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Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes

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  • Yu, Hongchu
  • Fang, Zhixiang
  • Lu, Feng
  • Murray, Alan T.
  • Zhang, Hengcai
  • Peng, Peng
  • Mei, Qiang
  • Chen, Jinhai

Abstract

Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. The reported research examines whether there are linkages between oil price fluctuations, maritime network structure and traffic flow changes, and investigates whether tanker maritime network structure and traffic flow changes are driven by oil price fluctuations. This is essential knowledge for developing strategies energy policies. To address this, a systems-based approach is introduced to construct a maritime transportation network based on trajectory data. The maritime network structure and traffic flow changes are derived from monthly transport. Supporting methods were then used to reveal two-way linkages, long-term balance relationships and shock responses attributable to oil price fluctuations, the maritime network structure and traffic flow changes. Evidence suggests that there are different two-way linkages between oil price fluctuations, maritime network structure and traffic flow changes in oil import- dependent and export-dependent countries. International crude oil price fluctuations contribute to maritime network structure changes for many of the countries examined, and showed rapid growth peaks in the second or third month. Our results have important policy implications for national tanker transportation strategies within the context of oil price fluctuations, suggesting diversification of import origins and export destinations as well as adjustment of shipping mode to cope with the supply shocks caused by oil price fluctuations.

