全国基准产业集群识别及在区域经济分析中的应用——以北京市为例

doi:10.11821/yj2008040016

地理研究 ›› 2008, Vol. 27 ›› Issue (4): 873-884.doi: 10.11821/yj2008040016

全国基准产业集群识别及在区域经济分析中的应用——以北京市为例

孙铁山¹, 卢明华², 李国平¹

1. 北京大学中国城市管理研究中心,北京 100871;
2. 首都师范大学资源环境与旅游学院,北京 100037

收稿日期:2007-09-14 修回日期:2008-01-16 出版日期:2008-07-25 发布日期:2008-07-25
作者简介:孙铁山(1978-),内蒙古人,城市规划博士研究生。研究方向为城市与区域经济学。E-mail :tieshansun@hotmail.com *通讯作者 : 李国平(1961-),黑龙江人|教授。研究方向为经济地理学、城市与区域规划。E-mail :lgp@pku.edu.cn
基金资助:
国家自然科学基金项目(40671046)

Identification of National Benchmark Industrial Clusters and their application to regional economic analysis:A case study of Beijing

SUN Tie-shan¹, LU Ming-hua², LI Guo-ping¹

1. China Urban Management Research Center, Peking University, Beijing 100871,China;
2. Resource, Environment &|Tourism College, Capital Normal University, Beijing 100037, China

Received:2007-09-14 Revised:2008-01-16 Online:2008-07-25 Published:2008-07-25
Supported by:
国家自然科学基金项目(40671046)

摘要/Abstract

摘要：

全国基准产业集群反映一国产业技术经济联系的一般特征,可以作为模板应用于区域集群分析。本研究首次识别我国基准产业集群,为我国的区域集群实证研究提供集群模板。以识别的基准产业集群为模板,本研究分析了北京市制造业集群的发展现状,并以北京市电子及通信设备制造业集群为例分析了该集群的组成结构及空间布局。分析发现,北京市目前已形成三个规模较大,并具有区域专业化优势的制造业集群:电子及通信设备制造、汽车及装备制造和电子元器件制造业集群。北京市电子及通信设备制造业集群的优势环节是通信设备制造和其他通信、电子设备制造业,其配套产业环节电子元器件和其他电气机械及器材制造业仍相对较弱。在空间上,北京市电子及通信设备制造业集群主要分布在城市近郊地区,朝阳、海淀、大兴区是集群环节配套较为完善的区域。

关键词: 全国基准产业集群, 集群识别, 区域集群分析, 北京市

Abstract:

This study identifies the national benchmark industrial clusters, including both manufacturing and non-manufacturing clusters, using the 2002 national input-output table of China. A set of 22 industrial clusters are derived through combining an algorithm for defining a strength-of-linkage measure for all pairs of input-output sectors with application of a standard clustering algorithm. The national benchmark industrial clusters can be used as cluster templates in subsequent regional analysis. In this study, the template clusters are used to analyze the manufacturing sector of Beijing, and particular attention is focused on the electronic and telecommunication equipment cluster of Beijing. We find that there are three relatively large and highly specialized manufacturing clusters in Beijing, which are electronic and telecommunication equipment cluster, motor vehicles and equipment cluster, and electronic component and device cluster. For the electronic and telecommunication equipment cluster, Beijing is highly specialized in telecommunication equipment production and other electronic and telecommunication equipment production sectors. The spatial analysis shows that the electronic and telecommunication equipment cluster of Beijing is highly concentrated in the suburban area, mostly in Chaoyang, Haidian and Daxing districts.

Key words: National Benchmark Industrial Clusters, identification of industrial clusters, regional industrial cluster analysis, Beijing

孙铁山, 卢明华, 李国平. 全国基准产业集群识别及在区域经济分析中的应用——以北京市为例[J]. 地理研究, 2008, 27(4): 873-884.

SUN Tie-shan, LU Ming-hua, LI Guo-ping. Identification of National Benchmark Industrial Clusters and their application to regional economic analysis:A case study of Beijing[J]. GEOGRAPHICAL RESEARCH, 2008, 27(4): 873-884.

参考文献

[1] Porter M E. The Competitive Advantage of Nations. New York: Free Press, 1990.

[2] Porter M E. Clusters and the new economics of competition. Harvard Business Review, 1998, 76(6): 77~90.

