Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Evolutionary game analysis of Arctic shipping black carbon emission reduction strategies based on government regulation and port fee differential policies

Bibliographic Data

ID22231793
AuthorsXinli Qi (Dalian Maritime University, corresponding author), Zhenfu Li (Dalian Maritime University, corresponding author), Yiran Zhang (0000-0002-7052-0357, Dalian Maritime University), Qiqi Zhang (0009-0008-5660-9137, Dalian Maritime University), Chunrui Song (0000-0002-7952-5162, Dalian Maritime University)
Year2025
Volume12
Issue1
Publication date2025-07-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-025-05329-2
OpenAlexW4411981094
LanguageEN
References cited37

The issue of black carbon (BC) emissions from Arctic shipping has garnered significant attention from the international community. Promoting action among key stakeholders is particularly critical at this juncture. This study constructed a BC emissions governance model for Arctic shipping based on government regulation and differential port fee policies, and established an evolutionary game model of Arctic coastal governments, ports and shipping companies, analyzing the impact of evolutionary steady state and various parameter variables on the choice of stakeholder behavioral strategies. The results show that $${E}_{8}(\mathrm{1,1,1})$$ is the optimal steady-state case for the system, which means active government regulation along the Arctic, implementation of port fee differential policies by port, and active emission reductions by shipping companies. During the game process, each participant’s strategy is influenced by the initial choices made by other participants. Among them, the coastal government’s first supervision is the key factor in promoting the emission reduction behavior of the shipping industry. At the same time, appropriate coastal government reward and punishment mechanisms and differential port fee policies play a decisive role in emission control. If the policy intensity is too low, shipping companies may lack action for a long time. Excessive policy intensity may affect the long-term sustainability of the policy. In addition, lower emission reduction technology costs help to enhance the willingness of shipping companies to reduce emissions. On the contrary, high technology costs will weaken their enthusiasm and may cause the government to turn to passive regulation due to regulatory costs and delayed market response. Overall, to achieve the desired stabilization strategy for BC emission reductions in Arctic shipping, collective action is essential

Arctic · Biology · Business · Differential game · Economics · Environmental economics · Mathematical optimization · Natural resource economics · The arctic · Arctic and Russian Policy Studies · Atmospheric chemistry and aerosols · Engineering · Maritime Transport Emissions and Efficiency · Mathematics · Ecology · Oceanography

  • Evolutionary Games in Economics

    Daniel Friedman•Econometrica•1991

  • An evolutionary game model analysis on emission control areas in China

    Open Access•Bao Jiang, Xiaoqiong Wang et al.•Marine Policy•2020

  • Carbon Emission Trading Scheme in the shipping sector

    Open Access•Min Wu, Kevin X Li et al.•Marine Policy•2022

  • International governance of Arctic shipping black carbon emissions

    Open Access•Xinli Qi, Zhenfu Li et al.•Marine Policy•2024

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae