This study investigates whether corporate social status shapes cash-holding decisions and through which channels this effect occurs. Using 11,266 firm-year observations for Chinese A-share listed companies from 2007 to 2024, corporate social status is measured as a market-recognition signal based on analyst attention, and its relationship with cash holdings is examined under year and industry fixed effects. The results show that higher social status is significantly associated with lower corporate cash holdings. This finding remains robust after addressing potential sample-selection bias with a Heckman two-stage model, redefining both cash holdings and social status, excluding years affected by major financial events, and applying alternative model specifications. Further analysis reveals important heterogeneity: the negative effect is more pronounced among non-state-owned enterprises and among firms without close bank-firm ties, suggesting that social status is especially valuable when formal institutional support or relationship-based financing is weaker. Mechanism tests show that social status reduces cash holdings partly by increasing capital expenditure, indicating that higher-status firms are more able, or more willing, to convert liquidity reserves into investment. In addition, financial constraints strengthen the relationship between social status and cash holdings, implying that status-based signals are particularly consequential when firms face tighter access to external finance. This study contributes to research on corporate liquidity management by shifting attention from purely economic determinants to the social attributes of firms. It also provides evidence that market-recognized status can function as an informal governance and resource-allocation mechanism in emerging capital markets. The findings offer practical implications for managers, financial institutions, and policymakers: cash-holding policies should be evaluated not only through balance-sheet indicators, but also through the firm's social position, financing environment, ownership structure, and investment opportunities.
| Published in | International Journal of Economics, Finance and Management Sciences (Volume 14, Issue 5) |
| DOI | 10.11648/j.ijefm.20261405.22 |
| Page(s) | 415-430 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Social Status, Cash Holdings, The Bank-firm Relationship, Property Right Nature, Capital Expenditure, Financial Constraint
Variables | N | Mean | Std. Dev. | Min | Median | Max |
|---|---|---|---|---|---|---|
CASH | 11 266 | 0.239 | 0.229 | 0.011 | 0.170 | 2.353 |
STD | 11 266 | 0.053 | 0.950 | -1.933 | 0.088 | 1.937 |
SIZE | 11 266 | 22.310 | 1.207 | 19.300 | 22.150 | 26.020 |
ROA | 11 266 | 0.044 | 0.047 | -0.286 | 0.040 | 0.211 |
LEV | 11 266 | 0.460 | 0.193 | 0.050 | 0.464 | 0.995 |
CFO | 11 266 | 0.049 | 0.066 | -0.187 | 0.048 | 0.253 |
DUAL | 11 266 | 0.228 | 0.406 | 0 | 0 | 1 |
SHR | 11 266 | 36.190 | 14.490 | 8.785 | 34.860 | 74.980 |
GROWTH | 11 266 | 0.192 | 0.227 | -1.448 | 0.108 | 0.770 |
AGE | 11 266 | 2.206 | 0.621 | 1.099 | 2.303 | 3.258 |
PAY | 11 266 | 12.450 | 0.670 | 10.380 | 12.440 | 14.320 |
TQ | 11 266 | 1.833 | 1.501 | 0.169 | 1.399 | 9.486 |
LOAN | 11 266 | 0.165 | 0.136 | 0 | 0.147 | 0.600 |
CDPR | 11266 | 0.255 | 0.251 | 0 | 0.211 | 1.791 |
Variables | (1) | (2) | (3) |
|---|---|---|---|
Princilpal regression | adjusted by industry mean | Adjusted by industry median | |
CASH | CASH | CASH | |
STD | -0.0059** | -0.0059** | -0.0059** |
(-2.445) | (-2.140) | (-2.445) | |
SIZE | 0.0134*** | 0.0105*** | 0.0134*** |
(5.258) | (3.480) | (5.258) | |
ROA | 0.0344 | 0.0314 | 0.0344 |
(0.565) | (0.372) | (0.565) | |
LEV | -0.1990*** | -0.1190*** | -0.1990*** |
(-9.375) | (-4.824) | (-9.375) | |
