IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2020i47p197-205.html
   My bibliography  Save this article

Consumption of cultural goods in Russia: What household surveys tell us?

Author

Listed:
  • Kapeliushnikov, R.

    (Primakov National Research Institute of World Economy and International Relations, RAS, Moscow, Russia
    Centre for Labour Market Studies, National Research University "Higher School of Economics"; Moscow, Russia)

  • Sharunina, A.

    (Centre for Labour Market Studies, National Research University "Higher School of Economics", Moscow, Russia)

Abstract

The paper examines dynamics in consumption of cultural goods in Russia. The sources of empirical data are the Russian Longitudinal Monitoring Survey (RLMS-HSE) for 2000-2018 and Rosstat's Complex Living Conditions Survey (CLCS) for 2011-2018. The analysis indicates that now approximately every second household and approximately every second adult individual consumes some cultural goods during the year. A regular audience is approximately one fifth of the total. The share of expenses on cultural goods reaches 2.5% of average monthly household budget. With the rapid income growth in 2000-2018 demand for cultural goods has been steadily increasing. There is a visible empirical regularity: the higher the income of households or individuals, the more active they are culturally. There appears to be a fairly banal, but effective practical way to stimulate demand for cultural goods in Russia: an acceleration of economic growth.

Suggested Citation

  • Kapeliushnikov, R. & Sharunina, A., 2020. "Consumption of cultural goods in Russia: What household surveys tell us?," Journal of the New Economic Association, New Economic Association, vol. 47(3), pages 197-205.
    • Handle: RePEc:nea:journl:y:2020:i:47:p:197-205
    DOI: 10.31737/2221-2264-2020-47-3-11
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2020-47-197-205r.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31737/2221-2264-2020-47-3-11?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tim Pawlowski & Christoph Breuer, 2012. "Expenditure elasticities of the demand for leisure services," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3461-3477, September.
    2. Muñiz, Cristina & Rodríguez, Plácido & Suárez, María J., 2014. "Sports and cultural habits by gender: An application using count data models," Economic Modelling, Elsevier, vol. 36(C), pages 288-297.
    3. Francesca Borgonovi, 2004. "Performing arts attendance: an economic approach," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1871-1885.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muñiz, Cristina & Rodríguez, Plácido & Suárez, María J., 2014. "Sports and cultural habits by gender: An application using count data models," Economic Modelling, Elsevier, vol. 36(C), pages 288-297.
    2. Sara Suarez-Fernandez & Juan Prieto-Rodriguez & Maria Jose Perez-Villadoniga, 2020. "The changing role of education as we move from popular to highbrow culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 189-212, June.
    3. Marvao, Catarina & Borowiecki, Karol, 2015. "Dance Participation and Attendance in Denmark," SITE Working Paper Series 33, Stockholm School of Economics, Stockholm Institute of Transition Economics.
    4. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
    5. Hasan Bakhshi & Salvatore Novo & Giorgio Fazio, 2023. "The “Great Lockdown” and cultural consumption in the UK," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(4), pages 555-587, December.
    6. Elisabetta Lazzaro & Carlofilippo Frateschi, 2017. "Couples’ arts participation: assessing individual and joint time use," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 47-69, February.
    7. Caterina Adelaide Mauri & Alexander Wolf, 2016. "Household Decisions on Arts Consumption: How Men Can Avoid the Ballet," Working Papers ECARES ECARES 2016-36, ULB -- Universite Libre de Bruxelles.
    8. Sibelle Diniz & Ana Machado, 2011. "Analysis of the consumption of artistic-cultural goods and services in Brazil," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(1), pages 1-18, February.
    9. Pablo De la Vega & Sara Suarez-Fernández & David Boto-García & Juan Prieto-Rodríguez, 2020. "Playing a play: online and live performing arts consumers profiles and the role of supply constraints," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 425-450, September.
    10. Michael Getzner, 2020. "Spatially Disaggregated Cultural Consumption: Empirical Evidence of Cultural Sustainability from Austria," Sustainability, MDPI, vol. 12(23), pages 1-19, December.
    11. Erik Thibaut & John Eakins & Steven Vos & Jeroen Scheerder, 2017. "Time and money expenditure in sports participation: The role of income in consuming the most practiced sports activities in Flanders," Sport Management Review, Taylor & Francis Journals, vol. 20(5), pages 455-467, December.
    12. Andrey David Ramos Ramírez & Nora Elena Espinal Monsalve, 2020. "Aplicación de modelos de elección discreta regularizados para el análisis de los determinantes del consumo cultural en Colombia: el caso de los bienes del patrimonio cultural [Aplicação de modelos reg," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(1), pages 37-68, January-A.
    13. Karol Borowiecki & Juan Prieto-Rodriguez, 2015. "Video games playing: A substitute for cultural consumptions?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(3), pages 239-258, August.
    14. Jorge Gonz�lez, 2015. "Estimating income elasticities of leisure activities using cross-sectional categorized data," Documentos de Trabajo dt2015-02, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    15. Montoro Pons, Juan D. & Cuadrado García, Manuel, 2009. "Determinantes del éxito comercial en las industrias culturales. Análisis del sector fonográfico en España/," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 253-272, Abril.
    16. Cuccia, Tiziana, 2009. "A Contingent Ranking Study on the Preferences of Tourists across Seasons/A Contingent Ranking Study on the Preferences of Tourists across Seasons," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 161-176, Abril.
    17. Castiglione, Concetta & Infante, Davide, 2014. "The evolution of theatre attendance in Italy: patrons and companies," MPRA Paper 63301, University Library of Munich, Germany, revised 07 Mar 2015.
    18. Donata Favaro & Carlofilippo Frateschi, 2007. "A discrete choice model of consumption of cultural goods: the case of music," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(3), pages 205-234, September.
    19. Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017. "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 71-93, February.
    20. Ateca-Amestoy, Victoria & Prieto-Rodriguez, Juan, 2013. "Forecasting accuracy of behavioural models for participation in the arts," European Journal of Operational Research, Elsevier, vol. 229(1), pages 124-131.

    More about this item

    Keywords

    consumption; cultural goods; income; Russia; survey data;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nea:journl:y:2020:i:47:p:197-205. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.