Mở rộng tín dụng ngân hàng để phát triển bền vững cây công nghiệp dài ngày của các ngân hàng thương mại trên địa bàn tỉnh Bình Dương - 18

-Thang đo năng lực phát triển sản phẩm mới


Reliability Statistics

Cronbach's Alpha


N of Items

.606

3

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Mở rộng tín dụng ngân hàng để phát triển bền vững cây công nghiệp dài ngày của các ngân hàng thương mại trên địa bàn tỉnh Bình Dương - 18


Item-Total Statistics



Scale Mean if Item Deleted


Scale Variance if Item Deleted

Corrected Item-

Total Correlation

Cronbach's

Alpha if Item Deleted

SP1

6.98062

1.926

.493

.392

SP2

7.01938

1.949

.468

.428

SP3

7.21705

2.171

.297

.678


-Thang đo năng lực công nghệ


Reliability Statistics

Cronbach's Alpha


N of Items

.830

5


Item-Total Statistics



Scale Mean if Item Deleted


Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

CN3

15.55814

3.967

.371

.884

CN4

15.68217

3.899

.402

.874

CN1

15.39147

3.741

.837

.752

CN5

15.37209

3.542

.900

.730

CN2

15.37597

3.520

.907

.727


-Thang đo năng lực phát triển mạng lưới


Reliability Statistics

Cronbach's Alpha


N of Items

.743

3

Item-Total Statistics



Scale Mean if Item Deleted


Scale Variance if Item Deleted

Corrected Item- Total Correlation

Cronbach's Alpha if Item Deleted

ML1

7.66279

2.255

.644

.580

ML2

7.69380

2.330

.428

.833

ML3

7.77519

2.074

.662

.546


-Thang đo mở rộng tín dụng


Reliability Statistics

Cronbach's Alpha


N of Items

.867

3


Item-Total Statistics



Scale Mean if Item Deleted


Scale Variance if Item Deleted

Corrected Item-

Total Correlation

Cronbach's

Alpha if Item Deleted

MR1

8.08

1.398

.760

.802

MR2

8.11

1.475

.766

.796

MR3

8.03

1.536

.716

.841


-Phân tích nhân tố khám phá (EFA)


KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.795

Bartlett's Test of Sphericity Approx. Chi-Square

9522.599

df

990

Sig.

.000


Total Variance Explained


Component


Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings


Total

% of

Variance

Cumulative

%


Total

% of

Variance

Cumulative

%


Total

% of

Variance

Cumulative

%

1


8.172


18.160


18.160


8.172


18.160


18.160


6.085


13.523


13.523

2


6.685


14.856


33.015


6.685


14.856


33.015


5.557


12.348


25.871

3


3.486


7.747


40.763


3.486


7.747


40.763


3.769


8.376


34.247


3.360


7.467


48.230


3.360


7.467


48.230


3.486


7.747


41.994

5


2.576


5.724


53.953


2.576


5.724


53.953


2.914


6.476


48.470

6


2.157


4.793


58.746


2.157


4.793


58.746


2.912


6.471


54.941

7


1.688


3.752


62.498


1.688


3.752


62.498


2.124


4.720


59.661

8


1.549


3.442


65.939


1.549


3.442


65.939


2.067


4.593


64.254

9


1.398


3.107


69.047


1.398


3.107


69.047


1.791


3.980


68.233

10


1.199


2.664


71.711


1.199


2.664


71.711


1.399


3.110


71.343

11


1.068


2.373


74.083


1.068


2.373


74.083


1.233


2.740


74.083

12

.964

2.143

76.226







13

.889

1.975

78.201







14

.801

1.780

79.982







15

.731

1.624

81.605







16

.694

1.543

83.149







17

.623

1.385

84.534







18

.572

1.270

85.804







19

.529

1.176

86.980







20

.474

1.054

88.034







21

.444

.988

89.022







22

.416

.924

89.946







23

.398

.885

90.831







24

.366

.814

91.644







25

.351

.779

92.423







26

.337

.749

93.172







27

.316

.701

93.873







28

.299

.664

94.537







29

.256

.568

95.106







30

.245

.545

95.650







31

.236

.524

96.174







32

.210

.467

96.641







33

.204

.452

97.093







34

.182

.405

97.498







35

.177

.394

97.893







36

.164

.365

98.257







37

.158

.352

98.609







38

.143

.317

98.926







4

.134

.298

99.225







40

.119

.265

99.489

41

.087

.193

99.683

42

.064

.143

99.826

43

.045

.101

99.927

44

.028

.061

99.988

45

.005

.012

100.000

39

Extraction Method: Principal Component Analysis.


