Research On The Evaluation Of Film Copyright Value Based On Income Method

At present,in the context of an era that calls for cultural self-confidence across the country,China’s cultural industry is developing rapidly.As an important part of the cultural industry,the performance of film industry in recent years is also remarkable.With the gradual maturity of China’s film market,the film copyright trading market will become more active.However,the evaluation practice of film copyright is not valued in the evaluation industry,and the assessment methods and concepts need to be further explored.Based on the theme of film copyright appraisal,the dissertation combines the multiple linear regression model,truncated regression model,RFR algorithm and the royalty saving method,and conduct an in-depth analysis of the copyright evaluation of domestic films.The content of the dissertation is divided into six parts: The first part is an introduction,which introduces the development of China’s film industry and the current situation of film copyright evaluation.Besides,on the basis of literature review of the influencing factors of movie box office,prediction model of box office and evaluation of movie copyright value,this dissertation expounds the writing ideas and methods.The second part is the presentation of related concepts and theoretical foundations.It not only explains the basic concepts and value composition of film copyright,but analyzes the applicability of basic evaluation methods in the film copyright evaluation field.Ultimately,the writer selects the income approach for the research of film copyright assessment.The third part discusses the application of the royalty saving method in the film copyright value evaluation.Based on this,the detailed analysis of specific parameter values in the royalty saving method is conducted.The fourth part is the selection of the predictive model of movie box office.After analyzing the influencing factors of movie box office,the multiple regression model,truncated regression model and RFR algorithm are selected to forecast the box office at two time points before and one week after the release of the film.And 10 movies released in 2019 are used as test samples.On this basis,a model with better prediction results is selected.The fifth part is the case analysis of "The King of New Comedy".In this chapter,the box office is predicted by using the truncated regression model before release and the RFR model one week after release.Combined with the royalty saving method,the value of screening right and network information dissemination right were evaluated.The last part summarizes the whole thesis,and puts forward suggestions for improvement.The empirical results show that the using truncated regression model to forecast box office before release is better,and using the RFR model to predict box office after one week release is more appropriate.The use of the two models makes the parameters more accurate,which shows that the linear prediction method is relatively poor in the field of box office forecast.The case analysis presents the appraisal procedure of the value of screening right and network information dissemination right of "The King of New Comedy".It is expected to provide a reference for the evaluation of film copyright value involved in the investment and financing before film release and the film copyright trading on the video website after film is released,and to promote China’s evaluation industry to expand its business in the field of film copyright evaluation.