Suggested Citation

  • Yu, Hongchu & Fang, Zhixiang & Lu, Feng & Murray, Alan T. & Zhang, Hengcai & Peng, Peng & Mei, Qiang & Chen, Jinhai, 2019. "Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes," Applied Energy, Elsevier, vol. 237(C), pages 390-403.
  • Handle: RePEc:eee:appene:v:237:y:2019:i:c:p:390-403
    DOI: 10.1016/j.apenergy.2019.01.011
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    as
    1. Kristjanpoller, Werner D. & Concha, Diego, 2016. "Impact of fuel price fluctuations on airline stock returns," Applied Energy, Elsevier, vol. 178(C), pages 496-504.
    2. Anthony N. Rezitis, 2015. "The relationship between agricultural commodity prices, crude oil prices and US dollar exchange rates: a panel VAR approach and causality analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 403-434, May.
    3. Lorusso, Marco & Pieroni, Luca, 2018. "Causes and consequences of oil price shocks on the UK economy," Economic Modelling, Elsevier, vol. 72(C), pages 223-236.
    4. Lutz Kilian, 2016. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 185-205.
    5. Chiroma, Haruna & Abdulkareem, Sameem & Herawan, Tutut, 2015. "Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction," Applied Energy, Elsevier, vol. 142(C), pages 266-273.
    6. Ji, Qiang & Geng, Jiang-Bo & Fan, Ying, 2014. "Separated influence of crude oil prices on regional natural gas import prices," Energy Policy, Elsevier, vol. 70(C), pages 96-105.
    7. Hongchu Yu & Zhixiang Fang & Guojun Peng & Mingxiang Feng, 2017. "Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    8. Wilmsmeier, Gordon & Monios, Jason & Pérez-Salas, Gabriel, 2014. "Port system evolution – the case of Latin America and the Caribbean," Journal of Transport Geography, Elsevier, vol. 39(C), pages 208-221.
    9. Annastiina Silvennoinen & Susan Thorp, 2016. "Crude Oil and Agricultural Futures: An Analysis of Correlation Dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(6), pages 522-544, June.
    10. Liwei Fan & Huiping Li, 2015. "Volatility analysis and forecasting models of crude oil prices: a review," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 5-17.
    11. Maslyuk, Svetlana & Smyth, Russell, 2008. "Unit root properties of crude oil spot and futures prices," Energy Policy, Elsevier, vol. 36(7), pages 2591-2600, July.
    12. Ding, Zhihua & Liu, Zhenhua & Zhang, Yuejun & Long, Ruyin, 2017. "The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment," Applied Energy, Elsevier, vol. 187(C), pages 27-36.
    13. Zhang, Yue-Jun & Zhang, Lu, 2015. "Interpreting the crude oil price movements: Evidence from the Markov regime switching model," Applied Energy, Elsevier, vol. 143(C), pages 96-109.
    14. César Ducruet & Liehui Wang, 2018. "China’s Global Shipping Connectivity: Internal and External Dynamics in the Contemporary Era (1890–2016)," Post-Print halshs-01832319, HAL.
    15. Brahmasrene, Tantatape & Huang, Jui-Chi & Sissoko, Yaya, 2014. "Crude oil prices and exchange rates: Causality, variance decomposition and impulse response," Energy Economics, Elsevier, vol. 44(C), pages 407-412.
    16. Cuestas, Juan Carlos & Gil-Alana, Luis A., 2018. "Oil price shocks and unemployment in Central and Eastern Europe," Economic Systems, Elsevier, vol. 42(1), pages 164-173.
    17. César Ducruet & Theo Notteboom, 2012. "The worldwide maritime network of container shipping : Spatial structure and regional dynamics," Post-Print hal-03246962, HAL.
    18. Monios, Jason & Wilmsmeier, Gordon, 2012. "Giving a direction to port regionalisation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1551-1561.
    19. Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
    20. Arrow, Kenneth J. & Chang, Sheldon, 1982. "Optimal pricing, use, and exploration of uncertain natural resource stocks," Journal of Environmental Economics and Management, Elsevier, vol. 9(1), pages 1-10, March.
    21. Dutta, Anupam & Nikkinen, Jussi & Rothovius, Timo, 2017. "Impact of oil price uncertainty on Middle East and African stock markets," Energy, Elsevier, vol. 123(C), pages 189-197.
    22. Cologni, Alessandro & Manera, Matteo, 2008. "Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries," Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
    23. Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
    24. Ioannidis, Christos & Ka, Kook, 2018. "The impact of oil price shocks on the term structure of interest rates," Energy Economics, Elsevier, vol. 72(C), pages 601-620.
    25. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    26. O. Woolley-Meza & C. Thiemann & D. Grady & J. Lee & H. Seebens & B. Blasius & D. Brockmann, 2011. "Complexity in human transportation networks: a comparative analysis of worldwide air transportation and global cargo-ship movements," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 589-600, December.
    27. César Ducruet & Chengjin Wang, 2018. "China’s global shipping connectivity : internal and external dynamics in the contemporary era (1890–2016)," Post-Print hal-03246918, HAL.
    28. Simone Caschili & Francesca Medda & Francesco Parola & Claudio Ferrari, 2014. "An Analysis of Shipping Agreements: The Cooperative Container Network," Networks and Spatial Economics, Springer, vol. 14(3), pages 357-377, December.
    29. Nazlioglu, Saban & Lebe, Fuat & Kayhan, Selim, 2011. "Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis," Energy Policy, Elsevier, vol. 39(10), pages 6615-6621, October.
    30. Safari, Ali & Davallou, Maryam, 2018. "Oil price forecasting using a hybrid model," Energy, Elsevier, vol. 148(C), pages 49-58.
    31. Murat, Atilim & Tokat, Ekin, 2009. "Forecasting oil price movements with crack spread futures," Energy Economics, Elsevier, vol. 31(1), pages 85-90, January.
    32. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    33. González Laxe, Fernando & Jesus Freire Seoane, Maria & Pais Montes, Carlos, 2012. "Maritime degree, centrality and vulnerability: port hierarchies and emerging areas in containerized transport (2008–2010)," Journal of Transport Geography, Elsevier, vol. 24(C), pages 33-44.
    34. van Eyden, Reneé & Difeto, Mamothoana & Gupta, Rangan & Wohar, Mark E., 2019. "Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data," Applied Energy, Elsevier, vol. 233, pages 612-621.
