The Spatial Pattern,Influencing Factors And Industrial Structure Adjustment Effect Of China’s Financial Industry Agglomeration

Under the background of the new economic normal,China s financial industry has shown a development trend of accelerated development and contrarian expansion.Financial resources flow rapidly across the world,forming a global network of financial activities.As the core of modern economic development,the financial industry provides an important support for the healthy development of the real economy,the efficiency of resource allocation,the emergence and growth of emerging businesses,and plays an incomparable role in the development of China’s national economy.Since the 1970s,the financial industry has gradually got rid of the limitations of space,agglomeration has become the basic form of modern financial industry organizations;Since the 1990s,with the rapid advancement of economic financialization and financial globalization,financial geography has developed rapidly;Since the global financial crisis in 2008,financialization has also become another widely circulated new concept following globalization in the 1990s and neoliberalism in the early 21st century.The development of financial geography has attracted more and more scholars’ attention.It has gradually become the hotspot and frontier of current academic research.Based on POI data totaling 254,480 points of interest,this paper uses the nuclear density method and SPSS and ArcGIS software to study the spatial pattern of banking,insurance,and securities sub-sectors at the provincial,urban,and city levels in China;On this basis,using the relevant statistical data of the provincial scale,using the geo-detector model,a brief analysis of the influencing factors of China s financial industry agglomeration.Finally,panel data of 31 provinces and cities in China were selected,and the system generalized moment estimation method was used to explore the impact of China s financial industry agglomeration on industrial restructuring.Through the enrichment and improvement of the dynamic mechanism of financial industry agglomeration,it provides targeted advice to accelerate the accumulation of financial industry and build(regional)financial centers.Through the research,the paper draws the following conclusions:①China’s financial industry agglomeration has shown obvious spatial differences in the country,forming a spatial pattern that is much higher in the eastern coastal areas than in the central and western regions.The overall distribution is consistent with the overall pattern of national economic development.The most prominent areas of financial industry agglomeration are mainly concentrated in the economically developed Yangtze River Delta,Beijing-Tianjin-Hebei and Pearl River Delta urban agglomerations.Beijing and Shanghai are always in high-gathering areas,and the financial industry in the western region has a low level of concentration.This conclusion is basically consistent with the academic research on the spatial pattern of China s financial industry.It shows that the research based on POI data has strong scientific and reliability.Compared with the research based on statistical(census)data,its timeliness,policy recommendations are more targeted and operational.②The factors affecting the financial industry agglomeration in the country and the eastern,central and western regions in 2010 and 2016 are different.In general,with the improvement of industrialization level,the influence of human resources,information flow,and economies of scale has gradually become prominent.From the interactive detection of impact factors,the impact factors are enhanced relations between the two,including nonlinear enhancement and two-factor enhancement,there is no weakened and independent relationship.③China’s financial industry agglomeration has positively promoted the upgrading of industrial structure.In addition,there is also a positive feedback effect that lags behind the first phase of industrial restructuring.④Through the use of POI big data to explore the spatial pattern of the financial industry,it can be said that the dependence on traditional data is detached to some extent,and it is also a meaningful attempt to apply big data to human geography.With the wide use of geo-detector methods,the application of this method in the field of financial industry agglomeration is discussed,and the application channel of this method is further broadened.