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西部地区先进制造业碳足迹与隐含碳转移研究——基于复杂网络视角

  • 邹艳 ,
  • 李胤龙 ,
  • 罗嘉豪
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  • 重庆师范大学经济与管理学院,重庆 401331
邹 艳(1974-),女,四川安岳人,博士,教授,主要研究方向为碳市场、预测与决策。

网络出版日期: 2026-09-15

基金资助

教育部人文社会科学研究项目(23XJA630006);重庆市自然科学基金(CSTB2023NSCQ-MSX0380)

Research on the Carbon Footprint and Implicit Carbon Transfer of Advanced Manufacturing in the Western Region: a Complex Network Perspective

  • ZOU Yan ,
  • LI Yinlong ,
  • LUO Jiahao
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  • School of Economics and Management, Chongqing Normal University, Chongqing 401331, China

Online published: 2026-09-15

摘要

分析西部地区先进制造业的碳足迹和隐含碳转移,揭示碳排放的空间分布和转移路径,为制定区域协同减排政策提供依据。基于2007至2017年11个省的数据,采用IO和MRIO模型测算碳足迹,并分析省际及行业间隐含碳转移的动态变化,构建了省区间隐含碳转移网络并探讨了其整体和节点特征。结果显示:西部先进制造业碳足迹总体上升,尤其在内蒙古、广西、重庆等省增长显著,主要集中在非金属矿物制品业和设备制造业;四川、贵州、云南的隐含碳转入量增加,内蒙古和广西的隐含碳转出量在2017年显著增长,转出主要来自非金属矿物制品业;隐含碳转移网络呈“核心-边缘”结构,四川和陕西处于核心,新疆、青海和甘肃处于边缘。

本文引用格式

邹艳 , 李胤龙 , 罗嘉豪 . 西部地区先进制造业碳足迹与隐含碳转移研究——基于复杂网络视角[J]. 复杂系统与复杂性科学, 2026 , 23(4) : 62 -69 . DOI: 10.13306/j.1672-3813.2026.04.008

Abstract

This study analyzes the carbon footprint and implicit carbon transfer of advanced manufacturing in the western region, revealing the spatial distribution characteristics of carbon emissions and transfer pathways, providing a basis for formulating regional collaborative emission reduction policies. Using data from 11 provinces between 2007 and 2017, the study applies the IO model and MRIO model to measure carbon footprints and analyze the dynamic changes in inter-provincial and inter-industry implicit carbon transfers. It also constructs a provincial implicit carbon transfer network and examines its overall and individual node characteristics. The results show that: The carbon footprint of advanced manufacturing in the western region has increased overall, with significant growth in provinces such as Inner Mongolia, Guangxi, and Chongqing, mainly concentrated in the non-metallic mineral products and equipment manufacturing industries. The implicit carbon transfer into Sichuan, Guizhou, and Yunnan has increased, while Inner Mongolia and Guangxi experienced a significant growth in implicit carbon transfer out in 2017, mainly from the non-metallic mineral products industry. The implicit carbon transfer network exhibits a "core-periphery" structure, with Sichuan and Shaanxi in the core and Xinjiang, Qinghai, and Gansu in the periphery.

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