Research on the Distribution and Trends of Domestic Low-Carbon Logistics Based on Citespace
DOI:
https://doi.org/10.63313/EBM.2014Keywords:
Low-carbon logistics, Visualization analysis, CiteSpaceAbstract
The logistics industry is one of the major contributors to carbon emissions. Low-carbon logistics is crucial for achieving the goals of "carbon peak" and "carbon neutrality". This article employs bibliometric analysis, utilizing Excel and CiteSpace software, to analyze 964 Chinese academic journal articles on low-carbon logistics published on the China National Knowledge Infrastructure (CNKI) database between 2008 and 2024. The study investigates publication volume trends, core authors and institutions,high-frequency keywords, keyword clustering, and the evolution of research within the low-carbon logistics field.The research findings indicate that studies on low-carbon logistics have undergone a shift from macro-level to micro-level explorations, and from localized to systemic perspectives. The results demonstrate that, with the advancement of technologies such as artificial intelligence and big data, digital logistics has emerged as a new research hotspot. Furthermore, decarbonization and systematization of logistics activities represent significant future research directions.
References
[1] Yue X.Low-carbon logistics in the low-carbon economy[J].China Business and Trade, 2010, (12):101-102.
[2] Han H M.Theoretical research and path exploration of low-carbon logistics development in China[J]. China Business and Trade, 2011, (35):145-146.
[3] Hu Y C, Shen J S, Huang A L.Research on the construction of urban green logistics distribu-tion system[J]. Logistics Technology, 2012, 31(15):56-59.
[4] Fan J, Lu Y J.Research on the "last mile" delivery problem in logistics from the perspective of low-carbon economy[J]. Railway Transport and Economy, 2013, 35(10):65-68.
[5] Wu X W.Multi-objective decision making for third-party reverse logistics enterprise selec-tion under low-carbon economy[J]. Science and Technology Management Research, 2014, 34(6):214-218.
[6] Zhang H J, Zhang J Y, Lai M Y.Game analysis of government behavior and supply chain col-laborative R&D under low-carbon background[J]. Chinese Journal of Management Science, 2015, 23(10):57-66. DOI:10.16381/j.cnki.issn1003-207x.2015.10.007.
[7] Zhu L, Ma Z, Ding J L, et al.Research on vehicle resource cooperation of logistics enterprises based on supernetwork under low-carbon concept[J].Science and Technology Manage-ment Research, 2016, 36(24):260-266.
[8] Li Z H, Liu M L.Analysis of influencing factors for low-carbon development of logistics en-terprises based on ISM and ANP[J]. Journal of Systems Science, 2017, 25(4):105-109.
[9] Zhou Z J, Fu X L, Li M.Research on distribution of waste product recycling sites based on carbon emissions[J].Chinese Journal of Management Sci-ence,2018,26(4):41-48.DOI:10.16381/j.cnki.issn1003-207x.2018.04.005.
[10] Yang L, Wang Y C, Hou H P.Research on route optimization of low-carbon cold chain dis-tribution[J]. Journal of Commercial Economics, 2019, (17):104-107.
[11] Ren Z Z, Chen X, Xu J.Influencing factors and mechanism of low-carbon development in rural logistics[J]. Statistics&Decision, 2020, 36(11):82-85. DOI:10.13546/j.cnki.tjyjc.2020.11.017.
[12] Pu X J, Li X F.Multi-objective low-carbon MDVRP optimization research based on e-commerce delivery commitment mechanism[J]. Chinese Journal of Management Science, 2021, 29(8):57-66. DOI:10.16381/j.cnki.issn1003-207x.2019.0365.
[13] Feng Y, Feng Y C, Zhang J X, et al.Operational decision-making of fresh low-carbon supply chain considering carbon emissions in production and transportation[J].Journal of Systems & Management, 2024, 33(1):1-15.
[14] Liu Q, Fan X K.Research on low-carbon transformation path of logistics industry under carbon neutrality goal[J]. Journal of Commercial Economics, 2023, (8):80-84.
[15] Wang X H, Xie X.Mechanism and path of digital technology innovation leading green and low-carbon transformation in logistics industry: A case study of JD Logistics[J].Research on Economics and Management, 2024, 45(5):21-40. DOI:10.13502/j.cnki.issn1000-7636.2024.05.002.
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