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A Study on Productivity Factors of Chinese Container Terminals

  • Lu, Bo (Department of Distribution Management, TongMyong University) ;
  • Park, Nam-Kyu (School of Port and Logistics, TongMyong University)
  • 투고 : 2010.06.09
  • 심사 : 2010.09.17
  • 발행 : 2010.09.30

초록

The container port industry has been variously studied by many researchers, because the contemporary container transportation and container port industries play a pivotal role in globalization of the world economy. For container terminals, the productivity, affected by many factors, is an important target in measuring container terminal performance. Under this background, finding the critical factors affecting the productivity is necessary. Regression analysis can be used to identify which independent variables are related to the dependent variable, and explore the relationships of them. The aim of paper is to evaluate the factors affecting the productivity of Chinese major terminals by using a regression statistical analysis modeling approach, which is to establish the variable preprocessing model (VPM) and regression analysis model (RAM), by means of collecting the major Chinese container terminals data in the year of 2008.

키워드

참고문헌

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피인용 문헌

  1. Features Selection based on Fuzzy Entropy for Data Envelopment Analysis Applied to Transport Systems vol.3, 2014, https://doi.org/10.1016/j.trpro.2014.10.039
  2. Hierarchical Cluster Analysis on Competitiveness of Container Terminals in Northern Vietnam vol.40, pp.2, 2016, https://doi.org/10.5394/KINPR.2015.40.2.67