文献类型：会议论文

英文题名：Study on the Carbon Emission Efficiency of Pearl River Delta Ports Based on the Super-SBM-GML Index Model

作者：Lin, Weixiong[1];Yin, Jianchuan[1,2,3];Huang, Zhenkai[1]

机构：[1]Guangdong Ocean Univ, Zj 524009, Guangdong, Peoples R China;[2]Guangdong Prov Key Lab Intelligent Equipment Sout, Sea Marine Ranching, Zj 524088, Guangdong, Peoples R China;[3]Guangdong Prov Engn Res Ctr Ship Intelligence & S, Zj 524088, Guangdong, Peoples R China

会议论文集：5th International Conference on Neural Computing for Advanced Applications (NCAA)

会议日期：JUL 05-07, 2024

会议地点：Asia Pacific Assoc Cognit Intelligence, Guilin, PEOPLES R CHINA

主办单位：Asia Pacific Assoc Cognit Intelligence

语种：英文

外文关键词：Super efficiency Slack Based Measure; Global Malmquist-Luenberger index; Port Carbon Emissions Efficiency; Pearl River Delta ports

外文摘要：Peak Carbon and Carbon Emission Reduction has been a hot issue in the shipping industry for a long time, but it still faces serious challenges. One of the reasons for this is that there is still a lack of scientific guidance on carbon reduction in ports. Improving Port Carbon Emissions Efficiency (PCEE) is an effective means to achieve carbon neutrality. This study analyses the Carbon Emissions Efficiency (CEE) of ports in the Pearl River Delta (PRD) region, which can provide theoretical support for the development and optimization of green, efficient, and sustainable development strategies for ports. A Super efficiency Slack Based Measure model (Super-SBM) considering non-desired outputs was constructed to assess the static efficiency of carbon emissions and the potential for improvement of the ports using panel data of nine ports in the P PRD for the period 2010-2022; a Global Malmquist- Luenberger (GML) index to study the dynamic changes of port carbon emission efficiency. A comprehensive static-dynamicmeasurement of port carbon emission efficiency is carried out, and strategies for improvement are proposed. The results of the study show that: (1) there are obvious differences in efficiency among ports, and themean value of PCEE of Shenzhen, Foshan, Zhongshan and Zhaoqing ports is greater than or equal to 1 during the study period; (2) during the study period, the mean value of the GML index is 1.03623, and the PCEE shows an increase, and ports have shown obvious improvement in green and low-carbon efficiency. (3) In the third category of ports with a low level of carbon emission efficiency and slow growth, improving resource allocation is an important method to improve PCEE.