| Literature DB >> 36092033 |
Hongwei Liao1,2, Dingqing Wang2, Lei Zhu3, Jing Zhao4.
Abstract
How to improve the development quality of state-owned enterprises is of great significance to the economic and social development in the transition period. And promoting the reform of mixed ownership is an important path for state-owned enterprises to achieve high-quality development. Based on the micro-data of China's A-share listed state-owned companies, the paper explores the impact of mixed ownership reform on the high-quality development of state-owned enterprises. It clarifies the importance and moderation of equity reform and the heterogeneity of impact effects from the theoretical mechanism analysis and empirical test. It also analyzes the reasons of inverted U-shape from the perspective of the transmission mechanism of the internal competition atmosphere and non-state-owned capital speculation motivation. It is found that the relationship between equity reform and state-owned enterprises' high-quality development is inverted U-shaped with multi-dimensional heterogeneity. From the analysis of conduction mechanism, on the one hand, the equity reform can enhance the internal competitive atmosphere, stimulate the vitality of enterprises and improve the development quality for state-owned enterprises. On the other hand, it enhances the speculation motivation of enterprises and slows down the high-quality development process.Entities:
Keywords: China; equity reform; high-quality development; inverted U-shaped; state-owned enterprises
Year: 2022 PMID: 36092033 PMCID: PMC9458851 DOI: 10.3389/fpsyg.2022.913672
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Index of high-quality development level of state-owned enterprises in the new era.
| First-level indicators | Second-level indicators | Third-level indicators | Notes |
|---|---|---|---|
| The high-quality development level of state-owned enterprises in the new era. | Becoming stronger | Innovation level | Number of patents authorized |
| Number of green patent licenses | |||
| Total factor productivity | LP semi-parametric calculation ( | ||
| Doing better | Growth | Total assets growth rate | |
| Operating income growth rate | |||
| Production and operation efficiency | Return on net assets | ||
| Total assets profit margin | |||
| Labor efficiency (operating income/employee count) | |||
| Corporate soft power | Net intangible assets | ||
| Corporate social responsibility | The data of corporate social responsibility index are from | ||
| Growing bigger | Scale | Operating income | |
| Net assets per share | |||
| Net profit |
The weight of each principal component after principal component analysis.
| Year | The value of KMO | Principal component contribution rate (%) | Cumulative contribution rate (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |||
| 2013 | 0.637 | 26.26 | 13.32 | 12.57 | 9.67 | 8.65 | 6.64 | 6.33 | 83.44 |
| 2014 | 0.607 | 24.32 | 16.49 | 10.14 | 8.58 | 8.32 | 7.41 | 5.72 | 80.98 |
| 2015 | 0.661 | 24.79 | 14.63 | 12.36 | 9.35 | 8.49 | 6.02 | 5.72 | 81.37 |
| 2016 | 0.657 | 24.22 | 15.09 | 11.93 | 10.12 | 7.93 | 7.09 | 6.17 | 82.55 |
| 2017 | 0.685 | 25.03 | 14.61 | 10.26 | 8.49 | 8.36 | 7.49 | 6.67 | 80.91 |
| 2018 | 0.668 | 25.86 | 16.08 | 10.62 | 8.67 | 7.93 | 6.98 | 6.02 | 82.16 |
The KMO value of each year is greater than 0.6, indicating that the basic index is suitable for principal component analysis.
Descriptive statistics of the related variables.
