Finance & Economics of Xinjiang ›› 2023, Vol. 0 ›› Issue (2): 58-70.DOI: 10.16716/j.cnki.65-1030/f.2023.02.006
Previous Articles Next Articles
JIAN Xiushuai, SHAO Zhihao
Received:2022-11-07
Online:2023-05-22
Published:2023-04-25
菅秀帅, 邵志浩
通讯作者:
邵志浩(1986—),男,青岛大学经济学院副教授,研究方向为企业投融资、公司治理、资本市场管理。
作者简介:菅秀帅(1997—),男,青岛大学经济学院硕士研究生,研究方向为公司治理、资本市场管理。
基金资助:CLC Number:
JIAN Xiushuai, SHAO Zhihao. Independence of Non-CEO Executives and Stock Price Crash Risk[J]. Finance & Economics of Xinjiang, 2023, 0(2): 58-70.
菅秀帅, 邵志浩. 非CEO高管独立性与股价崩盘风险[J]. 新疆财经, 2023, 0(2): 58-70.
Add to citation manager EndNote|Ris|BibTeX
URL: https://bjb.xjufe.edu.cn/EN/10.16716/j.cnki.65-1030/f.2023.02.006
| 变量类型 | 变量名称 | 变量符号 | 变量定义 |
|---|---|---|---|
| 被解释变量 | 股价崩盘风险 | Ncskew | 第t+1年公司股票负收益偏态系数 |
| Duvol | 第t+1年公司股票收益上下波动比率 | ||
| 解释变量 | 非CEO高管独立性 | Intgov | 第t年中CEO任期之前上任、薪酬排名前四的非CEO高管人数与非CEO高管总人数的比值 |
| 控制变量 | 股票平均周收益率 | Ret | 第t年每周股票收益率的平均数 |
| 股票月均超额换手率 | Dturn | 第t年每月股票超额换手率的平均数 | |
| 股票周收益率的标准差 | Sigma | 第t年每周股票收益率的标准差 | |
| 股票负收益偏态系数 | LNcskew | 第t年公司股票负收益偏态系数 | |
| 管理层薪酬总额 | Scomp | 第t年公司管理层薪酬总额的自然对数 | |
| 第一大股东持股比例 | Top1 | 第t年公司第一大股东持股比例 | |
| 独立董事比例 | Indep | 第t年公司独立董事人数与董事会总人数的比值 | |
| 账市比 | MA | 第t年公司账面价值与市场价值的比值 | |
| 资产规模 | Size | 第t年公司期末总资产的自然对数 | |
| 资产负债率 | Lev | 第t年公司期末总负债与期末总资产的比值 | |
| 总资产利润率 | ROA | 第t年公司净利润与期末总资产的比值 | |
| 年度 | Year | 年度效应,若归属于某年度时取1,否则取0 | |
| 行业 | Industry | 行业效应,若归属于某行业时取1,否则取0 |
| 变量类型 | 变量名称 | 变量符号 | 变量定义 |
|---|---|---|---|
| 被解释变量 | 股价崩盘风险 | Ncskew | 第t+1年公司股票负收益偏态系数 |
| Duvol | 第t+1年公司股票收益上下波动比率 | ||
| 解释变量 | 非CEO高管独立性 | Intgov | 第t年中CEO任期之前上任、薪酬排名前四的非CEO高管人数与非CEO高管总人数的比值 |
| 控制变量 | 股票平均周收益率 | Ret | 第t年每周股票收益率的平均数 |
| 股票月均超额换手率 | Dturn | 第t年每月股票超额换手率的平均数 | |
| 股票周收益率的标准差 | Sigma | 第t年每周股票收益率的标准差 | |
| 股票负收益偏态系数 | LNcskew | 第t年公司股票负收益偏态系数 | |
| 管理层薪酬总额 | Scomp | 第t年公司管理层薪酬总额的自然对数 | |
| 第一大股东持股比例 | Top1 | 第t年公司第一大股东持股比例 | |
| 独立董事比例 | Indep | 第t年公司独立董事人数与董事会总人数的比值 | |
| 账市比 | MA | 第t年公司账面价值与市场价值的比值 | |
| 资产规模 | Size | 第t年公司期末总资产的自然对数 | |
| 资产负债率 | Lev | 第t年公司期末总负债与期末总资产的比值 | |
| 总资产利润率 | ROA | 第t年公司净利润与期末总资产的比值 | |
| 年度 | Year | 年度效应,若归属于某年度时取1,否则取0 | |
| 行业 | Industry | 行业效应,若归属于某行业时取1,否则取0 |
| 变量 | 样本量 | 均值 | 标准差 | 最小值 | 中位数 | 最大值 |
|---|---|---|---|---|---|---|
| Ncskew | 21536 | -0.4239 | 0.7136 | -2.5664 | -0.3698 | 1.6966 |
| Duvol | 21536 | -0.2921 | 0.4791 | -1.4525 | -0.3021 | 0.9756 |
| Intgov | 21536 | 0.3854 | 0.3640 | 0.0000 | 0.2500 | 1.0000 |
| Dturn | 21536 | -0.1352 | 0.6847 | -2.9867 | -0.0350 | 2.0212 |
