Hu, X, Kim, YJ, Kim JH and Choi, Y(2022). A Study on China’s Divorce Rate using Structural Equation Model, Journal of The Korean Data Analysis Society, 24(6), 2169-2183.
Abstract
In recent years, the divorce rate for China has been rising year by year. Based on the
crude divorce rate from 2001 to 2019, this paper selects four groups of Heilongjiang, Shanxi
and Guangdong, where the total divorce rate and the total divorce rate of China are high,
medium and low respectively, and explores the reasons for the rising divorce rate of China
from three aspects of economy, education and population composition. Compare the provinces
with high divorce rate and low divorce rate at the same time, and analyze the reasons and
geographical differences of rising divorce rate. This paper is mainly divided into two parts.
The first part is the comparison of differences between four groups based on multivariate
statistical analysis, and the second part is structural equation model analysis. The first part is
mainly descriptive statistics and variance analysis of all groups in China, Shaanxi, Guangdong
and Heilongjiang, to confirm whether there are differences among the four groups. Then,
profile analysis was conducted to compare the whole in China and Shaanxi province with the
median divorce rate, as well as heilongjiang Province with the high divorce rate and
Guangdong Province with the low divorce rate. In the second part of structural equation model
analysis, first of all, the factors affecting the divorce rate were analyzed. Secondly, through the
structural equation model analysis, the effect of economic and social development characteristics
and modernization characteristics and fertility on divorce rates between Heilongjiang Province,
the average Shanxi Province, and low Guangdong Province is verified and concluded. Through
a variety of analyses, this paper draws a conclusion that the divorce rate for China is greatly
influenced by social development characteristics and modernization characteristics and fertility.
However, there is little difference in the influence factors of the three provinces of China.
Keywords : Structural Equation Model, Divorce Late, Latent Variable, Profile Analysis,
Multivariate Analysis of Variance (MANOVA).