地理学报

地理学报 ›› 2008, Vol. 63 ›› Issue (12): 1299-1310.doi: 10.11821/xb200812007

• 产业发展 • 上一篇    下一篇

北京生产性服务业与制造业的关联及空间分布

邱灵1,2,3, 申玉铭3, 任旺兵4   

  1. 1. 中国科学院地理科学与资源研究所, 北京100101;
    2. 中国科学院研究生院, 北京100049;
    3. 首都师范大学资源环境与旅游学院, 北京100048;
    4. 国家发展和改革委员会宏观经济研究院, 北京100038
  • 收稿日期:2008-06-17 修回日期:2008-09-20 出版日期:2008-12-25 发布日期:2008-12-25
  • 通讯作者: 申玉铭(1968-), 男, 河南浚县人, 博士, 教授, 主要从事区域经济与区域可持续发展研究。 E-mail: shenyuming@263.net
  • 作者简介:邱灵(1983-), 男, 福建福州人, 博士生, 研究方向为服务经济与区域发展、城市与区域规划。
  • 基金资助:

    国家自然科学基金项目(40871069);国家" 十一五" 科技支撑计划重大项目(2006BAJ05A06);北京市自然科学基金项目(9072002)

Industrial Relevancy and Spatial Distribution between Producer Services and Manufacturing in Beijing City

QIU Ling1,2,3, SHEN Yuming3, REN Wangbing4   

  1. 1. Institution of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
    3. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
    4. Academy of Macroeconomic Research, NDRC, Beijing 100038, China
  • Received:2008-06-17 Revised:2008-09-20 Online:2008-12-25 Published:2008-12-25
  • Supported by:

    National Natural Science Foundation of China, No.40871069; Mega-project of Science and Technology Research for the 11th Five-Year Plan of China, No.2006BAJ05A06; Natural Science Foundation of Beijing City, No.9072002

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被引次数

266

摘要：

生产性服务业与制造业的有机融合、互动发展既是全球产业发展的趋势， 也是中国走 新型工业化道路的重要途径。以北京市为案例区， 运用相关分析、投入产出模型、空间自相 关模型、变异系数、地理联系率等， 对生产性服务业与制造业互动的产业关联与空间分布进 行实证研究， 旨在为首都产业结构优化、空间布局调整提供科学依据。研究表明： ① 生产性 服务业投入与制造业效益提升呈现正相关性， 但制造业服务化程度较低； ② 制造业对生产性 服务业的中间需求结构不断提升， 不同类型制造业对生产性服务业的中间需求结构存在明显 差异； ③ 生产性服务业对资源密集型制造业的中间投入趋于下降， 对技术密集型制造业的中 间投入趋于上升， 不同类型生产性服务业对制造业的中间投入结构存在明显差异； ④ 制造业 与配套生产性服务业均呈现显著的空间集聚性， 但集聚与分散的空间格局存在明显差异， 就 业空间分布的一致性较差， 进一步验证了制造业与配套生产性服务业具有空间可分性。

关键词: 生产性服务业, 制造业, 产业关联, 空间分布, 北京市

Abstract:

Interactive development between producer services and manufacturing was not only a trend of global economic development, but a path of new industrialization in China. As a case study of Beijing city, this paper conducted an empirical study on industrial relevancy and spatial distribution of the interaction between producer services and manufacturing, applying correlative analysis, input-output model, spatial autocorrelation model and so on. The results could be concluded as follows. Firstly, there was a significant positive correlation between intermediate input of producer services and efficiency of manufacturing. But the share of manufacturing on total intermediate demand was low in Beijing. Secondly, there was an uptrend of the intermediate demand structure by manufacturing from 1997 to 2002. The structure of intermediate demand by different types of manufacturing was quite different. Thirdly, the intermediate input of producer services to resources-intensive manufacturing tended to reduce and the technology-intensive manufacturing tended to rise from 1997 to 2002. The structure of intermediate input by different types of producer services was quite dissimilar. Finally, the disparity of spatial distribution between electronic and telecommunication equipment (ETE) and professional, scientific and technical services (PSTS) was remarkable. An exploratory spatial data analysis of employment density of ETE and PSTS revealed strong evidence of spatial autocorrelation as well as significant patterns of local spatial association. Although spatial agglomeration existed significantly at the level of block, the convergence of ETE and PSTS was distinct in spatial pattern, which proved the spatial-disjoin between producer services and manufacturing.

Key words: producer services, manufacturing, industry relevancy, spatial distribution, Beijing