Impact on the performance of tourism enterprises female executives

Abstract: In this study, the Chinese tourism enterprises as the research object, based literature on the corporate executive team, the choice of 27 furniture female executives travel listed companies sample for the study to explore women's share of the proportion of executives, female education levels impact on the performance of tourism enterprises and women ages.

Keywords: women executives; enterprise performance; tourism enterprises; corporate governance

Tourism enterprises female executives Firm Performance

In recent years, the study of the impact of female executives to corporate performance will be increasingly affected the attention of scholars at home and abroad. However, at home and abroad for this problem is widely used in the context of Western management, rarely used in the specific industry situations. Therefore, the research literature on the executive team of the tourism enterprises are relatively scarce. female executives on the performance of tourism enterprises and even fewer innovations of this study.

Second, the research hypothesis of this study the following assumptions: Suppose 1: Women in the executive team share between the proportion of corporate performance significantly affect assumptions: Female executives age performance of tourism enterprises significantly affect Hypothesis 3: women executives education level have a significant effect on the business performance

Third, the data and research methods this paper, the select 27 travel listed companies as a sample of this research.

(1) The dependent variable for the enterprise performance. Article uses the net profit margin as examine corporate performance indicators. (2) independent variables ① women's share of the proportion of executives: divided into high, medium and low three groups studied. ② women executives by level of education: divided into high and low two groups. ③ women executives average age: divided into high, medium and low three groups (3) control variables ① firm size (Size), the company in the previous year, total book assets of numerical the ② financial leverage (Lev), the total liabilities to total assets ratio ③ TMT Size (Numexe), including senior management, board members and members of the board of supervisors ④ enterprise age (Age), the company Since its founding in 2008 the length of time at the end of the year. 3. empirical research paper by SPSS analysis of variance. before female executives described the performance of tourism enterprises by analysis of variance, draw a significant probability P = 0.167> 0.05, meet the variance Analysis prerequisite. female share of the value of the executives proportion of F statistic is 1.027, and the corresponding significant probability p = 0.378> 0.05. female executives average education level of the F statistic value 1.788 corresponding significant probabilities p = 0.198> 0.05 F-statistic of the average age of female executives 0.431, significant probabilities p = 0.656> 0.05. specific analysis such as (Table 1, Table 2): (1) the female share of executives the proportion of the performance of tourism enterprises in Table 1, all significant probability greater than 0.05, the high, medium and low female share of the proportion of executives in terms of net profit rate has no effect. therefore reject the hypothesis 1.

(2) female executives average age on the performance of tourism enterprises in Table 2, because of the significant probability greater than 0.05, the average age of the different levels of female executives on the net profit margin had no significant effect, therefore, refuse to Assumption 2.

(3) The and female executives average education level of impact on the performance of tourism enterprises in Table 3, because of all the significant probability greater than 0.05, indicating different levels of female executives average level of education did not significantly affect the net profit margin. therefore reject the hypothesis 3.

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IV Conclusion

Through research, education level female executives share of the Company's senior management team, the proportion of women executives in the tourism listed companies, its net profit margin of female executives age there is no significant relationship between this conclusion is also indirectly The female share of the proportion of executives, female executives by level of education, female executives age of these indicators are not the determinants of the viability of tourism listed companies executives.

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