Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Determinants of Culture and Art Consumption of One Person Households

1인가구 문화예술 소비에 영향을 미치는 요인에 관한 연구

  • Choi, Soonhwa (Dept. of International Business, Dongduk Women's University)
  • 최순화 (동덕여자대학교 국제경영학과)
  • Received : 2021.05.26
  • Accepted : 2021.08.20
  • Published : 2021.08.28
Download PDF
⟨ Previous Next ⟩

Abstract

This study aims to analyze the determinants of culture and art consumption of one person households using 「2019 National Art and Culture Activity Survey」. Based on previous research, cultural and economic capital, health perception, and residence were selected as independent variables, and 1,755 single household data on cultural attendance, art education, and demographics were extracted to analyze the relationships. Zero-inflated negative binomial model was employed as cultural attendance variable includes many zeros. It was found that education has a significant impact on cultural attendance possibility and frequency. However, art education in childhood, income, health perception, and residence were found to have selective effects, and unique characteristics of single households influences the findings. This study contributes to developing relevant research by focusing on the single households and provides implications to boost cultural consumption. Finally, directions for future research, such as considering psychographic variables, were suggested.

본 연구의 목적은 「2019 국민문화예술활동조사」 자료를 사용하여 1인가구의 문화예술 소비에 영향을 미치는 요인을 파악하는 것이다. 기존 연구를 바탕으로 문화자본, 경제자본, 건강 인식, 거주지역 등을 문화예술 소비의 선행요인으로 설정하였으며, 1인가구 1,755명의 문화예술관람, 문화예술교육, 인구통계학적 자료를 추출하여 영향 관계를 분석하였다. 본 연구는 문화예술 관람 횟수가 '0'인 응답자가 다수라는 자료의 특수성을 고려하여 영과잉음이항 모형을 적용하였다. 1인가구의 학력은 순수 및 대중예술 관람 가능성과 횟수에 유의한 영향을 미치는 것으로 나타났다. 반면 유·아동기 및 청소년기 문화예술 교육, 소득, 건강 인식, 거주지역은 문화예술 유형별 소비 가능성과 소비량에 선별적인 영향을 미치는 것으로 분석되었으며, 여기에는 다양한 경험을 적극적으로 추구하는 1인가구의 고유한 특성이 작용한 것으로 해석된다. 본 연구는 1인가구에 집중하여 문화예술 소비의 결정변수를 파악함으로 관련 연구의 발전에 기여하고, 관련 시장을 활성화하기 위한 실무적, 정책적 시사점을 제공한다. 끝으로 심리사회적 변수 도입 등 후속 연구를 위한 방안을 제시하였다.

