An Analysis for Location Factors that Cause Industrial Agglomeration

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  • 1. Institute of Policy and Management, CAS, Beijing 100080, China;
    2. Geocomputation Key Lab of CEDD, East China Normal University, Shanghai 200062, China;
    3. Institute of Commonality Management, Shenzhen University, Guangzhou 518060, China

Received date: 2005-02-03

  Revised date: 2005-05-11

  Online published: 2005-07-25

Supported by

National Natural Science Foundation of China, No.40070010

Abstract

In this paper, the concepts of agglomeration and cluster are discussed firstly, which shows that the forming of high-tech industrial agglomeration depends on industrial cluster. Based on such a cognition, the location factors that affect the distribution of industrial agglomeration are analyzed in detail. Then these factors are quantified and the model is set up, which validate these factors' influence on high-tech industrial agglomeration. The results indicate that: (1) Agglomeration is the spatial centralization of industry, capital and population. And the location factors that can cause industrial agglomeration are: knowledge spillover environment, human capital conglomeration, climate environment, commercial and trade circumstance, traffic condition and supply chain environment. (2) Among the six location factors, knowledge spillover environment, human capital conglomeration and climate environment are the decisive factors that form high-tech industry.

Cite this article

WANG Zheng, MAO Kejing, LIU Xiao, ZHAO Jingyuan, XIE Shuling . An Analysis for Location Factors that Cause Industrial Agglomeration[J]. Acta Geographica Sinica, 2005 , 60(4) : 567 -576 . DOI: 10.11821/xb200504005

References


[1] Goodfriend M, McDermott J. Early development. The American Economic Review, 1995, 85: 116-133.

[2] Wei Xinzhen, Wang Jici. New Industry Space. Beijing: Peking University Press, 1993: 25-35.
[魏心镇, 王缉慈. 新的产业空间. 北京: 北京大学出版社, 1993. 25-35.]

[3] Yao Kai. Location factors of high-tech industry. Industry Economy, 1996: 23-26.
[姚凯. 论高技术产业的区位因素. 产业经济, 1996: 23-26.]

[4] Mccormick D. African enterprise clusters and industrialization: theory and reality. World Development, 1999, 27(9): 1531-1551.

[5] Wang Zheng. Making positive researches on the base - knowledge industrial location. Science Research Management, 1999, 20(3): 101-108.
[王铮. 知识型区位的实证分析, 科研管理, 1999, 20(3): 101-108.]

[6] Xu Chensheng. Learning on location theory of high-tech industry. Soft Science, 1999, (3): 1-4.
[许陈生. 高技术产业区位理论探悉. 软科学, 1999, (3): 1-4.]

[7] Athreye S. Agglomeration and growth: a study of the Cambridge high-tech cluster. Building High-Tech Cluster Silicon Valley and Beyond. Cambridge: Cambridge University Press, 2004.

[8] Yi Ling Ku, Shu-Jong Liau, Woan-Chiau Hsing. The high-tech milieu and innovation-oriented development. Technovation, 2005, 25: 145-153.

[9] Wang Zheng, Deng Yue, Ge Zhaopan et al. Theoretical Economic Geography. Beijing: Science Press, 2002. 70-74.
[王铮, 邓悦, 葛昭攀 等. 理论经济地理学. 北京: 科学出版社, 2002. 70-74.]

[10] Liang Wen. Analysis on location factors of high-tech enterprise. Enterprise Management, 2003, (5): 103-109.
[梁文. 高技术企业的区位因素分析. 企业管理, 2003, (5): 103-109.]

[11] Arrow K J. The economic implications, political instability, and investment. NBER Working Paper, No.4486, 1962. 10.

[12] Schmutzler A. Changing places:the role of heterogeneity and externalities in cumulative processes. International Journal of Industrial Organization, 1998, 16: 445-461.

[13] Schmutzler A, Gersbach H. External spillovers, internal spillovers and the geography of production and innovation.Regional Science and Urban Economics, 1999, 29: 679-696.
[14 Eaton J, Kortum S. Technology, Geography, and Trade. Economerica, 2002, 70(5): 1741-1779.

[15] Cani?ls M, Verspagen C. Barriers to knowledge spillovers, and regional convergence in an evolutionary model. Evolutionary Economics, 2001, 11: 307-329.

[16] Wang Zheng, Ma Cuifang, Wang Ying et al. A geographical investigation into knowledge spillover between regions. Acta Geographica Sinica, 2003, 58(5): 773-780.
[王铮, 马翠芳, 王莹 等. 区域间知识溢出的空间认识. 2003, 58(5): 773-780.]

[17] Lu Dadao, Liu Weidong. Analysis of geo-factors behind regional development and regional policy in China. Scientia Geographica Sinica, 2000, 20(6): 487-493.
[陆大道, 刘卫东. 论我国区域发展与区域政策的地学基础. 地理科学, 2000, 20(6): 487-493.]

[18] Johnson J C, Wood D F et al. Contemporary Logistics (7th edn..). Prentice Hall, 2003.

[19] Venables A. Equilibrium locations of vertically linked industries. International Economic Review, 1996, 37.

[20] Redding S, Venables A J. Economic geography and international inequality, mimeo, LSE, 2000.

[21] Fujita M, Krugman P, Venables A J. The spatial economy: cities, regions and international trade. MIT Press, London, 1999.

[22] Kung W. High-Tech Industrial Cluster in the Asian Countries: The Case of the Electronics Industry in the Hsinchu-Taipei Region. Complexity and Industrial Clusters. Heidelberg New York: Physics-Verlag, 2002.

[23] Kind H J, Knarvik K H M, Schjelderup G. Competing for capital in a 'lumpy' world. Journal of Public Economics, 2000, 78: 253-274.

[24] Puga D. The rise and fall of regional inequalities. European Economic Review, 1999, 43: 303-334.

[25] Saxenian A. 剑桥工业园区的繁荣和沉寂——析英国的创新和科技园区发展. 技术评论1988.2/3月刊. 张洁译.

[26] Athreye S. Agglomeration and growth: a study of the Cambridge hi-tech cluster. Preliminary draft-please comment, 2000, (6): 1-48.

[27] Grossman G, Helpman E. Trade, knowledge spillovers, and growth. European Economic Review, 1991, 35: 517-526.

[28] Jeong B. Measurement of human capital input across countries: a method based on the laborer's income. Journal of Development Economics, 2002, 67: 333-349.

[29] Wu Bin, Wang Zheng. A study on measurement of human capital across provinces of China. Scientific Research Management, 2004, 25(4): 60-65.
[吴兵, 王铮. 中国各省区人力资本测算研究, 科研管理, 2004, 25(4): 60-65.]

[30] de Freitas C. Human climates of Northern China. Atmosphere Environment, 1979, 13: 71-77.

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