高技术产业聚集区形成的区位因子分析

doi:10.11821/xb200504005

地理学报 ›› 2005, Vol. 60 ›› Issue (4): 567-576.doi: 10.11821/xb200504005

高技术产业聚集区形成的区位因子分析

王铮^1,2, 毛可晶¹, 刘筱^1,3, 赵晶媛¹, 谢书玲²

1. 中国科学院政策与管理科学研究所,北京 100080;
2. 华东师范大学地理信息科学教育部重点实验室,上海 200062;
3. 深圳大学公共管理学院,深圳 518060

收稿日期:2005-02-03 修回日期:2005-05-11 出版日期:2005-07-25 发布日期:2005-07-25
作者简介:王铮 (1954-),男,研究员,博士生导师,中国地理学会会员,主要从事理论地理学及地理信息科学、区域管理与发展研究。E-mail: wangzheng@mail.casipm.ac.cn
基金资助:
国家自然科学基金项目(40070010)

An Analysis for Location Factors that Cause Industrial Agglomeration

WANG Zheng^1,2, MAO Kejing¹, LIU Xiao^1,3, ZHAO Jingyuan¹, XIE Shuling²

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:2005-02-03 Revised:2005-05-11 Online:2005-07-25 Published:2005-07-25
Supported by:
National Natural Science Foundation of China, No.40070010

摘要/Abstract

摘要：

高技术产业发生空间聚集是一种重要的新经济的地理现象,空间上细分,这种聚集进一步呈现形成产业专业化的产业带或者产业区具有专业化特征的产业集群。在首先讨论聚集与集群概念的基础上,指出了高技术产业聚集区的形成有赖于产业集群。基于这种认识,我们详细分析了国内外关于产业聚集区分布的区位因子,发现这些因子包括人力资本、知识环境、气候环境和商贸环境。并对这几个因子进行了量化,对此建立模型,验证了这些区位要素对高技术产业聚集的影响。研究结果表明：①聚集是产业、资本、人口向空间的集中。产业发生聚集的区位因子包括知识溢出环境、人力资本聚集、气候环境、商贸环境、交通环境与供应链环境。②在6个区位因子中,知识溢出环境、人力资本、气候条件是高技术产业聚集区形成的决定性区位因子,交通条件、供应链环境、商贸环境是高技术产业聚集发展的辅助性区位因子。在高技术产业集群中,交通条件、供应链环境、商贸环境成为控制性因素。

关键词: 高技术产业, 聚集, 集群, 区位因子

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.

Key words: high-tech industry, agglomeration, cluster, location factors

王铮, 毛可晶, 刘筱, 赵晶媛, 谢书玲. 高技术产业聚集区形成的区位因子分析[J]. 地理学报, 2005, 60(4): 567-576.

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.

参考文献

[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.

[1]	马仁锋, 王腾飞, 张文忠. 创意再生视域宁波老工业区绅士化动力机制[J]. 地理学报, 2019, 74(4): 780-796.
[2]	刘思婧,李国旗,金凤君. 中国物流集群的量化甄别与发育程度评价[J]. 地理学报, 2018, 73(8): 1540-1555.
[3]	朱晓华, 何书金, 袁丽华. 中国地理与资源期刊集群化服务平台的发展与实践[J]. 地理学报, 2017, 72(5): 918-941.
[4]	陶伟, 王绍续, 朱竑. 广州拾荒者的身体实践与空间建构[J]. 地理学报, 2017, 72(12): 2199-2213.
[5]	林兰. 重化工业集群式创新机制与空间响应研究[J]. 地理学报, 2016, 71(8): 1400-1415.
[6]	杨仲元, 徐建刚, 林蔚. 基于复杂适应系统理论的旅游地空间演化模式——以皖南旅游区为例[J]. 地理学报, 2016, 71(6): 1059-1074.
[7]	王承云, 秦健, 杨随. 京津沪渝创新型城区研发产业集群研究[J]. 地理学报, 2013, 68(8): 1097-1109.
[8]	汤放华, 汤慧, 孙倩, 汤迪莎. 长江中游城市集群经济网络结构分析[J]. 地理学报, 2013, 68(10): 1357-1366.
[9]	廖一兰, 王劲峰, 杨维中, 李忠杰, 金莲梅, 赖圣杰, 郑晓瑛. 传染病多维度聚集性探测方法[J]. 地理学报, 2012, 67(4): 435-443.
[10]	宋周莺, 刘卫东. 信息时代的企业区位研究[J]. 地理学报, 2012, 67(4): 479-489.
[11]	吕晓芳,王仰麟, 彭建, 吴健生. 深圳快速城市化地区公路沿线土地利用空间集聚[J]. 地理学报, 2008, 63(8): 845-855.
[12]	邵晖. 北京市生产者服务业聚集特征[J]. 地理学报, 2008, 63(12): 1289-1298.
[13]	苗长虹. 全球-地方联结与产业集群的技术学习 ——以河南许昌发制品产业为例[J]. 地理学报, 2006, 61(4): 425-434.
[14]	李蕾蕾, 张晓东, 胡灵玲. 城市广告业集群分布模式——以深圳为例[J]. 地理学报, 2005, 60(2): 257-265.
[15]	曾刚, 文嫮. 上海浦东信息产业集群的建设[J]. 地理学报, 2004, 59(7s): 59-66.

高技术产业聚集区形成的区位因子分析

An Analysis for Location Factors that Cause Industrial Agglomeration

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价