Abstract
This study uses the Academy Awards as a window to look into how cultural differences influence the reception of U.S. movies in East Asia. Following the recent research on the concept of cultural discount and the argument that the Academy Awards are indicators of cinematic qualities and achievement, the research questions focus on whether different types of cinematic qualities and achievement would be discounted by cultural differences to different extents. More specifically, a distinction between drama and non-drama awards is made, and it is argued that the cinematic qualities and achievement indicated by the drama awards are likely to be relatively more culturally specific and hence more likely to be discounted by cultural differences. The empirical analysis examines the box office performance of 585 U.S. movies from 2002 to 2007 in nine East Asian markets. It shows that non-drama awards relate positively to box office receipts, but drama awards relate negatively to box office receipts. Moreover, the negative relationship between drama awards and box office receipts is stronger in countries more culturally distant from the U.S. The findings are therefore highly supportive to the conceptual arguments. Other implications of the findings are also discussed.
Similar content being viewed by others
Notes
This argument is also related to Straubhaar’s (1991) concept of cultural proximity.
This distinction between awards as signals and as measures is analogous to the distinction, made by Eliashberg and Shugan (1997), between the role of movie reviewers as influencers and as predictors. For Eliashberg and Shugan (1997), critics are influencers when potential audiences treat reviews as informational cues or signals to determine whether a movie is worth watching or not. However, critics can also simply be predictors—it is possible that critics’ opinions can predict box office simply because their opinions are indeed a good measure of the audience appeal a movie has. Certainly, critics can be both in reality, and a number of studies have attempted to identify the relative importance of the two roles (e.g., Basuroy et al. 2003; Boatwright et al. 2007; Reinstein and Snyder 2005).
Certainly, the Academy Awards embody the judgments of the members of the Academy. It would be naive to assume that the quality judgments of the Academy members would always correspond to the audience’s own judgments regarding whether a movie is enjoyable or not (see Levy 2003). Yet the argument here is not that the content elements indicated by the Academy Awards always have audience appeal. The point is that if the content elements indicated by the Academy Awards are appealing to the audience, then a positive relationship between awards and box office can be expected.
Country of origin of the movies was recorded from the Internet Movie Database, the other online source utilized in this study.
In the current dataset, with the exception of Japan (average release time lag = 113 days), the average release time lag for the other markets ranges from only about 38 days in Malaysia to about 66 days in South Korea. These figures are substantially smaller than those reported by Elberse and Eliashberg (2003) regarding the release time lag of 164 U.S. movies in the year 1999 in four European countries, which ranged from 112 days in UK to 140 days in Germany. The difference probably illustrates both regional variations (local movie industries may be generally weaker in East Asian markets, and therefore, U.S. distributors may be more capable of getting their preferred release time slots) and historical change (the shortening of release time lag over the years).
Zero and 180 were set as the lower and upper limits of the release time lag variable to avoid the results from being heavily influenced by outlying values on the variable.
Admittedly, this operationalization means that the non-drama awards would include a number of awards which may not belong to the technical, visual, or musical clusters identified by Simonton (2002, 2005). Presumably, we can create variables representing each single cluster, while using an “other” category to capture the remaining awards. However, this obviously would over-complicate the analysis and also create problems of multicollinearity in the regression analysis. As far as the arguments in this study are concerned, the distinction between drama and non-drama awards is the most important. Hence, the current operationalization should provide the most reasonable basis for analysis.
A more precise splitting of the sample is possible if we have the ending dates of the movies’ theatrical releases. Unfortunately, no such information is available.
Logged U.S. box office was added into this probit model such that the inverse Mills ratios derived from the analysis would not be heavily correlated with the other major independent variables in the original regression model.
References
Allen, M. P., & Lincoln, A. E. (2004). Critical discourse and the cultural consecration of American films. Social Forces, 82(3), 871–893. doi:10.1353/sof.2004.0030.
Baimbridge, M. (1997). Movie admissions and rental income: The case of James Bond. Applied Economics Letters, 4(1), 57–61. doi:10.1080/758521834.
Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How critical are critical reviews? The box office effects of film critics, star power, and budgets. Journal of Marketing, 67(4), 103–117. doi:10.1509/jmkg.67.4.103.18692.
Boatwright, P., Basuroy, S., & Kamakura, W. (2007). Reviewing the reviewers: The impact of individual film critics on box office performance. QME: Quantitative Marketing and Economics, 5(4), 401–425. doi:10.1007/s11129-007-9029-1.
Chang, B. H., & Ki, E. J. (2005). Devising a practical model for predicting theatrical movie success: Focusing on the experience good property. Journal of Media Economics, 18(4), 247–269. doi:10.1207/s15327736me1804_2.
Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, N.J.: LEA.
Craig, S., Greene, W., & Douglas, S. (2005). Cultural matters: Consumer acceptance of U.S. films in foreign markets. Journal of International Marketing, 13(4), 80–103. doi:10.1509/jimk.2005.13.4.80.
