Skripsi
PENGARUH NPL, INFLASI, PENDAPATAN PER KAPITA DAN JUMLAH BANK BPR TERHADAP KREDIT TERSALUR DENGAN PENDEKATAN AUTO REGRESSIVE DISTRIBUTED LAG MODELS (ARDL) DI BPR DALAM PROVINSI JAMBI
The presence of BPR is of course inseparable from efforts to gain profits. The research aims to find out and analyze the long-term and short-term effects between the independent variable and the dependent variable (distributed credit) for 2010-2021 which is compiled quarterly. Data collection for research purposes uses secondary data obtained from related agencies such as the Financial Services Authority (OJK) and so on, which are then processed using the Auto Regressive Distributed Lag Models (ARDL). The results of data processing indicate the influence of the independent variable and the dependent variable in the model. In the long term, credit in the 1st and 2nd quarters beforehand and inflation had a real and significant effect on the credit disbursed in BPRs within the province of Jambi. NPL in the long term has no significant effect on distributed credit as well as Jambi province's per capita income which has no significant effect in the long term, whereas in the short term only the credit lag variable (-1) or 1 previous quarter, the inflation variable, the number of BPR lags (-2), the number of BPR lags (-3) have a significant and significant effect at α=5% of disbursed credit. In particular, the number of BPR variables in the 2nd and 3rd quarter of the current quarter has a negative effect on distributed credit due to the relatively limited customer market segmentation and competition with commercial banks.
Inventory Code | Barcode | Call Number | Location | Status |
---|---|---|---|---|
2307000585 | T86271 | T862712023 | Central Library (Referens) | Available |
No other version available