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

도시가정의 피복류 소비지출분석
추천
검색

An Analysis of Clothing Consumption Expenditure Pattern in Urban Households

논문 기본 정보

자료유형
학술저널
저자정보
김영숙 (경성대학교 가정관리학과)
저널정보
대한가정학회 대한가정학회지 대한가정학회지 제27권 제4호 KCI Accredited Journals
발행연도
1989.1
수록면
21 - 39 (19page)

이용수

표지
도시가정의 피복류 소비지출분석
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This paper is to determine the clothing and footwear of urban household consumption expenditures and an analysis of historical data from relevant literature. Particularly, time-series and cross sectional analysis techniques are adopted in analysing the patterns of clothing and footwear consumption expenditures of urban households. Finally, this paper estimates consumption expenditures in the future by comparing these revealed data with the Korea and Japan. Annual Report on the family Income and Expenditure Survey and M.R.A. in S.P.S.S. were used. The results can be summarized as follows: 1. The proportion of the clothing and footwear expenditure has decreased with the increase of income in urban household during 1976-1987. 2.1) Household consumption function by Income group, the Lower group is higher than the other group. 2) Household consumption function by Occupation of household head. Income elasticity estimation in administrative managerial workers is higher than the other group. 3) Household consumption function by Family size. Income elasticity estimation in 6 Persons is higher than the other group. But 4 Persons is higher in 1986. 4) Household consumption function by Age of household head. Income elasticity estimation in 50 Years and over is higher than the other group. 3. Comparison of characteristics of clothing and footwear consumption expenditures in Korea and Japan were M.R.A. Generally, the priority correlation order for Korea is Outwear, Sweaters and Shirt, Other clothing. For Japan, the order is Sweaters and Shirts, Underwear, Services.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0