地理科学 ›› 2017, Vol. 37 ›› Issue (12): 1867-1874.doi: 10.13249/j.cnki.sgs.2017.12.010
收稿日期:
2017-03-10
修回日期:
2017-07-12
出版日期:
2017-12-20
发布日期:
2017-12-20
作者简介:
作者简介:车冰清(1981-),男,江苏沛县人,博士研究生,副教授,主要从事空间结构与区域发展研究。E-mail:
基金资助:
Bingqing Che1,2(), Chuangeng Zhu3, Min Li1
Received:
2017-03-10
Revised:
2017-07-12
Online:
2017-12-20
Published:
2017-12-20
Supported by:
摘要:
以江苏省为研究对象,基于网络平台的银行网点地理数据,运用最近邻指数、Ripley’s K函数以及多元线性回归等分析方法,分别对五大商业银行、农业金融机构、中小商业银行、江苏地方银行以及外资银行的空间分布特征进行探讨,并揭示不同类型银行网点区位选择的影响因素。研究结果:整体上,江苏省银行网点空间偏向分布差异明显“南多北少”,空间集聚特征显著“城区密集分布和外围分散分布”;不同类型银行由于功能和市场定位的不同,除在城区密集分布的共性外,在城市外围区域的分布密度和服务范围存在较大差异。城市建成区面积、人口规模、人均地区生产总值、规模以上工业企业数量、城镇化率、二三产业产值比重是影响银行网点区位选择的主要因素,但对不同类型银行网点分布的影响程度不同。五大商业银行网点分布倾向于人口规模大、城镇化率高的城市,农业金融机构网点更依赖于农业人口因素,中小商业银行网点偏爱二三产业发达的区域,规模以上工业企业数量对江苏地方银行网点的布局具有显著影响,外资银行主要分布在对外开放程度高和国外资本输入较多的城市。城市行政级别和城市性质等制度因素对农业金融机构、外资银行网点区位选择的影响作用较强。
中图分类号:
车冰清, 朱传耿, 李敏. 江苏省银行网点分布格局及其影响因素研究[J]. 地理科学, 2017, 37(12): 1867-1874.
Bingqing Che, Chuangeng Zhu, Min Li. Distribution Pattern of Banks in Jiangsu Province and Its Influencing Factors[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(12): 1867-1874.
表2
江苏省银行网点分布的多元线性回归模型估计结果"
变量 | FB | RB | MB | JB |
---|---|---|---|---|
lnA | -0.09325 | 0.2398 | -0.01421 | 0.4137 |
lnG | 0.12109 | 0.5616 | 0.79982 | 1.1379 |
lnU | 0.38037 | -0.8699 | -5.51687 | 0.5689 |
lnT | -0.10075 | 0.1591 | 0.97895 | -0.2089 |
lnP | 0.41947 | 0.4738 | 0.62916 | -1.1171 |
lnE | 0.13904 | -0.1291 | -0.01414 | 0.6091 |
C | 0.03421 | -0.3035 | 0.67168 | -0.2604 |
F | 0.05842 | 0.3090 | 0.18651 | 0.5978 |
常数项 | -6.98551 | -6.4874 | -2.62794 | -10.4350 |
F检验 | 17.79 | 7.887 | 7.778 | 6.283 |
Adj. R2 | 0.918 | 0.8211 | 0.8188 | 0.7789 |
同方差性检验(>0.05) | 0.8346 | 0.61244 | 0.4025 | 0.80607 |
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