발간년도 : [2023]
| 논문정보 |
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| 논문명(한글) |
[Vol.18, No.5] Analysis and Implications of the Research Trends for Population Decline and Local Extinction Using Text Mining |
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| 논문투고자 |
Mi-Kyung Park, Hong-Jae Lee, Jun-I Kwon |
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| 논문내용 |
Population decline and changes in population structure are one of serious social problems. Especially in local areas, the issue of regional extinction is becoming prominent as not only natural decline but also social decline is exacerbated. Therefore, this study attempted to analyze population decline and local extinction research trends and suggest policy implications using text mining techniques. The data for analysis are 553 research papers related to ‘population decline’ and ‘local extinction’ published from 2002 to October 2022. As a result of the TF analysis, frequencies of terms such as region, population, policy, population decline, and city was high. As a result of TF-IDF analysis, terms such as city, region, vacant houses, local governments, and population appeared in the order. As a result of N-gram analysis, the focus was on diagnosing of social phenomena such as demographic structure-change, population decline-aging, and prescriptions such as problem-solving and policy-current affairs. As a result of the CONCOR analysis, five clusters were identified: population decline and local extinction factors, industry/job factors, education factors, residence factors, and financial factors. Based on the analysis results, the implications of reducing the possibility of population policy delay, a multidimensional and comprehensive understanding of population decline and local extinction, and consideration of regional characteristics when implementing population decline response policies are presented. |
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