中国城市网络化空间联系结构——基于银行网点数据的研究

doi:10.18306/dlkxjz.2017.04.001

Abstract

Abstract:

This article analyzes the structural features of China's city network based on bank branches data covering 33 domestic and foreign banks as well as 336 urban administrative regions. The data, which includethe spatial distribution of these branches and their ranks and quantity, are processed using the interlocking world city network (IWCN) model, Zipf law, and social network analysis (SNA). The conclusions are as follows. (1) The connections between five major city agglomerations (Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing, and the middle reaches of the Yangtze River) serve as backbones of the network, and a significant difference of network density between eastern and western China as divided by the Hu Line is discovered. (2) The urban size distribution of interlock connectivity conforms to the Zipf law with a double fractal, and the distribution of each city's degree also suggests a significant difference between cities in eastern and western China. (3) The overall and relative interlocking connectivity of the top 50 large cities vary according to the types of banks that include state-owned, joint-stock, and foreign-owned. (4) A relatively strong correlation between connectivity and economic/population size of cities are also found. The structure of this urban network can be interpreted in terms of general spatial policy and industrial spatial policy, in which the interplay between differentiation and equalization shapes the unique and changing pattern of China's interurban bank network.

Key words: urban network, bank branches, interlocking world city network model, financial geography, China

Xueguang MA, Luqi LI. Network spatial connection structure of Chinese cities based on bank branches data[J].PROGRESS IN GEOGRAPHY, 2017, 36(4): 393-403.

