Table 1.

A summary of the most relevant research.

Ref.	Year	Method	Shortcoming	Finding
Choi and Myungsuk [12]	2013	The effect of local policies on fertility in Korea was analyzed using a fixed effects regression model.	First, in the quantitative analysis, the above-mentioned measures, ignoring the interrelationships between policies, do not analyze the effects of policy groups on fertility. Second, in the qualitative analysis, there is limited handling of time series and panel data, which affects the accuracy of the analysis results.	First, in this study, a fuzzy set analysis is used to remedy the shortcomings in the traditional measurement methods by adding an analysis of the effect of policy groups on fertility. Second, this study uses a fixed-effects regression analysis to determine the relationship between individual welfare policies and fertility before conducting a policy group analysis to provide a basis for the policy group analysis.
Bae and Kim [7]	2012	Using a logit model hierarchical analysis, the study showed that government fertility policies can promote fertility.
Yun [19]	2015	The relationship between the type of childcare system and inter-class fertility was analyzed using a cluster analysis.
Jung, Kim and Lim [18]	2019	Using a dynamic panel analysis, the implementation effects of family policies to boost fertility in OECD countries were analyzed.
Ellingsaeter and Pedersen [13]	2013	Interviews with workers revealed that their fertility intentions were closely related to their own economic conditions.
Bong, Jeon and Seung [28]	2021	A fuzzy set comparative analysis was used to find the social characteristics of high-fertility countries
Toulemon, Pailhe and Rossier [14]	2008	A comparative analysis illustrates the reasons for the high and stable fertility rate in France.