Digital and electronic transactions against velocity of money

2021 ◽  
Vol 5 (2, special issue) ◽  
pp. 145-155
Author(s):  
Juliansyah Roy ◽  
Eny Rochaida ◽  
Rachmad Budi Suharto ◽  
Rizkiawan Rizkiawan
Keyword(s):  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Advanced Technology ◽  
Series Data ◽  
Electronic Transactions ◽  
Velocity Of Money ◽  
Negative Effect ◽  
Digital Transactions ◽  
The Impact

The payment system accumulates through an interbank fund transfer system, banking procedures, and a set of instruments that guarantee the circulation of money (Hancock & Humphrey, 1997). The theory of money expressed by Fisher is very striking and different from Marx’s. Marx only emphasizes monetary developments as contemporary capitalism. However, Fisher on the form of money and the function of money in a certain amount (as cited in Ivanova, 2020). The flow of electronic and digital transactions has continued to innovate over the past decade. An important point of this research is to identify electronic transactions and digital transactions against the velocity of money (VoM) in Indonesia. Fisher’s theory of money is applied to this study. Through a quantitative approach, time-series data for 2009–2019 was collected from the Bank of Indonesia and BPS-Indonesia. Multiple linear regression analysis is useful in interpreting the data. As a result, we find electronic transactions measured by credit cards appear to have a negative effect on VoM, but the impact is significant. Meanwhile, debit cards actually have a positive and significant effect on the value of VoM. Interestingly, other empirical results explore the relationship of digital transactions represented by e-money with VoM, where the effect is negative and insignificant. This finding is also very relevant to banking efforts to harmonize and adopt advanced technology in the financial system

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Gabungan (Studi pada Indeks Harga Saham Gabungan di Bursa Efek Indonesia Periode 2014-2018)

2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
The Exchange Rate

This research aims to determine whether the macroeconomic variables i.e., the exchange rate, inflation and BI rate simultaneously and partially influence Indonesia Composite Index at The Indonesia Stock Exchange (IDX). The approach in this study is a quantitative method, using multiple linear regression analysis. The data used are time series data from January 2014 until December 2018. The result indicates that exchange rates, inflation and BI together have a significant impact to Indonesia Composite Index. Individually, only the BI rate variable has a significant effect and has a negative effect to Indonesia Composite Index. The exchange rate and inflation had no significant effect to Indonesia Composite Index.

scholarly journals FACTORS INFLUENCING THE PRICE OF INDONESIA SOVEREIGN SUKUK IN SECONDARY MARKET

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Muhammad Fatih Al Aziz ◽  
Irfan Syauqi Beik ◽  
Achmad Firdaus
Keyword(s):  
Time Series Data ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Secondary Market ◽  
Series Data ◽  
Significant Positive Effect ◽  
Negative Effect ◽  
Ministry Of Finance ◽  
Positive Effect

The paper analyses four influencing factors toward the Indonesian sovereign sukuk price in the secondary market during the period January 2015 to June 2018, namely liquidity, coupon, maturity and the Indonesia composite index (ICI). The model used is multiple linear regression analysis with time series data obtained from the Ministry of Finance of Indonesia. The results of the analysis show that liquidity had a significant positive effect on the sovereign sukuk price in the secondary market, that coupon also had a significant positive effect; maturity had a significant negative effect, while the Indonesia composite index had a significant positive effect.==============================================================================================Faktor-faktor yang Mempengaruhi Harga Sukuk Indonesia di Pasar Sekunder. Makalah ini menganalisis empat faktor yang mempengaruhi harga sukuk Indonesia di pasar sekunder selama periode Januari 2015 hingga Juni 2018, yaitu likuiditas, kupon, jatuh tempo dan indeks harga saham gabungan (IHSG). Model yang digunakan adalah analisis regresi linier berganda dengan data deret waktu diperoleh dari Kementerian Keuangan Indonesia. Hasil analisis menunjukkan bahwa likuiditas berpengaruh positif signifikan terhadap harga sukuk negara di pasar sekunder, kupon juga berpengaruh positif signifikan, maturitas berpengaruh negatif signifikan, sedangkan indeks harga saham Indonesia berpengaruh positif signifikan terhadap harga sukuk Negara di Pasar Sekunder

scholarly journals Pengaruh PAD, DAU, dan DAK Terhadap Produk Domestik Bruto di Provinsi Lampung Periode 2016-2018

2012 ◽  
Vol 13 (2) ◽  
pp. 149-159
Author(s):  
Yohana Dwi Fitriani ◽  
◽  
Agnes Susana Merry Purwanti ◽  
Keyword(s):  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Section Data ◽  
Statistical Analysis Method ◽  
Measuring Tool ◽  
The Impact ◽  
Positive Effect

Lampung is one of the provinces in Indonesia that feels the impact of regional autonomy, so a measuring tool is needed to determine the economic condition per period through gross regional domestic product. The purpose of this study is to determine the effect of Regional Original Income, General Allocation Funds, and Special Allocation Funds on GRDP. This study uses a quantitative approach. The type of data used is secondary data found on the official website of BPS Lampung. The type of data used is time series data in the 2016-2018 period and cross section data for 15 districts/cities in Lampung Province. The statistical analysis method used is multiple linear regression analysis, using the SPSS 20 program. The results of the analysis conclude that: Regional Original Income has a positive effect on GRDP, General Allocation Funds have a positive effect on GRDP, and the Special Allocation Fund K has no effect and is negative on GRDP. GRDP. Simultaneously, the variables of Regional Original Revenue, General Allocation Fund, and Special Allocation Fund have a significant effect on GRDP.