| Ret | 21536 | 0.0035 | 0.0126 | -0.0197 | 0.0018 | 0.0421 |
| Sigma | 21536 | 0.0627 | 0.0261 | 0.0266 | 0.0599 | 0.1639 |
| LNcskew | 21536 | -0.4016 | 0.7192 | -2.5664 | -0.3586 | 1.6563 |
| Scomp | 21536 | 15.1261 | 0.7361 | 13.0134 | 15.1258 | 17.0122 |
| Top1 | 21536 | 0.3618 | 0.1491 | 0.0877 | 0.3234 | 0.7498 |
| Indep | 21536 | 0.3719 | 0.0512 | 0.3333 | 0.3333 | 0.5312 |
| MA | 21536 | 0.6221 | 0.2340 | 0.1138 | 0.6232 | 1.1423 |
| Size | 21536 | 22.1082 | 1.2523 | 19.3408 | 21.9394 | 25.9455 |
| Lev | 21536 | 0.4356 | 0.2058 | 0.0492 | 0.4299 | 0.9754 |
| ROA | 21536 | 0.0412 | 0.0559 | -0.2984 | 0.0532 | 0.2239 |
| 变量 | 样本量 | 均值 | 标准差 | 最小值 | 中位数 | 最大值 |
|---|---|---|---|---|---|---|
| Ncskew | 21536 | -0.4239 | 0.7136 | -2.5664 | -0.3698 | 1.6966 |
| Duvol | 21536 | -0.2921 | 0.4791 | -1.4525 | -0.3021 | 0.9756 |
| Intgov | 21536 | 0.3854 | 0.3640 | 0.0000 | 0.2500 | 1.0000 |
| Dturn | 21536 | -0.1352 | 0.6847 | -2.9867 | -0.0350 | 2.0212 |
| Ret | 21536 | 0.0035 | 0.0126 | -0.0197 | 0.0018 | 0.0421 |
| Sigma | 21536 | 0.0627 | 0.0261 | 0.0266 | 0.0599 | 0.1639 |
| LNcskew | 21536 | -0.4016 | 0.7192 | -2.5664 | -0.3586 | 1.6563 |
| Scomp | 21536 | 15.1261 | 0.7361 | 13.0134 | 15.1258 | 17.0122 |
| Top1 | 21536 | 0.3618 | 0.1491 | 0.0877 | 0.3234 | 0.7498 |
| Indep | 21536 | 0.3719 | 0.0512 | 0.3333 | 0.3333 | 0.5312 |
| MA | 21536 | 0.6221 | 0.2340 | 0.1138 | 0.6232 | 1.1423 |
| Size | 21536 | 22.1082 | 1.2523 | 19.3408 | 21.9394 | 25.9455 |
| Lev | 21536 | 0.4356 | 0.2058 | 0.0492 | 0.4299 | 0.9754 |
| ROA | 21536 | 0.0412 | 0.0559 | -0.2984 | 0.0532 | 0.2239 |
| 变量名称 | 无独立性非CEO高管组 | 有独立性非CEO高管组 | 差值 | t值 |
|---|---|---|---|---|
| Ncskew | -0.3720 | -0.4400 | 0.0680*** | 6.26 |
| Duvol | -0.2660 | -0.3100 | 0.0440*** | 6.12 |
| Dturn | -0.1701 | -0.1067 | -0.0634*** | -4.44 |
| Ret | 0.0056 | 0.0032 | 0.0024** | 2.12 |
| Sigma | 0.0685 | 0.0645 | 0.0040*** | 8.23 |
| LNcskew | -0.3621 | -0.4244 | 0.0623*** | 5.63 |
| Scomp | 15.1581 | 15.1871 | -0.0290* | -2.30 |
| Top1 | 0.3552 | 0.3400 | 0.0152*** | 4.30 |
| Indep | 0.3678 | 0.3623 | 0.0055*** | 3.64 |
| MA | 0.6001 | 0.6345 | -0.0344*** | -7.75 |
| Size | 21.9122 | 22.5358 | -0.6236*** | -17.01 |
| Lev | 0.3958 | 0.4468 | -0.0510*** | -19.72 |
| ROA | 0.0468 | 0.0356 | 0.0112*** | 13.41 |
| 变量名称 | 无独立性非CEO高管组 | 有独立性非CEO高管组 | 差值 | t值 |
|---|---|---|---|---|
| Ncskew | -0.3720 | -0.4400 | 0.0680*** | 6.26 |
| Duvol | -0.2660 | -0.3100 | 0.0440*** | 6.12 |
