JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2014, Vol. 52 ›› Issue (12): 107-112.doi: 10.6040/j.issn.1671-7554.0.2014.323

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Spacial distribution of fertility rate in Shandong Province and its influencing factors

LI Qi, SUN Yixin, LI Yixue, ZHANG Cuiqin, WU Rongshan, XUE Fuzhong   

  1. Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China
  • Received:2014-05-16 Revised:2014-09-18 Published:2014-12-10

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Abstract: Objective To analyze the spatial distribution of fertility rate in Shandong Province and its influencing factors. Methods Spatial analysis software GIS and GeoDA were used to build the spatial database of fertility rate of 139 counties in Shandong Province, and spatial autocorrelation analysis and global spatial regression model analysis were conducted. Results The global spatial autocorrelation analysis showed Moran's I=0.46, P<0.01. In the spatial error model analysis, marriage rate, dependency ratio, sex ratio, high education rate and divorce rate showed statistical significance (P<0.05), in which only the regression coefficient of the divorce rate was less than zero. Conclusion There is a certain spatial correlation and clustering in fertility rate among counties in Shandong Province. Weihai, Yantai and surrounding areas have lower aggregation in fertility rate, while Linyi and surrounding areas have higher aggregation in fertility rate. Fertility rate is positively related to the marriae rate, dependency ratio and sex ratio, and negatively related to divorce rate.

Key words: Spatial distribution, Spatial analysis technology, Geoda software, Fertility rate, Non-political factors

CLC Number: 

  • R181.2
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