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Carbon dioxide emissions from port container distribution: spatial characteristics and driving factors


Wang, L and Peng, C and Shi, W and Zhu, M, Carbon dioxide emissions from port container distribution: spatial characteristics and driving factors, Transportation Research. Part D: Transport and Environment, 82 Article 102318. ISSN 1361-9209 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 Elsevier Ltd.

DOI: doi:10.1016/j.trd.2020.102318


Port carbon dioxide (CO2) emissions in China have become an ever-increasing public concern due to their significant impacts on human health and the environment. However, existing studies focus mainly on CO2 emissions from vessels calling at the ports and cargo handling within the ports, paying little attention to the inland distribution networks. To fill this gap, this paper proposes an easily implemented method for calculating CO2 emissions from port container distribution (PCD) and investigates their spatial characteristics and driving factors. By analyzing 30 container ports in China, the main findings are as follows. First, road transportation is the major contributor of CO2 emissions from PCD due to the lack of rail and inland water transportation. Second, PCD carbon emissions exhibit significant local spatial clustering. That is, ports with similar geographical locations tend to present a similar pattern of PCD carbon emissions. Third, as suggested by the spatial Durbin model, PCD carbon emissions are negatively determined by local gross domestic product, number of port berths, but are positively determined by local tertiary industry value and highway freight volume, and waterway freight volume in both local and neighboring ports. These results provide empirical insights into cross-port collaboration in reducing PCD carbon emissions.

Item Details

Item Type:Refereed Article
Keywords:port carbon emissions, container distribution facilities, local Moranís I, spatial Durbin model, green port
Research Division:Commerce, Management, Tourism and Services
Research Group:Transportation, logistics and supply chains
Research Field:Road transportation and freight services
Objective Division:Transport
Objective Group:Water transport
Objective Field:Coastal sea freight transport
UTAS Author:Shi, W (Dr Wenming Shi)
ID Code:137955
Year Published:2020
Web of Science® Times Cited:15
Deposited By:Maritime and Logistics Management
Deposited On:2020-03-17
Last Modified:2020-04-30

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