基于距离的北京制造业空间集聚

doi:10.11821/xb200612002

地理学报 ›› 2006, Vol. 61 ›› Issue (12): 1247-1258.doi: 10.11821/xb200612002

基于距离的北京制造业空间集聚

刘春霞^1,2, 朱青², 李月臣^1,3

1. 重庆师范大学地理科学学院袁重庆 400047;
2. 北京师范大学地理学与遥感科学学院袁北京 100875;
3. GIS 应用研究重庆市重点实验室袁重庆 400047

收稿日期:2006-05-29 修回日期:2006-09-25 出版日期:2006-12-25 发布日期:2006-12-25
通讯作者: 李月臣, 博士, 副教授。E-Mail: liyuechen@cqnu.edu.cn
作者简介:刘春霞(1975-), 女, 讲师, 主要从事产业布局与规划, 区域与城市发展研究。E-mail: liuchunxia_2004@163.com
基金资助:
国家自然科学基金项目 (40271035)

Evaluating the Geographic Concentration of Manufacturing Industries of Beijing Based on Distance-based Methods

LIU Chunxia^1,2, ZHU Qing², LI Yuechen^1,3

1. College of Geography Science, Chongqing Normal University, Chongqing 400047, China;
2. College of Geography and Remote Sensing, Beijing Normal University, Beijing 100875, China;
3. Key Laboratory of GIS application, Chongqing 400047, China

Received:2006-05-29 Revised:2006-09-25 Online:2006-12-25 Published:2006-12-25
Supported by:
National Natural Science Foundation of China, No.40271035

摘要/Abstract

摘要：

运用改进的基于距离的产业地理集中度测度方法M'函数，利用2001北京市第二次基本单位普查资料和2002北京市130部门投入产出表，研究了北京市25个制造业行业的空间分布结构，以及14组投入产出关系较为密切行业间的空间临近分布状态。发现25个制造业行业在不同的距离范围内呈不同程度的集中分布，随着距离的增加，集中度基本呈下降的趋势。各行业的空间集中程度差别较大，原料指向和劳动力指向型行业空间分布的集中程度高，资金和技术密集型行业空间分布的集中程度相对较低。定量分析表明，比较优势和产业联系是影响北京制造业空间集聚的主要因素，促进北京制造业行业地理集中；产品市场竞争、外商投资和技术外溢推动产业布局趋向分散。行业间空间临近分布的集中度低，多数行业间表现为分散分布。相对而言，劳动密集型或原料型制造业行业间空间临近分布的集中度较高；资金或技术密集型行业与其他行业间空间临近分布多为分散状态。进一步研究表明，投入产出对行业间空间临近分布具有较强的解释力。

关键词: 空间集中, 距离, 制造业, 北京

Abstract:

Geographic concentration of industries is very important to decision making and regional economic development. Based on data from the second census of basic units and input-output table of Beijing, this paper researches the spatial distribution structure of manufacturing industries in Beijing by means of improving distance-based industrial geographic concentration method -M' function. Efforts are further made to investigate co-location of 14 sector groups. The results suggest that the 25 manufacturing sectors concentrate at various levels, and decline at longer distances. The studies also indicate that factor endowments and labor favorite sectors concentrate highly, while capital/technology intensive industries show lowly concentrative pattern. Statistical results imply that comparative advantages and industries linkage are the most important locational determinants of Beijing manufacturing industries, and have reinforced the spatial concentration level. However, market competition, utilization of foreign investments and technological spillover have strengthened its dispersion. Concerning the co-location phenomenon, inter-industry concentration levels are lowly concentration, even dispersion. Pairs of labor favorite and factor endowments sectors show highly co-location concentration, while industries between capital/technology intensive and other sectors generally show dispersion pattern. Further studies indicate that more input-output imitates the high inter-concentration between two sectors of activity. The results have important policy implications for industrial restructuring in Beijing.

Key words: geographic concentration, distance, manufacturing, Beijing

刘春霞,朱青,李月臣. 基于距离的北京制造业空间集聚[J]. 地理学报, 2006, 61(12): 1247-1258.

LIU Chunxia,ZHU Qing,LI Yuechen. Evaluating the Geographic Concentration of Manufacturing Industries of Beijing Based on Distance-based Methods[J]. Acta Geographica Sinica, 2006, 61(12): 1247-1258.

参考文献

[1] Krugman P. Geography and Trade. Cambridge, MA: The MIT Press, 1991.

[2] Krugman P. Development, Geography and Economic Theory. Cambridge: MIT Press, 1995.

[3] Kim Sukkoo. Expansion of markets and the geographic distribution of economic activities: the trends in U.S. regional manufacturing structure, 1860-1987. Quarterly Journal of Economics, 1995, 110: 881-908.

[4] Amiti Mary. New trade theories and industrial location in the EU: a survey of evidence. Oxford Review of Economic Policy, 1998, 14(2): 45-53.

[5] Ellison G, Glaeser E L. Geographic concentration in U.S. manufacturing industries: a Dartboard approach. The Journal of Political Economy, 1997, 105(5): 889-927.

[6] Maurel F, Sédillot B. A measure of the geographic concentration in French manufacturing industries. Regional Science and Urban Economics, 1999, 29: 575-604.

[7] Wen M. Relocation and agglomeration of Chinese industry. Journal of Development Economics, 2004, 73: 329-347.

[8] Wen M. Relocation and agglomeration of Chinese industry. Economic Research Journal. 2004, (2): 84-94.
[文玫. 中国工业在区域上的重新定位和集聚. 经济研究, 2004, (2): 84-94.]

