集装箱码头的低碳效率评估和碳排放预测

Low-carbon efficiency evaluation and CO2 emission prediction of container terminals

中文关键词:  集装箱码头  数据包络分析  二氧化碳排放  低碳效率  情景分析

英文关键词:container terminal  data envelopment analysis  CO2 emission  low-carbon efficiency  scenario analysis

中文摘要:

      近年来，随着国际贸易的持续增长，集装箱码头作业量显著增加，随之而来的能源消耗和环境污染问题日益凸显。尤其在全球变暖趋势加剧的背景下，CO2排放问题备受关注，推动低碳化成为集装箱码头的重要发展方向。为探索低碳发展的有效路径，本研究对15个集装箱码头进行了系统分析：首先，采用超效率松弛测度数据包络分析模型评估其低碳效率，并探讨影响因素；其次，结合低排放分析平台模型和情景分析，对典型集装箱码头的CO2排放量进行预测；最后，提出了提升集装箱码头低碳效率的政策建议。本研究为集装箱码头实现低碳化发展提供了科学参考和实践指导。

英文摘要:

      In recent years, with the continuous growth of international trade, the workload of container terminals (CTs) has increased significantly, and the problems of energy consumption and environmental pollution have become increasingly prominent. Especially in the context of increasing global warming, the issue of CO2 emission has attracted much attention, and promoting low carbonization has become an important development direction of CTs. In order to explore the effective path of low-carbon development, this study systematically analyzes 15 CTs. Firstly, the Super Efficiency Slack-Based Measure Data Envelopment Analysis (SBM-DEA) model is used to evaluate their low-carbon efficiency, and the influencing factors are discussed. Secondly, combined with the Low Emissions Analysis Platform (LEAP) model and scenario analysis, the CO2 emissions of typical CTs are predicted. Finally, some policy suggestions are put forward to improve the low-carbon efficiency of CTs. This study provides scientific reference and practical guidance for CTs to realize low-carbon development.