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Spatial-temporal Evolution And Influencing Factors Of Digital Inclusive Finance Development In Guangdong Province

Posted on:2024-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:L JinFull Text:PDF
GTID:2569307064450764Subject:Applied statistics
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The concept of inclusive finance was first clearly put forward by the United Nations in 2005,which meant the birth of a system that could efficiently and comprehensively provide equal financial products and services to all social classes and groups.With the rapid development of communication and information technology such as big data and cloud computing,the financial sector will face new models and scenarios,and digital inclusive finance empowered by technology has come into being.the concept of digital inclusive finance was officially proposed at the G20 Summit in 2016,and subsequently attracted extensive attention from domestic scholars.Digital inclusive finance is a further deepening of inclusive finance,an emerging form of integration of digital technology and traditional finance,and provides an effective breakthrough for the development of inclusive finance.Guangdong Province,as a national economic powerhouse,has always been a leader in the country in terms of economic development,but the regional development of Guangdong Province is seriously imbalanced,and the level of digital inclusive finance is also facing the difficult problem of large regional differences.Therefore,the Guangdong Provincial Party Committee and the provincial government have requested to promote the coordinated and balanced development of inclusive finance in the province and to achieve the primary goal of"making Guangdong Province rank among the top in the country in terms of inclusive financial development".In this context,it is important to study the spatial and temporal evolution characteristics of digital inclusive finance in Guangdong Province and explore the influencing factors of digital inclusive finance in Guangdong Province to promote the coordinated development of digital inclusive finance in Guangdong Province.Based on the combing and summarizing of domestic and foreign studies on digital inclusive finance,we first analyze the temporal evolution of digital inclusive finance development in Guangdong Province,and analyze the development trend of digital inclusive finance in the whole Guangdong Province and the differences in the development of the four economic sectors from the perspective of the total digital inclusive finance index and its three sub-indices of breadth of coverage,depth of use and degree of digitalization.Then the research perspective falls on the development of digital inclusive finance in Guangdong counties,and the spatial distribution characteristics,spatial and temporal evolution patterns,spatial correlation degrees,and spatial aggregation patterns of digital inclusive finance and sub-indices in counties are studied from the Pearl River Delta segment,the East Wing segment,the West Wing segment,and the Mountain segment by region,and the coefficient of variation are calculated for σ-tests to determine the convergence trends of county differences.Then,we tap their influencing factors from the whole and regions respectively,and through LM test,LR test,Hausman test and the selection of fixed effects,the spatial autoregressive model based on double fixed effects is finally selected to test the degree of the selected indexes on digital inclusive finance in Guangdong Province.By regions,the spatial Durbin model under individual fixed effects is selected for the Pearl River Delta plate,and the spatial Durbin model under time fixed effects is selected for the East Wing plate.The spatial autoregressive model with individual fixed effects is selected for the Pearl River Delta plate,the spatial autoregressive model with time fixed effects is selected for the East Wing plate,the spatial autoregressive model with individual fixed effects is selected for the West Wing plate,and the spatial error model with individual fixed effects is selected for the Mountain Plate.The results of the study show that:(1)through the time-series evolution analysis,it can be seen that the development level of digital inclusive finance in Guangdong Province has been increasing year by year,shifting from horizontal to vertical development from 2011 to 2017,and the growth rate of each index has been sluggish since 2018;in terms of regional differences in sub-dimensions,the Pearl River Delta plate is in the leading position in the total index and the three sub-indices,while the West Wing plate and the Mountainous area plate are more backward;(2)Through the analysis of the spatial distribution pattern of counties,it is found that the total digital inclusive finance index and the breadth of coverage index among counties in Guangdong Province show a pattern of gradually weakening from the central counties of the Pearl River Delta plate to the peripheral counties,and the depth of use index shows the characteristic of "high in the east and low in the west",with the highest digitalization level gradually shifting to the central counties of the Pearl River Delta.The calculation of Moran index reveals that there is a significant positive spatial correlation and an"inverted V" development;the exploration of spatial clustering pattern reveals that HH clustering occurs in some counties in the Pearl River Delta,and LL clustering occurs in mountainous areas and most counties in the west wing;finally,the calculation of coefficient of variation reveals that all indices of digital inclusive finance in counties have σ converged.(3)Through the construction of the spatial econometric model,from the overall level of the province,the degree of traditional financial development,industrial structure,investment behavior,R&D employment,population education level and income level of the region will have a positive positive effect on its own digital inclusive financial development,while the degree of digital inclusive financial development in the surrounding areas will also will contribute to the development level of the region.At the level of each segment,income level can significantly promote the development of digital inclusive finance in the four major regions,but other than that,the rest of the indicators have obvious regional differences.Finally,based on the research findings,the thesis proposes:first,narrowing the regional gap and accelerating the pace of promoting the development of digital inclusive finance in the east-west and mountainous regions;focusing on the radiation role of the Pearl River Delta segment as a gathering center,and shifting the future focus to the promotion and implementation of digital inclusive finance in the more backward regions such as the east-west wing.Second,rationalize and optimize financial resources to realize the synergistic development of digital inclusive finance in Guangdong Province;strengthen the reach of digital inclusive finance through digital technology for regions with low coverage breadth index,and continuously develop suitable financial products for regions with low usage depth index to meet the financial credit needs of residents in each region.Thirdly,build a user information platform and improve the inclusive financial coverage network by leveraging digital technology;build a financial credit information platform that can provide financial products,assess user capabilities and store user information,etc.,so as to lower the financial threshold and make financial services "online".Fourth,increase the publicity of inclusive finance and strengthen digital inclusive finance education;make extensive use of online and offline channels to promote inclusive financial services,popularize basic financial knowledge and enhance public awareness of financial risks.Fifth,establish a monitoring,evaluation and statistical system to adjust policies in accordance with the development of digital inclusive finance in each region;develop and implement an evaluation system to regularly understand the development and changes of digital inclusive finance in each county and city,and form a dynamic evaluation mechanism.
Keywords/Search Tags:Digital Inclusive Finance, Spatio-temporal evolutionary characteristics, Spatial measurement, Influencing factors
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