This document summarizes research on predicting museum attendance in Perm, Russia based on leisure activity. Regression analysis identified three groups - "Living life to the full" younger unmarried people with higher education and income who visit museums, "Trainees" whose attendance is strongly associated with parents visiting museums, and "Home-keeping hearts" older married women whose attendance decreases with internet usage. The study concludes leisure activity can predict frequent museum attendance and identifies factors influencing different groups' attendance, but lacks data on higher income groups and people under 22.
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Museum attendance in russian city
1. Museum Attendance in Russian
City: Leisure Activity as a Predictor
Iuliia Papushina, Lecturer in Consumer Behavior,
National Research University Higher School of
Economics, yupapushina@hse.ru
Maxim Ananyev, New Economic School, 2nd year M.A.
in Economics, maksim.ananjev@gmail.com
3. Why is Leisure Activity?
• Postsoviet social stratification is still too young
(Tikhonova, Shkharatan).
• Stratification based approach (Bourdieu,
DiMaggio) is too hard for adopting for local
particularities of consumer behavior and
stratification.
• Leisure activity is a derivative of different sorts
of phenomenon which allows identifying the
differences between groups not only between
classes but inside the same social class.
4. Research Setting – Perm
Population is about 1 mln, S=780 sq.km along the river Kama
Military and energy industries, engineering, oil extraction and production
Art museums
Ethnographical museum with branches
Official number of museum visiting is 581 thousand of people in 2010
5. Socio-demographic Profile
Gender
Male 46% (229)
Female 54% (271)
Total 100% (500)
Education
Secondary school 6%
Higher school 30%
Secondary vocational education 31%
Unfinished university course 4%
Finished university course 24%
Total 100% (500)
9. Regression coefficients for groups visiting museums
more than once per year and normalized values (given
in brackets), *** - significance 0,01, ** - significance 0,05, * - significance 0,1
Indicator “Living life to the “Trainees” “Home-keeping
full” hearts”
Age -8,134*** (-0.466) -2,285***( -0.162) 3,954*** (0.227)
Higher education 0,084*** (0.183) 0,122*** (0.268) 0,041* (0.089)
To be unmarried 0,119*** (0,279) Insignificant Insignificant
Income 0,205*** (0.213) Insignificant Insignificant
Female Insignificant Insignificant 0,232*** (0.466)
Parent’s frequency of 0,041***(0,149) 0,214*** (0,778) -0,033***
museum visiting (-0.119)
Usage of the Internet 0,222*** (0,445) 0,124*** (0,248) -0,0440**(-,088)
11. Conclusion
• Leisure Activity can predict only the fact of
visiting museum more than once per year;
• Entertainment and education;
• Parents’ visiting museums is significant factor;
• Still lack of knowledge about higher income
groups and people younger than 22.
Editor's Notes
Museum attendance is strongly influenced by stereotypes both visitors and museum staff about what museum is formed during Soviet era and obligatory school visits in museum with boring standard excursions when museum was an ideological institution. Museum is not regarded by city inhabitants as a place of leisure and entertainment. The average Permian resident visits museum once per few years or per year what is rarer than attendance of theater or concert. It looks more like ritual what is proved by the fact that absolutely majority of respondents claimed they have visited local museums. For soviet and considerable number of post-soviet people visiting museum is a sign of so called “cultural” person what means well-bread, educated and competent in art consumption one so it is quite hard to understand whether respondents claims he/she visited Permian museum not because of social desirable behavior. The latter trend was enhanced by governor’s projects on opening new museums and development different kinds of art. In given circumstances this paper predicts the probability of visiting museum more than once per year.
The data comes from the enquiry of 500 Permian residents at respondent’s place of living conducted in September, 2010. The sample was multi-stage systematic random sample. On the first step random selection of streets was made, then an interviewers visited each third flat in the buildings on the right street side. The respondent from the concrete household was selected according to the quotes counted based on state statistics data on district population, gernder and age structure of the city population. According to our data the number of museum attendence is overvalued, that might be provoked 1. by the state task putting general number of visitors for state owned museums; 2. by special attention to museums the previous governor who pushed culture-lead regeneration strategy in development of the region capital.
In comparison with the state statistics data research data is biased at the side of less wealthy residents. The bias and only one sample used for appliance of our empirical strategy makes us to define this research as exploratory.
The explained dispersion accounts for 56%. According to average value of socio-demographic indicators for each leisure activity Living Life to the Full are the youngest (37) with the highest share of unmarried persons, among the Trainees there is the highest share of respondents with finished university course (42%) and 57% of females. Home-Keeping Hearts are mainly women (more than 70%). As average age shows we deal with the behavior of people who took their museum visiting habits during last soviet time and first postsoviet years which means probably following parents’ model of museum attendance which the regression coefficient proves as well.
Напиши, пожалуйста, еще раз физический смысл нормализованного значения. Expectedly, income is significant for the type which practices paid and out home leisure activity. As you can see for the type Trainees there are very few indicators which might describe the respondents belonging to this type. As for Home-keeping Hearts we interpret this type as a women who save soviet cultural consumption pattern where visiting museum was the sing of lived in city and cultural advanced person.
Expectedly, church goers cover the oldest respondents. The share of male is the highest among Summer residents type (about 60%). Interestingly there is very few variance in income from type to type. In fact only Living life to the full is influenced by income. Average estimations witness about high homogeneity of the types. So, it might be necessary to pay special attention for investigating museum visiting practices of higher income inhabitants.