ACER INCORPORATED Gender Pay Analysis | |||
Table 1. Gender Pay Gaps in 2022 | |||
Indicator | Difference between men and | ||
women employees (%) | |||
Mean gender pay gap | 15.28% | ||
Median gender pay gap | 12.82% | ||
Mean bonus gap | 34.35% | ||
Median bonus gap | 21.74% | ||
Table 2. Using Ratio of Male / Female Salary for Gender Pay Assessment
Acer places special emphasis on gender pay gap. Therefore, from 2020 to 2022, a gender pay gap analysis was conducted for each management level for three consecutive years.
Item | Level | Year | ||||||||
2022 | 2021 | 2020 | ||||||||
M | F | M | F | M | F | |||||
Monthly Salary | Executive Level (Grade 50 & Above) | 1.00 | 1.00 | 1.00 | 1.21 | 1.00 | 1.18 | |||
Division Level | (Grade 40~50) | 1.00 | 1.02 | 1.00 | 1.07 | 1.00 | 0.97 | |
Department Level (Grade 20~40) | 1.00 | 0.94 | 1.00 | 0.94 | 1.00 | 0.94 | ||
Non-Managerial Level (Grade 10) | 1.00 | 0.87 | 1.00 | 0.89 | 1.00 | 0.89 | ||
Executive Level (Grade 50 & Above) | 1.00 | 1.05 | 1.00 | 1.35 | 1.00 | 1.24 | ||
Annual Salary | Division Level | (Grade 40~50) | 1.00 | 1.03 | 1.00 | 1.09 | 1.00 | 1.01 |
Department Level (Grade 20~40) | 1.00 | 0.93 | 1.00 | 0.95 | 1.00 | 0.94 | ||
Non-Managerial Level (10) | 1.00 | 0.85 | 1.00 | 0.91 | 1.00 | 0.90 | ||
Table 3 Using Multiple R and Regression Analysis for gender pay assessment
We conduct gender pay gap analysis by using Correlation Coefficient (multiple R) and regression analysis to determine if gender is the factor to measure Acer's compensation.
1. Correlation Coefficient (R) Analysis 2020~2022
We use R to identify the degree of relationship between the two variables
- Gender affects Monthly Salary
- Grade affects Monthly Salary
- Seniority (years of work experience) affects Monthly Salary
- Education affects Monthly Salary
Findings of Correlation Coefficient (R) Analysis
- The correlation coefficient (R score) between Grade (independent variable) and Monthly Salary (dependent variable) reaches as high as 0.84, while the correlation between Gender (independent variable) and Monthly Salary Grade (dependent variable) is as low as 0.19.
- This suggests that Grade is the most significant factor affecting monthly salary, while Gender is one of the least influential factors affecting monthly salary.
2. Regression Analysis 2022
In regression analysis, we utilize the P-value to determine whether there exists a statistically significant relationship between the predictor variables (Gender, Grade, Seniority, and Education) and the response variable (monthly salary).
Findings of Regression:
The p-value measures the probability there is no relationship between variables. So, the lower P-value, the higher the factor statistically significant. In the regression analysis, we found that Grade is the lowest P-value while Gender is the highest one- meaning Gender is not the factor that affect monthly salary at all.
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Acer Inc. published this content on 10 July 2023 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 10 July 2023 02:27:08 UTC.
