인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
This study employs spatial probit models based on a Bayesian approach in the context of South Korea to investigate the spatial economic patterns that increase the likelihood of a region experiencing population decline. Of the regions analyzed, 135 (59.7%) exhibit declining populations, with 66.3% of rural counties falling into this category. These regions are predominantly concentrated in the southwestern part of non-metropolitan areas, particularly in the coastal area surrounding three sides of the territory. As potential risk clusters of regions experiencing population decline are inherent in the southeastern part of the territory, the clustering pattern is expected to shift from a small sub-cluster to a large cluster covering the central and eastern areas. The estimation results indicate that the probability of a region undergoing a population decline may be heightened by factors such as fragile fiscal autonomy, sluggish growth rates of businesses and workers, a less specialized knowledge service sector, population density below a specific threshold, outflows of young individuals, extensive urbanized areas, and inadequate road accessibility. Decomposing the effects of independent variables on the probability of a region experiencing population decline into three components revealed road accessibility has a larger direct effect (66.14%) intrinsic to the region compared to the spillover effects (33.86%). This indicates that poor road accessibility exacerbates the self-reinforcing vicious cycle of depopulation within a region. Conversely, the location quotient of the knowledge service industry exhibits the most significant negative spillover effects (39.2%) on population loss in surrounding areas, which suggests the presence of spatial contagion effects.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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