[3] Porter M E. Location, competition, and economic development: Local clusters in a global economy. Economic Development Quarterly, 2000, 14(1): 15~34.

[4] Martin R, Sunley P. Deconstructing clusters: Chaotic concept or policy panacea. Journal of Economic Geography, 2003,3(1):5~35.

[5] Peters D J. Revisiting industry cluster theory and method for use in public policy: An example identifying supplier-based clusters in Missouri.Paper presented in the Mid-Continent Regional Science Association 35th Annual Meeting, June 2004.

[6] Feser E J. Old and new theories of industry clusters. In:Steiner M(eds.). Clusters and Regional Specialisation. London: Pion Limited, 1998.18~40.

[7] Bergman E M, Feser E J. Industrial and Regional Clusters: Concepts and Comparative Applications. Morganton, WV: Regional Research Institute, West Virginia University, 1999.

[8] Czamanski S, Ablas L A. Identification of industrial clusters and complexes: A comparison of methods and findings. Urban Studies, 1979, 16(1): 61~80.

[9] Feser E J, Bergman E M. National industry cluster templates: A framework for applied regional cluster analysis. Regional Studies, 2000, 34(1):1~19.

[10] 国家统计局国民经济核算司. 中国2002年投入产出表.北京: 中国统计出版社, 2006.

[11] Streit M E. Spatial association and economic linkages between industries. Journal of Regional Science, 1969, 9(2): 177~188.

[12] Czamanski S. Study of Clustering of Industries. Halifax, Canada: Institute of Public Affairs, Dalhousie University, 1974.

[13] Abbott T A,Andrews S H.The classification of manufacturing industries: An input-based clustering of activity.Working Papers 90-7, Center for Economic Studies, U.S. Census Bureau, 1990.

[14] 贺灿飞,梁进社,张华.区域制造业集群的辨识——以北京市制造业为例.地理科学,2005,25(5):521~528.

[15] 刘增.浙江省产业集群基于1997年、2002年投入产出表的定量研究.商场现代化,2006,(9):197~198.

[16] 刘林青,谭力文,张真.湖北省产业集群的鉴别及其特征.统计与决策,2006,(4):67~70.

[17] 任延峰.吉林省产业集群的识别和培育.东北师范大学区域经济学硕士毕业论文,2006.

[18] Bergman E M, Feser E J, Sweeney S. Targeting North Carolina Manufacturing: Understanding the State's Economy Through Industrial Cluster Analysis. Chapel Hill, NC: UNC Institute for Economic Development,1996.

[19] Feser E J, Koo J. High Tech Clusters in North Carolina. Raleigh, NC: North Carolina Board of Science and Technology, 2000.

[20] 王今.产业集聚的识别理论与方法研究.经济地理,2005,25(1):9~11.

[21] 刘彬,陈圻.关于产业集群界定识别的研究方法综述.科技进步与对策,2006,(9):190~192.

[22] 张建华,张淑静.产业集群的识别标准研究.中国软科学,2006,(3):83~90.

[23] Czamanski S.Some empirical evidence of the strengths of linkages between groups of related industries in urban-regional complexes. Papers of Regional Science Association,1971, 27(1):136~150.

[24] Feser E.J. An updated set of benchmark value chains for the United States, 1997. Regional Economics Applications Laboratory, University of Illinois at Urbana-Champaign,2004.

[25] 国务院第一次全国经济普查领导小组办公室编. 中国经济普查年鉴2004.北京: 中国统计出版社,2006.

[26] 北京市统计局北京市第一次全国经济普查领导小组办公室编. 北京经济普查年鉴2004.北京: 中国统计出版社,2006.

[27] 李国平,孙铁山,卢明华.北京高科技产业集聚过程及其影响因素.地理学报, 2003,58(6):927~936.

[28] 楚波,梁进社.基于OPM模型的北京制造业区位因子的影响分析.地理研究,2007,26(4):723~734.

[29] 张华,贺灿飞.区位通达性与在京外资企业的区位选择.地理研究,2007,26(5):984~994.

全国基准产业集群识别及在区域经济分析中的应用——以北京市为例

Identification of National Benchmark Industrial Clusters and their application to regional economic analysis:A case study of Beijing

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