Exploring the Performance of International Airports in the Pre- and Post-COVID-19 Era: Evidence from Incheon International Airport

Mehdi Shamohammadi, Yonghwa Park, Jong Hae Choi and Oh Kyoung Kwon
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Mehdi Shamohammadi: Graduate School of Logistics, Inha University, 100 Inha-ro, Incheon 22212, Korea
Yonghwa Park: Graduate School of Logistics, Inha University, 100 Inha-ro, Incheon 22212, Korea
Jong Hae Choi: Graduate School of Logistics, Inha University, 100 Inha-ro, Incheon 22212, Korea
Oh Kyoung Kwon: Graduate School of Logistics, Inha University, 100 Inha-ro, Incheon 22212, Korea

Sustainability, 2022, vol. 14, issue 7, 1-22

Abstract: Considering the socio-economic importance of Incheon International Airport, this study explored the changes in its aeronautical and non-aeronautical efficiency between 2001 and 2021. The study was conducted to measure and observe the changes in efficiency during the pre- and post-pandemic era of COVID-19. We employed a two-stage analytical approach to obtain the results using a set of desirable and undesirable variables. For the first stage, we employed a novel network data envelopment analysis–window analysis model to find the efficiency measures; for the second stage, we applied the Tobit regression analysis to observe the impact of some control variables on efficiency levels. The empirical results from the efficiency analysis stage revealed that, although the pandemic negatively affected the efficiency of this airport, the gain from appropriate strategies mitigated the excessive efficiency decline. Moreover, aeronautical activities showed better efficiency than non-aeronautical activities during the study period. In addition, further investigation of the second-stage analysis implied that an outbreak of pandemic diseases such as COVID-19 would dramatically impact international hubs such as Incheon International Airport; however, focusing on the import and export activities, in addition to increasing the connectivity with other airports, would improve the efficiency.

Keywords: Incheon International Airport; efficiency; network data envelopment analysis–window analysis; network data envelopment analysis; two-stage analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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