The study was conducted to find optimal policy combinations that can effectively increase fertility rates, while considering the industry structures of different regions. The study used a Fuzzy Set Qualitative Comparative Analysis (Fs/QCA) method, whi...
The study was conducted to find optimal policy combinations that can effectively increase fertility rates, while considering the industry structures of different regions. The study used a Fuzzy Set Qualitative Comparative Analysis (Fs/QCA) method, which allowed for the identification of various policy combinations that were found to effectively promote fertility rates in specific industries. The results showed that there were differences in the policy combinations that were effective for increasing fertility, depending on the industry types. The study emphasizes the importance of tailoring low fertility countermeasures to the specific regional characteristics, rather than adopting a one-size-fits-all policy approach. The findings suggest that collaboration between central and local governments is necessary to address low fertility rates, and that tailored policy support at micro-levels can help combat such rates.