scholarly journals ANALISIS PENGARUH TRANSAKSI NON TUNAI DAN SUKU BUNGA BI TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 667
Author(s):  
Susilawati Susilawati ◽  
Dewi Zaini Putri
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Interest Rates ◽  
Significant Influence ◽  
Credit Cards ◽  
Secondary Data ◽  
Least Square ◽  
Independent Variables ◽  
Library Studies ◽  
Data Collection Technique

This study to find out how the influence non-cash transactions and interest rate on economics growth. The independent variables of this study is credit cards (X1), e-money (X2) and interest rate (X3). The data used are secondary data in the form of time series from 2010Q1 to 2018Q4, with documentation data collection technique is Bank Indonesia and Badan Pusat Statistik publication, and library studies. The theoretical model of this study is Ordinary Least Square (OLS). The steps in this method is (1) classical assumption test, (2) hypotheses test, and (3) determination coeffisient test (R2). The results of this study show that (1) credit cards significant influence on economic growth in Indonesia, this means that if there is an increase the volume of credit cards transactions,which indicates a velocity of money and increased public consumption, the output and economic growth will also increase.(2) e-money no significant influence on economic growth in Indonesia, this means that an increase or decrease the volume of e-money transactions does not cause or encourage economic growth in Indonesia. (3) the interest rates no significant influence on economic growth in Indonesia, this means that an increase or decrease in interest rates determinated by Bank Indonesia does not affect on economics growth in Indonesia. (4) credit cards, e-money, and the interest rates together have a significant influence on economics growth in Indonesia, this means that if there is a positive change together these independent variables will encourage economics growth in Indonesia.

scholarly journals Analisis Pengaruh Inflasi, Suku Bunga Kredit, Tenaga Kerja, Teknologi Terhadap Investasi di Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 8-15
Author(s):  
Agung Muhammad Syaikhu ◽  
Titik Haryati
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Interest Rate ◽  
Interest Rates ◽  
Least Square ◽  
Investment Fund ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Test Variable ◽  
The Relationship

Investasi merupakan faktor penting bagi pembangunan ekonomi, karena dengan dana dari investasi bisa dialihkan keusaha produktif sehingga akan memicu pertumbuhan ekonomi. Penelitian ini bertujuan untuk mengetahui pengaruh inflasi, suku bunga kredit, tenaga kerja dan teknologi terhadap investasi di Indonesia. Penelitian ini menggunakan alat analisis regresi berganda dengan metode OLS (Ordinary Least Square) untuk mengetahui pengaruh antara variabel bebas dan variabel terikat. Hasil penelitian menyatakan berdasarkan uji t statistik variabel inflasi dan suku bunga kredit tidak signifikan terhadap investasi di Indonesia, sedangkan variabel tenaga kerja dan teknologi berpengaruh signifikan terhadap investasi di Indonesia. Simpulan dari penelitian ini adalah ada 2 variabel yang menunjukan hasil signifikan yaitu tenaga kerja dan teknologi, serta 2 variabel yang tidak signifikan yaitu inflasi dan suku bunga kredit. Investment is an important factor for economic development because of the investment fund may be transferred to productive business ventures that will stimulate economic growth. This study aimed to determine the effect of inflation, interest rates on credit, labor and technology to investmen in Indonesia. This study uses multiple regression analysis with OLS (Ordinary Least Square) where to find and influence the relationship between independent variables and the dependent variable. The study states based on the statistical t-test variable inflation and interest rate no significant effect on investment in Indonesia, while variable labor and technology a significant effect on investment in Indonesia. Conclusions from this research is that there are two variables that showed a significant result that labor and ttechnology, as well as the two variables are not significant, namely inflation and interest rate.

scholarly journals Analisis pengaruh keadaan ekonomi makro terhadap investasi Asuransi Jiwa Syariah di Indonesia tahun 2010 – 2019

2020 ◽  
pp. 37-53
Author(s):  
Khalish Khairina
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Significant Influence ◽  
Life Insurance ◽  
Time Series Data ◽  
Composite Index ◽  
T Test ◽  
Least Square ◽  
Series Data ◽  
Independent Variables

