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The linear regression method of the influencing factors of cultural industry based on the classification of structural data sources

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Abstract

This paper takes cultural industry listed companies in China as the research object and selects 127 listed companies as samples. It uses their financial data from the year of 2009 to 2016 and uses factor analysis and linear regression to establish a multiple linear regression model to make an empirical study on the capital structure of listed companies in cultural industry. The results show that the capital structure of listed companies in cultural industry has significant positive correlation with profitability, growth ability, company size, nature of property rights and cash flow, and that the capital structure of listed companies in cultural industry is negatively correlated with dividend policy and irrelevant to asset structure.

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Authors and Affiliations

  1. Northeastern University School of Business Administration, Shenyang, China

    Cao Honggang, Chen Kai & Zhong Xu

  2. Northeastern University at Qinhuangdao, Qinhuangdao, China

    Cao Honggang, Chen Kai & Zhong Xu

Authors
  1. Cao Honggang
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  2. Chen Kai
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  3. Zhong Xu
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Correspondence to Cao Honggang.

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Honggang, C., Kai, C. & Xu, Z. The linear regression method of the influencing factors of cultural industry based on the classification of structural data sources. Cluster Comput 22 (Suppl 3), 6123–6132 (2019). https://doi.org/10.1007/s10586-018-1852-5

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  • DOI: https://doi.org/10.1007/s10586-018-1852-5

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