| 글로벌 공급망 압력이 Sea&Air 물동량에 미치는 영향에 관한 연구 |
|
정현주1, 김율성2, 심민섭3 |
1국립한국해양대학교 KMI-KMOU 학연협동과정 석사과정
2립한국해양대학교 물류시스템공학과 교수
3국립한국해양대학교 해양콘텐츠융복합협동과정 물류시스템전공 박사과정 |
| A Study on the Impact of Global Supply Chain Pressure on Sea&Air Freight |
|
Hyeon-Ju Jeong1, Yul-Seong Kim2, Min-Seop Sim3 |
1Researcher, KMI-KMOU Cooperation Course, National Korea Maritime and Ocean University, Busan 49112, Korea
2Professor, Logistics System Engineering, National Korea Maritime and Ocean University, Busan 49112, Korea
3Doctoral Researcher, Department of Convergence Interdisciplinary Education, National Korea Maritime and Ocean University, Busan 49112, Korea |
Correspondence:
Min-Seop Sim, Tel: 051)410-4890,
Email: tla6355@g.kmou.ac.kr
|
|
Received: 6 November 2024 • Revised: 21 November 2024 • Accepted: 4 December 2024 |
| Abstract |
|
Global supply chain management has become increasingly important in special circumstances, such as the Covid-19 pandemic and the U.S.-China trade dispute. Sea&Air intermodal transportation offers advantages of lower costs compared to air transportation and faster delivery than ocean transportation. To maintain stable Sea&Air intermodal operations in response to the uncertain global supply chain, it is essential to understand the impact of global supply chain pressures on Sea&Air volumes. This study analyzed the relationship between the global supply chain pressure index, port volume, air volume, and Sea&Air volume using vector autoregressive model analysis, impulse response function, and forecast error variance decomposition analysis, focusing on three main domestic ports (Incheon Port, Gunsan Port, and Pyeongtaek Port) as well as Incheon International Airport. The analysis revealed that Sea&Air volumes are more sensitive to global supply chain pressures compared to port volumes and air volumes. Based on these findings, various implications for domestic Sea&Air intermodal transportation have been identified. |
| Key Words:
global supply chain pressure index, incheon international airport, sea&air freight, intermodal transportation, vector autoregressive model, impulse response function |
|
PDF Links
Full text via DOI
Download Citation
