【摘要】 基于2009—2018年粤港澳大湾区11个城市的面板数据,构建大湾区城市高质量发展评价指标体系,运用熵权TOPSIS法和非期望产出的SBM-DEA法对各市发展水平和效率进行综合评价,应用GeoDa软件对大湾区城市发展的空间分布特征进行全局和局部自相关性分析。研究发现:第一,对外贸易类指标、创新发展类指标对粤港澳大湾区城市高质量发展的影响程度最大;第二,随着时间的推移,粤港澳大湾区城市间发展水平差距扩大、愈不均衡;第三,粤港澳大湾区城市效率整体水平较高,但各城市产出效率整体未达到最优状态;第四,大湾区城市群经济发展水平还未形成明显的集聚效应,城市之间未形成明显的空间依赖性。城市效率表现出不均衡的空间结构,尤其在大湾区的东西两岸存在空间溢出。更多还原

【Abstract】 Based on the panel data of 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA) from 2009 to 2018,an evaluation index system is constructed for the high-quality development of the city’s economy.The entropy TOPSIS method and the SBM-DEA method with undesired output are used to comprehensively evaluate the development level and efficiency of each city, then GEODA is used to analyze the global and local auto-correlation of the spatial distribution characteristics of urban development in GBA.It is found that: First, foreign trade indicators and innovative development indicators have the greatest impact on the high-quality development of the cities in GBA;Second, the gap of the development levels among the cities in GBA has become larger and more uneven over time; Third, the overall urban development efficiency of the cities in the GBA is high, but the output efficiency of each city has not reached the ideal optimal state, indicating the necessity of promoting the building of GBA;Fourth, the urban economic development has not formed an obvious agglomeration effect, and there is no obvious spatial dependence among cities.The urban development efficiency of the cities in GBA shows an uneven spatial structure, especially in the east and west coasts of the GBA.更多还原