Effects of Macroeconomic Conditions and External Shocks for Port Business: Forecasting Cargo Throughput of Busan Port Using ARIMA and VEC Models
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The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.
Abstract
The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.
참고문헌 (14)
- Box, G. E., "Intervention analysis with applications to economic and environmental problems", Journal of the American Statistical association, 70, pp.70~79 (1975)
- Box, G. E., "Time series analysis: forecasting and control" (2015), John Wiley & Sons
- 전찬영, "인공신경망모형의 항만물동량 예측 적용에 관한 연구", 해운물류연구, (53), pp.65~82 (2007), 한국해운물류학회[DOI]
- Chung, Roy C. P., "An ARIMA-intervention analysis model for the financial crisis in China’s 27 manufacturing industry", International Journal of Engineering Business Management, 1, pp.15~18 (2009)
- 정상국, "국제유가의 변화가 건화물선 운임에 미치는 영향과 건화물선 운임간의 상관관계에 관한 연구", 한국항만경제학회지, 27(2), pp.217~240 (2011), 한국항만경제학회
- Global Container Terminal Operators Annual Review and Forecast 2018, "Drewry", 7~16 (2021)
- Lai, Sue Ling, "Impact analysis of September 11 on air travel demand in the USA", Journal of Air Transport Management, 11(6), pp.455~458 (2005)
- 이성윤, "ARIMA와 VAR·VEC 모형에 의한 부산항 물동량 예측과 관련성연구", 한국항해항만학회지, 44(1), pp.44~52 (2020), 한국항해항만학회
- 이성윤, "VECM에 의한 BDI 예측과 영향요인에 관한 실증연구", 한국항해항만학회지, 42(6), pp.546~554 (2018), 한국항해항만학회[DOI]
- 김정훈, "시계열 모형을 이용한 광양항의 컨테이너 물동량 및 교통량 예측", 한국항해항만학회지, 32(6), pp.425~431 (2008), 한국항해항만학회
- 박성영, "신경망을 이용한 컨테이너 물동량 예측에 관한 연구", 한국항해항만학회지, 26(2), pp.183~188 (2002), 한국항해항만학회
- Park, S., "Port throughput forecasting using ARIMA and OLS regression: case study: Gwangyang port in Korea", pp.2021
- Rashed, Y., "Short-term forecast of container throughout: An ARIMA-intervention model for the port of Antwerp", Maritime Economics & Logistics, 19(4), pp.749~764 (2017)
- 신창훈, "하이브리드 ARIMA-신경망 모델을 통한 컨테이너물동량 예측에 관한 연구", 한국항해항만학회지, 32(2), pp.81~88 (2008), 한국항해항만학회