Figures/Tables 7

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References 40

[16]	乔桂明, 卜亚. 2009. 中国国有银行改革的演化路径: 30年回眸与展望: 全球性金融危机下提升国有银行竞争力的战略选择[J]. 上海财经大学学报, 11(1): 79-85. doi: 10.3969/j.issn.1009-0150.2009.01.011
	[Qiao G M, Bu Y.2009. Evolution route of state-owned banking reform in China[J]. Journal of Shanghai University of Finance and Economics, 11(1): 79-85.] doi: 10.3969/j.issn.1009-0150.2009.01.011
[17]	王海江, 苗长虹. 2015. 中国中心城市铁路客运的空间联系及其结构图谱[J]. 地理研究, 34(1): 157-168. doi: 10.11821/dlyj201501014
	[Wang H J, Miao C H.2015. Railway passenger transport spatial contacts and their structure Tupu (array) of central cities in China[J]. Geographical Research, 34(1): 157-168.] doi: 10.11821/dlyj201501014
[18]	王媛, 姜博, 初楠臣, 等. 2016. 中国东北地区城市功能联系测度[J]. 城市问题, (3): 22-28.
	[Wang Y, Jiang B, Chu N C, et al.2016. Measurement on the urban functional contact of China’s northeast areas[J]. Urban Problems, (3): 22-28.]
[19]	魏后凯. 2011. 中国区域政策: 评价与展望[M]. 北京: 经济管理出版社.
	[Wei H K.2011. Regional policy in China: Review and outlook[M]. Beijing, China: Economic and Management Publishing House.]
[20]	武巍, 刘卫东, 刘毅. 2005. 西方金融地理学研究进展及其启示[J]. 地理科学进展, 24(4): 19-27. doi: 10.11820/dlkxjz.2005.04.003
	[Wu W, Liu W D, Liu Y.2005. Progress in financial geography in western countries and its implications for Chinese geographers[J]. Progress in Geography, 24(4): 19-27.] doi: 10.11820/dlkxjz.2005.04.003
[1]	陈晨, 修春亮. 2014. 流空间视角的东北地区城市网络研究[J]. 地域研究与开发, 33(4): 82-89.
	[Chen C, Xiu C L.2014. Research on city network of Northeast China based on space of flows[J]. Areal Research and Development, 33(4): 82-89.]
[21]	杨永春, 冷炳荣, 谭一洺, 等. 2011. 世界城市网络研究理论与方法及其对城市体系研究的启示[J]. 地理研究, 30(6): 1009-1020.
	[Yang Y C, Leng B R, Tan Y M, et al.2011. Review on world city studies and their implications in urban systems[J]. Geographical Research, 30(6): 1009-1020.]
[2]	段七零, 胡章鸿, 毛建明. 2012. 基于齐夫法则的江苏省旅游收入规模结构变化研究[J]. 人文地理, 27(3): 86-92.
	[Duan Q L, Hu Z H, Mao J M.2012. Study on the variation of scale structure of tourism income in Jiangsu Province based on Zipf law[J]. Human Geography, 27(3): 86-92.]
[3]	冯长春, 丰学兵, 刘思君. 2013. 高速铁路对中国省际可达性的影响[J]. 地理科学进展, 32(8): 1187-1194. doi: 10.11820/dlkxjz.2013.08.002
	[Feng C C, Feng X B, Liu S J.2013. Effects of high speed railway network on the inter-provincial accessibilities in China[J]. Progress in Geography, 32(8): 1187-1194.] doi: 10.11820/dlkxjz.2013.08.002
[22]	尹俊, 甄峰, 王春慧. 2011. 基于金融企业布局的中国城市网络格局研究[J]. 经济地理, 31(5): 754-759.
	[Yin J, Zhen F, Wang C H.2011. China's city network pattern: An empirical analysis based on financial enterprises layout[J]. Economic Geography, 31(5): 754-759.]
[4]	傅雪莹, 陈才, 刘继生, 等. 2011. 世界金融地理层级性研究[J]. 地理科学, 31(12): 1447-1453.
	[Fu X Y, Chen C, Liu J S, et al.2011. The geographic tiers of world financial system[J]. Scientia Geographica Sinica, 31(12): 1447-1453.]
[23]	张凤超. 2003. 金融地域运动: 研究视角的创新[J]. 经济地理, 23(5): 587-592. doi: 10.3969/j.issn.1000-8462.2003.05.003
	[Zhang F C.2003. The regional movement of finance: An innovation in studying view[J]. Economic Geography, 23(5): 587-592.] doi: 10.3969/j.issn.1000-8462.2003.05.003
[5]	贺灿飞, 刘浩. 2013. 银行业改革与国有商业银行网点空间布局: 以中国工商银行和中国银行为例[J]. 地理研究, 32(1): 111-122. doi: 10.11821/yj2013010012
	[He C F, Liu H.2013. Banking reform and locational strategy of state-owned commercial banks in China: An empirical study of Industrial and Commercial Bank of China and Bank of Chin[J]. Geographical Research, 32(1): 111-122.] doi: 10.11821/yj2013010012
[24]	赵渺希, 刘铮. 2012. 基于生产性服务业的中国城市网络研究[J]. 城市规划, 36(9): 23-28, 38.
	[Zhao M X, Liu Z.2012. Research on China’s city network based on production service industry[J]. City Planning Review, 36(9): 23-28, 38.]
[6]	侯赟慧, 刘洪. 2006. 基于社会网络的城市群结构定量化分析: 以长江三角洲城市群资金往来关系为例[J]. 复杂系统与复杂性科学, 3(2): 35-42. doi: 10.3969/j.issn.1672-3813.2006.02.005
	[Hou Y H, Liu H.2006. Quantitative analysis to the city agglomeration structure based on social network: A case study of capital exchange network of the Yangtse River Delta[J]. Complex Systems and Complexity Science, 3(2): 35-42.] doi: 10.3969/j.issn.1672-3813.2006.02.005
[25]	赵晓斌, 王坦. 2006. 跨国公司总部与中国金融中心发展: 金融地理学的视角与应用[J]. 城市规划, 30(增刊): 23-28.
	[Zhao X B, Wang T.2006. MNC headquarter agglomeration and financial centre development in China: A geography of finance perspective and application[J]. City Planning Review, 30(S): 23-28.]
[7]	季菲菲, 陈雯. 2013. 金融中心空间体系研究进展及其对长三角一体化的启示[J]. 经济地理, 33(2): 82-89.
	[Ji F F, Chen W.2013. An overview on spatial integration of financial centre and its implication in the Yangtze River Delta[J]. Economic Geography, 33(2): 82-89.]
[26]	甄峰, 王波, 陈映雪. 2012. 基于网络社会空间的中国城市网络特征: 以新浪微博为例[J]. 地理学报, 67(8): 1031-1043.
	[Zhen F, Wang B, Chen Y X.2012. China's city network characteristics based on social network space: An empirical analysis of Sina Micro-blog[J]. Acta Geographica Sinica, 67(8): 1031-1043.]
[8]	季菲菲, 陈雯. 2014. 长三角地区金融机构网络分布格局与扩张机理: 以城市商业银行为例[J]. 地理科学进展, 33(9): 1241-1251. doi: 10.11820/dlkxjz.2014.09.011