Rotated Component Matrixa


Component

1

2

3

4

5

6

7

8

9

10

11

MA1

.922











MA3

.890






MA2

.863






MA5

.840






MA4

.829






MA6

.786






DV4

.673






MA7

.589






QT2


.786





QT7


.785





QT5


.759





NL3


.741





NL2


.733





QT4


.730





QT1


.715





QT3


.686





QT6


.610





TC4



.891




TC2



.863




TC1



.821




TC3



.671




NL1



.580




CN5




.941



CN2




.940



CN1




.929



CN4




.553



LS2





.902


LS3





.879


LS4





.863


LS1







DV2






.872






.836






DV5

.759





DV1

.627





ML1


.822




ML3


.805




CN3






TH1



.861



TH3



.804



TH2



.649



SP2




.781


SP1




.760


ML2






DV3





.650

TC5






DV6

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 8 iterations.

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.734

Bartlett's Test of Sphericity Approx. Chi-Square

375.369

df

3

Sig.

.000

Total Variance Explained


Component

Initial

Eigenvalues

Extraction Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

2.372

79.081

79.081

2.372

79.081

79.081

2

.354

11.812

90.893




3

.273

9.107

100.000




Extraction Method: Principal Component Analysis.


Component Matrixa

Component

1

MR2

MR1 MR3

.899

.897

.871

Extraction Method: Principal Component Analysis.

a. 1 components extracted.

PHỤ LỤC 6

KẾT QUẢ PHÂN TÍCH NĂNG LỰC HOẠT ĐỘNG CỦA NGÂN HÀNG THƯƠNG MẠI TẠI BÌNH DƯƠNG ĐỂ MỞ RỘNG TÍN DỤNG PHÁT TRIỂN CÂY CÔNG NGHIỆP DÀI NGÀY


Variables Entered/Removeda


Model

Variables Entered

Variables Removed


Method

1

REGR factor score 9 for

analysis 1, REGR factor score 8 for

analysis 1, REGR factor score 7 for

analysis 1, REGR factor score 6 for

analysis 1, REGR factor score 5 for

analysis 1, REGR factor score 4 for

analysis 1, REGR factor score 3 for

analysis 1, REGR factor score 2 for

analysis 1, REGR factor score 1 for

analysis 1b


.


Enter

a. Dependent Variable: REGR factor score 1 for analysis

b. All requested variables entered.


Model Summaryb


Model


R


R

Square


Adjusted R

Square


Std. Error

of the Estimate

Change Statistics


Durbin- Watson

R

Square Change


F

Change


df1


df2


Sig. F Change

1

.845a

.714

.703

.54484785

.714

68.637

9

248

.000

1.871

a. Predictors: (Constant), REGR factor score 9 for analysis 1, REGR factor score 8 for analysis 1, REGR factor score 7 for analysis 1, REGR factor score 6 for analysis 1, REGR factor score 5 for analysis 1, REGR factor score 4 for analysis 1, REGR factor score 3 for analysis 1, REGR factor score 2 for analysis 1, REGR factor score 1 for analysis 1

b. Dependent Variable: REGR factor score 1 for analysis 2


ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

183.379

9

20.375

68.637

.000b


Residual

73.621

248

.297




Total

257.000

257




a. Dependent Variable: REGR factor score 1 for analysis 2

b. Predictors: (Constant), REGR factor score 9 for analysis 1, REGR factor score 8 for analysis 1, REGR factor score 7 for analysis 1, REGR factor score 6 for analysis 1, REGR factor score 5 for analysis 1, REGR factor score 4 for analysis 1, REGR factor score 3 for analysis 1, REGR factor score 2 for analysis 1, REGR factor score 1 for analysis 1


Coefficientsa


Model

Unstandardized Coefficients

Standardized Coefficients


t


Sig.


Correlations

Collinearity Statistics


B

Std.

Error


Beta

Zero-

order


Partial


Part


Tolerance


VIF

1 (Constant)


REGR

factor score 1 for

analysis 1 REGR

factor score

2 for

analysis 1


-2.652E-

17


.422


.408


.034


.034


.034


.422


.408


.000


12.426


11.995


1.000


.000


.000


.422


.408


.619


.606


.422


.408


1.000


1.000


1.000


1.000











factor score

3 for


.374


.034


.374


10.990


.000


.374


.572


.374


1.000


1.000

analysis 1











REGR











factor score

4 for


.395


.034


.395


11.618


.000


.395


.594


.395


1.000


1.000

analysis 1











REGR











factor score

5 for


.145


.034


.145


4.258


.000


.145


.261


.145


1.000


1.000

analysis 1











REGR











factor score

6 for


.115


.034


.115


3.393


.001


.115


.211


.115


1.000


1.000

analysis 1











REGR











factor score

7 for


.141


.034


.141


4.146


.000


.141


.255


.141


1.000


1.000

analysis 1











REGR











factor score

8 for


.102


.034


.102


2.988


.003


.102


.186


.102


1.000


1.000

analysis 1











REGR











factor score

9 for


.096


.034


.096


2.819


.005


.096


.176


.096


1.000


1.000

analysis 1











REGR

a. Dependent Variable: REGR factor score 1 for analysis 2

Variables Entered/Removeda


Model

Variables Entered

Variables Removed


Method

1

REGR factor score 9 for

analysis 1, REGR factor score 8 for

analysis 1, REGR factor score 7 for

analysis 1, REGR factor score 6 for

analysis 1, REGR factor score 5 for

analysis 1, REGR factor score 4 for

analysis 1, REGR factor score 3 for

analysis 1, REGR factor score 2 for

analysis 1, REGR factor score 1 for

analysis 1b


.


