Academic Journal of Business & Management, 2022, 4(9); doi: 10.25236/AJBM.2022.040920.
Yanling Xie1, Duo Hao2
1School of Finance and Economics, Tibet University, Lhasa, Tibet Autonomous Region, China, 850000
2Business School, Xi 'an International Studies University, Xi'an, Shaanxi, China
Under the strong support of various national policies, the animation industry has developed rapidly. In order to enable the emerging animation industry to maintain a high-speed growth for a long time, we should pay more attention to the analysis of the relevant financial performance of such enterprises. This paper focuses on the animation industry, and establishes an indicator system from the five dimensions of profitability, solvency, operational ability, development ability, and non-financial indicators. The entropy method is used to objectively estimate the weight of the index to obtain the final score of the enterprise. Then, the K-means clustering method is further combined to classify the score of enterprise according to categories, and the quantitative performance analysis of the animation industry is carried out, which provides a reference for subsequent financial performance analysis. Finally, some suggestions are put forward for the development of the animation industry from the three aspects: enterprise management, cultural and technological innovation, and government support policies.
Animation industry; financial performance analysis; entropy method; K-means clustering method
Yanling Xie, Duo Hao. An empirical study on the financial performance of animation industry based on entropy value method and K-means clustering method. Academic Journal of Business & Management (2022) Vol. 4, Issue 9: 138-143. https://doi.org/10.25236/AJBM.2022.040920.
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