Spatial distribution and regional accessibility measurement of financial services in china
Document Type
Article
Publication Date
1-1-2021
Abstract
Based on POI data, the spatial pattern of financial service industry in Nanjing and Hangzhou in 2020 was studied by using kernel density estimation, standard deviation ellipse, nearest neighbor index, and local Getis-Ord G* index. The NNI of financial services in Nanjing and Hangzhou are 0.408127 and 0.145855. The global Moran’s I of the spatial distribution of financial services are 0.606754 and 0.589392. Both two cities showed obvious characteristics of agglomeration distribution, and there is an obvious spatial correlation. The spatial agglomeration of Nanjing is slightly stronger than that of Hangzhou. For Hangzhou, the distribution is mainly along the “southwest to northeast”, and the center is located in the West Lake area. For Nanjing, the distribution is mainly along the “south-east”, and the center is located in Qinhuai District. Residents of Nanjing have a higher spatial accessibility in terms of comfortable walking. Within the sub-comfortable walking zone, the two cities are in similar accessibility. However, it is also found that the inequality in Nanjing is higher, and the average walking distance of residents in Nanjing is higher than that in Hangzhou. © 2021, Saudi Society for Geosciences.
Keywords
Big data, Financial geography, Financial services, Regional accessibility, Spatial distribution
Divisions
aei
Funders
Basic Social Sciences of China,Wenzhou Philosophy and Social Science Planning Project (Grant no. 20wsk095),Department of Education of Zhejiang Province (Grant No. R2020007),National Planning Office of Philosophy and Social Science (Grant No. 2021N101)
Publication Title
Arabian Journal of Geosciences
Volume
14
Issue
17
Publisher
Springer Science and Business Media Deutschland GmbH