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The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies

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  • Guangchao Charles Feng

Abstract

This study attempts to understand the dynamics of the rapidly growing Chinese film industry by relying on a revised reason action model that uses a data-mining approach with aggregated data to examine the determinants of people’s intentions to see movies. The results show that attitude towards seeing movies indicated by online film ratings, collective norms represented by box-office performance and Academy Award win(s) significantly predict intentions to see movies. In addition, a movie’s year of release, star power, country of origin, adaptation from a novel and status as a sequel were significant predictors of aggregated intentions.

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  • Guangchao Charles Feng, 2017. "The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies," Asia Pacific Business Review, Taylor & Francis Journals, vol. 23(5), pages 658-676, October.
    • Handle: RePEc:taf:apbizr:v:23:y:2017:i:5:p:658-676
    DOI: 10.1080/13602381.2017.1294353
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    1. Chi-Wei Su & Lu Liu & Kai-Hua Wang, 2020. "Do Bubble Behaviors Exist in Chinese Film Stocks?," SAGE Open, , vol. 10(4), pages 21582440209, December.
    2. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    3. Lili Kang & Fei Peng, 2024. "Star power as quality signal or marketing effect? A path analysis on China's motion‐picture industry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3639-3655, July.
    4. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    5. Fu, Senhui & Yan, Qing & Feng, Guangchao Charles, 2018. "Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context," International Journal of Information Management, Elsevier, vol. 40(C), pages 88-102.
    6. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.

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