Enter

a. Dependent Variable: resid2

b. All requested variables entered.


Model Summaryb


Model


R


R

Square


Adjusted R

Square

Std. Error of the

Estimate

Change Statistics


Durbin- Watson

R

Square Change


F

Change


df1


df2


Sig. F Change

1

.228a

.052

.018

.35580

.052

1.514

9

248

.143

1.936

a. Predictors: (Constant), REGR factor score 9 for analysis 1, REGR factor score 8 for analysis 1, REGR factor score 7 for analysis 1, REGR factor score 6 for analysis 1, REGR factor score 5 for analysis 1, REGR factor score 4 for analysis 1, REGR factor score 3 for analysis 1, REGR factor score 2 for analysis 1, REGR factor score 1 for analysis 1

b. Dependent Variable: resid2


ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

1.725

9

.192

1.514

.143b


Residual

31.395

248

.127




Total

33.121

257




a. Dependent Variable: resid2

b. Predictors: (Constant), REGR factor score 9 for analysis 1, REGR factor score 8 for analysis 1, REGR factor score 7 for analysis 1, REGR factor score 6 for analysis 1, REGR factor score 5 for analysis 1, REGR factor score 4 for analysis 1, REGR factor score 3 for analysis 1, REGR factor score 2 for analysis 1, REGR factor score 1 for analysis 1


Coefficientsa


Model

Unstandardized Coefficients

Standardized Coefficients


t


Sig.


Correlations

Collinearity Statistics


B

Std. Error


Beta

Zero- order


Partial


Part


Tolerance


VIF

1

(Constant)

.285

.022


12.882

.000







REGR factor












score 1 for

.007

.022

.021

.333

.740

.021

.021

.021

1.000

1.000


analysis 1












REGR factor












score 2 for

-.051

.022

-.142

-2.304

.022

-.142

-.145

-.142

1.000

1.000


analysis 1












REGR factor












score 3 for

-.012

.022

-.034

-.547

.585

-.034

-.035

-.034

1.000

1.000


analysis 1












REGR factor












score 4 for

.008

.022

.024

.383

.702

.024

.024

.024

1.000

1.000


analysis 1












REGR factor












score 5 for

.016

.022

.043

.703

.483

.043

.045

.043

1.000

1.000


analysis 1












REGR factor












score 6 for

.013

.022

.035

.573

.567

.035

.036

.035

1.000

1.000


analysis 1












REGR factor












score 7 for

.029

.022

.082

1.324

.187

.082

.084

.082

1.000

1.000


analysis 1





















score 8 for

.039

.022

.109

1.765

.079

.109

.111

.109

1.000

1.000

analysis 1











REGR factor











score 9 for

.032

.022

.089

1.440

.151

.089

.091

.089

1.000

1.000

analysis 1











REGR factor

a. Dependent Variable: resid2


Mô hình Logit

PHỤ LỤC 7 KẾT QUẢ HỒI QUY


Dependent Variable: Y

Method: ML - Binary Logit (Quadratic hill climbing) Date: 03/05/16 Time: 20:16

Sample: 1 311

Included observations: 311 Convergence achieved after 5 iterations

Covariance matrix computed using second derivatives


Variable

Coefficient

Std. Error

z-Statistic

Prob.

C

-11.28157

1.572448

-7.174524

0.0000

DT

0.020021

0.009731

2.057311

0.0397

TN

0.000531

0.003608

0.147233

0.8829

TCH

0.084131

0.025103

3.351457

0.0008

GD

0.707072

0.119944

5.895004

0.0000

GT

-0.232493

0.435258

-0.534149

0.5932

DV

0.018852

0.500318

0.037679

0.9699

SPT

-0.172818

0.252851

-0.683478

0.4943

LS

1.269906

0.484663

2.620185

0.0088

GTC

0.007959

0.002369

3.359006

0.0008

VPCT

-1.115117

0.434575

-2.565996

0.0103

McFadden R-squared

0.588276

Mean dependent var

0.668810

S.D. dependent var

0.471400

S.E. of regression

0.292041

Akaike info criterion

0.593644

Sum squared resid

25.58634

Schwarz criterion

0.725920

Log likelihood

-81.31170

Hannan-Quinn criter.

0.646517

Deviance

162.6234

Restr. deviance

394.9812

Restr. log likelihood

-197.4906

LR statistic

232.3578

Avg. log likelihood

-0.261452

Prob(LR statistic)

0.000000



Obs with Dep=0

103

Total obs

311

Obs with Dep=1

208



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