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Determinants of cargo and eco-efficiencies of global container shipping companies

机译:全球集装箱运输公司货物和生态效率的决定因素

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Purpose - This study aims to evaluate cargo and eco-efficiency of global container shipping companies (CSCs) and explore the determinants of the CSCs' efficiencies. While the former is derived from the CSCs' operational perspective, the latter highlights environmental issue related to carbon emission reduction. Design/methodology/approach - In the first stage, a two-stage double bootstrap approach of data envelopment analysis (DEA) is applied to derive bias-corrected cargo and eco-efficiency of the top ten global CSCs under the variable returns to scale assumption. In the second stage, ordinary least squares and truncated regression are applied to examine determinants of the CSCs' efficiencies. Findings - The DEA results reveal that the cargo efficiency of the CSCs is higher than their eco-efficiency by about 2.6% under variable returns to scale in DEA. However, the bias-corrected results show that the difference is 2.9%. The overall average efficiencies suggest that the CSCs can improve their cargo (eco) efficiency by 6.9% (10.8%). In the second stage, the regression results show that the numbers of ship, return on assets and asset turnover ratio are significantly related to both cargo and eco-efficiencies, whereas the total fleet capacity positively affects cargo efficiency. Research limitations/implications - The results of this study can help the inefficient CSCs make strategic decisions to improve their performance. For example, their business experience and capacity may be contributing to their efficiencies. However, this study only focuses on the container market among the three main markets, namely, dry bulk, wet bulk and container. Originality/value - This study highlights an environmental issue in the shipping industry. While CSCs are operating their cargo efficiently in general, they should also put green initiatives into their business operations for the long-term sustainability.
机译:目的 - 本研究旨在评估全球集装箱船公司(CSC)的货物和生态效率,并探讨CSCS效率的决定因素。虽然前者是从CSCS的运行角度衍生出来的,但后者突出了与碳减排有关的环境问题。设计/方法/方法 - 在第一阶段,应用数据包络分析(DEA)的两级双举自动启动方法,以导出偏置校正的货物,并在变量返回下的前十个全球CSC的生态效率进行规模假设。在第二阶段,应用普通的最小二乘和截断的回归来检查CSCS效率的决定因素。调查结果 - DEA结果表明,在DEA中的可变恢复下,CSC的货物效率高于其生态效率约2.6%。然而,偏差结果表明,差异是2.9%。总体平均效率表明,CSC可以将其货物(ECO)效率提高6.9%(10.8%)。在第二阶段,回归结果表明,船舶的数量,资产回报和资产周转率与货物和生态效率有关,而总舰队容量会积极影响货物效率。研究限制/含义 - 本研究的结果可以帮助低效CSC对改善其性能的战略决策。例如,他们的商业经验和能力可能会导致他们的效率。然而,这项研究仅关注三个主要市场中的集装箱市场,即干散装,湿散装和容器。原创性/价值 - 本研究突出了航运业的环境问题。虽然CSCS一般地运营其货物,但它们还应将绿色举措放入其业务运营中,以实现长期可持续性。

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