后疫情时代的海上贸易模式和货运指数研究:基于干散货市场自动识别系统(AIS)数据的证据

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2024-03-01 DOI:10.1016/j.ajsl.2023.09.002
Xingjian Wang, Wen Wang
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引用次数: 0

摘要

BDI 是海运贸易的晴雨表,海运贸易网络可以形象地反映贸易模式的演变。由于商业影响运费价格,因此值得考虑海运网络特征对运费的影响。首先,本文利用 AIS 数据构建了海运网络,并显示了大流行病发生后的干散货贸易趋势。这将有助于船东和非专业人士理解大流行后干散货海运贸易的演变。其次,本研究采用 PVAR 模型研究航运模式贸易与运费价格之间的联系。实证研究表明,船东应更多地关注港口联系,尤其是大流行病后几年海运网络中的重要港口。
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Study on the maritime trade pattern and freight index in the post-epidemic era: Evidence based on dry bulk market Auto-matic Identification System (AIS) data

The BDI is a barometer of maritime trade, and the shipping trade network may graphically reflect trade pattern evolution. Because commerce influences freight prices, it is worthwhile to consider the influence of maritime network characteristics on freight rates. To begin, this article constructs maritime networks using AIS data and displays the dry bulk trade trend in the period following the pandemic. This will assist shipowners and laypeople in comprehending the evolution of dry bulk maritime commerce in the post-pandemic age. Second, the PVAR model is implemented in this work to investigate the connection between the trade in shipping mode and freight prices. The empirical study demonstrated that shipowners ought to devote more attention to port linkages, particularly significant ports in the maritime network in the years following the pandemic.

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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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