| VarName | Obs | Mean | Median | SD | Min | Max |
|---|---|---|---|---|---|---|
|
| 5,398 | −0.010 | −0.088 | 0.524 | −1.290 | 2.363 |
|
| 5,206 | 8.486 | 8.391 | 1.074 | 6.062 | 11.044 |
|
| 2,558 | 12.587 | 10.185 | 11.767 | 0.120 | 62.450 |
|
| 5,424 | 0.244 | 0.109 | 0.300 | 0.000 | 1.000 |
|
| 5,424 | 0.187 | 0.081 | 0.239 | 0.000 | 0.957 |
|
| 5,025 | 0.010 | 0.001 | 0.042 | 0.000 | 0.327 |
|
| 5,271 | 1.916 | 1.468 | 1.296 | 0.850 | 8.587 |
|
| 5,406 | 13.228 | 13.210 | 0.673 | 11.520 | 15.135 |
|
| 5,399 | 9.437 | 9.552 | 1.141 | 5.546 | 11.871 |
|
| 5,424 | 2.634 | 2.833 | 0.497 | 1.099 | 3.258 |
|
| 5,424 | 5.163 | 3.153 | 6.315 | 0.000 | 33.889 |
|
| 5,423 | 9.116 | 9.000 | 1.828 | 5.000 | 15.000 |
|
| 5,422 | 0.373 | 0.357 | 0.056 | 0.333 | 0.600 |
|
| 5,424 | 0.933 | 0.000 | 1.467 | 0.000 | 4.000 |
|
| 5,423 | 0.177 | 0.198 | 0.178 | 0.000 | 0.500 |
Baseline regression result.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
|
|
|
|
| |
|
| 0.188 | 0.189 | 0.190 | 0.436 |
| (0.050) | (0.050) | (0.050) | (0.117) | |
|
| −0.285 | |||
| (0.122) | ||||
|
| 0.075 | 0.076 | ||
| (0.009) | (0.009) | |||
|
| −0.049 | −0.058 | ||
| (0.059) | (0.059) | |||
|
| −0.019 | −0.019 | ||
| (0.002) | (0.002) | |||
|
| 0.025 | 0.024 | ||
| (0.007) | (0.007) | |||
|
| 0.106 | 0.110 | ||
| (0.170) | (0.170) | |||
|
| 0.020 | 0.020 | ||
| (0.005) | (0.005) | |||
|
| 0.041 | 0.035 | ||
| (0.054) | (0.054) | |||
|
| −0.055 | −0.056 | −0.834 | −0.822 |
| (0.013) | (0.013) | (0.207) | (0.207) | |
| Enterprise fixed | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | |
|
| 5,398 | 5,398 | 5,371 | 5,371 |
|
| 0.659 | 0.660 | 0.671 | 0.672 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The robustness checks.
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
|
|
|
|
|
| |
|
| 0.491 | 6.318 | 0.322 | ||
| (0.100) | (2.521) | (0.106) | |||
|
| −0.458 | −7.373 | −0.296 | ||
| (0.103) | (2.481) | (0.110) | |||
|
| 0.318 | ||||
| (0.103) | |||||
|
| −0.225 | ||||
| (0.117) | |||||
|
| 0.316 | ||||
| (0.154) | |||||
|
| −0.086 | ||||
| (0.045) | |||||
|
| −1.022 | 22.097 | 6.884 | −0.758 | −1.277 |
| (0.121) | (5.903) | (0.187) | (0.206) | (0.233) | |
|
| YES | YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES | YES |
|
| 0.385 | ||||
| (0.010) | |||||
|
| 0.331 | ||||
| (0.004) | |||||
| Wald test | 244.83 | ||||
|
| 0.919 | 0.939 | 0.671 | 0.689 | |
|
| 5,372 | 2,503 | 5,179 | 5,371 | 4,954 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
Endogeneity test.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
|
|
|
|
| |
|
| 0.482 | 0.478 | 0.478 | 0.466 |
| (0.178) | (0.178) | (0.178) | (0.133) | |
|
| −0.539 | −0.537 | −0.537 | −0.223 |
| (0.175) | (0.175) | (0.175) | (0.127) | |
|
| −0.040 | |||
| (0.017) | ||||
|
| −1.378 | −1.379 | −1.379 | −0.453 |
| (0.112) | (0.112) | (0.112) | (0.266) | |
|
| YES | YES | YES | YES |
|
| 0.256 | 0.256 | 0.256 | |
| [0.613] | [0.613] | [0.613] | ||
|
| 0.355 | |||
|
| 191.638 | |||
| [0.000] | ||||
|
| 1225.72 | |||
|
| 0.078 | 0.078 | 0.078 | 0.708 |
|
| 4,479 | 4,479 | 4,479 | 4,458 |
The values in brackets “( )” are SDs. The values in brackets “[ ]” are the value of .
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The analysis of the temporal heterogeneity.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
|
|
|
|
| |
|
| 0.081 | 0.464 | 0.255 | 0.491 |
| (0.101) | (0.194) | (0.095) | (0.241) | |
|
| −0.540 | −0.251 | ||
| (0.233) | (0.234) | |||
|
| −0.806 | −0.817 | −2.777 | −2.683 |
| (0.375) | (0.374) | (0.689) | (0.695) | |
|
| YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES |
|
| 2,674 | 2,674 | 2,692 | 2,692 |
|
| 0.772 | 0.773 | 0.756 | 0.757 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The analysis of regional heterogeneity.