| Dturn | -0.1701 | -0.1067 | -0.0634*** | -4.44 |
| Ret | 0.0056 | 0.0032 | 0.0024** | 2.12 |
| Sigma | 0.0685 | 0.0645 | 0.0040*** | 8.23 |
| LNcskew | -0.3621 | -0.4244 | 0.0623*** | 5.63 |
| Scomp | 15.1581 | 15.1871 | -0.0290* | -2.30 |
| Top1 | 0.3552 | 0.3400 | 0.0152*** | 4.30 |
| Indep | 0.3678 | 0.3623 | 0.0055*** | 3.64 |
| MA | 0.6001 | 0.6345 | -0.0344*** | -7.75 |
| Size | 21.9122 | 22.5358 | -0.6236*** | -17.01 |
| Lev | 0.3958 | 0.4468 | -0.0510*** | -19.72 |
| ROA | 0.0468 | 0.0356 | 0.0112*** | 13.41 |
| 变量 | (1) Ncskew | (2) Ncskew | (3) Ncskew | (4) Duvol | (5) Duvol | (6) Duvol |
|---|---|---|---|---|---|---|
| Intgov | -0.0878*** (-5.13) | -0.0753*** (-5.27) | -0.0702*** (-5.13) | -0.0453*** (-4.56) | -0.0436*** (-4.12) | -0.0412*** (-4.56) |
| Dturn | -0.0021 (-0.15) | -0.0023 (-0.89) | -0.0052 (-1.23) | -0.0143* (-1.86) | ||
| Ret | 14.6523*** (19.25) | 11.1323*** (13.56) | 9.6465*** (18.23) | 7.5223*** (13.23) | ||
| Sigma | -2.2233*** (-5.12) | -1.6897*** (-5.23) | -1.5657*** (-7.23) | -1.2563*** (-4.55) | ||
| LNcskew | 0.0453*** (9.89) | 0.0708*** (8.49) | 0.0563*** (9.57) | 0.0321*** (8.53) | ||
| Scomp | -0.0456 (-0.25) | 0.0563 (0.56) | ||||
| Top1 | 0.0225 (0.23) | 0.0256 (1.24) | ||||
| Indep | 0.1122 (1.22) | 0.0586 (1.31) | ||||
| MA | -0.3498*** (-8.61) | -0.2156*** (-5.72) | ||||
| Size | 0.0563*** (5.92) | 0.0532*** (4.95) | ||||
| Lev | -0.0623** (-2.27) | -0.0313*** (-2.71) | ||||
| ROA | 0.1563 (1.23) | 0.0563 (1.11) | ||||
| Cons | -0.1456 (-0.23) | 0.2356 (1.23) | -0.4566* (-1.96) | -0.2124** (-2.11) | -0.0145 (-0.56) | -0.4569*** (-3.36) |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0405 | 0.0556 | 0.0789 | 0.0453 | 0.0786 | 0.0986 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | (1) Ncskew | (2) Ncskew | (3) Ncskew | (4) Duvol | (5) Duvol | (6) Duvol |
|---|---|---|---|---|---|---|
| Intgov | -0.0878*** (-5.13) | -0.0753*** (-5.27) | -0.0702*** (-5.13) | -0.0453*** (-4.56) | -0.0436*** (-4.12) | -0.0412*** (-4.56) |
| Dturn | -0.0021 (-0.15) | -0.0023 (-0.89) | -0.0052 (-1.23) | -0.0143* (-1.86) | ||
| Ret | 14.6523*** (19.25) | 11.1323*** (13.56) | 9.6465*** (18.23) | 7.5223*** (13.23) | ||
| Sigma | -2.2233*** (-5.12) | -1.6897*** (-5.23) | -1.5657*** (-7.23) | -1.2563*** (-4.55) | ||
| LNcskew | 0.0453*** (9.89) | 0.0708*** (8.49) | 0.0563*** (9.57) | 0.0321*** (8.53) | ||
| Scomp | -0.0456 (-0.25) | 0.0563 (0.56) | ||||
