• DocumentCode
    3063221
  • Title

    The construction of Shanghai shipping center based on industrial clusters analysis

  • Author

    Lv, Kangjuan ; Li, Wuming

  • Author_Institution
    Sydney Inst. of Language & Commerce, Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    Shanghai shipping center is a national strategy. In this study, from the perspective of industrial clustering to analyze the issue of building the shipping center. London as a world-recognized international shipping center which is worth studying. but there is a large gap between the two regions. Spatial Gini coefficient is used to calculate industrial agglomeration degree of the shipping industry, the results show that Shanghai in the country with the highest degree of concentration, and concentration level of China´s shipping industry increase the last three years, but too slow. Measure the differentiation of industrial chain distribution among Shanghai shipping industrial cluster by GIS and Tell index the researchers found that the distribution of Shanghai shipping industry more concentrated in the lower and middle reaches of the labor-intensive, based on this for industrial upgrading, industrial development recommendations.
  • Keywords
    geographic information systems; pattern clustering; ships; China shipping industry; GIS; London; Shanghai shipping center construction; Tell index; differentiation measure; geographic information systems; industrial agglomeration degree calculation; industrial chain distribution; industrial cluster analysis; industrial development recommendation; industrial upgrading; international shipping center; labor intensive; national strategy; shipping center building; spatial Gini coefficient; Companies; Employment; Indexes; Industries; Insurance; Marine vehicles; Industry cluster; Industry value chain; Shipping center; Tell index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.209
  • Filename
    6274779