The International Competitive Relationships of Three Leading Countries in the Global Shipbuilding Industry
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South Korea, China, and Japan are three dominant countries in the global shipbuilding industry, and the competition between them has become more complex over time. The International Maritime Organization environmental regulations and the wave of Industry 4.0 have made the global shipbuilding industry more technology intensive than before. However, after the financial crisis of 2008, China’s labor-intensive strategy outperformed the technology-intensive competitive strategy adopted by Japan and South Korea, and China was ranked first with the largest market share. This study sets out to explore whether China’s labor-intensive strategy will remain superior to the technology-intensive one of Japan and South Korea. Specifically, we investigate how competitive relationships between the three countries changed after the 2008 global financial crisis. We also forecast how many ships each country will complete in through 2026. To analyze this dynamic competitive system, we use the three-dimensional Lotka-Volterra model, drawing on annual data reporting the number of ships built. The findings suggest that China has gained a competitive advantage over Japan since the 2008 global financial crisis, while South Korea has maintained a mutualistic relationship with both Japan and China. Our forecast suggests that China may lose its competitive advantage in the near future, if China does not embrace a more technology-intensive approach.
Abstract
South Korea, China, and Japan are three dominant countries in the global shipbuilding industry, and the competition between them has become more complex over time. The International Maritime Organization environmental regulations and the wave of Industry 4.0 have made the global shipbuilding industry more technology intensive than before. However, after the financial crisis of 2008, China’s labor-intensive strategy outperformed the technology-intensive competitive strategy adopted by Japan and South Korea, and China was ranked first with the largest market share. This study sets out to explore whether China’s labor-intensive strategy will remain superior to the technology-intensive one of Japan and South Korea. Specifically, we investigate how competitive relationships between the three countries changed after the 2008 global financial crisis. We also forecast how many ships each country will complete in through 2026. To analyze this dynamic competitive system, we use the three-dimensional Lotka-Volterra model, drawing on annual data reporting the number of ships built. The findings suggest that China has gained a competitive advantage over Japan since the 2008 global financial crisis, while South Korea has maintained a mutualistic relationship with both Japan and China. Our forecast suggests that China may lose its competitive advantage in the near future, if China does not embrace a more technology-intensive approach.
참고문헌 (26)
- Trends in and prospects for the shipbuilding industry, "Bank of Korea", Bank of Korea, ~ (2010)
- Bischi, G. I, "Three-dimensional discrete-time Lotka-Volterra models with an application to industrial clusters", Communications in Nonlinear Science and Numerical Simulation, 15(10), pp.3000~3014 (2010)
- Bhargava, S. C, "Generalized Lotka-Volterra equations and the mechanism of technological substitution", Technological Forecasting and Social Change, 35(4), pp.319~326 (1989)
- Chang, B. Y, "Performance comparison of two diffusion models in a saturated mobile phone market", Technological Forecasting and Social Change, 86(C), pp.41~48 (2014)
- Chiang, S-Y, "Competitive Diffusion of Personal Computer Shipments in Taiwan", Technological Forecasting and Social Change, 78(3), pp.526~535 (2011)
- Edelstein-Keshet, L, "Mathematical models in biology" (1988), Random House
- Goodwin, R. M, "Socialism, capitalism, and economic growth" (1967), Cambridge University Press
- Jiang, L, "The international competitiveness of China’s shipbuilding industry", Transportation Research: Part E, Logistics and Transportation Review, 60(C), pp.39~48 (2013)
- Karmeshu, Bhargava, S. C, "A rationale for law of technological substitution", Regional Science and Urban Economics, 15(1), pp.137~141 (1985)
- Kim, J, "A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model", Computers and Industrial Engineering, 51(1), pp.174~182 (2006)
- Competitiveness between Korea, China, Japan in the Shipbuilding Industry, "Korea Development Bank", Korea Development Bank, ~ (2018)
- Lakka, S, "Competitive dynamics in the operating systems market: Modeling and policy implications", Technological Forecasting and Social Change, 80(1), pp.88~105 (2013)
- Lee, S, "Technological forecasting at the Korean stock market:A dynamic competition analysis using Lotka–Volterra model", Technological Forecasting and Social Change, 72(8), pp.1044~1057 (2005)
- Leslie, P. H, "A stochastic model for studying the properties of certain biological systems by numerical methods", Biometrika, 45(1), pp.16~31 (1957)
- Lotka, A. J, "Elements of physical biology" (1925), Williams and Wilkens
- Marquardt, D, "An algorithm for least-squares estimation of nonlinear parameters", SIAM Journal on Applied Mathematics, 11(2), pp.431~441 (1963)
- Market failures and the design of innovation policy, "Martin, S", Working Group on Technology and Innovation Policy, Division of Science and Technology, Organisation of Economic Co-operation and Development, ~ (1998)
- Modis, T, "Technological forecasting at the stock market", Technological Forecasting and Social Change, 62(3), pp.173~202 (1999)
- Odum, E. P, "Fundamentals of ecology" (1953), W. B. Saunders Company
- 박정연, "The Origin and Evolution of the Crisis in the Offshore-Plant Industry in South Korea: Goal Ambiguity and Governmental Politics", Journal of Policy Studies, 32(1), pp.71~97 (2017), 서울대학교행정대학원
- Pires Jr., F, "Shipbuilding performance benchmarking", International Journal of Business Performance Management, 11(3), pp.216~235 (2009)
- Samuelson, P, "Generalized predator-prey oscillations in ecological economic equilibrium", Proceedings of the National Academy of Sciences, 68(5), pp.980~983 (1971)
- Samuelson, P, "A biological least-action principle for the ecological model of Volterra-Lotka", Proceedings of the National Academy of Sciences, 71(8), pp.3041~3044 (1974)
- Tsai, B. -H, "Cluster evolution of IC industry from Taiwan to China", Technological Forecasting and Social Change, 76(8), pp.1092~1104 (2009)
- Zhang, W, "Maritime cluster evolution based on symbiosis theory and the Lotka-Volterra model", Maritime Policy and Management, 40(2), pp.161~176 (2013)