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    군집분석을 통해 살펴본 1인 가구의 연령대별 소비지출패턴 = Cluster Analysis for the Consumption Expenditure Patterns of One-Person Households of Different Age Groups

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    https://www.riss.kr/link?id=A104349248

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purposes of this study were to identify consumption expenditure patterns of one-person households of different age groups, find out the socio-economic characteristics of the identified clusters, and then compare the patterns of different age groups. For these purposes, one-person households were separated by three age groups : younger households(less than 35 years old), middle aged households(35-64 years old or less), and older households(over 64 years old). The consumption expenditure pattern means the way consumption categories are combined to form a way of life as a whole(Chung 1998, p.39). The consumption categories of this study employed those of the 2012 Household Income & Expenditure Survey of Statistics Korea that is the data of the study. The 12 standard consumption categories are ‘Food and non-alcoholic beverages’, ‘Alcoholic beverages and tobacco’, ‘Clothing and footwear’, ‘Housing, water, electricity and other fuels’, ‘Furnishings and household equipment’, ‘Health’, ‘Transport’, ‘Communication’, ‘Recreation and culture’, ‘Education’, ‘Restaurants and hotels’, and ‘Miscellaneous goods and services’. Cluster analysis which is a statistical method for categorizing the households into similar groups was utilized. The variables used as criteria variables are budget shares allocated to each consumption categories : i.e. the proportions of the expenditures of each consumption categories in total consumption expenditure. K-means cluster analyses were conducted using SPSS.
    The data of the study were the annual raw data of the 2012 Household Income & Expenditure Survey of Statistics Korea. Total sample consisted of 10,400 households of the whole country except farm and fishery households. Among them, 1,653 households were one-person households. Weighted results were presented. The main findings are as follows: Four consumption expenditure patterns are identified for each age groups. The clusters are named according to their dominant budget shares. For younger one-person households, the identified clusters are diverse activity oriented(48.6%), restaurants and hotels-dominated(25.6%), housing-dominated(21.9%) and transport-dominated(4%). Diverse activity oriented cluster consists the largest proportion of young one-person households. These households allocated their budget to diverse consumption categories and it shows their active lives compared with the households in other clusters. Of the younger one-person households, housing-dominated cluster shows the lowest economic level, that is the consumption expenditure level of this cluster is the lowest among younger one-person households. The unemployment rate is the highest and the household rate in budget deficit is also the highest.
    For the one-person households in the middle ages, the identified clusters are restaurants and hotels-dominated(38.2%), food-dominated(32.3%), housing-dominated(25.7%) and transport- dominated(7.1%). Except the food-dominated cluster, the clustering is similar with younger households. Even though the names are identical but the consumption expenditure structure is different. Household budget is relatively evenly allocated in various consumption categories for the one-person households in the middle ages.
    For the older one-person households, food-dominated(37.4%), housing-dominated(22.5%), balanced(22%) and health-dominated (18%) are identified as clusters. In general, the budget of the older one-person households are more likely tend to be intensively allocated to top three consumption categories for their all clusters than the other clusters of younger households. The levels of income and expenditure are the lowest for food-dominated cluster. But housing-dominated cluster and health-dominated cluster seem to be more problematic in terms of the consumption expenditure structures and the inability of solving the problems.
    The similar expenditure pattern which is identified across all ages is ho...
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    The purposes of this study were to identify consumption expenditure patterns of one-person households of different age groups, find out the socio-economic characteristics of the identified clusters, and then compare the patterns of different age group...

