Research on the Influencing Factors of Film Box Office Based on Ordinary Least Square and Threshold Quantile Autoregressive Model

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI:10.1109/IUCC/DSCI/SmartCNS.2019.00065

Jingdong Liu, Won-Ho Choi, Fei Hao

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Abstract

With the continuous development of China's social economy, people's living standards continue to improve, the people's investment in leisure and entertainment continues to increase, among which film has become one of the people's first choice for leisure and entertainment. In recent years, the domestic film market has been expanding, at the same time, western films represented by Hollywood have also produced a fierce impact on domestic films. How to improve the local film quality, improve the local film box office level has become a hot issue. In this paper, 152 domestic films in 2018 are selected as research objects, and Ordinary Least Square and TQAR models are adopted to analyze the factors affecting the box office of films, so as to provide effective references for effectively reducing the cost of film investment and improving the market value of domestic films.

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基于普通最小二乘法和阈值分位数自回归模型的电影票房影响因素研究

随着中国社会经济的不断发展，人民生活水平的不断提高，人们对休闲娱乐的投入不断加大，其中电影已经成为人们休闲娱乐的首选之一。近年来，国内电影市场不断扩大，与此同时，以好莱坞为代表的西方电影也对国产电影产生了激烈的冲击。如何提高本土电影质量，提高本土电影票房水平已成为一个热点问题。本文选取2018年的152部国产电影作为研究对象，采用普通最小二乘法和TQAR模型对电影票房的影响因素进行分析，为有效降低电影投资成本，提升国产电影市场价值提供有效参考。

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2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)

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