한국영화 스타파워 분석 -2003-2007 배우와 감독- = The Star Power of Korean Movie Industry 2003～2007

다국어 초록 (Multilingual Abstract)

This Study investigates the Star power of Korean Movies. The sample consists of 421 films released during 2003-2007. During the period, 204 directors made only one film each. 63 directors made 147 movies. 43 actors and actress played main roles for 263 movies. Median numbers of audience are 424,514, average numbers of audience are 986,757.44, and the mode is 424,514.
The regression results indicate the Power of Stars in the Korean film Industry between 2003 and 2007. Seventeen individual actors, two actresses and three directors have the star power. However, unlike the previous research in 1998, the Star power is not stronger than prior research. While prior study shows that star brings 30,000 people more than movies without star in Theater. In this study, the movie with Star gets 240.54 audiences than movie without Star. The Key Factor of this difference comes from the Treatment of the dependent variable.
Korean Movies Revenue distribution is similar to the distribution of American movie industry. In this distribution, the probability of an extreme outcomes is much higher and has heavier tailed and Higher skewed than normal distribution.

다국어 초록 (Multilingual Abstract)

This Study investigates the Star power of Korean Movies. The sample consists of 421 films released during 2003-2007. During the period, 204 directors made only one film each. 63 directors made 147 movies. 43 actors and actress played main roles for 263 movies. Median numbers of audience are 424,514, average numbers of audience are 986,757.44, and the mode is 424,514.
The regression results indicate the Power of Stars in the Korean film Industry between 2003 and 2007. Seventeen individual actors, two actresses and three directors have the star power. However, unlike the previous research in 1998, the Star power is not stronger than prior research. While prior study shows that star brings 30,000 people more than movies without star in Theater. In this study, the movie with Star gets 240.54 audiences than movie without Star. The Key Factor of this difference comes from the Treatment of the dependent variable.
Korean Movies Revenue distribution is similar to the distribution of American movie industry. In this distribution, the probability of an extreme outcomes is much higher and has heavier tailed and Higher skewed than normal distribution.

참고문헌 (Reference)

1 김주수, "한국영화의 흥행성과 결정요인에 관한 통합적 연구(1996-2003년 한국영화산업을 대상으로)" 중앙대학교 2004

2 유현석, "한국영화의 흥행 요인에 관한 연구제작 관련 변수를 중심으로" 한국언론학회 46 (46): 6-213, 2002

3 안성아, "한국영화에서 스타의 신호 역할과 재무적 가치" 한국영화학회 (34) : 69-92, 2007

4 김휴종, "한국영화스타의 스타파워 분석" 1 (1): 1998

5 김은미, "한국 영화의 흥행 결정 요인에 관한 연구" 한국언론학회 47 (47): 8-220, 2003

6 김대승, "영화흥행 결정요인에 대한 통합적 연구: 정보 가능 시기별 경로 분석을 기반으로" 한국과학기술원 2006

7 안성아, "영화 개봉점유율과 관객감소율의 영향 요인 분석" 한국마케팅학회 18 (18): 1-17, 2003

8 이경재, "베이지안 선택모형을 이용한 영화흥행 예측" 2006

9 Liu, Yong, "Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue" 70 : 2006

10 Nelson, Randy A, "What’s an Oscar Worth?" 39 (39): 1-16, 2001

11 De Vany, A. S, "Uncertainty in The Movie Industry: Does Star Power Reduce the Terror of the Box Office?" 23 (23): 285-318, 1999

12 Ghosh, Arindam, "The Size Distribution of International Box office Revenues and the Stable Paretian Hypothesis" 2000

13 Wallace, W. Timothy, "The Role of Actors and Actresses in the Success of Films: How Much is a Movie Star Worth?" 17 (17): 1-27, 1993

14 Terry, Neil, "The Determinants of Domestic Box Office Performance in the Motion Picture Industry" 32 (32): 137-148, 2005

15 Smith, Sharon P, "Successful Movies: A Preliminary Empirical Analysis" 18 : 501-507, 1986

16 Einav, Liran, "Seasonality and Competition in Time: An Empirical Analysis of Release Date Decisions in the U.S. Motion Picture Industry" Harvard University 2002

17 Radas, Sonja, "Seasonal Marketing and Timing New Product Introductions" 35 (35): 296-315, 1998

18 강주희, "SPSS 프로그램을 활용한 따라하는 통계분석" 크라운출판사 2007

19 Walls, W. D, "Robust Analysis of Film Earnings" 2008

20 Sochay, Scott, "Predicting the Performance of Motion Pictures" 7 (7): 1-20, 1994

21 Simonoff, Jeffrey, "Predicting Movie Grosses: Winners and Losers, Blockbusters and Sleepers" 13 (13): 15-24, 2000

22 Litman, B. R, "Predicting Financial Success of Motion Pictures: The ’80s Experience" 2 : 35-50, 1989

23 Litman, Barry R, "Predicting Financial Success of Motion Pictures: The early 90's Experience. in:The Motion Picture Mega Industry" Allyn and Bacon 1998

24 Ramesh Sharda, "Predicting Box-office Success of Motion Pictures with Neural Networks" 30 : 243-254, 2006

25 Walls, W. D, "Modeling Movie Success When `Nobody Knows Anything': Conditional Stable-Distribution Analysis of Film Returns" 29 (29): 2005

26 Andrew Ainslie, "Modeling Movie Life Cycles and Market Share" 24 (24): 2005

27 Basuroy, Suman, "Managerial Objectives, the R-rating Puzzle, and the Production of Violent Films" 77 (77): 2004

28 Desai, Kalpesh Kaushi, "Interactive Influence of Genre Familiarity, Star Power, and Critic's Reviews in the Cultural Goods Industry: The Case of Motion Pictures" 22 (22): 2005

29 Ravid, S. Abraham, "Information, Blockbusters and Stars: A Study of the film industry" 72 (72): 1999

30 Basuroy, Suman, "How Critical Are Critical Reviews? The Box Office Effects of Film Critics, Star Power and Budgets" 67 : 2003

31 De Vany, Arthur (ed), "Hollywood Economics: How Extreme Uncertainty Shapes The Film Industry" Routledge 2004

32 Eliashberg, Jehoshua, "Film Critics: Influencers or Predictors?" 61 : 68-78, 1997

33 Dellarocas, Chrysanthos, "Exploring The Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures" 21 : 2007

34 Chang, Byeng-Hee, "Devising a Practical Model for Predicting Theatrical Movie Sucess: Focusing on the Experience Good Property" 18 (18): 2005

35 Henning-Thurau, Thorsten, "Determinants of Motion Picture Box office and Profitability: An Interrelationship Approach" 2006

36 Elberse, Anita, "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures" 22 (22): 329-354, 2003

37 De Silva, I, "Consumer Selection of Motion Pictures. in: The Motion Picture Mega Industry" Allyn and Bacon 1998

38 Sedgwick, John, "An Ecconomic History of Film" Routledge 2005

39 Sawhney, Mohanbir S, "A Parsimonious Model for Forecasting Gross Box Office Revenues of Motion Pictures" 15 (15): 113-131, 1996