The effect of bank m&As on efficiency: the portuguese experience victor Mendes


Table 2 – Inefficiency estimates: summary results



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Table 2 – Inefficiency estimates: summary results





Average

Min

Max

C. Variation

INEFI: DEA

0.373

0.000

1.801

58

INEFI: SFA-T

0.182

0.048

0.698

93

INEFI: SFA-E

0.098

0.004

0.321

94

The Pearson correlation coefficients between these indices are:


- INEFI: DEA/INEFI: SFA-T: 0.669

- INEFI: DEA/INEFI: SFA-E: 0.243

- INEFI: SFA-E/INEFI: SFA-T: 0.208
The three correlation coefficients are significant at the 5% level, hence suggesting consistent results from these methods. As expected, inefficiency indices computed from the DEA method are the highest and INEFI: SFA-E the lowest, allowing us to conclude that, on average, the efficiency lower bound is 63%. That is, if all banks were able to use the best practice technology, there could be (maximum) savings of around 37% of observed costs.

Table 3 contains inefficiency breakdown by type of organization. Results show that if a bank is member of a group then it is more cost efficient. They also show that foreign banks are more cost efficient5. On the contrary, results for the age of the institution are not consistent across methods. Old banks (in the market before 1990) show higher inefficiency levels for the DEA and SFA-E methods, but lower for the SFA-T method. As for the structure of property, government-owned institutions are not very efficient: on average, inefficiency represents something in the vicinity of 21-44% of costs. But privatized banks are more efficient than public institutions thus suggesting improved efficiency scores after reprivatization.



Table 3: Cost inefficiency, by type of organization




DEA

SFA-T

SFA-E

Private banks

0.388

0.178

0.045

Privatized banks

Government-owned banks



0.295

0.440


0.172

0.209


0.126

0.217


New bank

Old bank


0.367

0.375


0.206

0.176


0.062

0.109


Foreign bank

Domestic bank



0.336

0.392


0.161

0.193


0.005

0.145


Member of a bank group

Non-member of a bank group



0.234

0.453


0.167

0.192


0.098

0.098

Off all the existing government-owned banks6, only 2 still remain in public hands: the Caixa Geral de Depósitos (CGD) and the Banco Nacional Ultramarino (BNU). The reprivatization process took off in 1989 with the Banco Totta & Açores (see annex 1). The last two banks to be privatized were the BFE (3rd phase in 7February1997) and BCA (2nd phase in 9December1996). These reprivatized banks constitute the bulk of the acquisitions that occurred in the nineties and are the ones analyzed in this paper.

Table 4 shows inefficiency scores on an annual basis for privatized banks. Results for BANIF, BCA, BESCL and BFB are consistent for the three methods, suggesting increasing efficiency after privatization. As regards the other privatized banks (BFE, BPA, BPSM, CPP and UBP), the evidence is not convincing: when we use the SFA method with endogenous inefficiency (SFA-E) there seems to be a clear efficiency increase, but that is not the case for the other two methods.



We may therefore conclude that in general cost efficiency levels improved after privatization, hence suggesting better cost controls and input rationalization in the aftermath of the control change.

Table 4: Inefficiency scores for privatized banks

BANIF


1990

1991

1992

1993

1994

1995

1996

1997










23.11.92
















DEA

0.795

0.513

0.608

0.767

0.493

0.456

0.460

0.497

SFA-T

0.257

0.178

0.179

0.234

0.207

0.172

0.152

0.157

SFA-E

0.302

0.302

0.295

0.268

0.008

0.007

0.259

0.115



BCA


1990

1991

1992

1993

1994

1995

1996

1997






















2.7,9.12




DEA

1.611

1.538

1.208

1.674

1.155

0.988

1.062

1.247

SFA-T

0.663

0.547

0.416

0.571

0.362

0.345

0.288

0.318

SFA-E

0.286

0.284

0.285

0.273

0.278

0.273

0.271

0.107



BESCL

1990

1991

1992

1993

1994

1995

1996

1997







9.7.91

25.2.92
















DEA

0.297

0.471

0.190

0.185

0.166

0.145

0.089

0.000

SFA-T

0.164

0.200

0.121

0.188

0.108

0.102

0.110

0.110

SFA-E

0.304

0.296

0.137

0.128

0.131

0.127

0.122

0.118



BFB

1990

1991

1992

1993

1994

1995

1996

1997







27.8.91

20.7.92
















DEA

0.736

0.490

0.429

0.565

0.377

0.305

0.044

0.111

SFA-T

0.274

0.202

0.225

0.285

0.176

0.149

0.120

0.159

SFA-E

0.299

0.299

0.131

0.124

0.127

0.124

0.122

0.115



BFE

1990

1991

1992

1993

1994

1995

1996

1997
















27.12.94




28.8.96

7.2.97

DEA

0.054

0.178

0.028

0.157

0.105

0.117

0.072

0.145

SFA-T

0.065

0.083

0.063

0.109

0.087

0.119

0.106

0.104

SFA-E

0.321

0.166

0.166

0.154

0.152

0.127

0.113

0.121



BPA

1990

1991

1992

1993

1994

1995

1996

1997




11.12.90




25.5.92

7.7.93




24.3.95







DEA

0.235

0.314

0.052

0.000

0.000

0.033

0.000

0.016

SFA-T

0.134

0.169

0.085

0.130

0.089

0.114

0.120

0.133

SFA-E

0.307

0.155

0.159

0.150

0.133

0.127

0.122

0.117



BPSM

1990

1991

1992

1993

1994

1995

1996

1997
















16.11.94

28.3.95







DEA

0.000

0.091

0.376

0.570

0.307

0.091

0.145

0.032

SFA-T

0.175

0.154

0.159

0.261

0.204

0.236

0.241

0.277

SFA-E

0.302

0.300

0.296

0.283

0.181

0.118

0.114

0.109



CPP

1990

1991

1992

1993

1994

1995

1996

1997










2.12.92
















DEA

0.647

0.565

0.420

0.639

0.355

0.353

0.294

0.300

SFA-T

0.215

0.230

0.176

0.256

0.122

0.126

0.125

0.162

SFA-E

0.301

0.295

0.293

0.124

0.129

0.126

0.121

0.114



UBP

1990

1991

1992

1993

1994

1995

1996

1997













3.2.93




11.7.95







DEA

0.721

0.497

0.416

0.972

0.479

0.513

0.506

0.404

SFA-T

0.283

0.215

0.202

0.444

0.205

0.191

0.207

0.268

SFA-E

0.298

0.297

0.148

0.118

0.125

0.121

0.115

0.108


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