粤港澳大湾区制造业与物流业协同发展研究——基于BCC-DEA模型的实证
Collaborative development of manufacturing and logistics in the Guangdong-Hong Kong-Macao Greater Bay Area:an empirical study based on BCC-DEA model
李小玲1
作者信息
- 1. 广东理工学院经济管理学院,广东肇庆 526000
- 折叠
摘要
以粤港澳大湾区城市群的货运量、货运周转量、物流业增加值、物流业固定资产投资额、规模以上工业总产值、规模以上工业增加值以及规模以上工业企业单位数量作为衡量制造业和物流业发展的指标,选取2006-2021年的统计数据,基于规模报酬可变的数据包络分析模型(BCC-DEA)对粤港澳大湾区物流业与制造业的协同效率进行了实证研究.结果表明粤港澳大湾区制造业与物流业协同关系不稳定.基于粤港澳大湾区制造业与物流业的发展现状,提出推进制造业与物流业深度融合、因地制宜地优化粤港澳大湾区制造业与物流业布局等"两业"高质量协同发展的对策.
Abstract
This essay is taking the freight volume,freight turnover,added value of logistics industry,fixed asset investment of logistics industry,gross industrial output value above designated scale,industrial added value above designated scale and the number of industrial enterprises above designated scale as as indicators to measure the development of manufacturing and logistics industries in the Greater Bay Area urban ag-glomeration,selecting the statistical data from 2006 to 2021,based on BCC-DEA model,the collaborative efficiency of logistics industry and manufacturing industry in Guangdong-Hong Kong-Macao Greater Bay Area was studied.The results show that the cooperative relationship between manufacturing industry and logistics industry in Greater Bay Area is not stable.According to the development status of manufacturing and logistics industry in Guangdong-Hong Kong-Macao Greater Bay Area,Countermeasures are put for-ward to promote the deep integration of manufacturing and logistics and optimize the layout of the manu-facturing and logistics industries in Guangdong-Hong Kong-Macao Greater Bay Area in accordance with lo-cal conditions.
关键词
物流业/制造业/协同/数据包络分析/高质量发展/粤港澳大湾区Key words
Manufacturing industry/Logistics industry/Collaboration/BCC-DEA/High-quality develop-ment/Guangdong-Hong Kong-Macao Greater Bay Area引用本文复制引用
基金项目
2020年度广东省教育科学"十三五"规划课题项目(2020GXJK215)
广东理工学院2022年校级科技项目暨"创新强校工程"科研项目(2022GKJSK019)
出版年
2024
NETL
NSTL
万方数据