| Top1 | 0.0225 (0.23) | 0.0256 (1.24) | ||||
| Indep | 0.1122 (1.22) | 0.0586 (1.31) | ||||
| MA | -0.3498*** (-8.61) | -0.2156*** (-5.72) | ||||
| Size | 0.0563*** (5.92) | 0.0532*** (4.95) | ||||
| Lev | -0.0623** (-2.27) | -0.0313*** (-2.71) | ||||
| ROA | 0.1563 (1.23) | 0.0563 (1.11) | ||||
| Cons | -0.1456 (-0.23) | 0.2356 (1.23) | -0.4566* (-1.96) | -0.2124** (-2.11) | -0.0145 (-0.56) | -0.4569*** (-3.36) |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0405 | 0.0556 | 0.0789 | 0.0453 | 0.0786 | 0.0986 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 以应计盈余管理水平测度信息透明度 | 基于股票市场视角反映信息透明度 | ||||
|---|---|---|---|---|---|---|
| (1) AbsACC | (2) Ncskew | (3) Duvol | (4) KV | (5) Ncskew | (6) Duvol | |
| AbsACC | 0.3193*** (3.17) | 0.1889*** (2.98) | ||||
| KV | 1.3506*** (12.23) | 0.7037*** (12.25) | ||||
| Intgov | -0.0323*** (-12.02) | -0.0615*** (-4.23) | -0.0351*** (-3.35) | -0.0109*** (-5.20) | -0.1064*** (-3.02) | -0.0328*** (-4.20) |
| Cons | 0.1722*** (12.23) | -0.8480*** (-4.12) | -0.5783*** (-3.65) | 0.9279*** (15.12) | -1.6507*** (-8.23) | -0.9482*** (-6.12) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0656 | 0.0785 | 0.0725 | 0.2625 | 0.1002 | 0.0923 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 以应计盈余管理水平测度信息透明度 | 基于股票市场视角反映信息透明度 | ||||
|---|---|---|---|---|---|---|
| (1) AbsACC | (2) Ncskew | (3) Duvol | (4) KV | (5) Ncskew | (6) Duvol | |
| AbsACC | 0.3193*** (3.17) | 0.1889*** (2.98) | ||||
| KV | 1.3506*** (12.23) | 0.7037*** (12.25) | ||||
| Intgov | -0.0323*** (-12.02) | -0.0615*** (-4.23) | -0.0351*** (-3.35) | -0.0109*** (-5.20) | -0.1064*** (-3.02) | -0.0328*** (-4.20) |
| Cons | 0.1722*** (12.23) | -0.8480*** (-4.12) | -0.5783*** (-3.65) | 0.9279*** (15.12) | -1.6507*** (-8.23) | -0.9482*** (-6.12) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0656 | 0.0785 | 0.0725 | 0.2625 | 0.1002 | 0.0923 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 国有企业组 | 民营企业组 | ||
|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | |
| Intgov | -0.0005 (-0.58) | -0.0102 (-0.91) | -0.1031*** (-5.02) | -0.0531*** (-5.19) |
| Cons | -1.4247*** (-4.54) | -0.7138*** (-3.23) | -0.5022** (-2.56) | -0.5035*** (-3.69) |
| Controls | YES | YES | YES | YES |
| Year | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES |
| Adj_R2 | 0.0832 | 0.0956 | 0.0512 | 0.0563 |
| N | 9515 | 9515 | 12021 | 12021 |
| 变量 | 国有企业组 | 民营企业组 | ||
|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | |
