Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis
By Kevin P. B. Cullinane, Dong-Wook Song. 2006
150 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/0cbbe03646f2beaba03d21cccd8183663d4b5e9c
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In Industrial and Manufacturing Engineering
In Management Science and Operations Research
In Strategy and Management
Citations in the corpus
- Environmental efficiency analysis of transportation system in China:A non-radial DEA approach (2013, unknown): “Other approaches for measuring productivity/efficiency are the Stochastic Frontier Analysis (Cullinane and Song, 2006; Cook and Seiford, 2009) and Free Disposal Hull Model (Cook and Seiford, 2009) but these approaches have not yet incorporated undesirable outputs into the models.”
- Environmental efficiency of ports: a Data Envelopment Analysis approach (2013, background): “The literature shows that inefficiency is often caused by size effect (Song and Gray 2002, 743–762; Cullinane and Song 2006, 85–115; Cullinane) and port governance structure even though the governance structure shows mixed conclusion (Cullinane, Ji, and Wang 2005, 433–462; Tongzon and Heng 2005,…”
- Environmental efficiency assessment of U.S. transport sector: A slack-based data envelopment analysis approach (2016, unknown): “Other approaches include stochastic frontier analysis (Cullinane and Song, 2006; Cook and Seiford, 2009) and the free disposal hull model (Cook and Seiford, 2009), but these methods are limited to measuring productivity and efficiency and are typically complicated for modeling undesirable outputs.”