Competitiveness prioritisation of container ports in Asia under the background of China’s Belt and Road initiative

Ren, Jingzheng; Dong, Liang; Sun, Lu

doi:10.1080/01441647.2018.1451407

Cited by 18 publications

(11 citation statements)

References 36 publications

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“…Nowadays, container ports serve a key role in achieving global logistics and supply chains. With the great opportunity of the Belt and Road Initiative (BRI), a Chinese grand economic plan launched in 2013, many countries invest a great number of resources into developing port terminals [1]. Accordingly, the construction of port facilities, the acceleration of port upgrading, the integration of green energy concepts, and so forth, are crucial for prompting port industry [2] and have been written into the Chinese 13th Five-Year Plan (FYP).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach

2019

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Container ports play an important role in international maritime trade. However, the rapid growth of the port and terminal industry has caused many environmental pollution problems. This paper intends to develop an inverse data envelopment analysis (IDEA) model for measuring container ports’ efficiency and analyzing their resource consumption by considering undesirable outputs. Statistical data from 16 main ports are empirically examined using the proposed method in accordance with the 13th Five-Year Plan in China. The results indicate that the proposed IDEA is a feasible approach for performance evaluation, and provides policymakers with insights into resource optimization of container ports. A comparative study with another DEA model is also discussed.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach

2019

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“…[4], [5]. The maritime network will be reorganized when the perspective of BRI comes as it is expected [29].…”

Section: The Belt and Road Initiativementioning

confidence: 99%

Vietnam’s Connectivity and Embeddedness in the Maritime Silk Road and Global Maritime Network

2019

IEEE Access

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Vietnam is one of the sixty-five countries in the belt and road (BR) initialized by China and especially an important player along the 21st century maritime silk road (MSR). Moreover, Vietnam faces the Pacific Ocean and possesses an intrinsic advantage of maritime transport. Based on a big data system of port and shipping, the Vietnam's connectivity with the MSR and thus the global maritime system is analyzed by visualization and network analyzing methods. The mutual significances between Vietnam maritime network and the MSR (except for Vietnam) are derived from the flows between them; primary flows and key maritime trading clusters are discovered. Considering the global maritime network, the Vietnam's embeddedness in MSR and the global maritime network are portrayed by network analysis. In the context of the belt and road initiative (BRI) proposed by China, the alignment of Vietnam to the MSR and the world is examined. In conclusion, Vietnam is along the MSR while plays globally.INDEX TERMS Marine transportation, logistics management, the belt and road initiative, big data, network theory, geographic information systems.ZHI-HUA HU was born in Ningxiang city, Hunan Province, China, in 1977. He received the Ph.D. degree in control science and engineering from Donghua University, China, in 2009. Before that, he had worked for about ten years as Software Developer and Project Manager with information technology industry.From 2009 to now, he was a Researcher with the Logistics Research Center, Shanghai Maritime University. Since 2014, he has been a Professor with management science and engineering. He is the author of more than 150 journal articles. His research interests include logistics operations optimization, big data system and management, artificial intelligence, and algorithms.

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“…Based on the existing researches, the input factors of container ports are mainly concerning the aspects of capital, goods and labor (Ren et al 2018 1x ), coastline ( 2x ), property ( 3x ), equipment asset ( 4x ), storeroom area ( 5x ), operating cost ( 6x ) and number of employee ( 7x ) are chosen as inputs, and two criteria of throughput ( 1 y ) and profit ( 2 y ) are chosen as outputs, which are shown in Table 1. The statistical data are collected from Lai et al(2018).…”

Section: Case Study 51 Problem and Calculationsmentioning

confidence: 99%

An Integrated Approach Using Cross-Efficiency and Shapley Value in Performance Evaluation

Yang¹,

Liu²,

Wang³

2019

ECECSR

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Ranking decision making units (DMUs) for performance evaluation is an important issue in data envelopment analysis (DEA). This paper develops an integrated approach for ranking DMUs in DEA cooperative game, where DMUs are evaluated according to their Shapley values. For this purpose, a new characteristic function with DMUs is firstly defined; then, both aggressive and benevolent model formulations, which corresponding to aggressive or benevolent strategy in cooperative game, are utilized to obtain cross-efficiency scores of DMUs. Subsequently, the Shapley values are calculated in terms of the cross-efficiency scores by a simple formulation. An empirical study concerning assessment of nine container ports in China is examined using the developed approach. Comparisons and analyses with previous similar methods are also discussed.

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Competitiveness prioritisation of container ports in Asia under the background of China’s Belt and Road initiative

Cited by 18 publications

References 36 publications

Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach

Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach

Vietnam’s Connectivity and Embeddedness in the Maritime Silk Road and Global Maritime Network

An Integrated Approach Using Cross-Efficiency and Shapley Value in Performance Evaluation

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