| Intgov | -0.0005 (-0.58) | -0.0102 (-0.91) | -0.1031*** (-5.02) | -0.0531*** (-5.19) |
| Cons | -1.4247*** (-4.54) | -0.7138*** (-3.23) | -0.5022** (-2.56) | -0.5035*** (-3.69) |
| Controls | YES | YES | YES | YES |
| Year | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES |
| Adj_R2 | 0.0832 | 0.0956 | 0.0512 | 0.0563 |
| N | 9515 | 9515 | 12021 | 12021 |
| 变量 | 外部监督较强 | 外部监督较弱 | ||||||
|---|---|---|---|---|---|---|---|---|
| “国际四大”审计师 | 机构投资者持股比例较高 | 非“国际四大”审计师 | 机构投资者持股比例较低 | |||||
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | (7) Ncskew | (8) Duvol | |
| Intgov | -0.0634 (-1.23) | -0.0382 (-1.09) | -0.0355 (-0.96) | -0.0199 (-0.96) | -0.0738*** (-4.12) | -0.0410*** (-4.56) | -0.0923*** (-4.12) | -0.0486*** (-3.56) |
| Cons | -1.9125*** (-3.43) | -1.1234*** (-3.93) | -0.7656 (-1.59) | -0.6456** (-2.12) | -0.5129** (-2.19) | -0.5128*** (-3.22) | -0.6367* (-1.76) | -0.5564** (-2.52) |
| Controls | YES | YES | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.2456 | 0.2236 | 0.0654 | 0.0568 | 0.0623 | 0.0456 | 0.0233 | 0.0125 |
| N | 1568 | 1568 | 10123 | 10123 | 19968 | 19968 | 11413 | 11413 |
| 变量 | 外部监督较强 | 外部监督较弱 | ||||||
|---|---|---|---|---|---|---|---|---|
| “国际四大”审计师 | 机构投资者持股比例较高 | 非“国际四大”审计师 | 机构投资者持股比例较低 | |||||
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | (7) Ncskew | (8) Duvol | |
| Intgov | -0.0634 (-1.23) | -0.0382 (-1.09) | -0.0355 (-0.96) | -0.0199 (-0.96) | -0.0738*** (-4.12) | -0.0410*** (-4.56) | -0.0923*** (-4.12) | -0.0486*** (-3.56) |
| Cons | -1.9125*** (-3.43) | -1.1234*** (-3.93) | -0.7656 (-1.59) | -0.6456** (-2.12) | -0.5129** (-2.19) | -0.5128*** (-3.22) | -0.6367* (-1.76) | -0.5564** (-2.52) |
| Controls | YES | YES | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.2456 | 0.2236 | 0.0654 | 0.0568 | 0.0623 | 0.0456 | 0.0233 | 0.0125 |
| N | 1568 | 1568 | 10123 | 10123 | 19968 | 19968 | 11413 | 11413 |
| 变量 | 地区市场化程度较高 | 地区市场化程度较低 | ||
|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | |
| Intgov | -0.0387 (-1.32) | -0.0217 (-1.07) | -0.0570** (-2.36) | -0.0401*** (-2.67) |
| Cons | -1.2569*** (-3.36) | -0.7255*** (-3.36) | -0.6630*** (-2.56) | -0.4565*** (-3.20) |
| Controls | YES | YES | YES | YES |
| Year | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES |
| Adj_R2 | 0.0823 | 0.0756 | 0.0562 | 0.0712 |
| N | 10036 | 10036 | 11500 | 11500 |
| 变量 | 地区市场化程度较高 | 地区市场化程度较低 | ||
|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | |
