Research on the Factors Influencing the Financing Efficiency of China's Tourism Listed Companies Based on Logit Model

Yaling Liu
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Abstract

This paper takes 24 tourism listed companies in China as the research object, based on the panel data from 2011 to 2019, uses the super SBM model to measure the financing efficiency, further uses the Logit model to analyze the nine influencing factors of financing efficiency, and draws the following conclusions: (1) The financing efficiency of tourism listed companies in China is slightly low as a whole, and the development trend is stable; The ratio of efficient tourism listed companies shows an inverted U-shaped curve, with the peak of only 50%. (2) The financing efficiency of different tourism sectors is quite different. The average financing efficiency and the ratio of Effective efficiency are: Catering > comprehensive > scenic spots > hotels. (3) Among the nine influencing factors measured, consumer price index(CPI), main business revenue growth rate(MIGR), asset liability ratio(DAR) and total asset turnover(TAT) have different degrees of significant impact on the financing efficiency of tourism listed companies. Among them, consumer price index(CPI) and asset liability ratio(DAR) play a negative role, while main business revenue growth rate(MIGR)and total asset turnover(TAT) play a positive role.
基于Logit模型的中国旅游上市公司融资效率影响因素研究
本文以中国24家旅游上市公司为研究对象,基于2011 - 2019年的面板数据,采用super SBM模型对融资效率进行测度,并进一步采用Logit模型对融资效率的9个影响因素进行分析,得出以下结论:(1)中国旅游上市公司融资效率整体略低,发展趋势稳定;旅游高效上市公司比例呈倒u型曲线,峰值仅为50%。(2)不同旅游部门的融资效率差异较大。平均融资效率和有效效率的比值为:餐饮>综合>景区>酒店。(3)在所测量的9个影响因素中,消费者价格指数(CPI)、主营业务收入增长率(MIGR)、资产负债率(DAR)和总资产周转率(TAT)对旅游上市公司融资效率有不同程度的显著影响。其中,消费者物价指数(CPI)和资产负债率(DAR)起到负向作用,主营业务收入增长率(MIGR)和总资产周转率(TAT)起到正向作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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