T
Teng-Fei Wang
Researcher at United Nations Economic and Social Commission for Asia and the Pacific
Publications - 27
Citations - 2617
Teng-Fei Wang is an academic researcher from United Nations Economic and Social Commission for Asia and the Pacific. The author has contributed to research in topics: Data envelopment analysis & Container (abstract data type). The author has an hindex of 16, co-authored 26 publications receiving 2433 citations. Previous affiliations of Teng-Fei Wang include University of Plymouth & Hong Kong Polytechnic University.
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The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis
TL;DR: In this paper, the authors compared the performance of Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) on the same set of container port data for the world's largest container ports and compared the results obtained.
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An Application of DEA Windows Analysis to Container Port Production Efficiency
TL;DR: In this paper, the authors apply DEA windows analysis to a sample of the worlds major container ports in order to deduce their relative efficiency, concluding that existing programming methods for estimating efficiency are inadequate in capturing the long-term increased efficiency and competitiveness that accrue from significant investments.
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The relationship between privatization and DEA estimates of efficiency in the container port industry
TL;DR: In this paper, the authors present the pros and cons of port privatization and provide an empirical examination of the relationship between privatization and relative efficiency within the container port industry, concluding with the rejection of the hypothesis that greater private sector involvement in the container ports sector irrevocably leads to improved efficiency.
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The Efficiency of European Container Terminals and Implications for Supply Chain Management
Teng-Fei Wang,Kevin Cullinane +1 more
TL;DR: In this article, the efficiency and scale properties of 104 of Europe's container terminals with annual throughput of over 10,000 TEUs1 in 2003, distributed across 29 European countries, are derived using data envelopment analysis.
The application of mathematical programming approaches to estimating container port production.
TL;DR: The results give an insight into the current efficiency ranking of the world’s major container ports and terminals and confirm expectations that the available mathematical programming methodologies lead to different results and that appropriate variable definition of input and output factors is a crucial element in meaningful applications of DEA and FDH.