| Intgov | -0.0387 (-1.32) | -0.0217 (-1.07) | -0.0570** (-2.36) | -0.0401*** (-2.67) |
| Cons | -1.2569*** (-3.36) | -0.7255*** (-3.36) | -0.6630*** (-2.56) | -0.4565*** (-3.20) |
| Controls | YES | YES | YES | YES |
| Year | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES |
| Adj_R2 | 0.0823 | 0.0756 | 0.0562 | 0.0712 |
| N | 10036 | 10036 | 11500 | 11500 |
| 变量 | 改变被解释变量测度指标 | 改变解释变量测度指标 | ||||
|---|---|---|---|---|---|---|
| (1) Crash | (2) Crash | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | |
| Intgov | -0.0792*** (-2.69) | -0.1823*** (-2.78) | ||||
| -0.0456*** (-5.33) | -0.0302*** (-4.06) | |||||
| Dum1 | -0.0429*** (-4.53) | -0.0360*** (-4.32) | ||||
| Cons | 0.8323* (1.91) | 2.5631** (2.40) | -0.5628* (-1.88) | -0.6332*** (-3.27) | -0.4632* (-1.83) | -0.4676*** (-3.16) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0323 | 0.0416 | 0.0259 | 0.0686 | 0.0365 | 0.1256 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 改变被解释变量测度指标 | 改变解释变量测度指标 | ||||
|---|---|---|---|---|---|---|
| (1) Crash | (2) Crash | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | |
| Intgov | -0.0792*** (-2.69) | -0.1823*** (-2.78) | ||||
| -0.0456*** (-5.33) | -0.0302*** (-4.06) | |||||
| Dum1 | -0.0429*** (-4.53) | -0.0360*** (-4.32) | ||||
| Cons | 0.8323* (1.91) | 2.5631** (2.40) | -0.5628* (-1.88) | -0.6332*** (-3.27) | -0.4632* (-1.83) | -0.4676*** (-3.16) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0323 | 0.0416 | 0.0259 | 0.0686 | 0.0365 | 0.1256 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 第一阶段回归 | 第二阶段回归 | |
|---|---|---|---|
| (1) Intgov | (2) Ncskew | (3) Duvol | |
| IV1 | 0.3321*** (4.02) | ||
| IV2 | 0.2122*** (2.89) | ||
| Intgov | -0.7568** (-2.21) | -0.5397** (-2.09) | |
| Cons | -0.1365 -0.15 | -1.2366*** (-5.32) | -0.7882*** (-5.01) |
| Controls | YES | YES | YES |
| Year | YES | YES | YES |
| Industry | YES | YES | YES |
| Adj_R2 | 0.3895 | 0.1796 | 0.2458 |
| N | 21536 | 21536 | 21536 |
| 变量 | 第一阶段回归 | 第二阶段回归 | |
|---|---|---|---|
| (1) Intgov | (2) Ncskew | (3) Duvol | |
| IV1 | 0.3321*** (4.02) | ||
| IV2 | 0.2122*** (2.89) | ||
| Intgov | -0.7568** (-2.21) | -0.5397** (-2.09) | |
| Cons | -0.1365 -0.15 | -1.2366*** (-5.32) | -0.7882*** (-5.01) |
| Controls | YES | YES | YES |
| Year | YES | YES | YES |
| Industry | YES | YES | YES |
| Adj_R2 | 0.3895 | 0.1796 | 0.2458 |
| N | 21536 | 21536 | 21536 |
| 变量 | 个体固定效应模型 | 倾向得分匹配法 | Heckman第二阶段回归 | |||
|---|---|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | |
