1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

Temporal and Spatial Analysis on Labor Productivity of Radio and TV Industry in China

  • @INPROCEEDINGS{10.4108/wkdd.2008.2684,
        author={Dong Chun and ZHANG Hongmei and Wang  Tao and Wang Yong and QIU Agen},
        title={Temporal and Spatial Analysis on Labor Productivity of Radio and TV Industry in China},
        proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
        publisher={ACM},
        proceedings_a={WKDD},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/wkdd.2008.2684}
    }
    
  • Dong Chun
    ZHANG Hongmei
    Wang Tao
    Wang Yong
    QIU Agen
    Year: 2010
    Temporal and Spatial Analysis on Labor Productivity of Radio and TV Industry in China
    WKDD
    ACM
    DOI: 10.4108/wkdd.2008.2684
Dong Chun1,*, ZHANG Hongmei1, Wang Tao1,*, Wang Yong1,*, QIU Agen1,*
  • 1: G-GIS Research Center, Chinese Academy of Surveying and Mapping, Beijing, China
*Contact email: dongchun@casm.ac.cn, wangtao@casm.ac.cn, wangyong@casm.ac.cn, qagen@casm.ac.cn

Abstract

In order to find out the industrial characteristics and development trend of radio and TV industry in China, the developing course of this industry has been analysis from labor productivity, based on contrastive analysis and diagrammatic analysis. By comparison to three major industries, the developing rapidly and hopeful road has been exposed, and before it has not received adequate recognition to itself. In order to study the spatial distribution rule, using the spatial analysis function of GIS and spatial statistical models, quantitative analysis and qualitative evaluation on Radio and TV industry in China have been done. Then from the spatial scale, the spatial modes of this industry both on province and county scale have been studied deeply. The results show that there are certain spatial agglomerations in general for labor productivity in China. In the local region, obvious spatial associations exit too.