Choice of Emission Control Technology in Port Areas with Customers' Low-Carbon Preference

被引:6
|
作者
Zhou, Haiying [1 ]
Zhang, Wenjing [1 ]
机构
[1] Guangzhou Maritime Univ, Dept Port & Shipping Management, Guangzhou 510725, Peoples R China
关键词
cap-and-trade scheme; emission control technology; low-carbon preference of customers; carbon emissions; social welfare; SUPPLY CHAIN; DECISION; FLEET;
D O I
10.3390/su142113816
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The choice of emission control technology in a port supply chain under a cap-and-trade scheme considering low-carbon preferences of customers, is explored in this study. In port areas, the port supply chain consisting of one port and one ship can adopt either shore power (SP) or low sulfur fuel oil (LSFO) to reduce emissions. The economic and social performance of the port supply chain when either SP or LSFO is implemented is compared under three different game models (port-leader Stackelberg game, ship-leader Stackelberg game and the Nash game). The obtained results show that the profits and emissions in the Nash game are higher than those in the other two games. When environmental concern is relatively small, social welfare in the Nash game is the highest, while social welfare in the one-party-dominant structure is superior to that in the Nash structure, under high environmental concern. When the customers' low-carbon preferences and carbon prices are low, both the supply chain's profits and carbon emissions when LSFO is used are higher than those from using SP. From the perspective of social welfare maximization, in general, LSFO is preferred when carbon price, customers' low-carbon preference and environmental concern are all low or are all high. Otherwise, SP is the optimal decision. The findings can provide insights for governments in formulating emission control policies according to their own interests.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Decisions on Technologies for Emissions Control in Port Areas under Subsidy and Low-Carbon Preferences of Customers
    Zhou, Haiying
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [2] Choice of technology for emission control in port areas: A supply chain perspective
    Yang, Lei
    Cai, Yiji
    Wei, Yunlei
    Huang, Shuo
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 240
  • [3] Pricing and Carbon-Emission-Reduction Decisions under the BOPS Mode with Low-Carbon Preference from Customers
    Wang, Han
    Pang, Chuan
    Tang, Huajun
    [J]. MATHEMATICS, 2023, 11 (12)
  • [4] Review of Low-carbon Technology for Integrated Port Energy Systems
    Tai, Nengling
    Wang, Xiaobo
    Huang, Wentao
    Yang, Li
    Huang, Yiwen
    [J]. Dianwang Jishu/Power System Technology, 2022, 46 (10): : 3749 - 3763
  • [5] An Analysis of the Impact of Government Subsidies on Emission Reduction Technology Investment Strategies in Low-Carbon Port Operations
    Li, Minjie
    Luan, Jianlin
    Li, Xiaodong
    Jia, Peng
    [J]. SYSTEMS, 2024, 12 (04):
  • [6] Sustaining the low-carbon emission development in Asia and beyond: Sustainable energy, water, transportation and low-carbon emission technology
    Lee, Chew Tin
    Hashim, Haslenda
    Ho, Chin Siong
    Fan, Yee Van
    Klemes, Jiri Jaromir
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 146 : 1 - 13
  • [7] PREDICTIVE CONTROL TECHNOLOGY FOR DESULFURIZATION AND DENITRIFICATION FOR LOW-CARBON AND CLEAN EMISSION FOR CHEMICAL INDUSTRY CONSUMER
    Yu, Fang
    Zhao, Ping
    Zhang, Wei
    Ying, Cai-Xia
    Shen, Dan-Tao
    Xue, Ji-Zhong
    [J]. PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCEON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2022, : 48 - 53
  • [8] Contracting emission reduction for supply chains considering market low-carbon preference
    Wang, Qinpeng
    Zhao, Daozhi
    He, Longfei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 120 : 72 - 84
  • [9] Joint Decisions on Emission Reduction and Inventory Replenishment with Overconfidence and Low-Carbon Preference
    Ji, Shoufeng
    Zhao, Dan
    Peng, Xiaoshuai
    [J]. SUSTAINABILITY, 2018, 10 (04)
  • [10] Research on the impact of carbon emission trading system on low-carbon technology innovation
    Lyu, Xiaohuan
    Shi, Anna
    Wang, Xin
    [J]. CARBON MANAGEMENT, 2020, 11 (02) : 183 - 193