디지털융복합연구 (Journal of Digital Convergence)

  • 제18권5호
  • /
  • Pages.127-138
  • /
  • 2020
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

한국 가계의 잠재소비유형 변화와 결정요인

The effect of the transition of life course on changes in consumption patterns of Korean Households

  • 최홍철 (충북대학교 소비자학과) ;
  • 유재언 (가천대학교 사회복지학과)
  • Choi, Hong-Cheol (Department of Consumer Science, Chungbuk National University) ;
  • Yoo, Jaeeon (Department of Social Welfare, Gachon University)
  • 투고 : 2020.04.17
  • 심사 : 2020.05.20
  • 발행 : 2020.05.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 2010년과 2017년 두 시점에서 한국 가계의 소비유형 전이 패턴과, 소비유형간 전이에 미치는 생애주기의 영향력을 알아보고자 하였다. 이를 위해 한국노동패널 2010년과 2017년 조사의 4,717가구 자료를 활용하여 잠재프로파일분석 및 로지스틱회귀모형 분석을 하였다. 두 시점의 잠재프로파일분석 결과, 동일하게 식비중심형, 교육비중심형, 의료비중심형, 내구재중심형의 4개 유형이 도출되어 가계의 소비유형이 두 시점 사이에 커다란 변화가 없음을 확인하였다. 소비유형의 변화를 살펴본 잠재전이분석 결과는 가구 수준에서 두 시점 간 소비유형 변화가 활발히 나타나고 있음을 보여주었다. 소비유형 전이가 생애주기에 따라서 어떻게 달라지는지 알아보고자 로지스틱회귀모형분석을 한 결과 혼인지위 변화, 자녀의 출생 및 분가가 유의한 설명변수였다. 이는 소비정책을 수립하거나 기업에서 마케팅 대상을 정할 때 가구 소비유형이 어떻게 변화되는지 생애과정관점을 고려해야 한다는 시사점을 준다.

This study investigated the patterns of transition of consumption patterns in Korean households in 2010 and 2017, and the impact of the life cycle on the transition of consumption patterns between the two time points. Using information on 4,717 households from the 2010 and 2017 data of the Korean Labor Panel Survey, we examined the effect of the family life cycle on changes in consumption patterns. The results of the latent transition analysis on the change in consumption type showed that the change in consumption type between the two points of time at the household level was relatively active. The logistic regression models reported that the transition of consumption type varies depending on the life cycle, such as changes in marital status, birth and independence of children. These results provide the implication that it is necessary to consider from the perspective of the family life course how the transition between their consumption types occurs when the government establishes consumption policies and companies set marketing target groups.

키워드

참고문헌

  1. Choi, H. (2019). A Study on the period classification and influencing factors of changes in Korean household consumption styles. Doctoral dissertation. Seoul National University.
  2. Jung, Y. (200). Consumption expenditure pattern: Research trend and future perspectives. Journal of Consumer Studies, 11(2), 85-101.
  3. Frank, R. E., Massey, W. F., & Wind, Y. (1972). Market segmentation. Burlington: Prentice Hall.
  4. Joung, W., & Lee, S. (2011). A study on the consumption patterns of poor Househoolds. Korean Journal of Social Welfare Studies, 42(1), 305-331. https://doi.org/10.16999/KASWS.2011.42.1.305
  5. Son, S. (1993). The structure of household consumption pattern. Journal of Consumer Studies, 4(2), 51-72.
  6. Jun, S. (2013). Spending pattern types and their determinants for one-person households in Korea. Journal of Consumer Policy Studies, 44(3), 21-43. https://doi.org/10.15723/jcps.44.3.201312.21
  7. Sung, Y. (2013). Cluster analysis for the consumption expenditure patterns of one-person households of different age groups. Journal of Consumer Studies, 24(3), 157-182.
  8. Kim, J. (2016). The determinants of consumption characteristics and patterns of elderly households. Journal of the Korea Gerontological Society, 36(3), 905-926.
  9. Yang, S. (2005). An analysis of economic status by expenditure patterns of employed-wife households. The Journal of Social Sciences, 20, 1-23. https://doi.org/10.1080/09718923.2009.11892715
  10. Choi, A., & Rha, J. (2012). How do consumers search for information in multi-channel environment?: Consumer typology based on their choice of information channel. Journal of Consumer Studies, 23(2), 135-164.
  11. Park, S., & Hong, S. (2017). The effect of baby-boomer retirees’ consumption patterns on depression in later life. Journal of the Korean Gerontological Society, 37(2), 349-368.
  12. Cho, D., & Yang, S. (2003). Trends in Households Expenditures: 1980-2002. The Journal of Social Sciences, 17, 1-20. https://doi.org/10.1080/09718923.2008.11892627
  13. Yang, S. (1991). A study on the changes in consumption patterns of urban households. Consumer Life Research, 8, 54-67.
  14. Yoo, Y. (1984). A Study on the family life cycle model of Korean urban families. Journal of Korean Home Management Association, 2(1), 111-129.
  15. Loomis, C. P. (1936). The Study of the Life Cycle of Families. Rural Sociology, 1(2), 180.
  16. Lansing, J. B., & Morgan, J. N. (1955). Consumer finances over the life cycle. Consumer behavior, 2(4), 36-50.
  17. Kirkpatrick, E. L., Cowles, M., & Tough, R. (1934). life cycle of the farm family in Relation to Its Standard of Living, Research Bulletin No. 121, Madison, WI: University of Wisconsin Agricultural Experiment Station.
  18. Choi, H., & Choi, H. (2014). A study on the consumption expenditure over the revised life cycle. Financial Planning Review, 7(3), 93-125.
  19. Norton, A. J. (1974). The Family-Life Cycle Updated: Components and Uses. Selected Studies in Marriage and the Family, eds. Robert F.Winch and Graham B. Spanier, New York: Holt, Rinehart and Winston, 162-167.
  20. Glick, P. C. (1947). The family cycle. American Sociological Review, 12(2), 164-174. https://doi.org/10.2307/2086982
  21. Wells, W. D., & Gubar, G. (1966). Life cycle concept in marketing research. Journal of Marketing Research, 3(4), 355-363. https://doi.org/10.1177/002224376600300403
  22. Baek, E. (2009). Households’ financial structures and the propensity to save over the life cycle stages. Journal of Consumer Studies, 20(2), 1-25.
  23. Chun, H., & Lee, Y. (2007). Income and consumption expenditure patterns of urban salary and wage earner’s household over the family life cycle. Journal of Family Resource Management, 11(1), 65-85.
  24. Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: Wiley.
  25. Lanza, S. T., Patrick, M. E., & Maggs, J. L. (2010). Latent transition analysis: Benefits of a latent variable approach to modeling transitions in substance use. Journal of Drug Issues, 40(1), 93-120. https://doi.org/10.1177/002204261004000106
  26. Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302-317. https://doi.org/10.1111/j.1751-9004.2007.00054.x