| 84 | 0 | 15 |
| 下载次数 | 被引频次 | 阅读次数 |
对供应链韧性在节能减排中的作用及其贡献值进行分析，研究供应链韧性与区域碳排放强度的作用机理，结合实际情况提出针对供应链韧性方面的节能减排措施。文章采用2012—2022年的省级面板数据，实证考察了供应链韧性对于碳排放强度的影响以及作用机制。经过深入分析，研究发现：供应链韧性发展显著抑制碳排放强度，产业结构的调整是供应链韧性降低碳排放强度的重要机制，所以增强供应链韧性的同时，应当优化传统产业，提高能源利用水平，实现节能减排的目标。
Abstract：This paper analyzes the role of supply chain resilience in energy saving and emission reduction, studies the mechanism of supply chain resilience on regional carbon emission intensity, and proposes energy saving and emission reduction measures for supply chain resilience based on the actual situation. This paper uses the provincial panel data from 2012 to 2022 to empirically examine the impact and mechanism of action of supply chain resilience on carbon emission intensity. After in-depth analysis, it is found that the resilience of supply chain significantly suppresses the carbon emission intensity, and the adjustment of industrial structure is an important mechanism for the resilience of supply chain to reduce the carbon emission intensity. Therefore, while enhancing the resilience of supply chain, we should optimize traditional industries, improve the level of energy utilization, and achieve the goal of energy conservation and emission reduction.
[1]AI-MULALI U,FEREIDOUNI H G,LEE J,et al.Exploring the relationship between urbanization,energy consumption,and CO2 emission in MENA countries[J].Renewable and sustainable energy reviews,2013,23(4):107-112.
[2]刘丽靓.制定铁路行业碳达峰行动方案推动低碳转型[N].中国证券报，2022-01-20(A1).
[3]BUDIYANTO M A,HUZAIFI M H,SIRAIT S J,et al.Evaluation of CO2 emissions and energy use withdifferent container terminallayouts[J].Scientific reports,2021,11(1):5476.
[4]许良，朱洋洋.需求具有碳排放敏感性的供应链网络设计研究[J].物流科技，2018,41(5):7.
[5]曹细玉，张杰芳.碳减排补贴与碳税下的供应链碳减排决策优化与协调[J].运筹与管理，2018,27(4):5.
[6]吴建煌.考虑需求不确定性的低碳闭环供应链网络规划研究[D].广州：广东工业大学，2021.
[7]钟映竑，张培新.基于模糊程度层次分析法与模糊理想点法的低碳供应商评价与选择[J].物流技术，2014,33(19):340-343.
[8]潘竟虎，张永年.中国能源碳足迹时空格局演化及脱钩效应[J].地理学报，2021,76(1):206-222.
[9]王连芬，赵园，王良健.低碳试点城市的减碳效果及机制研究[J].地理研究，2022,41(7):1898-1912.
[10]ALHAJ M A,SVETINOVIC D,DIABAT A.A carbon-sensitive two-echelon-inventory supply chain model with stochastic demand[J].Resources conservation & recycling,2016,108:82-87.
[11]吕婧，张衍晗，庄玉良.公共卫生危机下基于智慧物流的应急物流能力优化研究[J].中国软科学，2020(增刊1):16-22.
[12]LLEME? J,PIERUCCI S.PRES 2007:carbon footprint and emis sion minimization,integration and management of energy sources,industrial application and case studies [J].Energy,2008,33(10):1447-1479.
[13]WANG S J,FANG C L,MA H T,et al.Spatial differences and multi-mechanism of carbon footprint based on GWR model in provincial China[J].Journal of geographical sciences,2014,24 (4):612-630.
[14]江小涓，靳景.数字技术提升经济效率：服务分工、产业协同和数实孪生[J].管理世界，2022(12):9-26.
[15]刘贤赵，高长春，张勇，等.中国省域碳强度空间依赖格局及其影响因素的空间异质性研究[J].地理科学，2018,38(5):681-690.
[16]TUKAMUHABWA B R,STEVENSON M,BUSBY J,et al.Supply chain resilience:definition,review and theoretical foundations for further study[J].International journal of production research,2015,53(18):5592-5623.
[17]韩璐，丛林，赵君彦.产业数字化对产业链供应链韧性的影响及空间溢出效应研究[J].商业经济研究，2024(4):180-183.
[18]张倩，凌迎兵，孙友然，等.数字经济提升产业链供应链韧性的路径及对策研究[J].商业经济，2024(1):30-33.
[19]余泳泽，孙鹏博，宣烨.地方政府环境目标约束是否影响了产业转型升级?[J].经济研究，2020,55(8):57-72.
[20]HOSSEINI S,IVANOV D,DOLGUI A.Review of quantita-tive methods for supply chain resilience analysis [J].Trans-portation research part e-logistics and transportation review,2019,125:285-307.
[21]陶锋，王欣然，徐扬，等.数字化转型、产业链供应链韧性与企业生产率[J].中国工业经济，2023(5):118-136.
基本信息:
DOI：10.19868/j.cnki.gylgl.2025.07.004
中图分类号:X321;F274
引用信息:
[1]梁毅,贾博越,徐晓东等.供应链韧性对区域碳排放强度的影响作用机制研究[J].供应链管理,2025,6(07):50-59.DOI:10.19868/j.cnki.gylgl.2025.07.004.
基金信息:
2021年教育部人文社会科学研究青年基金项目“面向区域低碳能源筹划规划的电能替代实施路径研究”(21YJC630072); 2023年河北省高等学校人文社会科学研究青年拔尖人才项目“‘双碳’目标下,京津冀地区能源强度与碳排放作用机理研究”(BJS2023003)