This study aims to analyze the effect of Inflation, Exchange Rate, BI Interest Rate, Indonesia Composite Index on Sharia Insurance Life in Indonesia.  Data used is time series data for 10 years (2010-2019) and analyzed by using Eviews 10. This research using quantitative descriptive method, and to analyze the effect of independent variables toward dependent variables using Ordinary Least Square technique. The result of t – test shows Inflation, Exchange Rate, Indonesia Composite Index have significant influence to Sharia Life Insurance Investment in Indonesia that t –test < 0,05 and Interest Rate doesn’t influence to Sharia Life Insurance Investment in Indonesia with t – test > 0,05. However, independent variables has a significant influence with the result of F test 0,000002 < 0,05 and Adjusted R-Squared test shows that 99,41 %  of Sharia Life Insurance Investment in Indonesia is influenced by independent variables in this research

scholarly journals Determinan Suku Bunga dan Likuiditas Bank Terhadap Pertumbuhan Kredit di Indonesia

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 200
Author(s):  
Yeniwati Yeniwati
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Commercial Banks ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Credit Growth ◽  
Ordinary Least Square ◽  
Banking Community ◽  
The Interest Rate

This study aims to determine the effect of the interest rate (BI rate) on bank credit growth in Indonesia, liquidity on bank credit growth in Indonesia and determine the effect of interest rates and liquidity on bank credit growth in Indonesia. The method used in this study is Ordinary Least Square (OLS) using secondary data from 2009 Quarter I to 2018 Quarter IV. The results of the analysis showed that there was an influence between interest rates on bank credit growth in Indonesia, there was an influence between liquidity on bank credit growth in Indonesia. Together there is an influence between interest rates and bank liquidity on the growth of bank credit in Indonesia. The policy implication of this research is that Bank Indonesia must maintain the benchmark interest rate set in order to trigger an increase in bank credit growth. In addition, Bank Indonesia must monitor the liquidity of commercial banks in Indonesia so that the trust of the banking community is even greaterKeywords : interest rate, Liquidity, Credit

scholarly journals Determinan Jumlah Uang Beredar, Tingkat Bunga, dan Inflasi Terhadap Pertumbuhan Ekonomi Indonesia

Al-Buhuts ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 45-64
Author(s):  
Adya Utami
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Money Supply ◽  
Negative Relationship ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Coefficient Of Determination ◽  
Independent Variable ◽  
The Interest Rate

This study aims to determine the determinants of the money supply, the interest rate, and inflation on Indonesia's economic growth in the 2009-2018 period. This research uses descriptive method and is strengthened by the OLS (ordinary least square) method with secondary data. The data used is sourced from the Central Statistics Agency and Bank Indonesia. The results of this study indicate that the money supply and the interest rate have a negative effect but inflation has a positive effect on Indonesia's economic growth. The JUB variable is not significant with a probability value of 0.1326. The JUB regression coefficient value has a negative relationship to the economic growth variable with a coefficient of 0.9288. The interest rate variable entered in the above equation turns out to be negative and significant with a probability value of 0.0571. The value of the coefficient of the exchange rate is (0.4843). The independent variable inflation gives a negative and not significant result with a probability value of 0.1134. Inflation coefficient value is 0.1724. In the equation model that uses economic growth as the dependent variable above, the magnitude of the coefficient of determination (R Squared) is 0.573429. This shows that the ability of the independent variable in explaining the diversity of the independent variables is 57.34% while the remaining 42.66% is influenced by other variables not included in the model.

scholarly journals Analysis the Effect of Household Consumption Expenditure, Investment and Labor to Economic Growth: A Case in Province of North Sumatra

2018 ◽  
Vol 28 (4) ◽  
pp. 45-54
Author(s):  
Richna Handriyani ◽  
M.M. Sahyar ◽  
M. Arwansyah
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Positive Impact ◽  
Secondary Data ◽  
Least Square Method ◽  
Household Consumption ◽  
Least Square ◽  
Domestic Investment ◽  
Department Of Labor ◽  
North Sumatra

