摘要
运用地理集中指数、不均衡指数、核密度估计法和地理探测器模型,分析2019年京津冀、长三角、珠三角三大城市群优质公共服务资源的空间分布特征及影响因素。结果显示:三大城市群优质公共服务资源数量差别较大,长三角优质公共服务资源数量最多,珠三角优质公共服务资源数量最少;优质公共服务资源空间分布的集中与不均衡特征明显,京津冀集中程度最高,长三角集中程度最低,珠三角不均衡程度最高,长三角不均衡程度最低;优质公共服务资源呈现“一核多极”的空间分布密度特征,北京、上海、广州是优质公共服务资源的集聚高地,天津、杭州、深圳等是次级中心;不同影响因素对三大城市群优质公共服务资源空间分布的作用强度不同,按影响程度由大到小排序为对外开放程度>财政支出能力>科技创新能力>城镇化水平>经济发展水平。
Based on geographic concentration index,disequilibrium index,kernel density estimation and geographical detector model,this article analyzes the spatial distribution characteristics and influencing factors of high-quality public service resources in the urban agglomerations of Beijing-Tianjin-Hebei,Yangtze River Delta and Pearl River Delta in 2019.The results show that the quantity of high-quality public service resources in the three urban agglomerations is quite different.The quantity of high-quality public service resources in the Yangtze River Delta is the largest,and in the Pearl River Delta is the least.The spatial distribution of high-quality public service resources has obvious characteristics of concentration and imbalance.The concentration degree of Beijing-Tianjin-Hebei is the highest,and the Yangtze River Delta is the lowest;the imbalance degree of the Pearl River Delta is the highest,and the Yangtze River Delta is the lowest.High-quality public service resources present the spatial distribution density characteristic of“one core and multiple poles”.Beijing,Shanghai and Guangzhou are the gathering highland of high-quality public service resources,and Tianjin,Hangzhou and Shenzhen are the secondary centers.Different factors have different effects on the spatial distribution of high-quality public service resources in the three urban agglomerations,and influence degree is ordered in the following way(from big to small):the degree of opening to the outside world,the ability of financial expenditure,the ability of scientific and technological innovation,the level of urbanization,the level of economic development.
作者
尹鹏
张荣天
YIN Peng;ZHANG Rong-tian(School of Business,Ludong University,Yantai 264039,China;Research Institute of Central Jiangsu Development,Yangzhou University,Yangzhou 225009,China)
出处
《青岛科技大学学报（社会科学版）》
2021年第3期9-17,共9页
Journal of Qingdao University of Science and Technology(Social Sciences)
基金
教育部人文社会科学研究青年基金项目(19YJCZH229,20YJCZH230)
烟台市哲学社会科学规划课题(YTSK2021-025)。
关键词
优质公共服务资源
空间分布
影响因素
POI
城市群
high-quality public service resources
spatial distribution
influencing factor
POI
urban agglomeration
