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Towards low‐carbon transition

Coordinating development and decarbonisation in rural logistics

Bibliographic Data

ID21652040
AuthorsXiaoyu Bian (0000-0003-3401-4710, School of Economics and Management Jiangsu University of Science and Technology Zhenjiang Jiangsu China, corresponding author), Jing Xu (0000-0001-7414-9383, Business School Jiangsu Modern Logistics Base Yangzhou University Yangzhou Jiangsu China)
Year2024
Volume41
Issue1
Pages173-206
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSystems Research and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1092-7026 • E-ISSN: 1099-1743
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sres.2944
OpenAlexW4324349358
LanguageEN
Citations received2
References cited46

Over the past decade, there is a growing global call for low carbon development. However, there is no adequate low‐carbon policies to address the trade‐off between rural logistics development and low‐carbon goals. Jiangsu is one of the pilot sites for most of China's policy reforms and has the potential to develop a low carbon transformation of rural logistics. Therefore, we provide an in‐depth analysis of the above trade‐offs from an industrial perspective by integrating the key features of rural logistics into a unified framework and modelling a rural logistics system dynamic model using rural logistics in Jiangsu as a case study. We compare the development trend of Jiangsu's rural logistics industry from 2021 to 2030 under the traditional development model, the green image policy, the fixed carbon policy and the fixed carbon tax rebate policy. The findings show that, first, in the absence of policy intervention, rural logistics in Jiangsu will not actively adopt any low‐carbon behaviour, which will lead to an inevitable rise in CO 2 . Second, the simulation results in fixed carbon policy show that the policies that impose excessive burdens on rural logistics are invalid rural logistics that need enough funds to develop their own supply capacity and carbon abatement capacity. Third, the green image policy is more advantageous in addressing the trade‐offs between rural logistics development and the low‐carbon transition, which not only avoids burdening rural logistics but also improves the supply capacity of rural logistics by increasing the demand for rural logistics. Finally, the government can implement the green image policy in the early stage and then introduce the carbon tax rebate policy in the middle stage to improve and increase the capacity of the rural logistics sector to embrace low carbon transition, which can help implement subsequently implement the carbon tax rebate policy

Business · China · Economics · Environmental economics · Industrial organization · Rural area · Environmental Impact and Sustainability · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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