南京市新街口CBD服务业空间集聚及演变特征——基于微观企业数据

doi:10.18306/dlkxjz.2020.11.005

Abstract

Abstract:

The classic theory of central business district (CBD) internal industry spatial distribution originated from the west, and its applicability in China needs to be tested empirically. Based on the micro enterprise data from 2000 to 2018 classified by machine learning, this study analyzed the industrial structure, agglomeration degree, spatial distribution characteristics, and so on in order to explore the spatial and temporal change and spatial agglomeration characteristics of service industry in Xinjiekou, a typical urban center CBD in China. The results show that: 1) The change of service industry structure in Xinjiekou shows that the number of productive services continues to lead, the growth rate of circulation services has slowed down, and the gap between consumer services and information services has widened. There is no trend of specialization in general; in comparison with the whole city, consumer services have stronger comparative advantages, and the advantages expanded over time. 2) The extent of agglomeration is divided. The change of the extent of industry agglomeration is reflected in the overall agglomeration of consumer service industry, social service industry, and information service industry, among which the highest extent of agglomeration is in catering, entertainment, and residential service industries. The retail industry is experiencing decentralization and shows an opposite trend compared with catering, entertainment, and residential services. The productive service industry has polarized. The financial service industry shows the trend of agglomeration and the research and development (R&D) and design service industry is experiencing decentralization. 3) The change of spatial distribution shows the trend of double zonal contraction as a whole. Productive service industry and consumer service industry are highly coupled. The cluster center of social service industry tends to move to the core, and circulation service industry and information service industry are gathering in the outer circle.

Key words: industrial agglomeration, service industry, CBD, Xinjiekou of Nanjing City

CUI Zhe, SHEN Lizhen, LIU Zishen. Spatial agglomeration characteristics of service industry in Xinjiekou CBD of Nanjing City and change: Based on micro enterprise data[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1832-1844.