| The eastern | The central | The western | The north-eastern | The eastern | The central | The western | The north-eastern | |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
| |
|
| 0.199 | 0.198 | 0.278 | 0.391 | 0.394 | 0.120 | 0.335 | 1.120 |
| (0.066) | (0.105) | (0.104) | (0.144) | (0.152) | (0.242) | (0.253) | (0.404) | |
|
| −0.215 | 0.097 | −0.074 | −1.185 | ||||
| (0.151) | (0.268) | (0.299) | (0.414) | |||||
|
| −1.260 | 0.389 | −0.193 | 0.362 | −1.240 | 0.395 | −0.196 | 0.183 |
| (0.252) | (0.474) | (0.524) | (0.889) | (0.252) | (0.474) | (0.525) | (0.878) | |
|
| YES | YES | YES | YES | YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES | YES | YES | YES | YES |
|
| 3,071 | 981 | 1,012 | 307 | 3,071 | 981 | 1,012 | 307 |
|
| 0.696 | 0.618 | 0.534 | 0.547 | 0.696 | 0.618 | 0.534 | 0.562 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The analysis of the industry heterogeneity.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
|
|
|
|
| |
|
| 0.136 | 0.455 | 0.214 | 0.428 |
| (0.080) | (0.187) | (0.064) | (0.149) | |
|
| −0.382 | −0.244 | ||
| (0.203) | (0.154) | |||
|
| −1.444 | −1.411 | −0.518 | −0.516 |
| (0.335) | (0.335) | (0.265) | (0.265) | |
|
| YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES |
|
| 0.679 | 0.679 | 0.669 | 0.670 |
|
| 2050 | 2050 | 3,321 | 3,321 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The analysis of development-level heterogeneity.
| (10%) | (25%) | (50%) | (75%) | (90%) | |
|---|---|---|---|---|---|
|
|
|
|
|
| |
|
| 0.151 | 0.117 | 0.133 | 0.212 | 0.234 |
| (0.032) | (0.020) | (0.019) | (0.038) | (0.065) | |
|
| YES | YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES | YES |
|
| 5,373 | 5,373 | 5,373 | 5,373 | 5,373 |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
The regression result of mediate effect based on internal competition incentive and capital speculation motivation.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
|
|
|
|
| |
|
| 0.129 | 0.205 | 0.396 | 0.203 |
| (0.057) | (0.046) | (0.107) | (0.050) | |
|
| 0.113 | |||
| (0.012) | ||||
|
| −0.026 | |||
| (0.007) | ||||
|
| 13.079 | −1.912 | 1.745 | −0.829 |
| (0.202) | (0.227) | (0.439) | (0.203) | |
|
| YES | YES | YES | YES |
| Enterprise fixed | YES | YES | YES | YES |
| Time fixed | YES | YES | YES | YES |
|
| 5,385 | 5,360 | 5,243 | 5,220 |
|
| 0.828 | 0.623 | 0.763 | 0.689 |
| Sobel test | 0.015 | ( | −0.010 | ( |
The values in brackets are SDs.
Indicates that the estimated coefficients are significant at the confidence levels of 1%.
Indicates that the estimated coefficients are significant at the confidence levels of 5%.
Indicates that the estimated coefficients are significant at the confidence levels of 10%.
| Industry sort | Industry code | Industry name | |
|---|---|---|---|
| Public welfare state-owned enterprises | B06–B09 | B06: Coal mining and washing industry. | |
| C25, C31–C32, C34, C37 | C25: Petroleum processing, coking, and nuclear fuel processing industry; | ||
| D44–D46 | D44: Power and heat production and supply industry; | ||
| E48 | E48: Civil Engineering construction industry | ||
| G53–G55, G58–G59 | G53: Railway transportation industry; | ||
| I63 | I63: Telecommunications, radio and television, and satellite transmission services | ||
| N77–N78 | N77: Ecological protection and environmental governance industry; | ||
| P82 | P82: Education | ||
| R85–R86 | R85: Journalism and publishing industry; | ||
| S90 | S90: Comprehensive | ||
| Commercial state-owned enterprises | A01–A05 | A01: Agriculture; | |
| B11 | B11: Mining auxiliary activities | ||
| C13–C15, C17–C18, C20, C22–C24, C26–C30, C33, C35–C36, C38–C40, C42 | C13: Agricultural and sideline food processing industry; | ||
| E47, E49–E50 | E47: Housing and construction industry; | ||
| F51–F52 | F51: Wholesale industry; | ||
| G56 | G56: Air transport industry | ||
| H61–H62 | H61: Accommodation industry; | ||
| I64–I65 | I64: The Internet and related services; | ||
| K70 | K70: Real estate industry | ||
| L71–L72 | L71: Leasing industry; | ||
| M74–M75 | M74: Professional technology services industry; | ||
| R88 | R88: Sports |