Bankıng Funds and the Industrıal Sector in Indonesıa
Banking, the blood of any economy, recorded strong growth over the last 5 years in Indonesia, particularly in terms of the volumes of funds collected. The purpose of this research is to examine the indicators of banking, banking technology indicators namely Bank Indonesia-Real Time Gross Settlement...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Brawijaya
2016-12-01
|
Series: | APMBA (Asia Pacific Management and Business Application) |
Subjects: | |
Online Access: | http://apmba.ub.ac.id/index.php/apmba/article/view/227 |
id |
doaj-fbccda35d4e84418a1c148b0012a94b2 |
---|---|
record_format |
Article |
spelling |
doaj-fbccda35d4e84418a1c148b0012a94b22020-11-24T20:51:06ZengUniversity of BrawijayaAPMBA (Asia Pacific Management and Business Application)2252-89972016-12-0152617110.21776/ub.apmba.2016.005.02.1171Bankıng Funds and the Industrıal Sector in IndonesıaHenny Medyawati0Muhamad Yunanto1Faculty of Economics, Gunadarma University, Jakarta, IndonesiaFaculty of Economics, Gunadarma University, Jakarta, IndonesiaBanking, the blood of any economy, recorded strong growth over the last 5 years in Indonesia, particularly in terms of the volumes of funds collected. The purpose of this research is to examine the indicators of banking, banking technology indicators namely Bank Indonesia-Real Time Gross Settlement (BI-RTGS), industrial sector and services in the Indonesian economy as measured by the nation’s Gross Domestic Product (GDP). This study uses time series data covering 2000 (fourth quarter) to 2014. Testing of time series data using the unit root test and co-integration test, indicated that variables were not stationary at the current level and that the Vector Error Correction Model (VECM) can be applied provided that there is co-integration. The results showed that the GDP responded positivelyto shocksarising from third party funds, assets and BI-RTGS. Negative response was indicated by the loan variables, industry and services. An analysis of variance decomposition indicated that the third party fundshad the largest percentage contribution compared with those attributable to five other variables.http://apmba.ub.ac.id/index.php/apmba/article/view/227BI-RTGSVECMeconomic growth |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Henny Medyawati Muhamad Yunanto |
spellingShingle |
Henny Medyawati Muhamad Yunanto Bankıng Funds and the Industrıal Sector in Indonesıa APMBA (Asia Pacific Management and Business Application) BI-RTGS VECM economic growth |
author_facet |
Henny Medyawati Muhamad Yunanto |
author_sort |
Henny Medyawati |
title |
Bankıng Funds and the Industrıal Sector in Indonesıa |
title_short |
Bankıng Funds and the Industrıal Sector in Indonesıa |
title_full |
Bankıng Funds and the Industrıal Sector in Indonesıa |
title_fullStr |
Bankıng Funds and the Industrıal Sector in Indonesıa |
title_full_unstemmed |
Bankıng Funds and the Industrıal Sector in Indonesıa |
title_sort |
bankıng funds and the industrıal sector in indonesıa |
publisher |
University of Brawijaya |
series |
APMBA (Asia Pacific Management and Business Application) |
issn |
2252-8997 |
publishDate |
2016-12-01 |
description |
Banking, the blood of any economy, recorded strong growth over the last 5 years in Indonesia, particularly in terms of the volumes of funds collected. The purpose of this research is to examine the indicators of banking, banking technology indicators namely Bank Indonesia-Real Time Gross Settlement (BI-RTGS), industrial sector and services in the Indonesian economy as measured by the nation’s Gross Domestic Product (GDP). This study uses time series data covering 2000 (fourth quarter) to 2014. Testing of time series data using the unit root test and co-integration test, indicated that variables were not stationary at the current level and that the Vector Error Correction Model (VECM) can be applied provided that there is co-integration. The results showed that the GDP responded positivelyto shocksarising from third party funds, assets and BI-RTGS. Negative response was indicated by the loan variables, industry and services. An analysis of variance decomposition indicated that the third party fundshad the largest percentage contribution compared with those attributable to five other variables. |
topic |
BI-RTGS VECM economic growth |
url |
http://apmba.ub.ac.id/index.php/apmba/article/view/227 |
work_keys_str_mv |
AT hennymedyawati bankıngfundsandtheindustrıalsectorinindonesıa AT muhamadyunanto bankıngfundsandtheindustrıalsectorinindonesıa |
_version_ |
1716802687831375872 |