Figures/Tables 11

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References 39

[1]	申玉铭, 柳坤, 邱灵. 中国城市群核心城市服务业发展的基本特征[J]. 地理科学进展, 2015,34(8):957-965.
	[ Shen Yuming, Liu Kun, Qiu Ling. Characteristics of services development of core cities in urban agglomerations of China. Progress in Geography, 2015,34(8):957-965. ]
[2]	方远平, 闫小培. 服务业区位论:概念、理论及研究框架[J]. 人文地理, 2008,23(5):12-16.
	[ Fang Yuanping, Yan Xiaopei. Service industrial location: Concept, theory and research framework. Human Geography, 2008,23(5):12-16. ]
[3]	蒋三庚. 现代服务业集聚若干理论问题研究[J]. 北京工商大学学报(社会科学版), 2008(1):42-45.
	[ Jiang Sangeng. Research on theoretical problems in modern service industry concentration. Journal of Beijing Technology and Business University (Social Science), 2008(1):42-45. ]
[4]	邱灵. 北京市生产性服务业空间结构演化机理研究[J]. 中国软科学, 2013(5):74-91.
	[ Qiu Ling. The evolution mechanism of producer services' spatial structure in Beijing City. China Soft Science, 2013(5):74-91. ]
[5]	Helbich M. Beyond postsuburbia? Multifunctional service agglomeration in Vienna's urban fringe[J]. Tijdschrift voor Economische en Sociale Geografie, 2012,103(1):39-52.
[6]	Drennan M P, Kellyy H F. Measuring urban agglomeration economies with office rents[J]. Journal of Economic Geography, 2011,11(3):481-507.
[7]	Sassen S. The global city: New York, London, Tokyo[M]. Princeton, USA: Princeton University Press, 2013.
[8]	Han S S, Qin B. The spatial distribution of producer services in Shanghai[J]. Urban Studies, 2009,46(4):877-896.
[9]	Pan F, Guo J, Zhang H, et al. Building a "Headquarters Economy": The geography of headquarters within Beijing and its implications for urban restructuring[J]. Cities, 2015,42:1-12.
[10]	Yi H, Yang F F, Yeh A G O. Intraurban location of producer services in Guangzhou, China[J]. Environment and Planning A, 2011,43(1):28-47.
[11]	蒋三庚. 中国主要CBD现代服务业集聚发展对策研究[J]. 首都经济贸易大学学报, 2010,12(4):22-28.
	[ Jiang Sangeng. Strategies for developing modern service industries in the major CBD areas in China. Journal of Capital University of Economics and Business, 2010,12(4):22-28. ]
[12]	蒋三庚. CBD与现代服务业企业集群研究[J]. 首都经济贸易大学学报, 2006(5):72-76.
	[ Jiang Sangeng. Study on CBD and modern service enterprise groups. Journal of Capital University of Economics and Business, 2006(5):72-76. ]
[13]	武占云, 王业强. CBD现代服务业集聚机制与发展对策[J]. 开发研究, 2016(4):133-138.
	[ Wu Zhanyun, Wang Yeqiang. Modern service industry agglomeration mechanism and development strategy in CBD. Research on Development, 2016(4):133-138. ]
[14]	宁越敏, 刘涛. 上海CBD的发展及趋势展望[J]. 现代城市研究, 2006(2):67-72.
	[ Ning Yuemin, Liu Tao. An investigation on the development of Shanghai CBD and its developing prospect. Modern Urban Research, 2006(2):67-72. ]
[15]	Murphy R E, Vance Jr J E, Epstein B J. Internal Structure of the CBD[J]. Economic Geography, 1955,31(1):21-46.
[16]	Scott P. The Australian CBD[J]. Economic Geography, 1959,35(4):290-314.
[17]	Bowden M J. Downtown through time: Delimitation, expansion, and internal growth[J]. Economic Geography, 1971,47(2):121-135.
[18]	刘逸, 闫小培, 周素红. 中外CBD研究分析与比较[J]. 城市规划学刊, 2007(1):25-32.
	[ Liu Yi, Yan Xiaopei, Zhou Suhong. Analysis and comparision of the CBD study between domestic China and overseas. Urban Planning Forum, 2007(1):25-32. ]
[19]	史进, 贺灿飞. 企业空间动态研究进展[J]. 地理科学进展, 2014,33(10):1342-1353.
	[ Shi Jin, He Canfei. Research progress in spatial dynamics of firms. Progress in Geography, 2014,33(10):1342-1353. ]
[20]	Briant A, Combes P P, Lafourcade M. Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations?[J]. Journal of Urban Economics, 2010,67(3):287-302.
[21]	Koh H-J, Riedel N. Assessing the localization pattern of German manufacturing and service industries: A distance-based approach[J]. Regional Studies, 2014,48(5):823-843.
[22]	李江苏, 梁燕, 王晓蕊. 基于POI数据的郑东新区服务业空间聚类研究[J]. 地理研究, 2018,37(1):145-157.
	[ Li Jiangsu, Liang Yan, Wang Xiaorui. Spatial clustering analysis of service industries in Zhengdong New District based on POI data. Geographical Research, 2018,37(1):145-157. ]
[23]	李阳, 陈晓红. 哈尔滨市商业中心时空演变与空间集聚特征研究[J]. 地理研究, 2017,36(7):1377-1385.
	[ Li Yang, Chen Xiaohong. Spatio-temporal evolution and spatial agglomeration of Harbin commercial center. Geographical Research, 2017,36(7):1377-1385. ]
[24]	张延吉, 吴凌燕, 秦波. 北京市生产性服务业的空间集聚及影响因素: 基于连续平面的测度方法[J]. 中央财经大学学报, 2017(9):111-118.
	[ Zhang Yanji, Wu Lingyan, Qin Bo. Spatial agglomeration and influencing factors of producer service industries in Beijing: Based on continuous space methods. Journal of Central University of Finance and Economics, 2017(9):111-118. ]
[25]	蒋海兵, 张文忠, 余建辉. 杭州生产性服务业的时空格局演变[J]. 经济地理, 2015,35(9):103-111.
	[ Jiang Haibing, Zhang Wenzhong, Yu Jianhui. Spatial and temporal pattern evolution of urban producer services in Hangzhou. Economic Geography, 2015,35(9):103-111. ]
[26]	王庆喜, 胡志学. 长三角地区研发企业集聚与知识溢出强度: 连续空间中的微观分析[J]. 地理科学, 2018,38(11):1828-1836.
	[ Wang Qingxi, Hu Zhixue. A micro-level analysis on R&D firm agglomeration and magnitude of knowledge spillovers in continuous space. Scientia Geographica Sinica, 2018,38(11):1828-1836. ]
[27]	吴丹丹, 马仁锋, 张悦, 等. 杭州文化创意产业集聚特征与时空格局演变[J]. 经济地理, 2018,38(10):127-135.
	[ Wu Dandan, Ma Renfeng, Zhang Yue, et al. Agglomeration characteristics and spatio-temporal evolution of cultural and creative industry in Hangzhou. Economic Geography, 2018,38(10):127-135. ]
[28]	刘孟阳, 林爱文. 基于空间分析方法的武汉市创意产业空间集聚演化研究[J]. 人文地理, 2015,30(6):113-120.
	[ Liu Mengyang, Lin Aiwen. The research on evolution characteristics of spatial agglomeration of urban creative industries in Wuhan based on spatial analysis. Human Geography, 2015,30(6):113-120. ]
[29]	Ripley B D. The second-order analysis of stationary point processes[J]. Journal of Applied Probability, 1976,13(2):255-266.
[30]	Duranton G, Overman H G. Testing for localization using micro-geographic data[J]. The Review of Economic Studies, 2005,72(4):1077-1106.
[31]	Marcon E, Puech F. Measures of the geographic concentration of industries: Improving distance-based methods[J]. Journal of Economic Geography, 2009,10(5):745-762.
[32]	Scholl T, Brenner T. Detecting spatial clustering using a firm-level cluster index[J]. Regional Studies, 2016,50(6):1054-1068.
[33]	李汉青, 袁文, 马明清, 等. 珠三角制造业集聚特征及基于增量的演变分析[J]. 地理科学进展, 2018,37(9):1291-1302.
	[ Li Hanqing, Yuan Wen, Ma Mingqing, et al. Manufacturing industry agglomeration characteristics in the Pearl River Delta and evolution based on growth data. Progress in Geography, 2018,37(9):1291-1302. ]
[34]	国家统计局. GB/T 4754—2017, 国民经济行业分类[S].
	[ National Bureau of Statistics of China. GB/T 4754—2017, Industrial classification for national economic activities. ]
[35]	Singelmann J. From agriculture to services: The transformation of industrial employment[M]. Beverly Hills, USA: Sage Publications, 1978.
[36]	Elfring T. An international comparison of service sector employment growth[J]. UNECE Discussion Papers, 1992,2(1):13-25.
[37]	秦萧, 甄峰, 朱寿佳, 等. 基于网络口碑度的南京城区餐饮业空间分布格局研究: 以大众点评网为例[J]. 地理科学, 2014,34(7):810-817.
	[ Qin Xiao, Zhen Feng, Zhu Shoujia, et al. Spatial pattern of catering industry in Nanjing urban area based on the degree of public praise from internet: A case study of Dianping.com. Scientia Geographica Sinica, 2014,34(7):810-817. ]
[38]	周麟, 沈体雁. 大城市内部服务业区位研究进展[J]. 地理科学进展, 2016,35(4):409-419.
	[ Zhou Lin, Shen Tiyan. Progress of services location studies in metropolis. Progress in Geography, 2016,35(4):409-419. ]
[39]	Dong H. Concentration or dispersion? Location choice of commercial developers in the Portland metropolitan area, 2000-2007[J]. Urban Geography, 2013,34(7):989-1010.

