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dc.contributor.authorAnuphak Saosaovaphaken_US
dc.contributor.authorChukiat Chaiboonsrien_US
dc.contributor.authorSatawat Wannapanen_US
dc.description.abstract© 2020, Springer Nature Switzerland AG. The huge challenge for measuring and forecasting port efficiencies was one of the major concerns in logistics economics. This paper was aimed to deeply study the univariate calculation for the technical efficiency ratio in six major ports in Thailand, Singapore, Malaysia, and the Philippines. The annual time-series data from 2005 to 2018 was observed, including container flows, numbers of vessel arrivals, transshipments, the ranges of quay lengths, and the units of functional terminals. Observed data were categorized to be a panel. Two econometric methods such as Bootstrapping Panel Data Envelopment Analysis (BPDEA) and Bayesian Structural Time-Series Forecasting model (BSTSF) were applied for clarifying and predicting ports’ bias-corrected technical efficiency ratio. The findings were used to recommend a specific policy for the uniqueness of port locational bearings.en_US
dc.subjectComputer Scienceen_US
dc.titleEvaluation and Forecasting of Functional Port Technical Efficiency in ASEAN-4en_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume12482 LNAIen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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