Level of agreement
Proportion | |
Totally disagree | 3% |
Disagree | 1% |
Disturbed | 9% |
Agree | 56% |
Totally agree | 31% |
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Mergers and Acquisitions of Vietnamese Commercial Banks - 4 -
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Question 5: Will you prioritize using this bank's services even if you receive a recommendation for another bank?
Level of agreement
Proportion | |
Totally disagree | 4% |
Disagree | 7% |
Disturbed | 17% |
Agree | 33% |
Totally agree | 39% |
Question 6: If you have additional needs for financial services, you will consider this bank as your first choice.
Level of agreement
Proportion | |
Totally disagree | 2% |
Disagree | 5% |
Disturbed | 15% |
Agree | 31% |
Totally agree | 47% |
APPENDIX 6: RESEARCH DATA STATISTICS TABLE
Unit: million VND
Time
Year 2010 | |||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 4710636 | 349937 | 911901 | 447284 |
2 | LPB | 4106392 | 482180 | 355924 | 758900 |
3 | SHB | 4183214 | 279833 | 1526154 | 656733 |
4 | HDB | 2357636 | 162462 | 256043 | 350732 |
5 | BIDV | 24219730 | 3076075 | 3496768 | 4625568 |
6 | STB | 14018317 | 1883135 | 3135519 | 2560442 |
7 | MSB | 6327589 | 418307 | 615381 | 1518188 |
8 | VTB | 18200546 | 7184002 | 3302346 | 4638282 |
Time | 2011 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 11334503 | 358782 | 2196888 | 530066 |
2 | LPB | 6594001 | 732920 | 601242 | 1086281 |
3 | SHB | 5830868 | 1076649 | 2554983 | 1000962 |
4 | HDB | 3547361 | 267297 | 327505 | 565976 |
5 | BIDV | 24390455 | 3774786 | 3640938 | 4219873 |
6 | STB | 14546883 | 2859254 | 3707863 | 2770674 |
7 | MSB | 9499881 | 578456 | 724903 | 1036595 |
8 | VTB | 28490896 | 8339552 | 3746217 | 8392021 |
Time | 2012 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1
SCB | 11370065 | 693078 | 2589928 | 77199 | |
2 | LPB | 7391002 | 926799 | 747476 | 967685 |
3 | SHB | 9506050 | 1479432 | 4127127 | 1825203 |
4 | HDB | 5393746 | 301888 | 311834 | 427150 |
5 | BIDV | 26494446 | 2283857 | 4228999 | 3389918 |
6 | STB | 13698739 | 4242313 | 5218768 | 1367851 |
7 | MSB | 9090031 | 1211,763 | 900846 | 255392 |
8 | VTB | 33624531 | 9922,929 | 5276653 | 8167900 |
Time | 2013 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 13112557 | 627669 | 2965329 | 59781 |
2 | LPB | 7271275 | 1104653 | 809898 | 664402 |
3 | SHB | 10355697 | 1538331 | 4151534 | 1000048 |
4 | HDB | 8104685 | 936228 | 590246 | 240453 |
5 | BIDV | 32039983 | 4026930 | 5201097 | 5289956 |
6 | STB | 17063718 | 2246196 | 5306520 | 2960648 |
7 | MSB | 9412546 | 934485 | 847478 | 401236 |
8 | VTB | 54074666 | 8910917 | 372988742 | 7750622 |
Time | 2014 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 13185291 | 825503 | 3172068 | 119143 |
2 | LPB | 7391097 | 1236852 | 1081018 | 535168 |
3 | SHB | 8962251 | 1489629 | 4105750 | 1012348 |
4 | HDB | 8104685 | 1731195 | 527398 | 622216 |
5 | BIDV | 33606199 | 4919584 | 6672040 | 6297033 |
6
STB | 18063197 | 2577294 | 5198975 | 2826287 | |
7 | MSB | 9445683 | 585053 | 761082 | 162024 |
8 | VTB | 55259104 | 9151469 | 8894803 | 7303461 |
Time | 2015 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 15452108 | 983025 | 3965939 | 110806 |
2 | LPB | 7600520 | 1418201 | 1172472 | 421937 |
3 | SHB | 9582401 | 1937545 | 4056266 | 1017054 |
4 | HDB | 9841679 | 2188303 | 805214 | 788434 |
5 | BIDV | 42335460 | 6255652 | 8535310 | 7948656 |
6 | STB | 22080495 | 2858094 | 7967719 | 878155 |
7 | MSB | 13616249 | 776687 | 823094 | 158032 |
8 | VTB | 56110146 | 9951632 | 8665767 | 7345441 |
Time | 2016 | ||||
STT | NH | Input variables | Output variable | ||
VCSH | SALARY | Fixed assets | Profit after tax | ||
1 | SCB | 15461408 | 1135476 | 1255165 | 135977 |
2 | LPB | 8331885 | 1868459 | 4083136 | 1347858 |
3 | SHB | 13231573 | 2385383 | 3962052 | 1156439 |
4 | HDB | 9942643 | 3066362 | 1351960 | 1147633 |
5 | BIDV | 44144249 | 7428666 | 9721944 | 7708611 |
