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Analysis of Spatial and Temporal Evolution Characteristics of Digital Finance in Shandong Province

Xu Zhang*, Xiaolong Gao, Xinjia Diao, Tiankai Zhen

Abstract


Based on the panel data of 136 county-level administrative units in Shandong Province from 2016 to 2022, this paper uses exploratory spatial autocorrelation, time path analysis and other methods to analyze the temporal and spatial evolution characteristics of county-level
digital finance in Shandong Province. The study found that ? the development gap of county digital finance in Shandong province did not
widen from 2016 to 2022. ? The high-level areas and high-level areas of digital finance have changed from agglomeration in coastal areas to
decentralized distribution, indicating that the agglomeration pattern of digital finance has been broken and the development of digital finance
is more balanced. ? The local spatial pattern of digital finance in each city and adjacent cities is relatively stable, and the spatial distribution
is cohesive and stable, with the characteristics of "path dependence".

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References


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DOI: http://dx.doi.org/10.70711/frim.v3i10.7505

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