CFO | 0.3260*** | 0.2970*** | 0.3260*** |
(9.063) | (6.886) | (9.063) | |
DUAL | 0.0079 | 0.0002 | 0.0080 |
(1.366) | (0.0282) | (1.366) | |
SHR | 0.0003* | 0.0002 | 0.0002* |
(1.689) | (1.539) | (1.689) | |
GROWTH | -0.0095 | -0.0141 | -0.0095 |
(-1.009) | (-1.209) | (-1.009) | |
AGE | -0.0397*** | -0.0195*** | -0.0397*** |
(-9.432) | (-3.583) | (-9.312) | |
PAY | 0.0039 | 0.0050 | 0.0040 |
(1.043) | (1.130) | (1.043) | |
TQ | 0.0118*** | 0.0152*** | 0.0118*** |
(5.107) | (5.546) | (5.137) | |
LOAN | -0.3500*** | -0.3570*** | -0.3501*** |
(-18.02) | (-15.61) | (-18.12) | |
CDPR | 0.0341*** | 0.0294*** | 0.0341*** |
(3.716) | (2.784) | (3.766) | |
Constant | 0.0667 | 0.0045 | V0.2303*** |
(1.128) | (0.0618) | (12.005) | |
Year | YES | YES | YES |
Industry | YES | YES | YES |
N | 11 266 | 8,112 | 11 266 |
Adj.R2 | 0.246 | 0.212 | 0.246 |
Variables | (1) | (2) |
|---|---|---|
Stage1 | Stage2 | |
STD | -0.0546*** | -0.1620*** |
(-3.390) | (-47.530) | |
IMR | 5.006*** | |
(53.370) | ||
SIZE | 0.0473*** | 0.1500*** |
(2.639) | (47.750) | |
ROA | 0.2620 | 0.8500*** |
(0.682) | (18.060) | |
LEV | -0.6090*** | -1.9360*** |
(-4.948) | (-51.220) | |
CFO | 1.727*** | 5.3170*** |
(7.543) | (52.830) | |
DUAL | 0.0390 | 0.1250*** |
(1.141) | (28.550) | |
SHR | -0.0014 | -0.0042*** |
(-1.398) | (-33.010) | |
GROWTH | 0.1240* | 0.3860*** |
(1.936) | (37.940) | |
AGE | -0.2560*** | -0.7760*** |
(-9.667) | (-53.270) | |
PAY | -0.0386 | -0.1190*** |
(-1.555) | (-34.930) | |
TQ | -0.0196 | -0.0592*** |
(-1.441) | (-27.400) | |
LOAN | -0.2630* | -0.8570*** |
(-1.846) | (-50.380) | |
CDPR | 0.0593 | 0.1980*** |
(1.076) | (28.640) | |
meancash | -0.2550*** | |
(-3.194) | ||
Constant | 0.4580 | -2.6580*** |
(1.126) | (-40.470) | |
Year | YES | YES |
Industry | YES | YES |
N | 11 266 | 11 266 |
Adj.R2 | - | 0.659 |
Variables | (1) | (2) | (3) | (4) | (5) | (6) |
|---|---|---|---|---|---|---|
CASH | CASH | CASH | CASH | CASH | CASH | |
Redefining dependent variable | Redefining dependent variable | Redefining independent variable | Eliminate major events | Fixed effect | Random effect | |
STD | -0.0029*** | -0.0039** | -0.0059** | -0.0068** | -0.0047* | -0.0056** |
(-2.846) | (-2.083) | (-2.518) | (-2.570) | (-1.682) | (-2.143) | |
SIZE | 0.0051*** | 0.0074*** | 0.0130*** | 0.0158*** | 0.0581*** | 0.0288*** |
(4.357) | (3.571) | (5.229) | (5.531) | (6.413) | (6.228) | |
ROA | 0.0210 | 0.0674 | 0.0622 | -0.0175 | 0.1180* | 0.1210* |
(0.832) | (1.438) | (1.026) | (-0.239) | (1.728) | (1.914) | |
LEV | -0.0531*** | -0.1460*** | -0.2030*** | -0.2240*** | -0.3680 *** | -0.3630*** |
(-5.877) | (-8.998) | (-9.739) | (-9.250) | (-9.463) | (-11.480) | |
CFO | 0.1230*** | 0.2460*** | 0.3110*** | 0.3540*** | 0.3960*** | 0.3660*** |
(7.857) | (8.584) | (8.810) | (8.843) | (11.160) | (10.740) | |
DUAL | 0.0046** | 0.0036 | 0.0062 | 0.0108 | 0.0195** | 0.0182** |
(1.981) | (0.776) | (1.080) | (1.610) | (2.224) | (2.395) | |
SHR | 0.0001** | 0.0002 | 0.0002 | 0.0002 | -0.0007 | -0.0001 |
(2.099) | (1.621) | (1.515) | (1.467) | (-1.476) | (-0.455) | |
GROWTH | 0.0010 | -0.0042 | -0.0077 | -0.0028 | -0.0145* | -0.0102 |
(0.234) | (-0.550) | (-0.816) | (-0.250) | (-1.764) | (-1.267) | |
AGE | -0.0144*** | -0.0195*** | -0.0394*** | -0.0458*** | -0.2430*** | -0.0787*** |
(-7.858) | (-5.744) | (-9.432) | (-9.890) | (-13.540) | (-11.420) | |
PAY | 0.0020 | 0.0072** | 0.0026 | 0.0041 | -0.0137** | -0.0056 |
(1.155) | (2.379) | (0.696) | (0.937) | (-2.061) | (-1.039) | |
TQ | 0.0078*** | 0.0159*** | 0.0107*** | 0.0159*** | -0.0063* | -0.0028 |
(7.641) | (7.872) | (4.704) | (5.608) | (-1.920) | (-0.979) | |
LOAN | -0.2080*** | -0.3610*** | -0.3450*** | -0.3470*** | 0.0061 | -0.1060*** |
(-21.780) | (-23.210) | (-18.050) | (-15.880) | (0.1820) | (-3.775) | |
