Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (11): 25-36.doi: 10.16381/j.cnki.issn1003-207x.2022.0188
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Haohua Li, Xindan Li, Binqing Xiao(
)
Received:2022-01-27
Revised:2022-04-27
Online:2024-11-25
Published:2024-12-09
Contact:
Binqing Xiao
CLC Number:
Haohua Li,Xindan Li,Binqing Xiao. The Embankment of a Thousand Miles Collapses in the Ant's Nest:An Experimental Study on the Formation Mechanism of Internal Fraud Risk in the Banking Industry[J]. Chinese Journal of Management Science, 2024, 32(11): 25-36.
"
| 分组 | 统计量 | 道德发展阶段 MD | 岗位 | 性别 | 年龄 | 学历 | 职业技术资格 | 道德强度 |
|---|---|---|---|---|---|---|---|---|
| SIT | SEX | AGE | EDU | TEC | MI | |||
| 全样本 N=244 | Mean | 41.69 | 1.35 | 0.49 | 37.39 | 1.78 | 0.41 | 6.18 |
| Std.Dev. | 14.43 | 0.63 | 0.50 | 9.96 | 0.46 | 0.49 | 1.15 | |
| Min | 13.33 | 1.00 | 0.00 | 0.00 | 1.00 | 0.00 | 3.00 | |
| Max | 53.33 | 3.00 | 1.00 | 59.00 | 3.00 | 1.00 | 7.00 | |
| 情境一 N=83 | Mean | 42.33 | 1.36 | 0.49 | 35.99 | 1.86 | 0.33 | 5.90 |
| Std.Dev. | 14.92 | 0.69 | 0.50 | 9.17 | 0.45 | 0.47 | 1.28 | |
| Min | 13.33 | 1.00 | 0.00 | 23.00 | 1.00 | 0.00 | 3.00 | |
| Max | 53.33 | 3.00 | 1.00 | 55.00 | 3.00 | 1.00 | 7.00 | |
| 情境二 N=80 | Mean | 42.18 | 1.33 | 0.55 | 37.99 | 1.74 | 0.49 | 6.25 |
| Std.Dev. | 13.09 | 0.59 | 0.50 | 9.79 | 0.47 | 0.50 | 1.11 | |
| Min | 13.33 | 1.00 | 0.00 | 23.00 | 2.00 | 0.00 | 3.50 | |
| Max | 53.33 | 2.00 | 1.00 | 59.00 | 2.00 | 1.00 | 7.00 | |
| 情境三 N=81 | Mean | 40.57 | 1.37 | 0.43 | 38.25 | 1.74 | 0.42 | 6.40 |
| Std.Dev. | 15.27 | 0.62 | 0.50 | 10.83 | 0.47 | 0.50 | 0.99 | |
| Min | 13.33 | 1.00 | 0.00 | 0.00 | 1.00 | 0.00 | 4.00 | |
| Max | 53.33 | 3.00 | 1.00 | 58.00 | 3.00 | 1.00 | 7.00 | |
| 分布特征检验P值 | 0.425 | 0.837 | 0.328 | 0.166 | 0.191 | 0.107 | 0.024** | |
| 均值检验P值 | 0.709 | 0.882 | 0.330 | 0.262 | 0.170 | 0.105 | 0.022** | |
"
| 变量 | 被解释变量:IFB Index | |||
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| MI | -1.591*** | -1.575*** | -1.687*** | -4.710* |
| (-8.38) | (-5.73) | (-5.38) | (-1.72) | |
| AFB | 1.873** | 1.570* | 1.579* | |
| (2.08) | (1.65) | (1.69) | ||
| PBC | -0.038 | 0.032 | -0.005 | |
| (-0.22) | (0.16) | (-0.03) | ||
| MO | -0.260 | -0.236 | -0.207 | |
| (-1.50) | (-1.27) | (-1.07) | ||
| DC | -5.096*** | -6.037*** | -5.993*** | |
| (-4.60) | (-4.54) | (-4.44) | ||
| CFB | 0.279* | 0.313 | 0.302 | |
| (1.68) | (1.61) | (1.53) | ||
| MD | -0.036** | -0.091 | ||
| (-2.13) | (-0.87) | |||
| SIT | -0.106 | -0.087 | ||
| (-0.24) | (-0.19) | |||
| SEX | -0.943** | -3.779 | ||
| (-1.97) | (-1.27) | |||
| AGE | -0.055 | -0.293 | ||
| (-1.59) | (-1.42) | |||
| EDU | -2.145*** | -5.493 | ||
| (-2.66) | (-1.22) | |||
| TEC | -0.286 | -0.271 | ||
| (-0.54) | (-0.48) | |||
