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Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers

Yang Zhao, John W. Goodell, Qingli Dong, Yong Wang, Abedin Abedin

International Review of Financial Analysis, Volume: 84, Start page: 102411

Swansea University Author: Abedin Abedin

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DOI (Published version): 10.1016/j.irfa.2022.102411

Abstract

Few studies have quantitatively analyzed the causes of the uneven development of fintech inclusion. We explore the factors influencing regional differences in China's fintech inclusion by focusing on the influencing factors' spatiotemporal heterogeneity. Fuzzy best-worst, standard deviatio...

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Published in: International Review of Financial Analysis
ISSN: 1057-5219 1873-8079
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa64227
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first_indexed 2023-09-20T14:39:13Z
last_indexed 2023-09-20T14:39:13Z
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spelling v2 64227 2023-08-31 Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers 4ed8c020eae0c9bec4f5d9495d86d415 Abedin Abedin Abedin Abedin true false 2023-08-31 BAF Few studies have quantitatively analyzed the causes of the uneven development of fintech inclusion. We explore the factors influencing regional differences in China's fintech inclusion by focusing on the influencing factors' spatiotemporal heterogeneity. Fuzzy best-worst, standard deviation ellipse, and geographically temporally weighted regression methodologies were used to investigate the spatiotemporal evolution and influencing factors for 2011–2019. China's fintech inclusion has a higher persistent spatial imbalance in the east and a lower in the central and western regions. Regarding the spatial heterogeneity of influencing factors, we find that the effects of economic development, financial supervision, transportation convenience, population structure and education level show obvious east-west differences. Regarding temporal heterogeneity, we find over our period that the impacts of economic development and financial supervision on fintech inclusion changed from negative to positive, with the positive effects of education level and population structure decreasing. We offer a framework for measuring regional fintech inclusion and practical policy suggestions for promoting coordinated development. Journal Article International Review of Financial Analysis 84 102411 Elsevier BV 1057-5219 1873-8079 Fintech inclusion, Spatiotemporal evolution, Fintech policy, Financial development 30 11 2022 2022-11-30 10.1016/j.irfa.2022.102411 http://dx.doi.org/10.1016/j.irfa.2022.102411 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2023-09-20T15:39:14.2244497 2023-08-31T17:29:10.1883550 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Yang Zhao 1 John W. Goodell 2 Qingli Dong 3 Yong Wang 4 Abedin Abedin 5
title Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
spellingShingle Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
Abedin Abedin
title_short Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
title_full Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
title_fullStr Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
title_full_unstemmed Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
title_sort Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Abedin Abedin
author Abedin Abedin
author2 Yang Zhao
John W. Goodell
Qingli Dong
Yong Wang
Abedin Abedin
format Journal article
container_title International Review of Financial Analysis
container_volume 84
container_start_page 102411
publishDate 2022
institution Swansea University
issn 1057-5219
1873-8079
doi_str_mv 10.1016/j.irfa.2022.102411
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
url http://dx.doi.org/10.1016/j.irfa.2022.102411
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description Few studies have quantitatively analyzed the causes of the uneven development of fintech inclusion. We explore the factors influencing regional differences in China's fintech inclusion by focusing on the influencing factors' spatiotemporal heterogeneity. Fuzzy best-worst, standard deviation ellipse, and geographically temporally weighted regression methodologies were used to investigate the spatiotemporal evolution and influencing factors for 2011–2019. China's fintech inclusion has a higher persistent spatial imbalance in the east and a lower in the central and western regions. Regarding the spatial heterogeneity of influencing factors, we find that the effects of economic development, financial supervision, transportation convenience, population structure and education level show obvious east-west differences. Regarding temporal heterogeneity, we find over our period that the impacts of economic development and financial supervision on fintech inclusion changed from negative to positive, with the positive effects of education level and population structure decreasing. We offer a framework for measuring regional fintech inclusion and practical policy suggestions for promoting coordinated development.
published_date 2022-11-30T15:39:13Z
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score 11.036815

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