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the operation system to control the firm operation by means of the information resources near-real-time processing in the modern firms in the case of the diffusion type financial

In document Quantum macroeconomics theory (Page 48-56)

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statistically significant at the 5% level of significance, therefore we conclude that Exchange Rate during Re-Liberalization reform have significant effect on Real Estate sector credit finance. The absolute p-value for Exchange Rate during Consolidation reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Exchange Rate during Consolidation reform have significant effect on Real Estate sector credit finance.

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The absolute p-value for Asset Quality reform during Re-Liberalization reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not statistically significant at the 5% level of significance, therefore we conclude that Asset Quality during Re-Liberalization reform have no significant effect on Agriculture sector credit finance. The absolute p-value for Asset Quality during Consolidation reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Bank Asset Quality during Consolidation reform have significant effect on Agriculture sector credit finance.

Table 4.22: Effect of Loan-to-deposit ratio on bank Credit to the Manufacturing

Reforms Beta p-values Critical Value

@ 5%

t-statistics Decision

Liberalization 0.150168 0.0255 0.05 6.617617 Reject H01

Guided deregulation

2.887575 0.8533 0.05 0.186893 Accept H01

Re-Liberalization 0.873372 0.0409 0.05 0.632558 Reject H01

Banking Consolidation

0.782895 0.0144 0.05 0.810616 Reject H01

Source: E-Views 9.0 Result Output, 2018.

The absolute p-value for Asset Quality proxy as Loan-to-deposit ratio during liberalization reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Bank have significant effect on Manufacturing sector credit finance.

The p-value for Asset Quality during Guided deregulation reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Banks during Guided deregulation reform have no significant effect on Manufacturing sector credit finance.

168

The absolute p-value for Asset Quality reform during Re-Liberalization reform is less than the critical value, we accept the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance, therefore we conclude that Asset Quality during Re-Liberalization reform have significant effect on Manufacturing sector credit finance. The absolute p-value for Asset Quality during Consolidation reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Bank Asset Quality during Consolidation reform have significant effect on Manufacturing sector credit finance.

Table 4.23: Effect of Loan-to-deposit ratio on bank Credit to the Mining and Quarrying Reforms Beta p-values Critical Value

@ 5%

t-statistics Decision

Liberalization 0.048780 0.0197 0.05 4.840092 Reject H01

Guided deregulation 1.035652 0.2988 0.05 -1.062075 Accept H01

Re-Liberalization -3.022469 0.6425 0.05 -0.470117 Accept H01

Banking Consolidation

0.142593 0.0158 0.05 0.534603 Reject H01

Source: E-Views 9.0 Result Output, 2018.

The absolute p-value for Asset Quality proxy as Loan-to-deposit ratio during liberalization reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Bank have significant effect on Mining and Quarrying credit finance.

The p-value for Asset Quality during Guided deregulation reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Banks during Guided deregulation reform have no significant effect on Mining and Quarrying sector credit finance.

169

The absolute p-value for Asset Quality reform during Re-Liberalization reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not statistically significant at the 5% level of significance, therefore we conclude that Asset Quality during Re-Liberalization reform have no significant effect on Mining and Quarrying sector credit finance. The absolute p-value for Asset Quality during Consolidation reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi

is not statistically significant at the 5% level of significance therefore we conclude that Bank Asset Quality during Consolidation reform have significant effect on Mining and Quarrying sector credit finance.

Table 4.24: Effect of Loan-to-deposit ratio on bank Credit to the Real Estate Reforms Beta p-values Critical Value

@ 5%

t-statistics Decision

Liberalization 0.009055 0.0116 0.05 54.84595 Reject H01

Guided deregulation -0.039157 0.2988 0.05 -1.062075 Accept H01

Re-Liberalization 1.293052 0.0216 0.05 0.467557 Reject H01

Banking Consolidation

-0.704573 0.0204 0.05 -1.299566 Reject H01

Source: E-Views 9.0 Result Output, 2018.

The absolute p-value for Asset Quality as proxy as Loan-to-deposit ratio during liberalization reform is less than the critical value, we reject the null hypothesis. That is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Bank have significant effect on Real Estate credit finance. The p-value for Asset Quality during Guided deregulation reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Asset Quality of Banks during Guided deregulation reform have no significant effect on Real Estate sector credit finance.

The absolute p-value for Asset Quality reform during Re-Liberalization reform is more than the critical value, we accept the null hypothesis. That is, we accept that the estimate bi is not

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statistically significant at the 5% level of significance, therefore we conclude that Asset Quality during Re-Liberalization reform have no significant effect on Real Estate sector credit finance. The absolute p-value for Asset Quality during Consolidation reform is less than the critical value, we reject the null hypothesis, that is, we reject that the estimate bi is not statistically significant at the 5% level of significance therefore we conclude that Bank Asset Quality during Consolidation reform have significant effect on Real Estate sector credit finance.

In document Quantum macroeconomics theory (Page 48-56)

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