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Determinants of performing arts attendance in Taiwan: a multivariate probit analysis

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  • Tsung-Chi Cheng
  • Wei-Jen Wen

Abstract

This article uses data collected from a telephone survey of Taiwanese residents to investigate the live performance attendances at four types of performing arts: contemporary drama, traditional theatre, dance and music. We estimate a Multivariate Probit (MVP) model to characterize the audience for each type of performing arts and to find out the pairwise correlations across performing arts. The audience of traditional theatre appears to be quite different from that of the other three types of performing arts. We also show significant and positive correlations across attendances at all four performing arts, with the correlation coefficient between dance and music being the highest. This indicates that performing arts are complements and audiences tend to be 'omnivorous' rather than 'univorous'.

Suggested Citation

  • Tsung-Chi Cheng & Wei-Jen Wen, 2011. "Determinants of performing arts attendance in Taiwan: a multivariate probit analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1437-1442.
  • Handle: RePEc:taf:apeclt:v:18:y:2011:i:15:p:1437-1442
    DOI: 10.1080/13504851.2010.543060
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    References listed on IDEAS

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    1. Lopez Sintas, Jordi & Garcia Alvarez, Ercilia, 2005. "Four characters on the stage playing three games: performing arts consumption in Spain," Journal of Business Research, Elsevier, vol. 58(10), pages 1446-1455, October.
    2. Francesca Borgonovi, 2004. "Performing arts attendance: an economic approach," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1871-1885.
    3. 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.
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    1. 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.
    2. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    3. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Resurrecion, Anna, 2015. "Drivers of Regular Consumption of Fresh Fruit and Vegetables in Urban Households of the Republic of Uganda," 2015 Conference, August 9-14, 2015, Milan, Italy 212202, International Association of Agricultural Economists.
    4. Geng Chen & Pei Tang, 2021. "Similar but special: an econometric analysis of live performing arts attendance in mainland China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 459-490, September.
    5. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Ressurrecion, Anna, 2015. "Shopping outlet choice and frequency in urban areas of the Republic of Uganda," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196821, Southern Agricultural Economics Association.
    6. Wei-Jen Wen & Tsung-Chi Cheng, 2013. "Performing arts attendance in Taiwan: who and how often?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 309-325, May.

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