| Intgov | -0.0425** (-2.08) | -0.0305** (-2.12) | -0.0452*** (-2.89) | -0.0655*** (-3.12) | -0.0691*** (-4.06) | -0.0650*** (-4.23) |
| IMR | 0.4873*** (3.15) | 0.3562*** (3.67) | ||||
| Cons | -2.9786*** (-7.16) | -1.6896*** (-6.62) | -0.6449*** (-2.74) | -0.4738** (-2.27) | -1.2812*** (-3.12) | -1.0221*** (-4.98) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0627 | 0.0870 | 0.0723 | 0.0659 | 0.0782 | 0.0699 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| 变量 | 个体固定效应模型 | 倾向得分匹配法 | Heckman第二阶段回归 | |||
|---|---|---|---|---|---|---|
| (1) Ncskew | (2) Duvol | (3) Ncskew | (4) Duvol | (5) Ncskew | (6) Duvol | |
| Intgov | -0.0425** (-2.08) | -0.0305** (-2.12) | -0.0452*** (-2.89) | -0.0655*** (-3.12) | -0.0691*** (-4.06) | -0.0650*** (-4.23) |
| IMR | 0.4873*** (3.15) | 0.3562*** (3.67) | ||||
| Cons | -2.9786*** (-7.16) | -1.6896*** (-6.62) | -0.6449*** (-2.74) | -0.4738** (-2.27) | -1.2812*** (-3.12) | -1.0221*** (-4.98) |
| Controls | YES | YES | YES | YES | YES | YES |
| Year | YES | YES | YES | YES | YES | YES |
| Industry | YES | YES | YES | YES | YES | YES |
| Adj_R2 | 0.0627 | 0.0870 | 0.0723 | 0.0659 | 0.0782 | 0.0699 |
| N | 21536 | 21536 | 21536 | 21536 | 21536 | 21536 |
| [1] | KIM J B, LI Y H, ZHANG L D. Corporate Tax Avoidance and Stock Price Crash Risk:Firm-Level Analysis[J]. Journal of Financial Economics, 2010(3):639-662. |
| [2] | LIN J, MYERS S C. R2 Around the World:New Theory and New Tests[J]. Journal of Financial Economics, 2006(2): 257-292. |
| [3] | KIM J B, ZHANG L D. Financial Reporting Opacity and Expected Crash Risk:Evidence from Implied Volatility Smirks[J]. Contemporary Accounting Research, 2014(3):851-875. |
| [4] | 王化成, 曹丰, 叶康涛. 监督还是掏空:大股东持股比例与股价崩盘风险[J]. 管理世界, 2015(2):45-57+187. |
| [5] | 姜付秀, 蔡欣妮, 朱冰. 多个大股东与股价崩盘风险[J]. 会计研究, 2018(1):68-74. |
| [6] | JEBRAN K, CHEN S, ZHU D H. Board Informal Hierarchy and Stock Price Crash Risk:Theory and Evidence from China[J]. Corporate Governance:An International Review, 2019(5):341-357. |
| [7] | 梁权熙, 曾海舰. 独立董事制度改革、独立董事的独立性与股价崩盘风险[J]. 管理世界, 2016(3):144-159. |
| [8] | ACHARYA V V, MYERS S C, RAJAN R G. The Internal Governance of Firms[J]. Journal of Finance, 2011(3):689-720. |
| [9] | LANDIER A, SAUVAGNAT J, SRAER D, THESMAR D. Bottom-Up Corporate Governance[J]. Review of Finance, 2013 (1):161-201. |
| [10] | KHANNA V, KIM E H, LU Y. CEO Connectedness and Corporate Fraud[J]. The Journal of Finance, 2015(3):1203-1252. |
