Spatial distribution and regional accessibility measurement of financial services in China

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 an...

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Main Authors: Pan, Jixi, Huang, Weilun, Li, Xuan, Li, Ruyue
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Published: Springer 2021
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Online Access:http://eprints.um.edu.my/26667/
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spelling my.um.eprints.266672022-04-07T02:57:40Z http://eprints.um.edu.my/26667/ Spatial distribution and regional accessibility measurement of financial services in China Pan, Jixi Huang, Weilun Li, Xuan Li, Ruyue QE Geology 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. Springer 2021-09 Article PeerReviewed Pan, Jixi and Huang, Weilun and Li, Xuan and Li, Ruyue (2021) Spatial distribution and regional accessibility measurement of financial services in China. Arabian Journal of Geosciences, 14 (17). ISSN 1866-7511, DOI https://doi.org/10.1007/s12517-021-08147-3 <https://doi.org/10.1007/s12517-021-08147-3>. 10.1007/s12517-021-08147-3
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QE Geology
spellingShingle QE Geology
Pan, Jixi
Huang, Weilun
Li, Xuan
Li, Ruyue
Spatial distribution and regional accessibility measurement of financial services in China
description 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.
format Article
author Pan, Jixi
Huang, Weilun
Li, Xuan
Li, Ruyue
author_facet Pan, Jixi
Huang, Weilun
Li, Xuan
Li, Ruyue
author_sort Pan, Jixi
title Spatial distribution and regional accessibility measurement of financial services in China
title_short Spatial distribution and regional accessibility measurement of financial services in China
title_full Spatial distribution and regional accessibility measurement of financial services in China
title_fullStr Spatial distribution and regional accessibility measurement of financial services in China
title_full_unstemmed Spatial distribution and regional accessibility measurement of financial services in China
title_sort spatial distribution and regional accessibility measurement of financial services in china
publisher Springer
publishDate 2021
url http://eprints.um.edu.my/26667/
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score 13.211869