• Title/Summary/Keyword: Shanghai and Ningbo-Zhoushan ports

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Analysis on the Game of Co-opetition of ports in the China Yangtze Delta -Taking Shanghai port and Ningbo-Zhoushan port as an example

  • Shao, Yan-Bo
    • Journal of Navigation and Port Research
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    • v.36 no.2
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    • pp.123-129
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    • 2012
  • Due to rapid growth of economy in the world, which results into shipping goods flow one place to another in large volumes, the competition becoming more intense among ports. Shanghai port and Ningbo-Zhoushan port are the two most important ports in the Yangtze River Delta and have the same economic hinterland, inevitably there is a heated competition between the two ports. This paper using the approach of SWOT to analyze the issue of competition and cooperation between the two ports, and then makes an analysis of their Co-opetition strategies by employing the analyzing methods based on the Game theory. Finally, it puts forward some strategies to enhance the cooperation between the two ports.

A study on competition of hinterland in Zhejiang Province between Shanghai Port and Ningbo Port

  • Li, Jia-Bin;Lee, Su-Ho
    • Journal of Navigation and Port Research
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    • v.34 no.7
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    • pp.567-575
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    • 2010
  • Ningbo Port develops quickly in recent years and with the combination of Ningbo Port and Zhoushan Port, it becomes another important port in the Shanghai International Shipping center. Competition between the two biggest ports in this area can't be avoided. The goal of this paper is investigating the competence of port from two angles, which are spatial structure of the ports cluster and neighboring ports' attraction to cargoes at conjunct hinterlands. The paper firstly uses the HHI index model and shift-share method to qualitatively and quantitatively analyze the data of container throughputs of ports in the shipping center, in order that investigates the spatial structure of ports cluster. Basing on above researches, the paper employs the location quotient to study Shanghai port and Ningbo port's hinterland distributions at Zhejiang province. The conclusion of this study:(I)the ports cluster of the Shanghai International Shipping Center is highly centralized, and undergoes a porcess of first centralization then decentralization since the mid of 90s, last century. (2)Hinterlands of Shanghai port includes: Hangzhou, Jiaxing, Huzhou and Quzhou districts; Hinterlands of Ningbo port includes: Ningbo, Taizhou and Zhoushan districts.

Modeling and analysis the competition dynamics among container transshipment ports: in case of East-Asian ports

  • Abdulaziz, Ashurov;Park, Nam-Gi;Kim, Jae-Bong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.121-123
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    • 2016
  • This paper studies the competitiveness and complementary among the major container ports in East Asia by analyzing their extensive and intensive dynamics in recent 8 years (2008-2015). Time series data on container throughput dividing into O-D and transshipment for the ports of Hong Kong, Kaohsiung, Shanghai, Busan, Ningbo-Zhoushan, and Shenzhen are calculated based on VAR and VECM model.

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Evaluation of the operational efficiency of major coastal ports in China based on the PCA-DEA model (PCA-DEA 모델을 기반으로 한 중국 주요연안 항만의 운영 효율성 평가)

  • Haiqing Zhang;Hyangsook Lee
    • Journal of Korea Port Economic Association
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    • v.40 no.1
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    • pp.87-118
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    • 2024
  • Coastal ports play an essential role in developing a country and a city. Port efficiency is an important factor affecting port trade, and the importance of port efficiency for port performance has been recognized in previous literature. DEA (Data Envelopment Analysis) and SFA (Stochastic Frontier Analysis) are widely used in this field of research. However, these two methods are limited in selecting input and output variables. In addition, the literature studies on Chinese coastal ports mainly focus on the study of port clusters in local areas, which lacks a holistic approach and generally lacks up-to-date data. Therefore, to fill the gap in this area of research, this paper introduces a model combining principal component analysis and data envelopment analysis to analyze the operational efficiency of the top 17 coastal ports in China in terms of throughput based on the most recent data available in 2021. This paper identifies container throughput as the output variable, and 13 second indicators are selected as input variables from four primary indicators: land, capital, labor, and infrastructure. Four principal components were selected from 13 second indicators using PCA.After that, DEA (BBC) and DEA (CCR) were used to analyze the 17 ports, among which five were Shanghai, Ningbo-Zhoushan, Guangzhou, Xiamen, and Dongguan, respectively, DEA efficient, and the remaining 12 ports were non-DEA efficient. Finally, improvement directions for each port are derived, and brief suggestions are made. This paper provides some reference value for developing and constructing coastal ports in China.