| Literature DB >> 35185709 |
Fan Yu1, Ying Zhao2, Jianfeng Yao1, Massimiliano Farina Briamonte3, Sofia Profita4, Yuhan Liu5.
Abstract
Cognitive neuroscience research has found that individuals from different cultures have different neural responses and emotional perceptions. Differences in executives' perception of external pay gaps in different cultures can affect their work attitudes and behavior. In this study, we explore the direct relationship between executive compensation fairness and executive innovation motivation. We also investigate the moderating effects of Confucian culture and western culture between executive compensation fairness and executive innovation motivation. Data were collected from the Chinese listed firms from 2011 to 2019 and test the relationship using the fixed-effect panel regression models. The results demonstrate that executive compensation fairness positively influences the executive innovation motivation. This effect is more pronounced in Confucian culture regions, while Western culture weakens this effect. The findings of this study confirmed that executive compensation fairness, provide a cross-cultural comparison for compensation research, validate the findings of cultural neuroscience, and provide useful insights into the research of common prosperity. To improve the corporate compensation structure, it is necessary to consider the relative pay equity with firms in the same region and the influence of corporate culture.Entities:
Keywords: Confucian culture; Western culture; cognitive differences; cognitive neuroscience; cultural differences; innovation motivation; perceived compensation fairness
Year: 2022 PMID: 35185709 PMCID: PMC8847769 DOI: 10.3389/fpsyg.2021.815641
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual model.
Descriptive statistical results.
| Variables |
| Mean | SD | Median | Min | Max |
| RDSpd | 14,296 | 4.47 | 4.24 | 3.56 | 0.02 | 25.37 |
| Cf | 14,296 | 0.06 | 1.17 | 0.08 | –7.43 | 2.46 |
| Size | 14,296 | 22.02 | 1.21 | 21.84 | 19.92 | 25.72 |
| Lev | 14,296 | 0.39 | 0.19 | 0.37 | 0.05 | 0.87 |
| ROE | 14,296 | 0.09 | 0.07 | 0.08 | –0.64 | 0.33 |
| Growth | 14,296 | 0.19 | 0.37 | 0.12 | –0.48 | 2.29 |
| Shr1 | 14,296 | 34.56 | 14.14 | 32.97 | 9.00 | 71.77 |
| Dual | 14,296 | 0.29 | 0.46 | 0.00 | 0.00 | 1.00 |
| InDir | 14,296 | 0.37 | 0.05 | 0.33 | 0.33 | 0.57 |
| Dir | 14,296 | 2.12 | 0.19 | 2.20 | 1.61 | 2.64 |
Regression results.
| Variables | (1) | (2) | (3) | |
|
| ||||
| RDSpd | RDSpd | RDSpd | ||
| Cf | −0.090 | −0.274 | −0.042 | |
| (−2.37) | (−3.51) | (−0.80) | ||
| Size | 0.070 | 0.049 | 0.090 | |
| (0.61) | (0.39) | (0.47) | ||
| Lev | −2.677 | −2.581 | −1.772 | |
| (−7.43) | (−5.85) | (−2.99) | ||
| ROE | −2.038 | −2.959 | −0.400 | |
| (−2.85) | (−2.77) | (−0.49) | ||
| Growth | −0.555 | −0.584 | −0.492 | |
| (−9.63) | (−8.71) | (−4.21) | ||
| Shr1 | −0.004 | −0.008 | −0.005 | |
| (−0.71) | (−1.33) | (−0.51) | ||
| Dual | 0.072 | 0.077 | 0.090 | |
| (0.86) | (0.79) | (0.68) | ||
| InDir | −1.224 | −1.232 | −1.176 | |
| (−1.33) | (−1.03) | (−0.96) | ||
| Dir | 0.417 | 0.479 | 0.431 | |
| (1.21) | (1.10) | (1.00) | ||
| _cons | 2.696 | 3.717 | 1.620 | |
| (1.10) | (1.27) | (0.39) | ||
| Control year/industry | Yes | Yes | Yes | |
|
| 14,296 | 8,258 | 6,038 | |
| Adj | 0.072 | 0.083 | 0.075 | |
t statistics in parentheses, *p < 0.1; **p < 0.05; ***p < 0.01.
