the steel footprint triggered about 82% by household consumption．Decoupling trends and patterns of steel footprint in China could be used to optimize steel consumption structure and promote demand-driven production in key sectors, to achieve sustainable consumption of steel for “strong decoupling”．
Key words:steel footprint/
consumption based accounting/
multi-regional input-output analysis/
decoupling analysis/
China