Keywords

References

  1. Kwon, Y., & Lee, W. (2021). A Study on the Characteristics & Consumption Patterns of Single-person Households. Journal of Korea Regional Economics, 19(1), 51-78. https://doi.org/10.34282/krea.2021.19.1.3
  2. Chung, I., & Oh, S. (2020). 2020 One Person Household Report. Seoul: KB Research.
  3. Seoul Foundation of Art and Culture (2019). 2018 Cultural Enjoyment Survey of Seoul Citizens. Seoul.
  4. Baik, C., & Heo, S. (2020). Cultural Attendance Differentials Between Baby-Boomers and Eco-Boomers: Focusing on Oaxaca-Ransom Decomposition Method. Review of Culture and Economy, 23(2), 135-166. DOI : 10.36234/kace.2020.23.2.135
  5. Ryu, H., & Heo, S. (2018). The Determinants of Demand fro Fine Arts according to Cultural Capitals by Periods and Activities: Focusing on the Comparison of Exhibition and Performing Arts. Journal of Cultural Policy, 32(2), 87-113. https://doi.org/10.16937/jcp.2018.08.32.2.87
  6. Sung, J. (2012). A Study of Effect of Cultural Consumption Capital on Consumption of Artistic-cultural Goods. Review of Culture and Economy, 15(1), 67-93.
  7. Jung, J. (2016). Research on the Influence of Arts and Culture Education in Childhood and Teenager Yeats on the Consumption of Arts and Culture: Focus on the Zero-inflated Negative Binomial Model. Journal of Product Research, 34(2), 67-75. https://doi.org/10.36345/KACST.2016.34.2.006
  8. Bourdieu, P. (1984). Distinction: A Social Critique of the Judgment of Taste. Cambridge: Harvard University Press.
  9. Kim, D., & Heo S. (2020). A Comparison of Determinants of Cultural Attendance through New Media and On-site. Review of Culture and Economy, 23(3), 33-60. DOI : 10.36234/kace.2020.23.3.33
  10. Becker, G. S. (2007). Health as Human Capital: Synthesis and Extensions. Oxford Economic Papers, 59, 379-410. DOI : 10.1093/oep/gpm020
  11. Grossman, M. (1972). On the Concept of Health Capital and the Demand for Health. Journal of Political Economy, 80(2), 223-255. https://doi.org/10.1086/259880
  12. Lee, S. The Impact of Covid-19 on the Performing Arts Sector and the Responses Needed. Journal of Digital Convergence, 19(3), 453-363. https://doi.org/10.14400/JDC.2021.19.3.453
  13. Zaninotto, P., & Falaschetti, E. (2011). Comparison of Methods for Modelling a Count Outcome with Excess Zeros: Application to Activities of Daily Living (ADL-s). Journal of Epidemiology & Community Health, 65(3), 205-210. https://doi.org/10.1136/jech.2008.079640
  14. Ryu, T. (2008). A Comparative Study of Cultural Development of the Korean Seven Metropolitan Cities: Focusing on the Functions of Cultural Productions, Cultural Circulation and Cultural Consumption of the Cities. The Korean Civic Ethics Society, 21(2), 203-222.
  15. Kim, C. (2017). The Effects of Emphatic Value Expectation of Culture & Art Education and Social Intention have on Eliminating Controlled Mechanism. Journal of Digital Convergence, 15(4), 427-441. https://doi.org/10.14400/JDC.2017.15.4.427
  16. Kim, E., & Kwon, K. (2015). Cultural Capital and Expanded Musical Consumption. Korean Journal of Communication & Information, 69, 111-138.
  17. Park, E., & Choi, H. (2014). A Study on Cultural Consumption of Korean Adults of the Early 21st Century. Journal of Digital Convergence, 12(9), 433-443. DOI : 10.14400/JDC.2014.12.9.433
  18. Rhee, Y., & Shin, E. (2011). Qualitative Study about Value Cognition and Benefits of Consumer on Culture-Art Products. Asia Marketing Journal, 12(4), 27-54.
  19. Hong, Y., Yoon, K., & Lee, M. (2015). A Study on the Determinants of Cunsumption of Art and Culture. GRI Reviews, 17(1), 185-212.
  20. Statistics Korea (2020). One Person Household Report. Daejeon.
  21. Choi, S., & Choi, S. (2012). A Study on Leisure Capital and Policy Application: Focusing on the Generation of 3050. Journal of Women and Economics, 9(1), 177-193.
  22. DiMaggio, P., & Ostrower, F. (1990). Participation in the Arts by Black and White Americans. Social Forces, 68(3), 753-778. https://doi.org/10.1093/sf/68.3.753
  23. De Graaf, N. D., De Graaf, P. M., & Kraaykamp, G. (2000). Parental Cultural Capital and Educational Attainment in the Netherlands. Sociology of Education, 73(2), 92-111. https://doi.org/10.2307/2673239
  24. Vanzella-Yang, A. (2018). The Stratification of Attendance at Cultural Activities in Canada. Canadian Review of Sociology, 55(3), 476-494. https://doi.org/10.1111/cars.12213
  25. Chan, T. W., & Goldthorpe, J. H. (2007). Social Stratification and Cultural Consumption: Music in England. European Sociological Review, 23(1), 1-19. https://doi.org/10.1093/esr/jcl016
  26. Ateca-Amestoy, V., & Prieto-Rodriguez, J. (2013). Forecasting Accuracy of Behavioral Models for Participation in Arts. European Journal of Operational Research, 229(1), 123-131.
  27. Bauman, Z. (2011). Culture in a Liquid World. Cambridge: Polity.
  28. Fancourt, D., Steptoe, A., & Cadar, D. (2018). Cultural Engagement and Cognitive Reserve. British Journal of Psychiatry, 213(5), 661-663. https://doi.org/10.1192/bjp.2018.129
  29. Weziak-Bialowolska, D. (2016). Attendance of Cultural Events and Involvement with the Arts. Public Health, 139, 161-169. https://doi.org/10.1016/j.puhe.2016.06.028
  30. Moon, Y. (2020). Effects of Cultural Activities on Life Satisfaction. Journal of Welfare and Counselling Education, 9(1), 195-224.
  31. Wang, S., Mak, H. W., & Fancourt, D. (2020). Arts, Mental Distress, Mental Health Functioning & Life Satisfaction. BMC Public Health, 20(1), 1-9. https://doi.org/10.1186/s12889-019-7969-5
  32. Savage, M., Hanquinet, L., Cunningham, N., & Hjellbrekke, J. (2018). Emerging Cultural Capital in the City: Profiling London and Brussels. International Journal of Urban and Regional Research, 42(1), 138-149. https://doi.org/10.1111/1468-2427.12531
  33. Cox, D. R. (1983). Some Remarks on Overdispersion. Biometrika, 70, 269-274. https://doi.org/10.1093/biomet/70.1.269
  34. Khan, A., Ullah, S., & Nitz, J. (2011). Statistical Modeling of Falls Count Data with Excess Zeros. Inquiry Prevention, 17(4), 266-270.
  35. Bae, I. (2018). The Effects of Cultural Arts on the Improvement of Happiness Index of Seoul Citizens. Journal of Digital Convergence, 16(11), 89-96. https://doi.org/10.14400/JDC.2018.16.11.089