航运智能化对集装箱船舶营运成本的影响
PDF下载 (127)曹 越,朱文凤,王育红,赵 丹.航运智能化对集装箱船舶营运成本的影响[J].宁波大学学报(理工版),2025,38(6):105-111.DOI:10.20098/j.cnki.1001-5132.2025.0115
CAO Yue,ZHU Wenfeng,WANG Yuhong,ZHAO Dan.The effects of shipping intelligence on the operational costs of the container shipping industry[J].Journal of Ningbo University(Natural Science & Engineering Edition),2025,38(6):105-111.DOI:10.20098/j.cnki.1001-5132.2025.0115
| Title: | The effects of shipping intelligence on the operational costs of the container shipping industry |
| 作者: | 曹 越, 朱文凤, 王育红, 赵 丹 |
| Author(s): | CAO Yue, ZHU Wenfeng, WANG Yuhong, ZHAO Dan |
| 关键词: | 技术进步率; 智能船舶; 营运成本; 超越对数成本函数 |
| Keywords: | rate of technological progress; intelligent shipping; operational costs; translog cost function |
| 分类号: | U6-9 |
| DOI: | 10.20098/j.cnki.1001-5132.2025.0115 |
| 文献标识码: | A |
| 摘要: | 鉴于当前智能航行等科技进步对航运业营运成本影响的研究多集中在定性层面，因此从行业角度出发，采用智能航行相关专利数据来表征技术进步，并选定集装箱船型作为研究对象，通过构建超越对数成本函数模型，对技术进步影响集装箱远洋运输营运成本的程度进行量化分析。结果表明，平均航运相关科技水平每提升1%，集装箱船舶平均营运成本下降0.673%，此成效主要得益于航运智能化水平的提高以及船舶大型化带来的规模效益。 |
| Abstract: | The scientific and technological development epitomized by intelligent shipping exerts a significant influence on the operational costs within the shipping industry. Existing research on this topic primarily focuses on qualitative aspects. From an industrial perspective, this study employs patent data related to intelligent shipping to indicate technological progress in intelligent shipping, while a translog cost function is established to assess the contribution of technology intelligence to container shipping operational costs. Research findings reveal that a 1% enhancement in shipping intelligence corresponds to a 0.673% reduction in the average operational costs of container ships. This reduction is primarily ascribed to the advances in maritime intelligence and the economies of scale provided by larger vessels. |
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| 备注/Memo: | 收稿日期：2025−01−14 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ 基金项目：国家自然科学基金（72401148）；“科创甬江2035”重点研发计划国际科技合作项目（2024H032） 第一作者：曹 越，助教，主要研究方向为供应链管理。E-mail: 572047658@qq.com *通信作者：赵 丹，副教授，主要研究方向为智慧物流、港口管理。E-mail: zhaodan@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
