大都市中心区生产性服务业集群的空间溢出——以广州市天河区为例

doi:10.13959/j.issn.1003-2398.2020.04.014

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Abstract The spatial spillover is the combination of the knowledge spillover, the market spillover and other forms of spillover in a geographical space. It is of great significance to the formation and development of the industrial cluster. Nevertheless, the mechanism of its effects on the industrial cluster is still not very clear. Therefore, it is necessary and applicative to analysis the industrial cluster of the productive services at the central metropolitan area from the perspective of spatial spillover. In this paper, a grid of 1km×1km-fishnet created in the software of ArcMap is applied to identify the location of 28,134 firms of the productive services in the study area of Tianhe district, central Guangzhou city of China. Industrial cluster are detected, the characteristics of the cluster are analyzed and the spatial spillover effects are explored using spatial data analysis method and spatial regression model. Hot spot analysis and spatial outlier analysis are deployed on the whole productive services and it's 6 sub-sectors, which are the information services, the modern commercial and trade, the financial services, the professional services, the technological services and the cultural and creative industry. The result shows that industrial cluster of the productive services tend to emerge at the central area of the big city, with 5 types been detected. It's also found that cluster of the 6 sub-sectors of the productive services diverse in spatial pattern, their spatial distribution and forms appear imperfect match with each other as a result from the specialization at the same time the diversification respectively.

Key words： industrial cluster productive services spatial spillover

Received: 02 August 2019

PACS:

K902

	Service

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	TENG Li
	CAI Di
	LIN Zhang-ping

Cite this article:

TENG Li,CAI Di,LIN Zhang-ping. ANALYSIS OF THE SPILLOVER EFFECT OF PRODUCTIVE SERVICES CLUSTER IN CENTRAL METROPOLITAN AREA: TAKING TIANHE DISTRICT OF GUANGZHOU AS AN EXAMPLE[J]. HUMAN GEOGRAPHY, 2020, 35(4): 111-120.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2020.04.014 OR http://rwdl.xisu.edu.cn/EN/Y2020/V35/I4/111

[1]	Krugman P. Geography and Trade[M]. Cambridge:The MIT Press, 1991:30-55.
[2]	雷宏振,潘龙梅.中国文化产业空间聚集特征研究[J]. 东岳论丛, 2011,32(8):114-117.[Lei Hongzhen, Pan Longmei. Study on the characters of spatial agglomeration in cultural industries China[J]. Dongyue Tribune, 2011,32(8):114-117.]
[3]	宋加强.我国生产性服务业空间分布研究——基于省际数据的联立方程组分析[J]. 商业时代,2014,18:123-124.[Song Jiaqiang. Study on distribution of productive-services in China:Analysis of simultaneous equations based on provincial data[J]. Commercial Times, 2014,18:123-124.]
[4]	陈明生,孙怡,靳晓静.大都市中心区高关联度服务业的聚集布局研究[J]. 经济体制改革,2011(2):44-47.[Chen Mingsheng, Sun Yi, Jin Xiaojing. Study on cluster pattern of high correlation service industry in central district of urban[J]. Reform of Economic System, 2011(2):44-47.]
[5]	赵群毅,谢从朴,王茂军,等.北京都市区生产者服务业地域结构[J]. 地理研究,2009,28(5):1401-1413.[Zhao Qunyi, Xie Congpu, Wang Maojun, et al. Study on territorial structure of producer services in Beijing metropolitan area[J]. Geographical Research, 2009,28(5):1401-1413.]
[6]	Yang Z S, Liang J S, Cai J M. Urban economic cluster template and its dynamics of Beijing, China[J]. Chinese Geographical Science, 2014,24(6):740-750.
[7]	Eri Y, Tetsu K. Assessing dynamic externalities from a cluster perspective:The case of the motor metropolis in Japan[J]. The Annals of Regional Science, 2015,54:269-298.
[8]	Julia K. Inter-industrial relations and sectoral employment[J]. Development in German Regions, 2013,233:486-504.
[9]	Sun X C, Yang X L. China's service outsourcing industrial cluster development[J]. Management Science and Engineering, 2015,9(2):24-30.
[10]	Marshall A. Principles of Economics[M]. London:Macmillan, 1920:10-25.
[11]	Arrow K J. The economic implications of learning by doing[J]. Review of Economic Studies, 1962,29(3):155-173.
[12]	Romer P M. Endogenous technological change[J]. Journal of Political Economy, 1990,98(5):71-102.
[13]	Krugman P. First nature, second nature, and metropolitan location[J]. Journal of Regional Science, 1993,33(2):129-144.
[14]	Martin P, Ottaviano G. Growing locations:Industry in a model of endogenous growth[J]. European Economic Reviews, 1999,43:281-302.
[15]	Baldwin R, Martin P, Ottaviano G. Global Income divergence, trade and industrialization:The geography of growth take-off[J]. Journal of Economic Growth, 2001,6(1):5-37.
[16]	王铮,朱艳鑫,毛可晶.产业集群的两个理论模型[J]. 科研管理, 2008,29(5):49-62.[Wang Zheng, Zhu Yanxin, Mao Kejing. Two theoretical models for industry cluster[J]. Science Research Management, 2008,29(5):49-62.]
[17]	Mark L, Ram M. Clusters, connectivity and catch-up:Bollywood and Bangalore in the global economy[J]. Journal of Ecomonic Geography, 2013,13:501-534.
[18]	Schmidt S. Balancing the spatial localisation ‘Tilt’:Knowledge spillovers in processes of knowledge-intensive services[J]. Geoforum, 2015,65:374-386.
[19]	Henderson J V. Marshall's scale economies[J]. Journal of Urban Economics, 2003,53:1-28.
[20]	Tsai B H. Innovation characteristics, industrial clusters and intra-industry spillover effects in integrated circuit industry[J]. International Journal of Innovation and Technology Management, 2013,10(4):1-20.
[21]	Zheng L, Zhao Z. What drives spatial clusters of entrepreneurship in China? Evidence from economic census data[J]. China Economic Review, 2017,46:229-248.
[22]	Dario D, Neffke F, O'Clery N. Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time[J]. Journal of Urban Economics, 2018,106:1-26.
[23]	吴一洲,应四爱,王琳.城市生产性服务业空间格局与规划——理论, 案例与方法[M]. 北京:中国建筑工业出版社,2016:20-30.[Wu Yizhou, Ying Siai, Wang Lin. Spatial Pattern and Planning for Productive-service in Urban:Theory, Case and Method[M]. Beijing:China Architecture & Building Press, 2016:20-30.]
[24]	Bathelt H. Cluster relations in the media industry:Exploring the ‘distanced neighbour’ paradox in Leipzig[J]. Regional Studies, 2010, 39(1):105-127.
[25]	Elsner W. Regional service clusters and networks. Two approaches to empirical identification and development:The case of logistics in the German port city-states Hamburg and Bremen[J]. International Review of Applied Economics, 2010,24(1):1-33.
[26]	Anselin I. Spatial Econometrics, Methods and Models[M]. Boston:Kluwer Academic Publishers, 1988:20-38.