• DocumentCode
    2964867
  • Title

    A spatial econometric analysis of county economic growth: A case study of 108 counties in Shandong province

  • Author

    Xie Hai-jun ; Wang Wei

  • Author_Institution
    Qingdao Binhai Univ., Qingdao, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    1271
  • Lastpage
    1277
  • Abstract
    County is the basic unit of studying regional economy, and the realization of a coordinating and harmonious development of county economy would be much easier if we can clarify and thoroughly understand the characteristics and key factors of county economic growth. This thesis first combs the achievements of spatial economic theories and methods that gained in recent years in the research of regional economic growth, describes the characteristics of economic spatial distribution in the 108 counties in Shandong province and makes an elaborate analysis of the spatial relativity of county economy by utilizing methods like global spatial autocorrelation and local spatial autocorrelation; and then, based on the fact that county economy has obvious space correlation, the thesis makes an spatial econometric analysis of the eleven factors that affect the county economic growth by adopting spatial lag model; and at last comes to the conclusion that the key to the county economic growth includes industrialization, government investment leading factor and farmers´ own economic level.
  • Keywords
    econometrics; investment; Shandong province; county economic growth; county economy spatial relativity; economic spatial distribution characteristics; farmer own economic level; global spatial autocorrelation; government investment leading factor; industrialization; local spatial autocorrelation; regional economic growth; spatial econometric analysis; spatial economic theories; spatial lag model; Cities and towns; Correlation; Distribution functions; Economic indicators; Graphical models; Indexes; Moran index; county; economic growth; space distribution; spatial autocorrelation; spatial lag model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2013 International Conference on
  • Conference_Location
    Harbin
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4799-0473-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2013.6586437
  • Filename
    6586437