-Thang đo năng lực phát triển sản phẩm mới
Reliability Statistics
N of Items | |
.606 | 3 |
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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
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
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
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
.795 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 9522.599 |
df | 990 |
Sig. | .000 |
Total Variance Explained
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
.734 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 375.369 |
df | 3 |
Sig. | .000 |
Total Variance Explained
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
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
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
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
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
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
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
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
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
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 |