메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
김수영 (경성대학교) 문경주 (경성대학교) 오찬옥 (인제대학교)
저널정보
한국지역사회학회 지역사회연구 지역사회연구 제23권 제2호
발행연도
2015.6
수록면
137 - 164 (28page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

이 논문의 연구 히스토리 (2)

초록· 키워드

오류제보하기
The rapid aging society requires welfare programs and services corresponding to complex and diverse needs of the elderly. Aging- in-place policy is known as a key strategy in dealing with and meeting the needs of the elderly. This study proposes two main purposes. Firstly, the study tries to seek out the factor which affects the elderly to continuously live in the residential area or within the community. Then, it strives to suggest policy orientations concerning the elderly living in the residential area or within the community based on the analysis. Survey was conducted by the elderly over sixty, living in the metropolitan city, the medium-sized city, and the agricultural village. Five independent and six control variables are used in analysis which affects Aging-in-place. The major findings are as follows: First regarding convenience and safety when walking or using transportations, condition for moving and social interactions with younger generation mainly affected Aging-in-place. Second, concerning control variables, owing house primarily affected Aging-in-place. Specifying in cities, medium-sized city had a positive influence on Aging in Place compared to the metropolitan city. Since Local government initiated Age-in-place policy ,or so called “government-led community building project”, can not be sustained without government support, the elderly and local residents will have to voluntary participate in Aging-in-place which will lead to community care system and social participation. and Also we searched for the alternatives for the model of Aging-in-Place, which is called NORC, Villages model.

목차

Abstract
1. 서론
2. 이론적 논의
3. 조사대상 및 조사내용
4. 분석결과
5. 결론
참고문헌

참고문헌 (49)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2016-309-001638989