A Study on Factor Decomposition of Consumption Inequality in South Korea

강우진

doi:10.46396/Kjem..102.3

추천

검색

자료유형: 학술저널

저자정보: 강우진 (한밭대학교)

저널정보: 한일경상학회 한일경상논집 한일경상논집 제102권

발행연도: 2024.2

수록면: 41 - 49 (9page)

DOI: 10.46396/Kjem..102.3

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

Purpose: This study examines the determinants of household consumption expenditure and quantifies their contribution to within group inequality by gender of household head in South Korea. Research design, data, and methodology: This study first decomposes total inequality into within and between inequality by gender of household head. It also examines the association between a vector of household demographic and socioeconomic characteristics and household consumption expenditure in an attempt to identify how much inequality can be attributed to each of explanatory factors. This study empirically draws upon the recent national representative dataset, Survey of Household Finance and Living Conditions (SFLC) 2 021 c ollected b y Korea Statistical Office. Results: According to the present study, inequality in 2021 in South Korea was found to be mainly dominated by inequality within population sub groups. Examining the determinants of household consumption inequality, it shows that factors and their conributions are different between male and female headed households. For instance, whilst the type of job occupation of a head appears to have a large impact on inequality within male headed households, it is found to have marginal contribution compared to within female headed households (25.2% vs. 7.4%). In case of household demography, it is observed as the second largest factor increasing within inequality among female headed households (31.2%) whereas its contribution to inequality within inequality among male group was relatively small (18.6%). Implications: Our study suggests that target specific investigation and deep structural understanding need to be made on the different characteristics of within inequality as reflected by the different role of factors and their contributions. Amongst, the different inequality impact of higher education might reflect that the expansion of higher education had a relatively lower impact on the living stand of female group than that of its counterpart, male group. Finally, the discriminatory barriers (e.g. job occupation) against female may reduce within inequality, it could widen total inequality, worsening distribution between male and female groups.

Abstract Purpose: This study examines the determinants of household consumption expenditure and quantifies their contribution to within group inequality by gender of household head in South Korea. Research design, data, and methodology: This study first decomposes total inequality into within and between inequality by gender of household head. It also examines the association between a vector of household demographic and socioeconomic characteristics and household consumption expenditure in an attempt to identify how much inequality can be attributed to each of explanatory factors. This study empirically draws upon the recent national representative dataset, Survey of Household Finance and Living Conditions (SFLC) 2021 collected by Korea Statistical Office. Results: According to the present study, inequality in 2021 in South Korea was found to be mainly dominated by inequality within population sub groups. Examining the determinants of household consumption inequality, it shows that factors and their conributions are different between male and female headed households. For instance, whilst the type of job occupation of a head appears to have a large impact on inequality within male headed households, it is found to have marginal contribution compared to within female headed households (25.2% vs. 7.4%). In case of household demography, it is observed as the second largest factor increasing within inequality among female headed households (31.2%) whereas its contribution to inequality within inequality among male group was relatively small (18.6%). Implications: Our study suggests that target specific investigation and deep structural understanding need to be made on the different characteristics of within inequality as reflected by the different role of factors and their contributions. Amongst, the different inequality impact of higher education might reflect that the expansion of higher education had a relatively lower impact on the living stand of female group than that of its counterpart, male group. Finally, the discriminatory barriers (e.g. job occupation) against female may reduce within inequality, it could widen total inequality, worsening distribution between male and female groups.

#Distribution #Gender Inequality Cross-section #Decomposition #Korea

참고문헌 (0)

참고문헌 신청

참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

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

최근 본 자료

전체보기

구분	그룹	데이터 항목
AI 학습용 데이터	원문	원문 PDF 파일
AI 학습용 데이터	원문 + 메타 (기본/상세)	원문 PDF 파일 및 서지정보 CSV
대량 구매용 데이터	B2B 구독 방식	특정 자료 한정으로 원문 접근 권한 부여
대량 구매용 데이터	URL 전달 방식	바로 PDF 뷰어를 열람할 수 있는 URL 제공

구분	그룹	데이터 항목
AI 학습용 데이터	기본 메타	발행기관명, 간행물명, 권호명, 권(vol), 호(issue), 통권, 발행연도, 발행월, 논문명, 저자명, 시작페이지, 종료페이지, 전체페이지, 상세페이지URL
상세 메타 데이터	발행기관 메타	발행기관 이명, 영문명, 창립연도, 홈페이지URL, 발행기관 소개
	간행물 메타	부제목, 간행물 유형, ISSN, ISBN, 최초발행연도, 폐간연도, 간행빈도, 발행주기, 등재사항, 이용수, 피인용수, 권호수, 논문수, 표지이미지
	논문 메타	작성 언어, 부제목, 대등제목, 목차, 키워드, 초록, 이미지, 참고문헌, 이용수, 피인용수, 논문활용도, DBpia통합주제분류, KDC분류, DDC분류, 한국연구재단분류, UCI, DOI
	저자 메타	소속기관, 소속부서, 직급, 연구분야, 연구키워드, 이용수, 피인용수, 저자 논문활용도

구분	그룹	데이터 항목
※ 결합형/맞춤형 메타 데이터는 신청 내용에 따라 다양하게 제공 가능
이용순위 정보	주제분야별 많이 이용된 논문	“인문학”에서 많이 이용된 논문 TOP100
	이용기관별 많이 이용된 논문	“중고등학교”에서 많이 이용된 논문 TOP100
	세부기관별 많이 이용된 논문	“서울대학교”에서 많이 이용된 논문 TOP100
	키워드별 많이 이용된 논문	“Chat GPT”에서 많이 이용된 논문 TOP100
키워드 정보	많이 이용된 키워드	특정기간/분야/저널 내 많이 이용된 키워드
	많이 발행된 키워드	특정기간/분야/저널 내 많이 발행된 키워드
	많이 검색된 키워드	특정기간/분야/저널 내 많이 검색된 키워드
	연구 트렌드 키워드	특정 키워드 연관 연구동향 분석 데이터 키워드

논문 기본 정보

초록· 키워드

AI 요약

연구주제

연구배경

연구방법

연구결과

주요내용

목차

참고문헌 (0)

함께 읽어보면 좋을 논문

최근 본 자료

댓글(0)