	[Ji F F, Chen W.2014. Distribution pattern and expansion mechanism of financial institution network in the Yangtze River Delta[J]. Progress in Geography, 33(9): 1241-1251.] doi: 10.11820/dlkxjz.2014.09.011
[27]	郑伯红, 汤建中. 2001. 跨国银行在华发展区位研究[J]. 世界地理研究, 10(4): 21-28. doi: 10.3969/j.issn.1004-9479.2001.04.004
	[Zheng B H, Tang J Z.2001. Study on the location of multinational banks in China abstract[J]. World Regional Studies, 10(4): 21-28.] doi: 10.3969/j.issn.1004-9479.2001.04.004
[9]	李小建. 2006. 金融地理学理论视角及中国金融地理研究[J]. 经济地理, 26(5): 721-725, 730. doi: 10.3969/j.issn.1000-8462.2006.05.001
	[Li X J.2006. A theoretical review of financial geography and study of financial geography in China[J]. Economic Geography, 26(5): 721-725, 730.] doi: 10.3969/j.issn.1000-8462.2006.05.001
[28]	Brenner N.2004. New state spaces: Urban governance and the rescaling of statehood[M]. Oxford, UK: Oxford University Press.
[29]	Castells M.1999. Grassrooting the space of flows[J]. Urban Geography, 20(4): 294-302. doi: 10.2747/0272-3638.20.4.294
[10]	李玮, 薛德升. 2013. 新世纪中国银行体制改革与地方银行机构网点的空间分布: 兼与全国性商业银行的比较[J]. 热带地理, 33(4): 420-428.
	[Li W, Xue D S.2013. Banking reform and location strategy of local banks in the new century: In comparison with national banks[J]. Tropical Geography, 33(4): 420-428.]
[30]	Derudder B, Taylor P J, Hoyler M, et al.2013. Measurement and interpretation of connectivity of Chinese cities in world city network, 2010[J]. Chinese Geographical Science, 23(3): 261-273. doi: 10.1007/s11769-013-0604-y
[31]	Derudder B, Witlox F.2005. An appraisal of the use of airline data in assessing the world city network: A research note on data[J]. Urban Studies, 42(13): 2371-2388. doi: 10.1080/00420980500379503
[11]	刘可文, 曹有挥, 肖琛, 等. 2012. 国家区域政策对央企空间布局的影响[J]. 地理研究, 31(12): 2139-2152.
	[Liu K W, Cao Y H, Xiao C, et al.2012. The effect of national and regional policy on spatial distribution of Central Enterprises[J]. Geographical Research, 31(12): 2139-2152.]
[32]	Hennemann S, Derudder B.2014. An alternative approach to the calculation and analysis of connectivity in the world city network[J]. Environment and Planning B, 41(3): 392-412. doi: 10.1068/b39108
[33]	Lardy N R.1995. The role of foreign trade and investment in china's economic transformation[J]. The China Quarterly, 144: 1065-1082. doi: 10.1017/S0305741000004732
[12]	路旭, 马学广, 李贵才. 2012. 基于国际高级生产者服务业布局的珠三角城市网络空间格局研究[J]. 经济地理, 32(4): 50-54.
	[Lu X, Ma X G, Li G C.2012. Spatial pattern of regional city network based on international advanced producer services' layout in Pearl River Delta[J]. Economic Geography, 32(4): 50-54.]
[34]	Rossi E C, Taylor P J.2005. Banking networks across Brazilian cities: Interlocking cities within and beyond Brazil[J]. Cities, 22(5): 381-393. doi: 10.1016/j.cities.2005.07.002
[35]	Taylor P J, Derudder B, Hoyler M, et al.2014. City-dyad analyses of China's integration into the world city network[J]. Urban Studies, 51(5): 868-882. doi: 10.1177/0042098013494419
[13]	马学广. 2016. 全球城市区域的空间生产与跨界治理研究[M]. 北京: 科学出版社.
	[Ma X G.2016. Quanqiu chengshi quyu de kongjian shengchan yu kuajie zhili yanjiu[M]. Beijing, China: Science Press.]
[36]	Taylor P J, Evans D M, Pain K.2008. Application of the inter-locking network model to mega-city regions: Measuring polycentricity within and beyond city-regions[J]. Regional Studies, 42(8): 1079-1093. doi: 10.1080/00343400701874214
[37]	Wu F, Zhang F.2010. China's emerging city region governance: Towards a research framework[J]. Progress in Planning, 73(1): 60-63.
[14]	马学广, 李贵才. 2012. 世界城市网络研究方法论[J]. 地理科学进展, 31(2): 255-263. doi: 10.11820/dlkxjz.2012.02.015
	[Ma X G, Li G C.2012. Research methods for world city network and relevant inspirations[J]. Progress in Geography, 31(2): 255-263.] doi: 10.11820/dlkxjz.2012.02.015
[38]	Yeung H W C.2005. Rethinking relational economic geography[J]. Transactions of the Institute of British Geographers, 30(1): 37-51.
[39]	Zhao M X, Liu X J, Derudder B, et al.2015. Mapping producer services networks in mainland Chinese cities[J]. Urban Studies, 52(16): 3018-3034. doi: 10.1177/0042098014558541
[15]	潘峰华, 徐晓红, 夏亚博, 等. 2014. 境外金融地理学研究进展及启示[J]. 地理科学进展, 33(9): 1231-1240. doi: 10.11820/dlkxjz.2014.09.010
	[Pan F H, Xu X H, Xia Y B, et al.2014. Progresses of financial geography and implications[J]. Progress in Geography, 33(9): 1231-1240.] doi: 10.11820/dlkxjz.2014.09.010
[40]	Zhao M X, Wu K, Liu X J, et al.2015. A novel method for approximating intercity networks: An empirical comparison for validating the city networks in two Chinese city-regions[J]. Journal of Geographical Sciences, 25(3): 337-354. doi: 10.1007/s11442-015-1172-0

联通度等级	联通度区间	连线数量
1	0.40~1.00	27
2	0.20~0.40	132
3	0.10~0.20	545
4	0.05~0.10	1656
5	0.02~0.05	7640

Network spatial connection structure of Chinese cities based on bank branches data

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