The efficiency of European container ports: A cross-sectional data envelopment analysis
By Kevin P. B. Cullinane, Tengfei Wang. 2006
227 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/0de8d4b2412ac7eacc677f3a57a8d80ba9aafad4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Mark Goh
- Y. Wu
- P. Panayides
- Christos N. Maxoulis
- Koi Yu Adolf Ng
- Robert Stahlbock
- Stefan Voss
- Tengfei Wang
In Management Science and Operations Research
- Mark Goh
- Y. Wu
- Koi Yu Adolf Ng
- P. Panayides
- Christos N. Maxoulis
- Robert Stahlbock
- Stefan Voss
- Tengfei Wang
In Strategy and Management
- Mark Goh
- Y. Wu
- Robert Stahlbock
- Stefan Voss
- P. Panayides
- Christos N. Maxoulis
- Koi Yu Adolf Ng
- Tengfei Wang
Citations in the corpus
- Operations research at container terminals: a literature update (2007, background): “…shipping and port development as well as for aspects of competition and efficiency see, e.g., Ashar (2006); Cullinane et al. (2005, 2006a); Cullinane and Wang (2006); Notteboom (2006a,b); Notteboom and Winkelmans (2001); Notteboom (2004); Notteboom and Rodrigue (2005); Polo and Díaz…”
- Container port efficiency in emerging and more advanced markets (2010, methodology): “Cullinane et al. (2006) used SFA and DEA to evaluate 28 of the world’s most important international ports and the efficiency of their container terminals.”
- A Critical Analysis of DEA Applications to Seaport Economic Efficiency Measurement (2009, background): “The rationale was possibly due to the relative ease in data collection, the fact that it was regarded as a proxy to the need for cargo-related facilities and services and was the primary basis upon which container ports are compared, especially in assessing their relative size, investment magnitude ”