PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (10): 1313-1320.doi: 10.18306/dlkxjz.2017.10.013

• Special Issue: Health Geography and Human Settlement • Previous Articles    

Saptial heterogeneity analysis of divorce rate at the provincial level in China

Zaijun LI1,2(), Shuaibin LIU1,2, Zhifei MA1,2, Weixuan SONG3,*()   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210023, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China
  • Online:2017-10-28 Published:2017-10-28
  • Contact: Weixuan SONG E-mail:junzailinyi@163.com;wxsong@niglas.ac.cn
  • Supported by:
    National Natural Science Foundation of China, No.41671155

Abstract:

Marriage is an important social relation in the reproduction of population and it functions as maintaining social stability and harmony. Hence, the spatial pattern of regional divorce rates is an important topic in human geography. Taking 31 provincial-level administrative units as the research object and combining traditional statistical techniques and spatial econometric models, this article focuses on analyzing spatial dependence and spatial heterogeneity of China's regional divorce rates between 2005 and 2014 and identifies the potential driving factors of regional divorce rates. The conclusions are as follows. (1) The regional inequality of divorce rates gradually decreased from 2005 to 2014, and there was a clear spatial differentiation with high divorce rates in northern China and low divorce rates in the southern region. (2) The spatial pattern of the divorce rates showed some spatial dependence or spatial spillover effect, which was influenced by both geographic proximity and the Cybersociety. The heterogeneous spatial differentiation of divorce rates was to some degree related to specific regional contexts such as economic development, culture, and population structure. (3) Spatial panel data regression reveals that urbanization rate, economic development, education attainment, popularity of the Internet, and family size all had significantly positive impact on divorce rate. Unemployment rate and the widening urban and rural income gap had insignificantly positive effect on divorce rate. Globalization, the increase of male to female sex ratio, and burden of family support were negative related to divorce rate, but not significant statistically.

Key words: divorce rate, spatial pattern, influencing factors, saptial heterogenity, China