Using System Dynamics and Game Model to Estimate Optimal Subsidy in Shore Power Technology

被引:23
作者
Li, Xiaodong [1 ,2 ]
Kuang, Haibo [1 ]
Hu, Yan [1 ]
机构
[1] Dalian Maritime Univ, Collaborat Innovat Ctr Transport Studies, Dalian 116026, Peoples R China
[2] Dalian Maritime Univ, Coll Transportat Engn, Dalian 116026, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国国家自然科学基金;
关键词
Subsidy policy; emission control; game theory; system dynamics; shore power; EMISSION CONTROL; PORT COMPETITION; REDUCTION; TRANSPORT; POLICIES; CHAIN; AREAS;
D O I
10.1109/ACCESS.2020.3004183
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To cope with severe environmental problems, the government has implemented strict emission control policies, and promoted the use of technology such as shore power (SP) in the form of subsidies. The SP providers of the shipping lines like the ports provide better SP services to shipping lines by improving its reliability, such as safety and standardization. This paper examines a two-echelon maritime supply chain consisting of a port and a shipping line under government green subsidy and explores the subsidy mechanism and its impact. The optimal government subsidy intensity and subsidy reduction point are confirmed using game theory. The system dynamics (SD) method is used to analyze the influence and evolution of practical problems such as government subsidy efficiency, information asymmetry, and inconsistent decision-making periods under multiple games utilizing the optimal response function. The paper shows that both shipper SP preference and decision period affect the SP reliability. When the shipper's preference is high, the actual shipper's subsidies and government subsidies are inefficient. Information asymmetry borne by ports and shipping line causes considerable fluctuations in the game and does not affect the actual subsidies received by shippers. Also, shipping line downstream of the supply chain are more affected by it. This paper offers insight for the government to formulate subsidy policies in the maritime supply chain.
引用
收藏
页码:116310 / 116320
页数:11
相关论文
共 41 条
  • [1] [Anonymous], 2014, AR5 Synthesis Report: Climate Change 2014 - IPCC
  • [2] [Anonymous], 2014, 3 IMO GHG STUDY 2014
  • [3] [Anonymous], 2019, REV MAR TRANSP
  • [4] Baird A. J., 2001, INT J MARITIME EC, V3, P102
  • [5] Have Emission Control Areas (ECAs) harmed port efficiency in Europe?
    Chang, Young-Tae
    Park, Hyosoo
    Lee, Suhyung
    Kim, Eunsoo
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2018, 58 : 39 - 53
  • [6] Assessing noxious gases of vessel operations in a potential Emission Control Area
    Chang, Young-Tae
    Roh, Younghoon
    Park, Hyosoo
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2014, 28 : 91 - 97
  • [7] Alternative Maritime Power application as a green port strategy: Barriers in China
    Chen, Jihong
    Zheng, Tianxiao
    Garg, Akhil
    Xu, Lang
    Li, Sifan
    Fei, Yijie
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 213 : 825 - 837
  • [8] Chinese Ministry of Transport, 2018, IMPL PLAN SHIP AIR P
  • [9] Modelling emission control taxes in port areas and port privatization levels in port competition and co-operation sub-games
    Cui, Han
    Notteboom, Theo
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 56 : 110 - 128
  • [10] Emission control areas and their impact on maritime transport
    Cullinane, Kevin
    Bergqvist, Rickard
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2014, 28 : 1 - 5