TY - JOUR
T1 - A robust ranking of maritime connectivity
T2 - revisiting UNCTAD’s liner shipping connectivity index (LSCI)
AU - Mishra, Vikas Kumar
AU - Dutta, Bapi
AU - Goh, Mark
AU - Figueira, José Rui
AU - Greco, Salvatore
N1 - Funding Information:
Acknowledgements V.K.M. thanks Dr. Jan Hoffmann, Chief of UNCTAD’s Trade Logistics Branch for providing the necessary data to carry out this research and for several fruitful discussions during the preparation of this article. The authors would like to thank the anonymous reviewers, Editor Dr. Hoffmann, and Editor in Chief Prof. Haralambides for their constructive comments that led to improvements in the quality and presentation of the paper. JRF acknowledges the support from the FCT grant SFRH/ BSAB/139892/2018 under the POCH Program. VKM acknowledges the support from the Fond for Scientific Research Vlaanderen (FWO) projects G028015N and G090117N and the FNRS-FWO under Excellence of Science (EOS) project no. 30468160 “Structured low-rank matrix/tensor approximation: numerical optimization-based algorithms and applications”.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited part of Springer Nature.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - Maritime connectivity is becoming increasingly important due to its inextricable relation to maritime trade, especially in the global economy. This paper presents a robust framework to rank countries on their maritime connectivity. Typically, in most index creation models, the arithmetic mean is used to build a composite index. In this paper, we propose a more reliable ranking approach, by applying the method of stochastic multicriteria acceptability analysis (SMAA). In this, we take into account the variability in the weights assigned to the connectivity factors, thus producing a probabilistic ranking for each country (i.e., the probability to achieve a certain rank). UNCTAD’s ranking, based simply on the arithmetic mean, where all the weights are equal, becomes a special case of our approach. Our results show that China achieves the highest level of connectivity, followed by Singapore.
AB - Maritime connectivity is becoming increasingly important due to its inextricable relation to maritime trade, especially in the global economy. This paper presents a robust framework to rank countries on their maritime connectivity. Typically, in most index creation models, the arithmetic mean is used to build a composite index. In this paper, we propose a more reliable ranking approach, by applying the method of stochastic multicriteria acceptability analysis (SMAA). In this, we take into account the variability in the weights assigned to the connectivity factors, thus producing a probabilistic ranking for each country (i.e., the probability to achieve a certain rank). UNCTAD’s ranking, based simply on the arithmetic mean, where all the weights are equal, becomes a special case of our approach. Our results show that China achieves the highest level of connectivity, followed by Singapore.
KW - Composite index
KW - Liner shipping connectivity index
KW - Maritime connectivity
KW - Stochastic multicriteria acceptability analysis (SMAA)
UR - http://www.scopus.com/inward/record.url?scp=85100725990&partnerID=8YFLogxK
U2 - 10.1057/s41278-021-00185-8
DO - 10.1057/s41278-021-00185-8
M3 - Article
AN - SCOPUS:85100725990
VL - 23
SP - 424
EP - 443
JO - Maritime Economics and Logistics
JF - Maritime Economics and Logistics
SN - 1479-2931
IS - 3
ER -