Regression results based on the regression of Confucian cultural influence group.
| Variables | (1) | (2) | (3) | (4) | (5) | (6) |
|
| ||||||
| Entire sample | Negative sample | |||||
| Low Confucian influence regions | Medium Confucian influence regions | High Confucian influence regions | Low Confucian influence regions | Medium Confucian influence regions | High Confucian influence regions | |
|
| ||||||
| RDSpd | RDSpd | RDSpd | RDSpd | RDSpd | RDSpd | |
| Cf | −0.082 | −0.081 | −0.127 | −0.203 | −0.352 | −0.390 |
| (−1.64) | (−1.63) | (−1.83) | (−1.77) | (−2.83) | (−3.42) | |
| Size | 0.317 | 0.188 | −0.200 | 0.126 | −0.187 | 0.077 |
| (1.96) | (0.67) | (−1.04) | (0.71) | (−0.64) | (0.33) | |
| Lev | −2.651 | −2.041 | −3.146 | −2.878 | −1.497 | −3.090 |
| (−4.26) | (−2.67) | (−5.41) | (−3.57) | (−1.97) | (−4.86) | |
| ROE | −1.728 | −1.464 | −1.114 | −2.422 | −1.741 | −1.821 |
| (−2.60) | (−1.42) | (−1.17) | (−2.87) | (−1.66) | (−1.62) | |
| Growth | −0.570 | −0.642 | −0.544 | −0.712 | −0.540 | −0.557 |
| (−7.05) | (−5.32) | (−5.11) | (−6.71) | (−4.24) | (−4.23) | |
| Shr1 | −0.018 | 0.012 | 0.009 | −0.015 | −0.013 | 0.002 |
| (−2.02) | (0.86) | (0.93) | (−1.68) | (−0.76) | (0.15) | |
| Dual | 0.023 | −0.160 | 0.235 | −0.003 | 0.084 | 0.216 |
| (0.20) | (−0.75) | (1.93) | (−0.02) | (0.39) | (1.37) | |
| InDir | 0.096 | −3.921 | −1.439 | −0.333 | −5.308 | 0.129 |
| (0.06) | (−2.09) | (−1.12) | (−0.15) | (−2.65) | (0.08) | |
| Dir | 0.784 | −0.925 | 0.559 | 0.425 | −0.995 | 1.270 |
| (1.19) | (−1.40) | (1.47) | (0.48) | (−1.53) | (2.46) | |
| _cons | −3.181 | 3.862 | 7.610 | 2.940 | 12.157 | 0.567 |
| (−0.89) | (0.72) | (1.83) | (0.74) | (1.76) | (0.11) | |
| Control variables | Yes | Yes | Yes | Yes | Yes | Yes |
| Control year/industry | Yes | Yes | Yes | Yes | Yes | Yes |
|
| 5983 | 2863 | 5093 | 3648 | 1606 | 2775 |
| Adj | 0.072 | 0.074 | 0.081 | 0.082 | 0.113 | 0.084 |
t statistics in parentheses, *p < 0.1, **p < 0.05, ***p < 0.01.
Regression results based on the regression of Chairman and CEO overseas experience group.
| Variables | (1) | (2) | (3) | (4) |
|
| ||||
| Entire sample | Negative sample | |||
| Chairman or CEO with overseas experience | Chairman or CEO without overseas experience | Chairman or CEO with overseas experience | Chairman or CEO without overseas experience | |
|
| ||||
| RDSpd | RDSpd | RDSpd | RDSpd | |
| Cf | −0.008 | −0.093 | −0.127 | −0.203 |
| (−0.05) | (−2.44) | (−1.83) | (−1.77) | |
| Size | −0.428 | 0.063 | −0.200 | 0.126 |
| (−0.70) | (0.56) | (−1.04) | (0.71) | |
| Lev | −2.460 | −2.637 | −3.146 | −2.878 |
| (−1.30) | (−7.46) | (−5.41) | (−3.57) | |
| ROE | −2.175 | −2.137 | −1.114 | −2.422 |
| (−1.35) | (−2.77) | (−1.17) | (−2.87) | |
| Growth | −0.449 | −0.551 | −0.544 | −0.712 |
| (−2.58) | (−8.92) | (−5.11) | (−6.71) | |
| Shr1 | −0.001 | −0.007 | 0.009 | −0.015 |
| (−0.06) | (−1.22) | (0.93) | (−1.68) | |
| Dual | 0.132 | 0.077 | 0.235 | −0.003 |
| (0.52) | (0.88) | (1.93) | (−0.02) | |
| InDir | 2.585 | −1.360 | −1.439 | −0.333 |
| (0.67) | (−1.44) | (−1.12) | (−0.15) | |
| Dir | 2.236 | 0.201 | 0.559 | 0.425 |
| (2.11) | (0.57) | (1.47) | (0.48) | |
| _cons | 7.237 | 3.447 | 7.610 | 2.940 |
| (0.56) | (1.42) | (1.83) | (0.74) | |
| Control variables | Yes | Yes | Yes | Yes |
| Control year/industry | Yes | Yes | Yes | Yes |
|
| 1,167 | 13,059 | 5,093 | 3,648 |
| Adj | 0.074 | 0.073 | 0.081 | 0.082 |
t statistics in parentheses, *p < 0.1, **p < 0.05, ***p < 0.01.