[9] Liang Qi. Gini-coefficient of Chinese manufacturing industry: the effect of FDI on manufacturing concentration. Statistical Research, 2003, 9: 21-25.
[梁琦. 中国工业的区位基尼系数: 兼论外商直接投资对制造业集聚的影响. 统计研究, 2003, 9: 21-25.]

[10] Zhang Tongsheng, Liang Jinshe, Song Jinping. Study on the concentration and dispersion of China's manufacturing at provincial level. Economic Geography, 2005, 25(3): 315-332.
[张同升, 梁进社, 宋金平. 中国制造业省区间分布的集中与分散研究. 经济地理, 2005, 25(3): 315-332.]

[11] He Canfei, Xie Xiuzhen. Geographical concentration and provincial specialization of Chinese manufacturing industries. Acta Geographica Sinica, 2006, 61(2): 212-222.
[贺灿飞, 谢秀珍. 中国制造业地理集中与省区专业化. 地理学报, 2006, 61(2): 212-222.]

[12] Barff R A. Industrial clustering and the organization of production: a point pattern analysis of manufacturing in Cincinnati, Ohio. Annals of the Association of American Geographers, 1987, 77: 89-103.

[13] Marcon E, Puech F. Evaluating the geographic concentration of industries using distance-based methods. Journal of Economic Geography, 2003, 3: 409-428.

[14] Sweeney S H, Feser E J. Plant size and clustering of manufacturing activity. Geographical Analysis, 1998, 30(1): 45-64.

[15] Marcon E, Puech F. Measures of Geographic Concentration of Industries: Improving Distance-Based Methods. Cahiers de la Maison des Science Economiques, Série Blanche, 2003, 18.

[16] Ohlin B. Interregional and International Trade. Cambridge: Harvard University Press, 1957.

[17] Krugman P. Scale economies, product differentiation, and the pattern of trade. American Economic Review, 1980, 70: 950-959.

[18] Krugman P. Increasing returns and economic geography. Journal of Political Economy, 1991, 99: 483-499.

[19] Venables A. Equilibrium locations of vertically linked industries. International Economic Review, 1996, 37: 341-359.

[20] McCann P. Rethinking the economics of location and agglomeration. Urban Studies, 1995, 32(3): 563-577.

[21] Stuart S. The determinants of agglomeration. Journal of Urban Economics, 2001, 50: 191-229.

[22] He Canfei, Liang Jinshe, Zhang Hua. Locational study of foreign enterprises in Beijing based on an ordered probit model. Acta Geographica Sinica, 2005, 60(1): 122-130.
[贺灿飞, 梁进社, 张华. 北京市外资制造企业的区位分析. 地理学报, 2005, 60(1): 122-130.]

基于距离的北京制造业空间集聚

Evaluating the Geographic Concentration of Manufacturing Industries of Beijing Based on Distance-based Methods

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

[1]	张学波, 宋金平, 于伟, 王振波. 基于感知的北京居民职住空间关系生成机理[J]. 地理学报, 2021, 76(2): 383-397.
[2]	高晓路, 吴丹贤, 颜秉秋. 北京城市老年贫困人口识别与空间分布[J]. 地理学报, 2020, 75(8): 1557-1571.
[3]	黄鑫楠, 孙斌栋, 张婷麟. 地理距离对互联网社会中网络信息传播的影响[J]. 地理学报, 2020, 75(4): 722-735.
[4]	曹晶晶, 章锦河, 王昶, 孙晋坤, 陈敏. 距离欲对旅游者目的地选择影响的解释框架[J]. 地理学报, 2020, 75(4): 860-877.
[5]	丁亮, 钮心毅, 宋小冬. 基于个体移动轨迹的多中心城市引力模型验证[J]. 地理学报, 2020, 75(2): 268-285.
[6]	张杰, 史培军, 杨静, 龚道溢. 北京地区景观城市化进程对暴雨过程的影响——以“7·21”暴雨为例[J]. 地理学报, 2020, 75(1): 113-125.
[7]	朱艳硕, 王铮, 程文露. 中国装备制造业的空间枢纽—网络结构[J]. 地理学报, 2019, 74(8): 1525-1533.
[8]	李博,李启航,孙威. 地理学视角的京津冀地区工业企业融资成本分析[J]. 地理学报, 2019, 74(6): 1149-1162.
[9]	乔治, 黄宁钰, 徐新良, 孙宗耀, 吴晨, 杨俊. 2003-2017年北京市地表热力景观时空分异特征及演变规律[J]. 地理学报, 2019, 74(3): 475-489.
[10]	赵梓渝,魏冶,杨冉,王士君,朱宇. 中国人口省际流动重力模型的参数标定与误差估算[J]. 地理学报, 2019, 74(2): 203-221.
[11]	张延吉,秦波,朱春武. 北京城市建成环境对犯罪行为和居住安全感的影响[J]. 地理学报, 2019, 74(2): 238-252.
[12]	王亮,刘慧. 基于PS-DR-DP理论模型的区域资源环境承载力综合评价[J]. 地理学报, 2019, 74(2): 340-352.
[13]	周麟,田莉,张臻,李薇. 基于空间句法视角的民国以来北京老城街道网络演变[J]. 地理学报, 2018, 73(8): 1433-1448.
[14]	赵美风,戚伟,刘盛和. 北京市流动人口聚居区空间分异及形成机理[J]. 地理学报, 2018, 73(8): 1494-1512.
[15]	秦静,李郎平,唐鸣镝,孙岩,宋昕芮. 基于地理标记照片的北京市入境旅游流空间特征[J]. 地理学报, 2018, 73(8): 1556-1570.