Acta Geographica Sinica ›› 2008, Vol. 63 ›› Issue (12): 1299-1310.doi: 10.11821/xb200812007

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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


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