水利经济2026，Vol.44Issue(3)：28-36,54,10.DOI:10.3880/j.issn.1003-9511.2026.03.004
粤港澳大湾区港群效率测度、时空演进及影响因素研究
Research on efficiency measurement,spatiotemporal evolution,and influencing factors of port cluster in the Guangdong-Hong Kong-Macao Great Bay Area
摘要
Abstract
Enhancing the efficiency of the port cluster in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for regional economic integration and the establishment of the"dual circulation"new development pattern.Based on the super SBM model,this paper measures the efficiency of 11 ports in the Greater Bay Area from 2010 to 2023.It comprehensively employs kernel density estimation,standard deviation ellipse,and the Tobit model to reveal the spatiotemporal evolution patterns and influencing factors.The results indicate that,the overall efficiency of the port cluster in the Greater Bay Area shows a fluctuating upward trend,with significant heterogeneity in efficiency changes among individual ports.The efficiency value among ports is obviously stratified,forming a coexistence relationship of competition and cooperation.In terms of the time evolution,the kernel density curve shifts to the right,the main peak flattens,and the number of wave peak evolves from three peaks to four peaks.In terms of the spatial evolution,the center of gravity of the standard deviation ellipse moves to the northwest,the distribution tends to be discrete from concentration,the azimuth first moves counterclockwise and then clockwise,and the oblateness first rises and then decreases.In terms of the influencing factors,industrial structure,port functions,and technological innovation have a significant positive effect on the efficiency of the port cluster,while the degree of opening up has a significant negative effect.关键词
港群效率/时空演进/超效率SBM/Tobit模型/粤港澳大湾区Key words
port cluster efficiency/spatiotemporal evolution/super SBM/Tobit model/the Guangdong-Hong Kong-Macao Great Bay Area引用本文复制引用
熊盼..粤港澳大湾区港群效率测度、时空演进及影响因素研究[J].水利经济,2026,44(3):28-36,54,10.基金项目
国家自然科学基金项目(62263031) （62263031）
广东省普通高校青年创新人才类项目(2023WQNCX123) （2023WQNCX123）
广州市哲学社会科学规划项目(2025GZGJ243) （2025GZGJ243）