    The purposes of this study were to identify consumption expenditure patterns of one-person households of different age groups, find out the socio-economic characteristics of the identified clusters, and then compare the patterns of different age groups. For these purposes, one-person households were separated by three age groups : younger households(less than 35 years old), middle aged households(35-64 years old or less), and older households(over 64 years old). The consumption expenditure pattern means the way consumption categories are combined to form a way of life as a whole(Chung 1998, p.39). The consumption categories of this study employed those of the 2012 Household Income & Expenditure Survey of Statistics Korea that is the data of the study. The 12 standard consumption categories are ‘Food and non-alcoholic beverages’, ‘Alcoholic beverages and tobacco’, ‘Clothing and footwear’, ‘Housing, water, electricity and other fuels’, ‘Furnishings and household equipment’, ‘Health’, ‘Transport’, ‘Communication’, ‘Recreation and culture’, ‘Education’, ‘Restaurants and hotels’, and ‘Miscellaneous goods and services’. Cluster analysis which is a statistical method for categorizing the households into similar groups was utilized. The variables used as criteria variables are budget shares allocated to each consumption categories : i.e. the proportions of the expenditures of each consumption categories in total consumption expenditure. K-means cluster analyses were conducted using SPSS.
    The data of the study were the annual raw data of the 2012 Household Income & Expenditure Survey of Statistics Korea. Total sample consisted of 10,400 households of the whole country except farm and fishery households. Among them, 1,653 households were one-person households. Weighted results were presented. The main findings are as follows: Four consumption expenditure patterns are identified for each age groups. The clusters are named according to their dominant budget shares. For younger one-person households, the identified clusters are diverse activity oriented(48.6%), restaurants and hotels-dominated(25.6%), housing-dominated(21.9%) and transport-dominated(4%). Diverse activity oriented cluster consists the largest proportion of young one-person households. These households allocated their budget to diverse consumption categories and it shows their active lives compared with the households in other clusters. Of the younger one-person households, housing-dominated cluster shows the lowest economic level, that is the consumption expenditure level of this cluster is the lowest among younger one-person households. The unemployment rate is the highest and the household rate in budget deficit is also the highest.
    For the one-person households in the middle ages, the identified clusters are restaurants and hotels-dominated(38.2%), food-dominated(32.3%), housing-dominated(25.7%) and transport- dominated(7.1%). Except the food-dominated cluster, the clustering is similar with younger households. Even though the names are identical but the consumption expenditure structure is different. Household budget is relatively evenly allocated in various consumption categories for the one-person households in the middle ages.
    For the older one-person households, food-dominated(37.4%), housing-dominated(22.5%), balanced(22%) and health-dominated (18%) are identified as clusters. In general, the budget of the older one-person households are more likely tend to be intensively allocated to top three consumption categories for their all clusters than the other clusters of younger households. The levels of income and expenditure are the lowest for food-dominated cluster. But housing-dominated cluster and health-dominated cluster seem to be more problematic in terms of the consumption expenditure structures and the inability of solving the problems.
    The similar expenditure pattern which is identified across all ages is ho...

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    참고문헌 (Reference)

    1 박선미, "한국 경제개발 계획년도별 가계소비지출 구조분석" 10 (10): 1-18, 1992

    2 정영숙, "한·미 가계의 소비지출패턴 비교분석" 12 : 34-52, 1993

    3 정순희, "취업주부와 전업주부간의 소비지출패턴 비교" 18 (18): 93-108, 2000

    4 이소정, "저소득 가구의 소비패턴과 경제적 복지의 안정성" 한국사회보장학회 25 (25): 317-336, 2009

    5 통계청, "장래가구추계 시도편 : 2010-2035" 2012

    6 통계청, "인구·가구 구조와 주거 특성 변화" 2012

    7 문숙재, "소비지출패턴차이에관한연구-서울지역 편모가족과 양부모가족간의 비교를 중심으로-" 6 (6): 53-65, 1995

    8 정영숙, "소비지출패턴 : 연구동향과 미래전망" 11 (11): 85-101, 2000

    9 김기옥, "소비자의 주관적 경기전망과 소비지출패턴" 1 (1): 15-31, 1990

    10 정원오, "빈곤계층의 소비패턴에 관한 연구: 2007년과 2008년의 변화 비교" 한국사회복지연구회 42 (42): 305-331, 2011