| MD×MI | 0.009 | |||
| (0.50) | ||||
| SEX×MI | 0.456 | |||
| (0.95) | ||||
| AGE×MI | 0.038 | |||
| (1.16) | ||||
| EDU×MI | 0.554 | |||
| (0.76) | ||||
| 截距项 | 是 | 是 | 是 | 是 |
| 观测数 | 244 | 244 | 244 | 244 |
| 似然比检验 | (1)=119.52 p=0.000 | (6)=161.05 p=0.000 | (12)=178.44 p=0.000 | (16)=180.58 p=0.000 |
| PseudoR2 | 0.387 | 0.522 | 0.578 | 0.585 |
"
| 变量 | 被解释变量:IFB Index | |
|---|---|---|
| 子样本1: 情境一和情境二 | 子样本2: 情境一和情境三 | |
| AFB | 2.760* | 3.192** |
| (1.76) | (2.22) | |
| PBC | 0.154 | 0.235 |
| (0.51) | (0.78) | |
| MO | -1.399*** | -1.444*** |
| (-3.82) | (-3.91) | |
| DC | -0.762 | 0.056 |
| (-0.30) | (0.02) | |
| CFB | -0.195 | -0.215 |
| (-0.43) | (-0.46) | |
| CASE2×AFB | -1.724 | |
| (-0.73) | ||
| CASE2×PBC | 0.416 | |
| (1.01) | ||
| CASE2×MO | 0.522 | |
| (1.16) | ||
| CASE2×DC | -6.505* | |
| (-1.84) | ||
| CASE2×CFB | 0.676 | |
| (1.22) | ||
| CASE2 | 1.874 | |
| (0.40) | ||
| CASE3×AFB | -0.438 | |
| (-0.21) | ||
| CASE3×PBC | 1.315** | |
| (2.21) | ||
| CASE3×MO | 1.774*** | |
| (3.30) | ||
| CASE3×DC | -9.494** | |
| (-2.17) | ||
| CASE3×CFB | 1.493** | |
| (2.17) | ||
| CASE3 | -8.355 | |
| (-1.51) | ||
| 控制变量 | 是 | 是 |
| 截距项 | 是 | 是 |
| 观测数 | 163 | 164 |
| 似然比检验 | (17)=116.061 p=0.000 | (17)=129.44 p=0.000 |
| PseudoR2 | 0.561 | 0.619 |
"
| 变量 | 被解释变量:IFB Index | ||||
|---|---|---|---|---|---|
| 情境一 | 情境二 | 情境三 | Difference 1 vs 2 | Difference 1 vs 3 | |
| AFB | 4.006** | 1.566 | 2.546 | -2.441 | -1.461 |
| (2.08) | (0.87) | (1.61) | |||
| PBC | 0.334 | 0.515 | 1.657*** | 0.181 | 1.323** |
| (0.90) | (1.57) | (2.76) | |||
| MO | -1.785*** | -0.928*** | 0.336 | 0.857 | 2.122** |
| (-3.40) | (-3.20) | (0.88) | |||
| DC | -0.195 | -7.284*** | -10.516** | -7.088* | -10.320** |
| (-0.06) | (-2.87) | (-2.54) | |||
| CFB | -0.392 | 0.617 | 1.440*** | 1.009* | 1.832** |
| (-0.66) | (1.59) | (2.72) | |||
| 控制变量 | 是 | 是 | 是 | ||
| 截距项 | 是 | 是 | 是 | ||
| 观测数 | 83 | 80 | 81 | ||
| 似然比检验 | (11)=74.76 p=0.000 | (11)=48.39 p=0.000 | (11)=62.01 p=0.000 | ||
| PseudoR2 | 0.696 | 0.487 | 0.610 | ||
"
| 变量 | Logit回归 | OLS回归 | |
|---|---|---|---|
| FB_Yes | FB_High | FB | |
| IFB Index | 0.746** | 0.900*** | 0.579*** |
| (2.29) | (2.98) | (3.03) | |
| CFB | 0.780*** | 0.787*** | 0.530*** |
| (3.44) | (3.01) | (4.39) | |
| ∆ Asset | 0.226 | 0.402 | 0.111 |
| (0.38) | (0.85) | (0.36) | |
| ∆ EVA | -0.038 | 0.053 | -0.021 |
| (-0.29) | (0.49) | (-0.29) | |
| ∆ GDP | -1.263 | -12.895 | -7.711 |
| (-0.06) | (-0.72) | (-0.68) | |
| ∆ Consume | 0.332 | -0.166 | 0.147 |
| (1.36) | (-0.72) | (0.97) | |
| 控制变量 | 是 | 是 | 是 |
| 截距项 | 是 | 是 | 是 |
| 观测数 | 244 | 244 | 244 |
| 似然比检验 | (11)=31.56 p=0.001 | (11)=28.55 p=0.003 | =3.62 p=0.000 |
| Pseudo/Adj. R2 | 0.113 | 0.085 | 0.106 |
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