Spatial Analysis of Divorce Rate in Taiwan
Date Issued
2016
Date
2016
Author(s)
Liao, Su-Chuan
Abstract
The rising divorce rate, a social phenomenon which gets more and more attention in recent years, is worth exploring and could become the reference for our government when making and executing relative policies, or promoting supporting measurements. This article is the first one to explore the variables of Economic and Social background, and the impact of spillover effects on the changes in divorce rate from the perspective of spatial analysis, and compared the two periods before and after the financial crisis for studying the changes of independent variables at different times and the possible structural difference. The research started with an empirical perspective, based on the factors which influenced the divorce rate in 368 districts out of 22 cities in 2004 to 2013, and explored the divorce rate under non-spatial models and spatial models. Moreover, the research is the first attempted to apply the spatial autocorrelation model on divorce rate, through the method of combining Spatial Economics theory with GeoDa. First, to complete the test of full domain autocorrelation (Moran’s I) and the geographical distribution plot of LISA, then study the effect of spatial autocorrelation on divorce rate, and understand the ability of explaining and presenting the spatial autocorrelation in neighboring regions for space self-regression. Finally, to identify the most appropriate spatial patterns through a comparative analysis of traditional regression models, Spatial Lag Model, and Spatial Error Model.
Subjects
Divorce Rate
Spatial Analyst
Spatial lag model
Spatial error model
Type
thesis
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