CDPR | 0.0177*** | 0.0258*** | 0.0357*** | 0.0400*** | 0.0207** | 0.0240*** |
(4.558) | (3.451) | (4.039) | (3.793) | (2.470) | (2.938) | |
Constant | 0.0903*** | 0.0857* | 0.0915 | 0.0432 | -0.255 | -0.0407 |
(3.301) | (1.759) | (1.562) | (0.641) | (-1.299) | (-0.419) | |
Year | YES | YES | YES | YES | YES | YES |
Industry | YES | YES | YES | YES | NO | YES |
N | 11,978 | 11,977 | 9,638 | 8,645 | 10,426 | 11 266 |
Adj.R2 | 0.243 | 0.233 | 0.243 | 0.261 | 0.189 | - |
Variables | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
CASH | CASH | CASH | CASH | |
SOE=1 | SOE=0 | Relate=1 | Relate=0 | |
STD | 0.0009 | -0.0092** | -0.0054 | -0.0063* |
(0.279) | (-2.409) | (-1.583) | (-1.863) | |
SIZE | 0.0051 | 0.0214*** | 0.0091*** | 0.0186*** |
(1.568) | (4.615) | (2.598) | (4.987) | |
ROA | 0.1890** | -0.0953 | 0.0446 | 0.0052 |
(2.151) | (-1.032) | (0.522) | (0.062) | |
LEV | -0.0467* | -0.4130*** | -0.1420*** | -0.2430*** |
(-1.762) | (-11.54) | (-4.561) | (-8.396) | |
CFO | 0.2570*** | 0.4180*** | 0.2410*** | 0.3750*** |
(5.296) | (7.269) | (4.756) | (7.489) | |
DUAL | 0.0060 | 0.0077 | 0.0008 | 0.0142* |
(0.615) | (1.008) | (0.104) | (1.681) | |
SHR | 0.0001 | 0.0007*** | 0.0001 | 0.0003 |
(0.360) | (2.594) | (0.629) | (1.627) | |
GROWTH | -0.0031 | -0.0070 | -0.0105 | -0.0121 |
(-0.257) | (-0.451) | (-0.799) | (-0.898) | |
AGE | -0.0372*** | -0.0519*** | -0.0329*** | -0.0445*** |
(-5.076) | (-8.209) | (-5.733) | (-7.332) | |
PAY | 0.0150*** | 0.0016 | 0.0060 | 0.0015 |
(3.060) | (0.238) | (1.049) | (0.285) | |
TQ | 0.0154*** | 0.0136*** | 0.0119*** | 0.0119*** |
(4.149) | (4.239) | (3.589) | (3.845) | |
LOAN | -0.3710*** | -0.2490*** | -0.3190*** | -0.3780*** |
(-15.330) | (-7.429) | (-10.820) | (-14.630) | |
CDPR | 0.0019 | 0.0585*** | 0.0443*** | 0.0284** |
(0.166) | (4.102) | (3.274) | (2.352) | |
Constant | 0.0602 | -0.00656 | 0.0962 | 0.0183 |
(0.798) | (-0.0660) | (1.173) | (0.214) | |
Year | YES | YES | YES | YES |
Industry | YES | YES | YES | YES |
N | 5,582 | 6,248 | 6,116 | 6,307 |
Adj.R2 | 0.239 | 0.288 | 0.232 | 0.258 |
Variables | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
CASH | CAPEX | CASH | CASH | |
Intermediary effect test | moderating effect test | |||
STD | -0.0051** | 0.0061*** | -0.0015 | 0.0133 |
(-2.118) | (11.510) | (-0.625) | (1.639) | |
CAPEX | -0.5910*** | |||
(-12.470) | ||||
STD*SA | -0.0043*** | |||
(-2.708) | ||||
SA | 0.0182 | |||
(1.519) | ||||
SIZE | 0.0129*** | 0.0007 | 0.0134*** | -0.0094 |
(5.055) | (1.261) | (5.251) | (-0.621) | |
ROA | 0.0315 | -0.0260** | 0.0162 | 0.0396 |
(0.515) | (-2.074) | (0.266) | (0.645) | |
LEV | -0.1980*** | -0.0316*** | -0.216*** | -0.1980*** |
(-9.234) | (-8.001) | (-10.05) | (-9.345) | |
CFO | 0.3190*** | 0.1130*** | 0.3860*** | 0.3270*** |
(8.760) | (15.51) | (10.42) | (9.097) | |
DUAL | 0.0076 | 0.0025** | 0.0091 | 0.0081 |
(1.297) | (2.180) | (1.560) | (1.388) | |
SHR | 0.0003* | -0.0001** | 0.0003* | 0.000234 |
(1.908) | (-2.181) | (1.652) | (1.547) | |
GROWTH | -0.00996 | 0.0101*** | -0.0040 | -0.0091 |
(-1.039) | (5.030) | (-0.419) | (-0.969) | |
AGE | -0.0400*** | -0.0141*** | -0.0483*** | -0.0346*** |
(-9.396) | (-16.200) | (-11.020) | (-7.130) | |
PAY | 0.0038 | 0.0032*** | 0.0057 | 0.0045 |
(0.987) | (3.899) | (1.486) | (1.171) | |
TQ | 0.0120*** | -0.000362 | 0.0118*** | 0.0114*** |
(5.136) | (-0.806) | (5.078) | (4.898) | |
LOAN | -0.3540*** | 0.0883*** | -0.3020*** | -0.3510*** |
(-17.970) | (18.39) | (-15.240) | (-17.980) | |
CDPR | 0.0345*** | -0.00527*** | 0.0314*** | 0.0345*** |
(3.788) | (-3.035) | (3.466) | (3.814) | |
Constant | 0.0828 | 0.0413*** | 0.1070* | 0.4750* |
(1.389) | (3.117) | (1.809) | (1.726) | |
Sobel |Z| | 9.679 | |||
Year | YES | YES | YES | YES |
Industry | YES | YES | YES | YES |
N | 10,285 | 9,985 | 9,885 | 10,403 |
