Analysis of Factors Affecting the Divorce Rate in the Central and Eastern Regions of China
The current divorce rate in China has been on an upward trend,and the high divorce rate has brought some negative impacts to both families and society.Using the panel data of 16 provinces in the eastern and central regions of China from 2011 to 2021 as samples,the spatial autoregressive model(SAR),spatial error model(SEM)and spatial Durbin model(SDM)were established to empirically analyze the influencing factors of the divorce rate.The results of the study show that there is a positive spatial correlation among divorce rates in the central and eastern regions,with stronger spatial dependence in the central region than in the eastern region;In terms of direct effects,house prices,birth rate,internet penetration,urbanisation level and marriage rate all have a significant positive effect on the local divorce rate,while years of education per capita and total dependency ratio have a significant dampening effect;In terms of spillover effects,years of education per capita and internet penetration have a significant negative spatial spillover effect on the divorce rate in neighbouring regions,while house prices and the proportion of tertiary industry have a significant positive spatial spillover effect.Finally,based on the findings of the study,some policy recommendations are proposed to reduce the divorce rate.
central and eastern regionsdivorce ratespatial econometric modelspatial spillover effecteffect decompositionheterogeneity
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