    1 박선미, "한국 경제개발 계획년도별 가계소비지출 구조분석" 10 (10): 1-18, 1992

    2 정영숙, "한·미 가계의 소비지출패턴 비교분석" 12 : 34-52, 1993

    3 정순희, "취업주부와 전업주부간의 소비지출패턴 비교" 18 (18): 93-108, 2000

    4 이소정, "저소득 가구의 소비패턴과 경제적 복지의 안정성" 한국사회보장학회 25 (25): 317-336, 2009

    5 통계청, "장래가구추계 시도편 : 2010-2035" 2012

    6 통계청, "인구·가구 구조와 주거 특성 변화" 2012

    7 문숙재, "소비지출패턴차이에관한연구-서울지역 편모가족과 양부모가족간의 비교를 중심으로-" 6 (6): 53-65, 1995

    8 정영숙, "소비지출패턴 : 연구동향과 미래전망" 11 (11): 85-101, 2000

    9 김기옥, "소비자의 주관적 경기전망과 소비지출패턴" 1 (1): 15-31, 1990

    10 정원오, "빈곤계층의 소비패턴에 관한 연구: 2007년과 2008년의 변화 비교" 한국사회복지연구회 42 (42): 305-331, 2011

    11 삼성경제연구소, "부상하는 1인 가구의 4대 소비 트렌드" 2012

    12 박선옥, "미혼독신가구의 소비지출과 저축행태 및 유형화 연구" 4 (4): 33-52, 2008

    13 김년희, "독신가구의 재정상태 분석" 대한가정학회 43 (43): 85-104, 2005

    14 심영, "독신가구의 경제생활에 대한 탐색적 연구" 한국가정관리학회 20 (20): 197-208, 2002

    15 황은애, "도시가계의 소비지출과 소비지출패턴의결정요인" 37 (37): 117-132, 1999

    16 양세정, "도시가계의 소비양식변화에 관한 연구 (1970-1990년을 중심으로)" 8 : 54-67, 1991

    17 이승신, "도시가계의 비목별 소비지출에 영향을 미치는 변인" 17 (17): 17-31, 1999

    18 윤정혜, "도시 및 농촌가계의 소비지출구조의 분석 -1963년부터 1982년까지-" 2 (2): 850100-, 1984

    19 전상민, "단독가구의 소비지출패턴 유형 및 결정요인분석" 195-222, 2012

    20 성영애, "노인가계와 비노인가계의 소비지출구조 및 관련요인의 비교분석" 35 (35): 103-117, 1997

    21 최옥금, "노인 가구의 소비지출 유형화 및 영향요인 분석" 한국노인복지학회 (51) : 277-296, 2011

    22 이선영, "노인 가계지출구조 분석을 통한 집단 내 이질성에 대한 연구" 한국사회복지정책학회 16 (16): 44-68, 2003

    23 이윤정, "남녀 노인독신가구의 경제상태와 소비지출의 영향요인 분석" 대한가정학회 42 (42): 93-106, 2004

    24 반정호, "근로빈곤가구의 소비특성과 소비패턴 결정요인" 한국사회보장학회 24 (24): 1-28, 2008

    25 최현자, "가구주의 직업유형에 따른 소비지출양식의비교분석" 18 (18): 167-183, 2000

    26 여윤경, "가구유형에 따른 소비지출패턴 비교 분석" 12 (12): 65-81, 2001

    27 김영철, "가구유형 변화에 대한 대응방안" 한국개발연구원 2011

    28 주인숙, "가계의 소비지출유형과 특성에 관한 연구" 35 (35): 277-290, 1997

    29 정영숙, "가계의 소비지출 패턴-대구·경북 지역 가계를 중심으로" 3 (3): 1-14, 1992

    30 차경욱, "가계유형에 따른 소비지출행동 분석: 편모가계와 양부모가계의 비교" 한국가정관리학회 21 (21): 61-73, 2003

    31 손상희, "가계소비패턴의 구조" 4 (4): 51-72, 1993

    32 이소정, "Lifestyles of Korean Older Adults - Focusing on the consumption pattern and its determinants -" 한국사회복지연구회 40 (40): 327-348, 2009

    33 KB금융지주경영연구소, "KB daily 지식비타민 : 1인 가구의 주거 특성 분석" 2012

    34 Chung, Young Sook, "Culture and consumption expenditure patterns: comparison between Korean and United States households" 22 (22): 39-50, 1998

    35 정운영, "1인 노인가구의 경제적 특성과 삶의 만족도 연구: 저소득가구와 고소득 가구의 비교" 한국노년학회 31 (31): 1119-1134, 2011

    36 반정호, "1인 가구의 사회·경제적 특성과 변화" 55-67, 2012

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