Vertical cooperation strategy of ports and shipping companies considering emission reduction

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Lingpeng Meng, Haibin Qu, Xudong Wang, Wei Yan
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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 (ce=0.3). 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.
考虑减排的港口和航运公司垂直合作战略
碳税政策对海运供应链的减排提出了更高的要求。然而,由于资金限制和减排战略不明确,减排动力不足,极大地影响了减排工作的有效性。本研究考虑了碳税监管下的二级海运供应链。构建了三阶段Stackelberg博弈模型,分析了三种情景下垂直合作减排的投资策略。研究结果表明,信息共享合作港口的投资产生的碳排放量最低。当单位可变成本不超过阈值(ce=0.3)时,航运公司投资信息共享合作港口获得的利润最高。否则,最高的利润是通过不投资获得的。信息共享折扣水平分别与信息共享合作港口、非合作港口和航运公司的利润呈凸曲线、负相关和正相关关系。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
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.
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