6 | STB | 22191934 | 3110710 | 7949366 | 155591 |
7 | MSB | 13599986 | 1379260 | 648564 | 164031 |
8 | VTB | 603399403 | 11243918 | 10615318 | 8569482 |
(Source: Financial reports of 8 commercial banks from 2010-2016)
APPENDIX 7: RESULTS OF MEASURING THE EFFICIENCY OF COMMERCIAL BANKS IMPLEMENTING M&A ON DEAP 2.1 SOFTWARE
2010
**************************** Results from DEAP Version 2.1 by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa Project: Nouveau projet
Model 1: First model Input orientated DEA Scale assumption: VRS
Slacks calculated using multi-stage method EFFICIENCY SUMMARY:
firm crste vrste scale
SCB 0.395 0.570 0.693 irs
LPB 0.864 1.000 0.864 irs
SHB 0.654 0.820 0.798 irs
HDB 0.620 1.000 0.620 irs
BIDV 0.787 1.000 0.787 drs
STB 0.752 0.849 0.885 drs
MSB 1,000 1,000 1,000 ‐
VTB 1,000 1,000 1,000 ‐
mean 0.759 0.905 0.831
Note: crste = technical efficiency from CRS DEA vrste = technical efficiency from VRS DEA scale = scale efficiency = crste/vrste
Note also that all subsequent tables refer to VRS results
2011
Results from DEAP Version 2.1
***************************** by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa Project: Nouveau projet
Model 1: First model Input orientated DEA
Scale assumption: VRS
Slacks calculated using multi-stage method EFFICIENCY SUMMARY:
firm crste vrste scale
SCB 0.698 0.745 0.937 irs
LPB 0.964 1.000 0.964 drs
SHB 0.755 0.846 0.892 irs
HDB 1,000 1,000 1,000 ‐
BIDV 0.828 1.000 0.828 drs
STB 0.811 0.860 0.944 drs
MSB 0.846 1.000 0.846 drs
VTB 1,000 1,000 1,000 ‐
mean 0.863 0.931 0.926
Note: crste = technical efficiency from CRS DEA vrste = technical efficiency from VRS DEA scale = scale efficiency = crste/vrste
Note also that all subsequent tables refer to VRS results
2012
Results from DEAP Version 2.1
***************************** by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa Project: Nouveau projet
Model 1: First model Input orientated DEA Scale assumption: VRS
Slacks calculated using multi-stage method EFFICIENCY SUMMARY:
firm crste vrste scale
SCB 0.075 0.474 0.158 irs
LPB 0.997 1.000 0.997 irs
SHB 1,000 1,000 1,000 ‐
HDB 1,000 1,000 1,000 ‐
BIDV 1,000 1,000 1,000 ‐
STB 0.411 0.596 0.690 irs
MSB 0.208 0.593 0.351 irs
VTB 1,000 1,000 1,000 ‐
mean 0.711 0.833 0.775
Note: crste = technical efficiency from CRS DEA vrste = technical efficiency from VRS DEA scale = scale efficiency = crste/vrste
Note also that all subsequent tables refer to VRS results
2013
Results from DEAP Version 2.1
***************************** by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa Project: Nouveau projet
Model 1: First model Input orientated DEA Scale assumption: VRS
Slacks calculated using multi-stage method EFFICIENCY SUMMARY:
firm crste vrste scale
SCB 0.072 1.000 0.072 irs
LPB 0.807 1.000 0.807 irs
SHB 0.557 0.840 0.662 irs
HDB 0.401 1.000 0.401 irs
BIDV 1,000 1,000 1,000 ‐
STB 1,000 1,000 1,000 ‐
MSB 0.465 1.000 0.465 irs
VTB 0.826 1.000 0.826 drs
mean 0.641 0.980 0.654
Note: crste = technical efficiency from CRS DEA
vrste = technical efficiency from VRS DEA scale = scale efficiency = crste/vrste
Note also that all subsequent tables refer to VRS results
2014
Results from DEAP Version 2.1
***************************** by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa
Project: Nouveau projet Model 1: First model Input orientated DEA Scale assumption: VRS
Slacks calculated using multi-stage method EFFICIENCY SUMMARY:
firm crste vrste scale
SCB 0.113 0.715 0.158 irs
LPB 0.504 1.000 0.504 irs
SHB 0.603 1.000 0.603 irs
HDB 1,000 1,000 1,000 ‐
BIDV 1,000 1,000 1,000 ‐
STB 0.857 0.999 0.858 irs
MSB 0.225 1.000 0.225 irs
VTB 0.846 1.000 0.846 drs
mean 0.643 0.964 0.649
Note: crste = technical efficiency from CRS DEA vrste = technical efficiency from VRS DEA scale = scale efficiency = crste/vrste
2015
Results from DEAP Version 2.1
***************************** by Tim Coelli, CEPA
http://www.uq.edu.au/economics/cepa





