Corporate governance vs management of the intellectual capital of banks: Structural equation modeling (SEM)
| Dec 31, 2019
About this article
Article Category: Empirical Paper
Published Online: Dec 31, 2019
Page range: 319 - 330
Received: Jul 12, 2018
Accepted: Aug 06, 2019
DOI: https://doi.org/10.2478/ijme-2019-0022
Keywords
© 2019 Marlena Smuda-Kocoń, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Figure 1
Figure 2
Selected estimates of intellectual capital efficiency and features of corporate governance for the causal model for the period I Q 2017–IV Q 2017
| I Q 2017 | 6,260,680 | 216,103 | 39,563 | 71,598,515 | 395,524 | 1.8302 | 0.4536 | 2.3470 | 11 | 1 | 2 | 11 | |
| II Q 2017 | 6,381,018 | 197,108 | 81,216 | 71,975,471 | 421,350 | 2.1376 | 0.5322 | 2.7358 | 11 | 1 | 2 | 11 | |
| III Q 2017 | 6,472,556 | 210,200 | 109,790 | 71,900,179 | 467,083 | 2.2220 | 0.5500 | 2.8442 | 11 | 1 | 2 | 11 | |
| IV Q 2017 | 6,559,463 | 208,594 | 49,138 | 72,749,259 | 381,863 | 1.8306 | 0.4537 | 2.3426 | 11 | 1 | 2 | 11 | |
| I Q 2017 | 6,311,701 | 265,971 | 82,361 | 60,419,868 | 476,898 | 1.7930 | 0.4423 | 2.3108 | 7 | 0 | 1 | 7 | |
| II Q 2017 | 6,388,139 | 267,229 | 99,761 | 61,837,078 | 427,688 | 1.6004 | 0.3752 | 2.0425 | 7 | 0 | 1 | 7 | |
| III Q 2017 | 6,606,503 | 206,243 | 178,175 | 68,039,212 | 573,320 | 2.7798 | 0.6403 | 3.5068 | 7 | 0 | 1 | 7 | |
| IV Q 2017 | 6,760,527 | 275,673 | 175,180 | 69,493,780 | 612,231 | 2.2208 | 0.5497 | 2.8611 | 7 | 0 | 1 | 7 | |
| I Q 2017 | 684,860 | 132,602 | 42,656 | 44,762,276 | 227,312 | 1.7142 | 0.4167 | 2.4628 | 12 | 1 | 7 | 12 | |
| II Q 2017 | 6,482,825 | 101,605 | 157,983 | 44,592,483 | 322,811 | 3.1771 | 0.6852 | 3.9121 | 12 | 1 | 7 | 12 | |
| III Q 2017 | 6,706,322 | 127,318 | 171,566 | 44,228,329 | 367,433 | 2.8859 | 0.6535 | 3.5942 | 12 | 1 | 7 | 12 | |
| IV Q 2017 | 6,938,883 | 154,838 | 163,361 | 43,037,596 | 383,279 | 2.4753 | 0.5960 | 3.1266 | 12 | 1 | 7 | 12 | |
| I Q 2017 | 10,787,300 | 251,000 | 300,200 | 118,850,500 | 790,300 | 3.1486 | 0.6824 | 3.9042 | 7 | 3 | 3 | 7 | |
| II Q 2017 | 11,154,100 | 248,100 | 360,400 | 120,197,600 | 849,400 | 3.4236 | 0.7079 | 4.2076 | 7 | 3 | 3 | 7 | |
| III Q 2017 | 11,486,200 | 260,600 | 375,700 | 122,290,000 | 881,400 | 3.3821 | 0.7043 | 4.1632 | 7 | 3 | 3 | 7 | |
| IV Q 2017 | 11,794,800 | 263,500 | 366,800 | 126,013,900 | 896,500 | 3.4022 | 0.7061 | 4.1843 | 7 | 3 | 3 | 7 | |
| I Q 2017 | 33,349,000 | 735,000 | 525,000 | 288,516,000 | 1,962,000 | 2.6693 | 0.6254 | 3.3536 | 10 | 2 | 7 | 10 | |
| II Q 2017 | 34,352,000 | 581,000 | 857,000 | 286,389,000 | 2,154,000 | 3.7074 | 0.7303 | 4.5003 | 10 | 2 | 7 | 10 | |
| III Q 2017 | 35,352,000 | 664,000 | 902,000 | 289,961,000 | 2,302,000 | 3.4668 | 0.7116 | 4.2435 | 10 | 2 | 7 | 10 | |
| IV Q 2017 | 36,267,000 | 660,000 | 820,000 | 296,912,000 | 2,225,000 | 3.3712 | 0.7034 | 4.1359 | 10 | 2 | 7 | 10 | |