合肥城區(qū)銀行機構空間布局及優(yōu)化研究
本文選題:商業(yè)銀行 切入點:空間分布形態(tài) 出處:《安徽農(nóng)業(yè)大學》2014年碩士論文
【摘要】:區(qū)域性金融中心集聚大量金融機構,其信息通常、設施先進,能夠提供高效金融服務。由于大量金融資本、人力資源和其它生產(chǎn)要素向區(qū)域性金融中心的集中,該區(qū)域及周邊地區(qū)的社會經(jīng)濟將得到快速發(fā)展。2010年初,國務院將安徽沿江城市帶承接產(chǎn)業(yè)轉移示范區(qū)建設納入國家發(fā)展戰(zhàn)略,皖江城市帶作為促進中西部地區(qū)崛起戰(zhàn)略的重點開發(fā)區(qū)域。合肥市經(jīng)濟總量占安徽省經(jīng)濟比重不斷上升,對安徽地區(qū)乃至中西部地區(qū)實現(xiàn)經(jīng)濟快速發(fā)展的重要地位不斷強化。鑒于北京、上海作為國家金融中心城市對地區(qū)經(jīng)濟建設的重要影響,安徽省積極推動合肥市作為國家次金融中心的建設。論文主要基于合肥市中心城區(qū)二環(huán)以內區(qū)域的商業(yè)銀行機構矢量化空間分布數(shù)據(jù),對整體商業(yè)銀行機構進行多種實證方法進行系統(tǒng)分析。主要研究不同類別商業(yè)銀行機構的空間分布形態(tài)及其特征,分析銀行機構空間分布驅動機理,以充實相關研究成果。結合合肥市中心城區(qū)建設規(guī)劃,提出優(yōu)化研究系統(tǒng)區(qū)內銀行機構空間布局建議。具體研究結論:(1)研究系統(tǒng)區(qū)內,國有商業(yè)銀行空間分布集聚程度最高,股份制商業(yè)銀行較為集聚,區(qū)域性商業(yè)銀行空間分布是隨機的。交通可達性對商業(yè)銀行機構的空間分布影響顯著。整體商業(yè)銀行機構空間分布方向性顯著,整體具有向東北和西南兩個方向擴張的趨勢。銀行機構空間分布中心要素均位于核心城區(qū)省委附近。緩沖區(qū)圈層分析表明,整體商業(yè)銀行機構空間分布呈中心集聚態(tài)勢,以國有商業(yè)銀行中心集聚特征最為顯著,股份制商業(yè)銀行其次,區(qū)域性商業(yè)銀行沒有顯著的中心集聚特征。緩沖區(qū)扇形分析表明,銀行機構空間分布具有顯著的方向性。核密度分析結果表明,整體商業(yè)銀行機構空間分布呈多點集聚態(tài)勢,國有商業(yè)銀行分布表現(xiàn)為“大分散、大聚集’模式的中心區(qū)多點聚集格局,股份制商業(yè)銀行則表現(xiàn)為“大分散、小聚集”模式,區(qū)域性商業(yè)銀行聚集不明顯,且核密度等級較低,屬于“大分散、不聚集”模式。(2)商業(yè)銀行機構空間分布馳動機理表明,建設用地擴展蔓延趨勢、交通可達性、經(jīng)濟活動對商業(yè)銀行機構空間分布形態(tài)的影響重大。從借助銀行機構空間布局優(yōu)化來促進金融產(chǎn)業(yè)布局優(yōu)化的角度而言,應從三個方面著手:一是強化老城區(qū)銀行機構集聚效果。二是構建副核心金融操作區(qū),緩解老城區(qū)金融服務的壓力、降低合肥市中心城區(qū)南部地區(qū)及西部地區(qū)獲取金融服務的交通成本。三構建多層次銀行機構空間分布體系。通過政府規(guī)劃作用,加速銀行機構向重點建設公共服務區(qū)的變遷,滿足居民消費結構升級的新形勢對銀行服務的需求。借助副核心金融操作區(qū)及新站區(qū)銀行機構集聚區(qū)滿足工業(yè)化升級對銀行服務的需求。
[Abstract]:Regional financial centres gather a large number of financial institutions whose information is usually advanced and capable of providing efficient financial services. Due to the concentration of large amounts of financial capital, human resources and other factors of production into regional financial centres, The social and economic development of the region and its surrounding areas will be rapid. In early 2010, the State Council has incorporated the construction of industrial transfer demonstration zones along the Yangtze River in Anhui Province into the national development strategy. As a key development area of the strategy to promote the rise of the central and western regions, the urban belt in Anhui Province is the focus of development. The total economic volume of Hefei City accounts for an increasing proportion of the economy in Anhui Province. The important position of realizing rapid economic development in Anhui and even the central and western regions has been continuously strengthened. In view of the important impact of Beijing and Shanghai as the national financial center on regional economic construction, Anhui Province actively promotes the construction of Hefei as a national sub-financial center. This paper is mainly based on the vectorized spatial distribution data of commercial banking institutions in the second ring area of downtown Hefei. This paper makes a systematic analysis of various empirical methods for the whole commercial banking institutions. It mainly studies the spatial distribution patterns and characteristics of different types of commercial banking institutions, and analyzes the driving mechanism of the spatial distribution of banking institutions. In order to enrich the relevant research results, combined with the construction planning of Hefei city center, the paper puts forward some suggestions for optimizing the spatial layout of banking institutions in the research system area. The concrete research conclusion is that the state-owned commercial banks have the highest degree of spatial distribution and agglomeration in the research system area. The spatial distribution of regional commercial banks is random. Traffic accessibility has a significant impact on the spatial distribution of commercial banking institutions. The central elements of the spatial distribution of banking institutions are located near the provincial party committee of the core urban area. The analysis of the buffer zone layer shows that the spatial distribution of the whole commercial banking institutions shows a central agglomeration trend. The central agglomeration of state-owned commercial banks is the most obvious, the joint-stock commercial banks is the second, and the regional commercial banks have no obvious central-agglomeration characteristics. The sector analysis of buffer zone shows that, The results of nuclear density analysis show that the spatial distribution of the whole commercial bank is multi-point agglomeration, and the distribution of state-owned commercial bank is "large dispersion". The pattern of multi-point aggregation in the central area of the "large aggregation" model, the "large dispersion, small aggregation" pattern of joint-stock commercial banks, the low nuclear density of regional commercial banks is not obvious and belongs to "large dispersion". The mechanism of spatial distribution of commercial banks shows that the expansion and spread trend of construction land, the accessibility of traffic, The influence of economic activities on the spatial distribution of commercial banking institutions is significant. From the perspective of optimizing the spatial distribution of banking institutions to promote the optimization of the layout of financial industry, We should start from three aspects: one is to strengthen the agglomeration effect of banking institutions in old urban area, the other is to construct sub-core financial operation area to relieve the pressure of financial service in old urban area. To reduce the transportation costs of obtaining financial services in the southern and western areas of downtown Hefei. Thirdly, to construct a multi-level distribution system of banking institutions. Through the role of government planning, the transition of banking institutions to key public service areas can be accelerated. To meet the needs of banking services in the new situation of consumer structure upgrading, and to meet the demand for banking services in industrial upgrading with the help of sub-core financial operation areas and banking agglomeration areas of new stations.
【學位授予單位】:安徽農(nóng)業(yè)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F832.3
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