De Vany, A. S., & Walls, W. D. (2007). Estimating the effects of movie piracy on box office revenue. Review of Industrial Organization, 30(4), 291–301. doi:10.1007/s11151-007-9141-0.
Dellarocas, C., & Narayan, R. (2006). A statistical measure of a population’s propensity to engage in post-purchase online word-of-mouth. Statistical Science, 21(2), 277–285. doi:10.1214/088342306000000169.
Deuchert, E., Adjamah, K., & Pauly, F. (2005). For Oscar glory or Oscar money? Academy awards and movie success. Journal of Cultural Economics, 29(3), 159–176. doi:10.1007/s10824-005-3338-6.
Dodds, J. C., & Holbrook, M. B. (1988). Whats an Oscar worth? An empirical estimation of the effects of nominations and awards on movie distribution and revenues. Current Research in Film: Audiences. Economics and Law, 4, 72–87.
Einav, L. (2007). Seasonality in the US motion picture industry. The Rand Journal of Economics, 38(1), 127–145. doi:10.1111/j.1756-2171.2007.tb00048.x.
Elberse, A., & Eliashberg, J. (2003). Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Science, 22(3), 329–354.
Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? Journal of Marketing, 61(2), 68–78. doi:10.2307/1251831.
Epstein, E. J. (2006). The big picture: Money and power in Hollywood. New York: Random House.
Fu, W. W., & Lee, T. K. (2008). Economic and cultural influences on the theatrical consumption of foreign films in Singapore. Journal of Media Economics, 21(1), 1–27. doi:10.1080/08997760701806769.
Gemser, G., Leenders, M. A. A. M., & Wijnberg, N. M. (2008). Why some awards are more effective signals of quality than others: A study of movie awards. Journal of Management, 34(1), 25–54. doi:10.1177/0149206307309258.
Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153–161. doi:10.2307/1912352.
Hennig-Thurau, T., Houston, M. B., & Walsh, G. (2006). The differing roles of success drivers across sequential channels: An application to the motion picture industry. Journal of the Academy of Marketing Science, 34(4), 559–575. doi:10.1177/0092070306286935.
Hennig-Thurau, T., Houston, M., & Walsh, G. (2007). Determinants of motion picture box office and profitability: An interrelationship approach. Review of Managerial Science, 1, 65–92. doi:10.1007/s11846-007-0003-9.
Hennig-Thurau, T., Walsh, G., & Bode, M. (2004). Exporting media products: Understanding the success and failure of Hollywood movies in Germany. Advances in Consumer Research. Association for Consumer Research (U. S.), 31, 633–638.
Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. Thousand Oaks: Sage.
Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations. Thousand Oaks: Sage.
Holbrook, M. B., & Addis, M. (2008). Art versus commerce in the movie industry: A two-path model of motion-picture success. Journal of Cultural Economics, 32(2), 87–107. doi:10.1007/s10824-007-9059-2.
Hoskins, C., & Mirus, R. (1988). Reasons for U.S. dominance of the international trade in television programmes. Media Culture & Society, 10, 499–515. doi:10.1177/016344388010004006.
Jayakar, K., & Waterman, D. (2000). The economics of American movie exports: An empirical analysis. Journal of Media Economics, 13(3), 153–169. doi:10.1207/S15327736ME1303_1.
Kale, S. H. (1991). Culture-specific marketing communications: An analytical approach. International Marketing Review, 8(2), 18–30. doi:10.1108/02651339110004078.
King, G. (2000). Spectacular narratives: Hollywood in the age of the blockbusters. London: I. B. Tauris.
King, G. (2002). New Hollywood cinema: An introduction. London: I. B. Tauris.
Kogut, B., & Singh, H. (1988). The effect of national culture on the choice of entry mode. Journal of International Business Studies, 19(3), 411–432. doi:10.1057/palgrave.jibs.8490394.
Lee, S. W. (2002). An economic analysis of the movie industry in Japan. Journal of Media Economics, 15(2), 125–139. doi:10.1207/S15327736ME1502_4.
Lee, F. L. F. (2006a). Cultural discount and cross-culture predictability: Examining U.S. movies’ box office in Hong Kong. Journal of Media Economics, 19(4), 259–278. doi:10.1207/s15327736me1904_3.
Lee, F. L. F. (2006b). Audience taste divergence over time: Box office of Hollywood movies in Hong Kong, 1989–2004. Journalism & Mass Communication Quarterly, 83(4), 883–900.
Lee, F. L. F. (2008). Hollywood movies in East Asia: Examining cultural discount and performance predictability at the box office. Asian Journal of Communication, 18, 117–136. doi:10.1080/01292980802021855.
Levy, E. (2003). All about Oscar: The history and politics of the academy awards. New York: Continuum.
Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16, 159–175. doi:10.1111/j.0022-3840.1983.1604_159.x.
Litman, B. R., & Ahn, H. (1998). Predicting financial success of motion pictures: The early 90s’ experience. In B. R. Litman (Ed.), The motion picture mega-industry (pp. 172–197). MA: Allyn Bacon.
Litman, B. R., & Kohl, L. S. (1989). Predicting financial success of motion pictures: The 80s’ experience. Journal of Media Economics, 2, 35–50.
Miller, T., Govil, N., McMurria, J., Maxwell, R., & Wang, T. (2005). Global Hollywood 2. London: British Film Institute.
Nelson, R. A., Donihue, M. R., Waldman, D. M., & Wheaton, C. (2001). What’s an Oscar worth? Economic Inquiry, 39(1), 1–16. doi:10.1093/ei/39.1.1.
Oh, J. (2001). International trade in film and the self-sufficiency ratio. Journal of Media Economics, 14(1), 31–44. doi:10.1207/S15327736ME1401_03.
Prag, J., & Casavant, J. (1994). An empirical study of the determinants of revenues and marketing expenditures in the motion picture industry. Journal of Cultural Economics, 18, 217–235. doi:10.1007/BF01080227.
Reinstein, D. A., & Snyder, C. M. (2005). The influence of expert reviews on consumer demand for experience goods: A case study of movie critics. The Journal of Industrial Economics, 53(1), 27–51. doi:10.1111/j.0022-1821.2005.00244.x.
Roberts, G. (2003). Circulations of taste: Titanic, the Oscars, and the middlebrow. In J. Stringer (Ed.), Movie blockbusters (pp. 155–166). London: Routledge.
Shenkar, O. (2001). Cultural distance revisited: Towards a more rigorous conceptualization and measurement of cultural differences. Journal of International Business Studies, 23(3), 519–535. doi:10.1057/palgrave.jibs.8490982.
Simonoff, J. S., & Sparrow, I. R. (2000). Predicting movie grosses: Winners and losers, blockbusters and sleepers. Chance Magazine, 13(3), 15–24.
Simonton, D. K. (2002). Collaborative aesthetics in the feature film: Cinematic components predicting the differential impact of 2, 323 Oscar-nominated movies. Empirical Studies of the Arts, 20, 115–125. doi:10.2190/RHQ2-9UC3-6T32-HR66.
Simonton, D. K. (2004). Group artistic creativity: Creative clusters and cinematic success in 1,327 feature films. Journal of Applied Social Psychology, 34, 1494–1520. doi:10.1111/j.1559-1816.2004.tb02016.x.
Simonton, D. K. (2005). Cinematic creativity and production budgets: Does money make the movie? The Journal of Creative Behavior, 39(1), 1–15.
Smith, S. P., & Smith, V. K. (1986). Successful movies: A preliminary empirical analysis. Applied Economics, 18(5), 501–507. doi:10.1080/00036848608537445.
Sochay, S. (1994). Predicting the performance of motion pictures. Journal of Media Economics, 7(4), 1–20. doi:10.1207/s15327736me0704_1.
Straubhaar, J. (1991). Beyond media imperialism: Asymmetrical interdependence and cultural proximity. Critical Studies in Mass Communication, 8, 39–59.
Stringer, J. (Ed.). (2003). Movie blockbusters. New York: Routledge.
Terry, N., Butler, M., & De’Armond, D. (2005). The determinants of domestic box office performance in the motion picture industry. Southern Economic Review, 13, 7–148.
Wasko, J. (2005). Critiquing Hollywood: The political economy of motion pictures. Southwestern Economic Review, 32, 137–148.
Waterman, D. (1988). World television trade: The economic effects of privatization and new technology. Telecommunications Policy, 12(2), 141–151. doi:10.1016/0308-5961(88)90006-7.
Waterman, D. (2005). Hollywood’s roads to riches. Harvard: Harvard University Press.
Waterman, D., & Jayakar, K. P. (2000). The competitive balance of the Italian and American film industries. European Journal of Communication, 15(4), 501–528. doi:10.1177/0267323100015004003.
Wildman, S. S. (1995). Trade liberalization and policy for media industries: A theoretical examination of media flows. Canadian Journal of Communication, 20(3), 367–388.
Wildman, S. S., & Siwek, S. E. (1988). International trade in films and television programs. Cambridge, MA: Ballinger.
Wyatt, J. (1994). High concept: Movies and marketing in Hollywood. Austin, Texas: University of Texas Press.
Yoo, B., & Donthu, N. (1998). Validating Hofstede’s five-dimensional measure of culture at the individual level. American Marketing Association Conference Proceeding, 83.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, F.L.F. Cultural discount of cinematic achievement: the academy awards and U.S. movies’ East Asian box office. J Cult Econ 33, 239–263 (2009). https://doi.org/10.1007/s10824-009-9101-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10824-009-9101-7