170
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.
171
therefore we conclude that Liquidity Management of Banks during Guided deregulation reform have no significant effect on Agriculture sector credit finance.
The absolute p-value for Liquidity Management 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 Liquidity Management during Re-Liberalization reform have significant effect on Agriculture sector credit finance. The absolute p-value for Liquidity Management 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 Liquidity Management during Consolidation reform have significant effect on Agriculture sector credit finance.
Table 4.26: Effect of Cash Reserve Ratio on bank Credit to the Manufacturing
Reforms Beta p-values Critical
Value
@ 5%
t-statistics Decision
Liberalization 1.251151 0.0148 0.05 1.854594 Reject H01
Guided deregulation -0.144921 0.0103 0.05 -2.782264 Reject H01
Re-Liberalization 7.490177 0.0044 0.05 0.334708 Reject H01
Banking Consolidation
0.650241 0.0077 0.05 0.713033 Reject H01
Source: E-Views 9.0 Result Output, 2018.
The absolute p-value for Bank Liquidity reform proxy by Cash Reserve 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 Liquidity management of Bank have significant effect on Manufacturing credit finance. The p-value for Liquidity Management during Guided deregulation 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
172
therefore we conclude that Liquidity Management of Banks during Guided deregulation reform have significant effect on Manufacturing sector credit finance.
The absolute p-value for Liquidity Management reform during Re-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 Liquidity Management during Re-Liberalization reform have significant effect on Manufacturing sector credit finance. The absolute p-value for Liquidity Management 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 Liquidity Management during Consolidation reform have significant effect on Manufacturing sector credit finance.
Table 4.27: Effect of Cash Reserve Ratio on bank Credit to the Mining and Quarrying Reforms Beta p-values Critical Value
@ 5%
t-statistics Decision
Liberalization -0.277594 0.0243 0.05 -0.926491 Reject H01
Guided deregulation
-0.423517 0.0000 0.05 -5.184308 Reject H01
Re-Liberalization 0.284992 0.0126 0.05 2.697019 Reject H01
Banking Consolidation
-0.329801 0.0140 0.05 -0.193725 Reject H01
Source: E-Views 9.0 Result Output, 2018.
The absolute p-value for Bank Liquidity reform proxy by Cash Reserve 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 Liquidity management of Bank have significant effect on Mining and Quarrying credit finance. The p-value for Liquidity Management during Guided deregulation 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
173
therefore we conclude that Liquidity Management of Banks during Guided deregulation reform have significant effect on Mining and Quarrying sector credit finance.
The absolute p-value for Liquidity Management reform during Re-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 Liquidity Management during Re-Liberalization reform have significant effect on Mining and Quarrying sector credit finance. The absolute p-value for Liquidity Management 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 Liquidity Management during Consolidation reform have significant effect on Mining and Quarrying sector credit finance.
Table 4.28: Effect of Cash Reserve Ratio on bank Credit to the Real Estate
Reforms Beta p-values Critical
Value
@ 5%
t-statistics Decision
Liberalization 0.098692 0.0316 0.05 20.10710 Reject H01
Guided deregulation 0.731218 0.0002 0.05 4.402800 Reject H01
Re-Liberalization 19.21021 0.0022 0.05 0.428572 Reject H01
Banking Consolidation
0.206561 0.7458 0.05 0.342650 Accept H01
Source: E-Views 9.0 Result Output, 2018.
The absolute p-value for Bank Liquidity reform proxy by Cash Reserve Ratio during liberalization reform is more 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 Liquidity management of Bank have significant effect on Real Estate credit finance. The p-value for Liquidity Management during Guided deregulation 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
174
that Liquidity Management of Banks during Guided deregulation reform have significant effect on Real Estate sector credit finance.
The absolute p-value for Liquidity Management reform during Re-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 Liquidity Management during Re-Liberalization reform have significant effect on Real Estate sector credit finance. The absolute p-value for Liquidity Management during Consolidation 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 Liquidity Management during Consolidation reform have significant effect on Real Estate sector credit finance.