交通运输工程

基于系统动力学的干散货航运市场影响因素研究

  • 唐丽敏 ,
  • 张梦瑶 ,
  • 王盼
展开
  • (大连海事大学  交通运输工程学院,辽宁  大连  116026)
唐丽敏(1963-),女,博士,教授,E-mail:tlmin@dlmu.edu.cn.

收稿日期: 2017-09-04

  修回日期: 2017-11-17

  网络出版日期: 2017-11-17

Study of dry bulk shipping market influence factors based on system dynamics

  • TANG Li-min ,
  • ZHANG Meng-yao ,
  • WANG Pan
Expand
  • Transportation Engineering College, Dalian Maritime University, Dalian 116026,China)

Received date: 2017-09-04

  Revised date: 2017-11-17

  Online published: 2017-11-17

摘要

为探索干散货航运市场的运行机制及演变规律,对其影响因素进行深入剖析,定量地引入船东心理、投资导向型订单、航运衍生品市场等因素,构建干散货航运市场系统动力学模型并进行模拟分析.结果显示:世界贸易及“中国因素”是航运需求的主要影响因素;航运供给的主要影响因素包括船舶拆解、投资导向型订单、新造船交付比例.除此之外,FFA交易量与BDI指数波动密切相关;2009年之后,燃油成本已不是BDI指数的影响因素.据此,提出以下建议:市场低迷时,政府可适当增加拆船补贴,刺激老旧船舶更新;船东可协商船厂适当延迟船舶交付以降低供给侧的增速;船东与投资人应减少投机行为,理性投资.

本文引用格式

唐丽敏 , 张梦瑶 , 王盼 . 基于系统动力学的干散货航运市场影响因素研究[J]. 大连海事大学学报, 2018 , 44(2) : 95 -103 . DOI: 10.16411/j.cnki.issn1006-7736.2018.02.015

Abstract

To explore the operation mechanism and evolution rules of the dry bulk shipping market, the factors affecting the dry bulk cargo shipping market were deeply analyzed. The ship owner psychology, investment oriented shipbuilding order, shipping derivatives market were quantitatively introduced to build the dry bulk shipping market system dynamics model, and simulation analysis was carried out. Results show that world trade and China factor constitute two main influence factors of shipping demand, and the main influence factors of shipping supply were ship demolition, investment oriented shipbuilding order and shipbuilding delivery ratio. In addition, FFA trade volume was closely related to the BDI index fluctuation, and the fuel cost has no been an influence factor of BDI after 2009. Thus, the following suggestions have been proposed: during the sluggish market, the government can appropriately increase ship demolition subsidies to encourage ship renewal, the ship owners can negotiate with the shipyard to appropriately delay the ship delivery to reduce the growth rate of supply side, and ship owners and investors should reduce speculation behavior and invest rationally. 

参考文献

[1] Manolis G.Kavussanos, Amir H.Aizadeh-M. Seasonality Patterns in Dry Bulk Shipping Spot and time Charter Freight Rates[J].Transportation Research,2001:443-467.
[2] Alizadeh, Amir H. Trading volume and volatility in the shipping forward freight market[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,2013(1):250-265.
[3] 丁妍,严广乐.中国GDP指数对BDI指数的吸引力研究[J].上海理工大学学报,2015,(02):199-204.
DING Yan, YAN Wen-le. Empirical research on the attraction force of China’s GDP across BDI[J]. J.University of Shanghai for Science and Technology, 2015,(02):199-204.
[4] 郝玉柱,张莲. 国际原油价格波动对波罗的海指数影响实证分析[J]. 商业经济研究,2016,(06):25-28.
HAO Yu-zhu, ZHANG Lian. Empirical analysis of international crude oil price fluctuations on the Baltic index[J]. Journal of Commercial Economics, 2016,(06):25-28.
[5] Milojka Po?u?a,Marina Zanne. The impact of global economic crisis on the dry bulk shipping industry [J]. Scientific Journal of Maritime Research,2009,23(2):.
[6] 张永锋,赵刚,陈继红.干散货运价指数与钢材价格的联动关系[J].上海海事大学学报,2016,(02):53-58.
ZHANG Yong-feng, ZHAO Gang, CHEN Ji-hong.Co-movement between dry bulk freight index and steel price[J]. Journal of Shanghai Maritime University, 2016,(02):53-58.
[7] 陈丽芬,谢新连,桑惠云等. 基于SVAR模型的干散货运价和燃油价格的相关性分析[J]. 大连海事大学学报,2016,(04):119-124.
CHEN Li-fen, XIE Xin-lian, SANG Hui-yun,et al. Correlation analysis of dry bulk freight and bunker oil price based on SVAR model[J]. Journal of Dalian Maritime University, 2016,(04):119-124.
[8] 钟永光,贾晓菁,钱颖等.系统动力学(第二版)[M].北京:科学出版社,2013.
ZHONG Yong-guang, JIA Xiao-jing ,QIAN Shen, et al. System Dynamics(the second edition)[M]. Beijing: Science Press,2013.
文章导航

/