Adj.R2 | 0.247 | 0.218 | 0.258 | 0.247 |
Variables | Definitions |
|---|---|
Dependent variables | |
Cash | (monetary capital+trading financial assets)/(total assets minus cash and cash equivalents) |
Key explanatory variable | |
Social status | According to Shen et al. (2014), we use the residual of analysts' attention to measure the social status, selects the influencing factors concerned by analysts to build a model, and uses the residual to measure corporate social status |
Control variables | |
SIZE | The natural logarithm of a firm's total assets |
ROA | Net profit divided by net assets |
LEV | A firm's total liabilities scaled by its total assets |
CFO | Net cash flow from operating activities divided by total assets |
DUAL | When the chairman and executiveare the same person, the value is 1, otherwise the value is 0 |
SHR | Shareholding ratio of the largest shareholder |
GROWTH | (revenues of the period- revenues of the period)/ revenues of the period |
AGE | The natural logarithm of a firm‘s listed years plus 1 |
PAY | Ln(Total remuneration of the top three executives of the company) |
TQ | Market value/total assets |
LOAN | (short-term loan+long-term loan)/total assets |
CDPR | Pre-tax cash dividends /EPS |
Intermediary variable | |
CAPEX | Cash paid for the acquisition and construction of fixed assets, intangible assets and other long-term assets divided by total assets |
Moderating variable | |
SA | The SA index, which equals the absolute value of (−0.737size + 0.043size2 – 0.04age) |
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APA Style
Li, X., Zhu, X., Sha, N., Li, F. (2026). Social Status and Corporate Cash Holdings: Evidence from China. International Journal of Economics, Finance and Management Sciences, 14(5), 415-430. https://doi.org/10.11648/j.ijefm.20261405.22
ACS Style
Li, X.; Zhu, X.; Sha, N.; Li, F. Social Status and Corporate Cash Holdings: Evidence from China. Int. J. Econ. Finance Manag. Sci. 2026, 14(5), 415-430. doi: 10.11648/j.ijefm.20261405.22
AMA Style
Li X, Zhu X, Sha N, Li F. Social Status and Corporate Cash Holdings: Evidence from China. Int J Econ Finance Manag Sci. 2026;14(5):415-430. doi: 10.11648/j.ijefm.20261405.22
@article{10.11648/j.ijefm.20261405.22,
author = {Xinli Li and Xinran Zhu and Ni Sha and Fangfang Li},
title = {Social Status and Corporate Cash Holdings: Evidence from China},
journal = {International Journal of Economics, Finance and Management Sciences},
volume = {14},
number = {5},
pages = {415-430},
doi = {10.11648/j.ijefm.20261405.22},
url = {https://doi.org/10.11648/j.ijefm.20261405.22},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20261405.22},
abstract = {This study investigates whether corporate social status shapes cash-holding decisions and through which channels this effect occurs. Using 11,266 firm-year observations for Chinese A-share listed companies from 2007 to 2024, corporate social status is measured as a market-recognition signal based on analyst attention, and its relationship with cash holdings is examined under year and industry fixed effects. The results show that higher social status is significantly associated with lower corporate cash holdings. This finding remains robust after addressing potential sample-selection bias with a Heckman two-stage model, redefining both cash holdings and social status, excluding years affected by major financial events, and applying alternative model specifications. Further analysis reveals important heterogeneity: the negative effect is more pronounced among non-state-owned enterprises and among firms without close bank-firm ties, suggesting that social status is especially valuable when formal institutional support or relationship-based financing is weaker. Mechanism tests show that