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Academic Journal of Business & Management, 2022, 4(2); doi: 10.25236/AJBM.2022.040217.

Research on Financial Performance Measure of Tourism Industry Based on Combined Weight and Cluster Analysis

Author(s)

Yihao Wang1, Jiaxin Wang2

Corresponding Author:
Jiaxin Wang
Affiliation(s)

1School of Economics and Management, Inner Mongolia University of Science and Technology, Baotou, China

2School of Accounting, Shandong University of Finance and Economics, Jinan, China

Abstract

As the society enters the post epidemic era, the financial performance level of the tourism industry, which occupies a pillar position in the national economy, needs to be measured effectively, and then targeted and applicable macro and micro policies can be formulated. Based on this, this paper selects the four quarter financial data of some listed tourism companies from 2020 to 2021, and constructs a performance measure index system composed of five financial capabilities. Then, based on the principle of information quantity and independence, this paper uses the combination weight method to measure all aspects of the ability of tourism enterprises. Then, using the coefficient of variation method and cluster analysis, this paper constructs a new financial performance measurement system of tourism industry. The empirical results show that it can effectively reflect the comprehensive financial performance level of each company. In addition, the influence of the five capabilities on the financial performance of enterprises from large to small is profitability, operating capacity, solvency, cash flow and growth capacity. Finally, in order to promote the development, transformation and upgrading of the tourism industry, this paper puts forward relevant suggestions on how to improve their own development level according to the performance evaluation results.

Keywords

Tourism; Financial Performance; Portfolio Weight; Cluster Analysis

Cite This Paper

Yihao Wang, Jiaxin Wang. Research on Financial Performance Measure of Tourism Industry Based on Combined Weight and Cluster Analysis. Academic Journal of Business & Management (2022) Vol. 4, Issue 2: 97-101. https://doi.org/10.25236/AJBM.2022.040217.

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