    35. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    36. Calatayud, Agustina & Mangan, John & Palacin, Roberto, 2017. "Connectivity to international markets: A multi-layered network approach," Journal of Transport Geography, Elsevier, vol. 61(C), pages 61-71.
    37. Ghosh, Sajal, 2011. "Examining crude oil price - Exchange rate nexus for India during the period of extreme oil price volatility," Applied Energy, Elsevier, vol. 88(5), pages 1886-1889, May.
    38. Huang, Lili & Wang, Jun, 2018. "Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network," Energy, Elsevier, vol. 151(C), pages 875-888.
    39. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2017. "Do oil price asymmetric effects on the stock market persist in multiple time horizons?," Applied Energy, Elsevier, vol. 185(P2), pages 1799-1808.
    40. Dongping Song * & Jie Zhang & Jonathan Carter & Tony Field & James Marshall & John Polak & Kimberly Schumacher & Proshun Sinha-Ray & John Woods, 2005. "On cost-efficiency of the global container shipping network," Maritime Policy & Management, Taylor & Francis Journals, vol. 32(1), pages 15-30, January.
    41. Tavasszy, Lóránt & Minderhoud, Michiel & Perrin, Jean-François & Notteboom, Theo, 2011. "A strategic network choice model for global container flows: specification, estimation and application," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1163-1172.
    42. Huang, Shupei & An, Haizhong & Huang, Xuan & Jia, Xiaoliang, 2018. "Co-movement of coherence between oil prices and the stock market from the joint time-frequency perspective," Applied Energy, Elsevier, vol. 221(C), pages 122-130.
    43. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    44. Chengliang Liu & Jiaqi Wang & Hong Zhang, 2018. "Spatial heterogeneity of ports in the global maritime network detected by weighted ego network analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(1), pages 89-104, January.
    45. repec:ipg:wpaper:2014-569 is not listed on IDEAS
    46. Xu, Mengqiao & Li, Zhenfu & Shi, Yanlei & Zhang, Xiaoling & Jiang, Shufei, 2015. "Evolution of regional inequality in the global shipping network," Journal of Transport Geography, Elsevier, vol. 44(C), pages 1-12.
    47. César Ducruet, 2013. "Network diversity and maritime flows," Post-Print halshs-00815731, HAL.
    48. Ducruet, César, 2017. "Multilayer dynamics of complex spatial networks: The case of global maritime flows (1977–2008)," Journal of Transport Geography, Elsevier, vol. 60(C), pages 47-58.
    49. César Ducruet, 2013. "Network diversity and maritime flows," Post-Print hal-03246957, HAL.
    50. Ducruet, César & Rozenblat, Céline & Zaidi, Faraz, 2010. "Ports in multi-level maritime networks: evidence from the Atlantic (1996–2006)," Journal of Transport Geography, Elsevier, vol. 18(4), pages 508-518.
    51. Zhu, Hui-Ming & Li, Rong & Li, Sufang, 2014. "Modelling dynamic dependence between crude oil prices and Asia-Pacific stock market returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 208-223.
    52. Wang, Minggang & Tian, Lixin & Du, Ruijin, 2016. "Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach," Applied Energy, Elsevier, vol. 180(C), pages 779-791.
    53. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    54. Zhang, Jin-Liang & Zhang, Yue-Jun & Zhang, Lu, 2015. "A novel hybrid method for crude oil price forecasting," Energy Economics, Elsevier, vol. 49(C), pages 649-659.
    55. Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
    56. Polanco Martínez, Josué M. & Abadie, Luis M. & Fernández-Macho, J., 2018. "A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices," Applied Energy, Elsevier, vol. 228(C), pages 1550-1560.
    57. Chen, Yanhui & Zhang, Chuan & He, Kaijian & Zheng, Aibing, 2018. "Multi-step-ahead crude oil price forecasting using a hybrid grey wave model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 98-110.
    58. Esmaeili, Abdoulkarim & Shokoohi, Zainab, 2011. "Assessing the effect of oil price on world food prices: Application of principal component analysis," Energy Policy, Elsevier, vol. 39(2), pages 1022-1025, February.
    59. Ghosh, Sajal & Kanjilal, Kakali, 2016. "Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests," Energy Economics, Elsevier, vol. 53(C), pages 111-117.
    60. Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Energy Policy, Elsevier, vol. 65(C), pages 567-573.
    61. Wenming Shi & Zhongzhi Yang & Kevin X. Li, 2013. "The impact of crude oil price on the tanker market," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(4), pages 309-322, July.
    62. Yanni Huang & Taha Hossein Rashidi & Lauren Gardner, 2018. "Modelling the global maritime container network," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 400-420, September.
    63. Jiang, Jianlin & Lee, Loo Hay & Chew, Ek Peng & Gan, Chee Chun, 2015. "Port connectivity study: An analysis framework from a global container liner shipping network perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 47-64.
    64. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    65. César Ducruet & Theo E. Notteboom, 2012. "The worldwide maritime network of container shipping: Spatial structure and regional dynamics," Post-Print halshs-00538051, HAL.
    66. Hou, Aijun & Suardi, Sandy, 2012. "A nonparametric GARCH model of crude oil price return volatility," Energy Economics, Elsevier, vol. 34(2), pages 618-626.
    67. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.
    68. Maslyuk, Svetlana & Smyth, Russell, 2009. "Cointegration between oil spot and future prices of the same and different grades in the presence of structural change," Energy Policy, Elsevier, vol. 37(5), pages 1687-1693, May.
    69. Jason Monios & Gordon Wilmsmeier, 2012. "Port-centric logistics, dry ports and offshore logistics hubs: strategies to overcome double peripherality?," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(2), pages 207-226, March.
    70. Ducruet, César, 2013. "Network diversity and maritime flows," Journal of Transport Geography, Elsevier, vol. 30(C), pages 77-88.
    71. Marco Fugazza & Jan Hoffmann, 2017. "Liner shipping connectivity as determinant of trade," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-18, December.
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