Sustainable Management of East Asia Airport Companies by Evaluating Airport Service Performance

Abstract

Purpose The main purpose of this research is to explore the efficiency changes of major airport companies in East Asia. Design/Methodology/Approach Different from the traditional DEA analysis, the Network Data Envelopment Analysis (NDEA) is conducted to evaluate the operational efficiency for sample airport companies in this research. In order to provide more precise guidance for relevant practitioners, this article also constructs the Dynamic Boston Consulting Group (BCG) Matrix model based on the results of NDEA results. Findings Firstly, the result revealed that a huge development of the East Asian aviation economy recently, but the growth rate has slowed down. Secondly, for the overall efficiency, none of these airports has achieved full DEA efficiency scores in the course of the study period. The top three airport companies are Hong Kong, Incheon and Narita. For aeronautical service efficiency, four companies Beijing, Shanghai, Shenzhen, and Incheon have full DEA efficiency scores. For commercial service efficiency only one company, Haneda, has achieved fullDEA efficiency scores. Finally, during the data period, four airport companies have extremely high development potential were discovered. Research Implications Based on the overall analysis and sub-process analysis, this research combined the two variables of NDEA results growth rate and passenger & cargo growth rate to construct a dynamic BCG model, in order to give a more intuitively changed status for practitioners in related fields.