Abstract This research is important because the commencement of the Asean Economic Community (MEA) has a positive impact that is spurring the growth of investment from within and outside the country, so that domestic investment has the potential to increase which will increase the number of employment for Indonesian workers especially in province of North Sumatera.This study aims to: identify the effect of household consumption on economic growth, identify the effect of investment on economic growth, identify the influence of Labor on economic growth, and identify the effect of interest rate on economic growth . The data used in this research were secondary data in 2006-2016 in Province of North Sumatera. Data obtained from various agencies, namely: Department of Labor and Transmigration, Central Statistics Agency of Province of North Sumatra, some other sources such as journals and relevant research results. Methods of analysis using Two Stage Least Square method (TSLS). The results of this study found that: Household consumption has a positive and significant effect to economic growth, Investment has positive and significant effect to economic growth, Labor has positive and significant impact to economic growth, and Interest rate has a negative and significant effect on economic growth.

scholarly journals ANALISIS PERMINTAAN KREDIT MODAL USAHA PADA BANK PEMERINTAH DI SUMATERA UTARA

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Putri Sari Silaban
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Consumer Price Index ◽  
Secondary Data ◽  
Least Square ◽  
Linear Regression Models ◽  
Variable Effect ◽  
Mortgage Interest Rates ◽  
Credit Demand ◽  
North Sumatra

This research aims to analyze the influence of GDP, interest rate, CPI and the amount of deposits to the credit demand of venture capital to the state bank in North Sumatra simultaneously and partially. The data used are secondary data sourced from North Sumatra Bank of Indonesia variables namely GDP, interest rate, CPI and the number of deposit and loan capital of North Sumatra Province, on a quarterly basis from 2003 till , 2011. Data analysis was performed using OLS (Ordinary Least Square) with multiple linear regression models estimated with the help of the program Eviews 5.1. The results of this research can be concluded that simultaneous co-GDP variables constant change, the consumer price index, interest rate, and the amount of deposits significantly affect credit demand in the capital of North Sumatra Province. Furthermore, partially concluded that variables GDP, and the amount of deposits a positive effect on demand for capital loans, while the CPI and the variable mortgage interest rates negatively affect credit demand in the capital of North Sumatra Province. The results also showed that the most dominant variable effect on credit demand in the province of North Sumatra capital is the amount of deposits.

scholarly journals ANALISIS TRANSMISI KEBIJAKAN MONETER MELALUI JALUR PINJAMAN BANK DI INDONESIA

2017 ◽  
Vol 6 (2) ◽  
pp. 129
Author(s):  
Violetta Puteri Dhuayu ◽  
Sri Ulfa Sentosa ◽  
Selli Nelonda
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Inflation Rate ◽  
Secondary Data ◽  
Bank Loans ◽  
Least Square ◽  
Ordinary Least Square

This study aims to determine and analyze the influence of interest rate and bank-specific to bank loans growth and also analyze the causality between interest rate, bank loas growth and economic growth with inflation rate in Indonesia. The type of this research is descriptive and associative. This research used secondary data from 2006 Q1 to 2015 Q4 obtained from the related institution which is analyzed by using the Ordinary Least Square (OLS) method and Vector Autoregerssion (VAR). The results show that interest rate (BI Rate) affect bank loans growth in Indonesia while, bank liquidity and bank capitalization positively affect bank loans growth in Indonesia. It also show that there are causality between interest rate and bank loans growth with inflation rate in Indonesia.

scholarly journals Analisis Perubahan Nilai Tukar Rupiah Akibat Peningkatan Inflasi, Tingkat Suku Bunga SBI dan Pertumbuhan Ekonomi (Studi Pada Bank Indonesia Periode 2008 – 2017)

2021 ◽  
Vol 23 (1) ◽  
pp. 20
Author(s):  
Mirna Herawati
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Regression Model ◽  
Interest Rates ◽  
Direct Relationship ◽  
Inflation Rate ◽  
Rate Coefficient ◽  
Independent Variables ◽  
The Interest Rate