| [11] | CHENG Q, SHEVLIN T, LEE J. Internal Governance and Real Earnings Management[J]. Accounting Review, 2016 (4):1051-1085. |
| [12] | 张兴亮, 夏成才. 非CEO高管患寡还是患不均[J]. 中国工业经济, 2016(9):144-160. |
| [13] | 张博, 韩亚东, 李广众. 高管团队内部治理与企业资本结构调整——基于非CEO高管独立性的视角[J]. 金融研究, 2021(2):153-170. |
| [14] | KIM J B, LI Y H, ZHANG L D. CFOs Versus CEOs:Equity Incentives and Crashes[J]. Journal of Financial Economics, 2011(3):713-730. |
| [15] | HAMBRICK D C, MASON P A. Upper Echelons:The Organization as a Reflection of Its Top Managers[J]. The Academy of Management Review, 1984(2):193-206. |
| [16] | 杜勇, 王婷. 非CEO高管独立性与实体企业金融化[J]. 上海财经大学学报, 2022(3):45-60+122. |
| [17] | HUTTON A P, MARCUS A J, TEHRANIAN H. Opaque Financial Reports,R2,and Crash Risk[J]. Journal of Financial Economics, 2009(1):67-86. |
| [18] | 江轩宇, 许年行. 企业过度投资与股价崩盘风险[J]. 金融研究, 2015(8):141-158. |
| [19] | 宋献中, 胡珺, 李四海. 社会责任信息披露与股价崩盘风险——基于信息效应与声誉保险效应的路径分析[J]. 金融研究, 2017(4):161-175. |
| [20] | BARON R M, KENNY D A. The Moderator-Mediator Variable Distinction in Social Psychological Rresearch:Con-ceptu al,Strategic and Statistical Considerations[J]. Journal of Personality and Social Psychology, 1986(6):1173-1182. |
| [21] |
温忠麟, 叶宝娟. 中介效应分析:方法和模型发展[J]. 心理科学进展, 2014(5):731-745.
DOI |
| [22] | 陆瑶, 施新政, 刘璐瑶. 劳动力保护与盈余管理——基于最低工资政策变动的实证分析[J]. 管理世界, 2017 (3):146-158. |
| [23] | OLIVER K, VERRECCHIA R E. The Relation Among Disclosure,Returns,and Trading Volume Information[J]. Ac-counting Review, 2001(4):633-654. |
| [24] | 李寿喜. 产权、代理成本和代理效率[J]. 经济研究, 2007(1):102-113. |
| [25] | 林乐, 郑登津. 退市监管与股价崩盘风险[J]. 中国工业经济, 2016(12):58-74. |
| [26] | DEFOND M L, WONG T J, LI S H. The Impact of Improved Auditor Independence on Audit Market Concentration in China[J]. Journal of Accounting and Economics, 1999(3):269-305. |
| [27] | 王小鲁, 樊纲, 余静文. 中国分省份市场化指数报告(2016)[M]. 北京: 社会科学文献出版社, 2017. |
| [28] | XU N H, LI X R, YUAN Q B, CHAN K C. Excess Perks and Stock Price Crash Risk:Evidence from China[J]. Journal of Corporate Finance, 2014(2):419-434. |
| [1] | WU Chengsong, RUI Liangping. ESG Rating and Corporate Tax Avoidance [J]. Finance & Economics of Xinjiang, 2025, 0(2): 71-80. |
| [2] | Xu Jianling, Zhou Zhiyuan, Hong Jiao. Does Executive Incentive Boost Charitable Foundation Donation Income?—Based on the Analysis of the Mediating Effect of Foundation Information Transparency [J]. Finance & Economics of Xinjiang, 2021, 0(4): 49-60. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||