成渝地区双城经济圈县域经济空间格局及影响因素——基于夜间灯光数据的分析

Spatial Pattern and Influencing Factors of County Economy in Chengdu-Chongqing Economic Circle——Based on Nighttime Light Data

基于2013年、2016年、2019年的夜间灯光数据和社会经济数据,使用空间自相关分析、重心分析、标准差椭圆工具对成渝地区双城经济圈县域经济空间格局进行分析,并进一步使用地理加权回归模型(GWR)和二阶聚类对县域经济发展影响因素及驱动机制进行探究。结果表明:(1)2013—2019年,成渝地区双城经济圈经济发展水平不断提高,经济空间格局呈现为以成都、重庆主城区为核心的两极式不平衡发展格局,区域中部连绵地带是经济发展短板所在。(2)成渝地区双城经济圈县域经济存在显著的空间集聚性。(3)县域经济空间分布方向为西北—东南走向,经济空间重心逐渐向东南偏移。(4)人口密度、城镇化率对研究区县域经济发展贡献显著,政府作用、投资水平、产业结构、教育水平、公路路网密度对经济发展作用呈现正负差异性。(5)根据空间差异,将142个区(县)划分为政策敏感型、投资敏感型和基础设施敏感型3种经济发展类型。

Based on nighttime light data and socioeconomic data in 2013,2016,and 2019,using spatial autocorrelation methods,center of gravity analysis and standard deviation ellipse tools,this paper analyzed the economic spatial pattern of the counties in the Chengdu-Chongqing Economic Circle,and further using Geographically Weighted Regression model(GWR)and Two-step Cluster to explore the influencing factors and driving mechanisms of economic development.The results showed that:(1)During the period from 2013 to 2019,the economic development level of the Chengdu-Chongqing Economic Circle continued to improve,and the economic spatial pattern presented a bipolar unbalanced development pattern centered on the main urban area of Chengdu and Chongqing,the central connecting area is the weak point of economic development.(2)There was significant spatial agglomeration of the county economy in the Chengdu-Chongqing Economic Circle.(3)The spatial distribution direction of the county economy was northwest-southeast,and the center of economic space gradually shifts to the southeast.(4)Population density and urbanization rate had made a significant contribution to the economic development of the counties in the study area,and the role of government,investment level,industrial structure,education level,and road network density had positive and negative effects on economic development.(5)According to spatial differences,there were three economic development types of 142 counties:policy-sensitive,investment-sensitive and infrastructure-sensitive.