시계열 데이터를 활용한 항공 화물 물동량 영향 요인에 관한 연구

• 영문명: A Study on the Factors Affecting Air Cargo Volume Using Time Series Data : Focusing on Incheon-Shanghai, Guangzhou, Tianjin, and Beijing
• 발행기관: 한국산업경영시스템학회
• 저자명: 신승연(Seung-Youn Sin) 문승진(Seung-Jin Moon) 박인무(In-Mu Park) 안정민(Jeong-Min Ahn) 한용희(Yong-Hee Han)
• 간행물 정보: 『산업경영시스템학회지』제43권 제4호, 15~22쪽, 전체 8쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2020.12.30

영문 초록

Economic indicators are a factor that affects air cargo volume. This study analyzes the different factors affecting air cargo volume by each Chinese cities according to the main characteristics. The purpose of this study is to help companies related to China, airlines, and other stakeholders predict and prepare for the fluctuations in air cargo volume and make optimal decisions. To this end, 20 economic data were used, and the entire data was reduced to 5 dimensions through factor analysis to build a dataset necessary and evaluated the influencing factors by multi regression. The result shows that Macro-Economic Indicators, Production/Service indicators are significant for every cities and Chinese manufacture/Customer indicators, Korean manufacture/Oil Price indicators, Trade/Current indicators are significant for each other city. All adjusted R2 values are high enough to explain our model and the result showed excellent performance in terms of analyzing the different factors which affects air cargo volume. If companies that are currently doing business with China can identify factors affecting China s cargo volume, they can be flexible in response to changes in plans such as plans to enter China, production plans and inventory management, and marketing strategies, which can be of great help in terms of corporate operations.

목차

1. 서 론

2. 선행 연구

3. 연구 방법

4. 연구 결과

5. 결 론

References

키워드

Principal Component Analysis Factor Analysis Multi Regression Analysis Air Cargo Volume Time Series Data