Child Poverty Rates, Prefectural Disparities, Factor Analysis, Nonlinear Multiple Regression Analysis
The Japanese government enacted the “[A1] "Act to Accelerate Policies for Disadvantaged Kids”" in 2013, in the face of a society where one in seven children are faced withare in financial difficulties. The enforcement of this law requiresd local governments to formulate and implement measures to address child poverty. However, it is evident that various factors have an impact on the child poverty rate, and the relative impact of these factors is not yet known yet. Consequently, local governments face[A2] there are many challenges in the implementing[A3] implementation of poverty-[A4] reduction measures by local governments. In this studypaper, by applying a non-linear multiple regression analysis that uses the poverty rate of children by prefecture as the target variable and multiple indicators in the population/household, economy/labor, and education/welfare fields, we have tried to conducted a statistical study to exploreon exploration and estimateion of the relative impact of these factors. As a result, ten kinds of factors that reduce the poverty rate with statistically significant accuracy can bewere obtained. It has been found that factors such aslike being raised by a single parent, households withwhere there are a large number of children,, and the economic and labor factors such as the unemployment rate and double-income rate account for about 50% of the total impact. Based oOn the basis of these indices of these factors, we have tried to propose an approach for local governments to reduce the child poverty rates.
[A1]It is encouraged to use curly quotes instead of straight ones in academic writing.
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Suzuki, Takahiro and Tanabe, Kazutoshi
"Analysis of Factors Affecting Child Poverty Rates in Prefectures,"
Japanese Society and Culture: Vol. 5, Article 9.
Available at: https://gensoken.toyo.ac.jp/japanese-society-and-culture/vol5/iss1/9