{"title":"Vertical cooperation strategy of ports and shipping companies considering emission reduction","authors":"Lingpeng Meng, Haibin Qu, Xudong Wang, Wei Yan","doi":"10.1016/j.cie.2025.111357","DOIUrl":null,"url":null,"abstract":"<div><div>Carbon taxation policies has raised higher requirements for emissions reduction in the maritime supply chain. However, the insufficient momentum in emissions reduction caused by financial constraints and unclear reduction strategies has greatly impacted the effectiveness of emissions reduction efforts. This study considers a second-tier maritime supply chain under the carbon taxation regulation. A three-stage Stackelberg game model is constructed to analyze the investment strategies for vertical cooperative emission reduction in three scenarios. The research findings reveal that investment in information-sharing cooperative ports yields the lowest carbon emissions. Shipping companies achieves the highest profit by investing in information-sharing cooperative ports when the unit variable cost does not exceed the threshold (<span><math><mrow><msub><mi>c</mi><mi>e</mi></msub><mo>=</mo><mn>0.3</mn></mrow></math></span>). Otherwise, the highest profit is achieved by not investing. The information sharing discount level exhibits convex curve, inverse and positive relationship with the profit of information-sharing cooperative ports, non-cooperative ports, and shipping companies, respectively.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"207 ","pages":"Article 111357"},"PeriodicalIF":6.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835225005030","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Carbon taxation policies has raised higher requirements for emissions reduction in the maritime supply chain. However, the insufficient momentum in emissions reduction caused by financial constraints and unclear reduction strategies has greatly impacted the effectiveness of emissions reduction efforts. This study considers a second-tier maritime supply chain under the carbon taxation regulation. A three-stage Stackelberg game model is constructed to analyze the investment strategies for vertical cooperative emission reduction in three scenarios. The research findings reveal that investment in information-sharing cooperative ports yields the lowest carbon emissions. Shipping companies achieves the highest profit by investing in information-sharing cooperative ports when the unit variable cost does not exceed the threshold (). Otherwise, the highest profit is achieved by not investing. The information sharing discount level exhibits convex curve, inverse and positive relationship with the profit of information-sharing cooperative ports, non-cooperative ports, and shipping companies, respectively.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.