服务业分组	行业代码与名称
生产性服务业	66 货币金融服务,67 资本市场服务,68 保险业,69 其他金融业,70 房地产业,71 租赁业,72 商务服务业,73 研究与试验发展,74 专业技术服务业,75 科技推广与应用服务业
流通性服务业	51 批发业,52 零售业,53 铁路运输业,54 道路运输业,55 水上运输业,56 航空运输业,57 管道运输业,58 多式联运和运输代理业,59 装卸搬运和仓储业,60 邮政业
消费性服务业	61 住宿业,62 餐饮业,80 居民服务业,81 机动车、电子产品和日用产品修理业,82 其他服务业,88 文化艺术业,89 体育,90 娱乐业
社会性服务业	76 水利管理业,77 生态保护和环境治理业,78 公共设施管理业,79 土地管理业,83 教育,84 卫生,85 社会工作
信息服务业	63 电信、广播电视和卫星传输服务,64 互联网和相关服务,65 软件和信息技术服务业,86 新闻和出版业,87 广播、电视、电影和录音制作业

时段		生产性服务业	社会性服务业	流通性服务业	消费性服务业	信息服务业	总计
2000—2004年	全市	36.34	2.52	23.61	16.64	20.88	100
	新街口	40.10	2.48	20.19	17.18	20.05	100
	比例差值	3.76	-0.04	-3.43	0.54	-0.83
2005—2009年	全市	37.54	3.41	22.59	16.82	19.64	100
	新街口	40.52	3.78	19.94	17.85	17.91	100
	比例差值	2.98	0.38	-2.66	1.03	-1.73
2010—2014年	全市	39.63	3.70	20.38	18.07	18.22	100
	新街口	42.28	4.89	17.01	20.82	15.01	100
	比例差值	2.65	1.19	-3.37	2.75	-3.22
2015—2018年	全市	35.72	5.68	15.42	20.61	22.57	100
	新街口	37.57	6.87	13.71	23.16	18.68	100
	比例差值	1.86	1.19	-1.71	2.55	-3.89

Spatial agglomeration characteristics of service industry in Xinjiekou CBD of Nanjing City and change: Based on micro enterprise data

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