키워드 네트워크 분석을 통해 살펴본 저출산 관련 보육정책에 대한 역대 정부별 연구동향 분석

Abstract

Objectives The purpose of this study is to provide directions for child-care support policies related to low fertility by examining the research trends of successive government on child-care policies related to low fertility using keyword network analysis.
 Methods For this purpose, thesis and KCI academic journal D/B provided by the Research Information Sharing Service of the Korea Education and Research Information Service were used to collect rawDATA with keywords such as ‘low fertility’ and ‘few births’. A 1-mode matrix dataset was created based on the data that had been systematically reviewed and the first and second refinements were completed, and a keyword network analysis was performed on the entire and successive government.
 Results The results of this study were as follows: First, by thesis type, academic journals had the most, and by policy area, the power was the most. Second, as a result of examining research trends by successive governments, the first period was named ‘the introductory period of state-led fertility promotion policy research to improve the fertility rate’, the second period was named ‘the transition period of fertility promotion policy research to improve the quality of life’, and the third period was named ‘the strengthening period of big data-based fertility promotion policy research to explore social awareness’, which indicates that the flow of research changes from the 1st to the 3rd stage.
 Conclusions Based on these analysis results, it is possible to confirm the overall trend of child-care policies related to low fertility and research trends by successive governments, as well as suggest implications for the preparation of childcare support policies related to low fertility.