Author
Listed:
- Hong, Le
- Xu, Lang
- Yan, Ran
Abstract
Maritime transport underpins global trade, but remains a major source of greenhouse gas emissions, posing challenges for coordinated decarbonization. This paper develops a four-stakeholder evolutionary game model (4S-EGM) to analyze strategic interactions among the International Maritime Organization (IMO), port states, terminal operators, and shipowners, with the port state as the central decision-maker. The model integrates regulatory enforcement, financial incentives, and infrastructure investment and is contextualized through liquefied natural gas (LNG) retrofitting, with parameters referenced to Shanghai Port. Replicator dynamics, stability analysis, and sensitivity analysis are used to identify conditions supporting cooperation. The model evaluates the joint effects of green subsidies, carbon-related market benefits, initial conditions, and profit-sharing arrangements. The results show that cooperation depends on coordinated incentives, initial-condition path dependence, and contractual alignment through profit-sharing. Conditional parameter-sensitivity analysis further indicates that, under a supportive incentive configuration, full cooperation remains unchanged under moderate variations in most examined parameters except the subsidy and carbon-related market benefit. However, cooperation is not unconditional: the system does not reach full cooperation when these incentives are removed, while excessive subsidy costs may disrupt it. The findings emphasize combining sufficiently strong incentives with fiscally sustainable subsidy arrangements and provide scenario-based policy implications for coordinating stakeholder actions in transitional-fuel adoption and maritime decarbonization.
Suggested Citation
Hong, Le & Xu, Lang & Yan, Ran, 2026.
"Incentive-driven evolutionary game for maritime decarbonization: Evidence from Shanghai Port,"
Transportation Research Part A: Policy and Practice, Elsevier, vol. 213(C).
Handle:
RePEc:eee:transa:v:213:y:2026:i:c:s0965856426003691
DOI: 10.1016/j.tra.2026.105228
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:213:y:2026:i:c:s0965856426003691. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.