The purpose of this study was to determine the simultaneous effect of the inflation rate, interest rates and economic growth on the rupia exchange rate. This study also examines the partial effect of the inflation rate on the rupia exchange rate, finds the effect of interest rates on the rupia exchange rate, and economic growth on the rupia exchange rate. The research method used in this study is a quantitative method. The data source used is secondary data in the form of a Time Series. Time-series data is data that is collected over a specified period / period of time. The data collection technique used in this research is the documentary method taken from the Central Bureau of Statistic's data. From the calculation of the F value it is known that 0.00467 < 0.050, so there is a simultaneous influence of the inflation rate, interest rate and economic growth variables on the Rupiah exchange rate. The regression equation is Y = . The inflation rate coefficient for variable X1 is 0.009 and positive. This shows that the inflation rate has a direct relationship with the Rupiah exchange rate. This means that every time one unit of inflation increases, the beta variable (Y) of the rupia exchange rate will also increase by 0.009 with the assumption that other independent variables from the regression model have been corrected. The value of the interest rate coefficient for variable X2 is -0.02 and is negative. This indicates that the interest rate has a direct relationship with the Rupiah exchange rate. This means that each time the interest rate increases by one unit, the beta (Y) variable of the rupia exchange rate will decrease by 0.02 assuming that the other independent variables of the regression model have been corrected. If the value of economic growth (X3) increases one point, then the Y value will decrease by 0.06, assuming that the other independent variables of the regression model are fixed.Keywords: Inflation rate, interest rate, economic growth, rupia exchange rate

scholarly journals MACROECONOMIC DETERMINANTS OF NON-PERFORMING LOANS (NPL): EVIDENCE FROM PAKISTAN

2013 ◽  
Vol 1 (2) ◽  
pp. 59-72
Author(s):  
Altaf Hussain ◽  
Ambar Khalil ◽  
Maryam Nawaz
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Negative Relationship ◽  
Secondary Data ◽  
Least Square ◽  
Energy Crisis ◽  
Series Data ◽  
Share Prices ◽  
Independent Variables

This analytical study investigates the determinants of non-performing loan in Pakistan. Secondary data is used in this study. The data is collected through World Bank Databank, international financial statistics and various issues of economic survey of Pakistan. The issue of Non-Performing Loan is one of the clusters of financial problems in Pakistan. No one can deny the importance of financial sector in any economy. In this study we find the macroeconomic factor that surge the NPL. We also suggest some strategies to cutback the non-performing loans. Current study uses the time series data of Pakistan, ranging from 1990 to 2013. Ordinary least square (OLS) method is used to investigate the problem. The dependent variable is non-performing loan and independent variables are exchange rate, interest rate, GDP, share prices, energy crisis, exchange rate and energy crisis. GDP has significant relationship with NPL and interest rate, share prices have insignificant relationships with NPL. A positive link has established between non-performing loans and various independent variables like energy crisis, exchange rate, interest rate, share prices. But on the other hand a negative relationship has been found between dependent variable and GDP.

scholarly journals PENGARUH PERDAGANGAN INTERNASIONAL TERHADAP NILAI TUKAR RUPIAH

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Friska Danarwaty Sitorus
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rates ◽  
Significant Influence ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables

Fluctuations of exchange rate against in the Rupiah can be influenced by international trade which makes the Rupiah exchange rate depreciate or appreciate. The purpose of this study is to recognize the differences in the effect of international trade variables on the Rupiah exchange rate. The model considered for maintaining variables can connect the effects of international trade with the Rupiah exchange rate that occurred before using the Ordinary Least Square (OLS) method. OLS estimation shows that the independent variables, namely exports, imports, and interest rates have a significant influence on the expectations of the Rupiah exchange rate, while variable interest rates cannot significantly influence the Rupiah exchange rate. In conclusion, the export, import and interest rates policies are considered to affect the rupiah exchange rate if Indonesia does not change interest rates simultaneously and other macro policy variables.

Sign in / Sign up

Export Citation Format

Share Document