social status reduces cash holdings partly by increasing capital expenditure, indicating that higher-status firms are more able, or more willing, to convert liquidity reserves into investment. In addition, financial constraints strengthen the relationship between social status and cash holdings, implying that status-based signals are particularly consequential when firms face tighter access to external finance. This study contributes to research on corporate liquidity management by shifting attention from purely economic determinants to the social attributes of firms. It also provides evidence that market-recognized status can function as an informal governance and resource-allocation mechanism in emerging capital markets. The findings offer practical implications for managers, financial institutions, and policymakers: cash-holding policies should be evaluated not only through balance-sheet indicators, but also through the firm's social position, financing environment, ownership structure, and investment opportunities.},
year = {2026}
}
TY - JOUR T1 - Social Status and Corporate Cash Holdings: Evidence from China AU - Xinli Li AU - Xinran Zhu AU - Ni Sha AU - Fangfang Li Y1 - 2026/10/09 PY - 2026 N1 - https://doi.org/10.11648/j.ijefm.20261405.22 DO - 10.11648/j.ijefm.20261405.22 T2 - International Journal of Economics, Finance and Management Sciences JF - International Journal of Economics, Finance and Management Sciences JO - International Journal of Economics, Finance and Management Sciences SP - 415 EP - 430 PB - Science Publishing Group SN - 2326-9561 UR - https://doi.org/10.11648/j.ijefm.20261405.22 AB - This study investigates whether corporate social status shapes cash-holding decisions and through which channels this effect occurs. Using 11,266 firm-year observations for Chinese A-share listed companies from 2007 to 2024, corporate social status is measured as a market-recognition signal based on analyst attention, and its relationship with cash holdings is examined under year and industry fixed effects. The results show that higher social status is significantly associated with lower corporate cash holdings. This finding remains robust after addressing potential sample-selection bias with a Heckman two-stage model, redefining both cash holdings and social status, excluding years affected by major financial events, and applying alternative model specifications. Further analysis reveals important heterogeneity: the negative effect is more pronounced among non-state-owned enterprises and among firms without close bank-firm ties, suggesting that social status is especially valuable when formal institutional support or relationship-based financing is weaker. Mechanism tests show that social status reduces cash holdings partly by increasing capital expenditure, indicating that higher-status firms are more able, or more willing, to convert liquidity reserves into investment. In addition, financial constraints strengthen the relationship between social status and cash holdings, implying that status-based signals are particularly consequential when firms face tighter access to external finance. This study contributes to research on corporate liquidity management by shifting attention from purely economic determinants to the social attributes of firms. It also provides evidence that market-recognized status can function as an informal governance and resource-allocation mechanism in emerging capital markets. The findings offer practical implications for managers, financial institutions, and policymakers: cash-holding policies should be evaluated not only through balance-sheet indicators, but also through the firm's social position, financing environment, ownership structure, and investment opportunities. VL - 14 IS - 5 ER -