摘要
为研究集装箱港口绿色协调发展,以粤港澳大湾区港口群为研究对象,基于改进的系统绿色测度方式,在非期望产出SBM-DEA模型测算绿色效率的基础上,分析2013年~2019年大湾区集装箱港口绿色发展效率时空差异,并利用全局莫兰指数和Google Earth Pro软件探索绿色发展效率地理空间形态相关性.结果表明:从时间序列演化特征来看,大湾区港口绿色发展效率整体呈现加速上升态势;从地理空间分布格局来看,港口绿色发展效率地理空间相对差距显著性较强,具体表现为:高发展效率港口沿着滨海地带呈现"倒U型"分布形态,低发展效率区以大湾区西部为主;沿海港口和内河港口效率差异较大,一定程度上导致绿色发展效率地理空间分化形态.最后,针对不同规模象限内的港口特征,给出相对应的绿色发展建议.
In order to study the green coordinated development of container port,this paper took the port group of Guangdong-Hong Kong-Macao Greater Bay Area as research object,based on the SBM-DEA model of considering unexpected output,the spatial and temporal differences of green development efficiency of container ports in Greater Bay Area from 2013 to 2019 were analyzed by using ArcGIS 10.2 geographic information software.The global Moran index and Google Earth Pro software were used to explore the spatial correlation of green development efficiency.The results show that from the perspective of time series evolution,the overall green development efficiency of the port in Greater Bay Area is accelerating;from the perspective of the geographical spatial distribution pattern,there is a strong spatial gap in port green development efficiency,which shown as follows:the high development efficiency port presents the"inverted U-shaped"distribution along the coastal zone,and the low development efficiency area is mainly in the west of Greater Bay Area;the great efficiency difference between the coastal ports and inland ports leads to the spatial differentiation of green development efficiency.Finally,according to different scale ports feature of quadrants,the corresponding green development suggestions are given.
作者
刘翠莲
翁法兵
黄玉明
LIU Cui-lian;WENG Fa-bing;HUANG Yu-ming(College of Transportation Engineering,Dalian Maritime University,Dalian 116026,China)
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2020年第4期58-68,共11页
Journal of Dalian Maritime University
基金
辽宁省社会科学规划项目(L14AGL003)。
关键词
粤港澳大湾区
集装箱港口
绿色发展效率
时空差异
四象限分析矩阵
Guangdong-Hong Kong-Macao Greater Bay Area
container port
green development efficiency
spatial and temporal differences
four quadrant analysis matrix
