Digital inclusive finance and relative poverty at county level in Shaanxi province: measurement, evolution and risk of returning to poverty

This study examines digital financial inclusion's impact on relative poverty in Shaanxi Province using county-level data from 2014 to 2021. Results show it significantly reduces poverty through coverage and usage depth, with stronger effects in district and county-level regions than cities. Spatially, poverty decreased overall but persists in remote mountainous areas due to natural and infrastructural constraints. Ankang and other Qinba mountain areas face multidimensional risks, including inadequate healthcare, education, and agricultural inefficiencies. Recommendations include regional differentiation strategies, investments in healthcare and education, industrial and agricultural modernization, and dynamic poverty monitoring to achieve sustainable poverty reduction through multidimensional policy coordination.

Publication Details

Journal
Academic Journal of Humanities & Social Sciences
Published
2025-01-01
DOI
https://doi.org/10.25236/ajhss.2025.080208
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital inclusive finance and relative poverty at county level in Shaanxi province: measurement, evolution and risk of returning to poverty

Academic Journal of Humanities & Social Sciences
FinTech, Crowdfunding, Digital Finance
article

Digital inclusive finance and relative poverty at county level in Shaanxi province: measurement, evolution and risk of returning to poverty

article en

Abstract

This study examines digital financial inclusion's impact on relative poverty in Shaanxi Province using county-level data from 2014 to 2021. Results show it significantly reduces poverty through coverage and usage depth, with stronger effects in district and county-level regions than cities. Spatially, poverty decreased overall but persists in remote mountainous areas due to natural and infrastructural constraints. Ankang and other Qinba mountain areas face multidimensional risks, including inadequate healthcare, education, and agricultural inefficiencies. Recommendations include regional differentiation strategies, investments in healthcare and education, industrial and agricultural modernization, and dynamic poverty monitoring to achieve sustainable poverty reduction through multidimensional policy coordination.

Academic Journal of Humanities & Social SciencesVol. 8(2)
Xi'an International Studies University
No poverty
Openalex Percentile: Top 92%
FinTech, Crowdfunding, Digital Finance
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