The impact of Benin’s first public procurement code and its amendment on healthcare equipment acquisition prices

2018 ◽  
Vol 18 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Pamphile Thierry Houngbo ◽  
Maikel Kishna ◽  
Marjolein Zweekhorst ◽  
Daton Medenou ◽  
Joske G.F. Bunder-Aelen
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Good Governance ◽  
Public Procurement ◽  
Linear Regression Analysis ◽  
Interrupted Time Series ◽  
Series Data ◽  
Content Type ◽  
The Impact ◽  
Health Care Equipment

PurposeTo satisfy donors and reduce public procurement acquisition prices, Benin has implemented and amended its first public procurement code guided by top-down principles of good governance.Design/methodology/approachThis study aims to measure the impact of the code and its amendment on public procurement acquisition prices of health-care equipment from 1995 to 2010.FindingsA segmented linear regression analysis was performed using interrupted time-series data. The analysis shows that the code and its amendment did not reduce acquisition prices, indicating the limited impact of the code. The authors recommend the implementation of bottom-up processes in establishing the public procurement system, and the development of a reference pricelist of the most widely used health-care equipment, as possible solutions for improving the effectiveness of the code.

scholarly journals Impact of Remittances on Economic Growth: Evidence from Selected West African Countries (Cameroon, Cape Verde, Nigeria and Senegal)

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Muriel Adarkwa ◽  
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
West African ◽  
Cape Verde ◽  
Series Data ◽  
African Countries ◽  
The World Bank ◽  
Negative Effect ◽  
The Impact ◽  
Positive Effect

Remittances from abroad play a key role in the development of many West African countries. Remittances tend to increase the income of recipients, reduce shortage of foreign exchange and help alleviate poverty. This research examines the impact of remittances on economic growth in four selected West African countries: Cameroon, Cape Verde, Nigeria and Senegal. Using developmentalist, structuralist and pluralist views on remittances, a linear regression was run on time series data from the World Bank database for the period 2000–2010. After a critical analysis of the impact of remittances on economic growth in these four countries, it was found that inflow of remittances to Senegal and Nigeria has a positive effect on these countries’ gross domestic product whereas for Cape Verde and Cameroon it had a negative effect. Cameroon benefitted the least from remittances and Nigeria benefitted the most within the period. One contribution of this study is the finding that remittance inflows need to be invested in productive sectors. Even if remittances continue to increase, without investment in productive sectors they cannot have any meaningful impact on economic growth in these countries.

scholarly journals The Effect of Financing on Credit Risk: Empirically on Indonesian Islamic Banking

2021 ◽  
Vol 5 (1) ◽  
pp. 503
Author(s):  
Fitri Zaelina ◽  
Dwi Nastiti
Keyword(s):  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
The Public ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Financing Risk

Islamic banking has an important role in the economy, especially in moving the real sector. Islamic banking provides funding to the public in the form of financing. The financing provided cannot be separated from various risks that can threaten the health of the bank, one of which is financing risk. For that, the purpose of this study is to analyze the effect of financing on financing risk in Islamic banks for the period 2015 to 2020. The method used in this study is quantitative with multiple linear regression analysis techniques. This study uses time-series data and the variables in this study are mudharabah, musyarakah, murabahah, ijarah financing, and total assets as independent variables and NPF as a dependent variable. The results of the study concluded that total assets had a negative and significant effect on NPF and murabahah financing had a positive and significant effect on NPF. Meanwhile, mudharabah, musyarakah, and ijarah financing has no significant effect on NPF.

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals PENGARUH PERTUMBUHAN EKONOMI TERHADAP KESEMPATAN KERJA DI PROVINSI SULAWESI TENGGARA

2018 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Muhammad Nur Afiat
Keyword(s):  
Economic Growth ◽  
Quantitative Research ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Series Data ◽  
Employment Opportunities

This study was conducted with the aim to determine the effect of Economic Growth Rate on Employment Opportunities in Southeast Sulawesi Province 2000-2015. This research is a type of Quantitative research using secondary data in the form of time series data, ie from 2000-2015. Data source was obtained from Central Bureau of Statistics (BPS) and Bank Indonesia of Southeast Sulawesi Province. This study also uses multiple linear regression analysis tools with ordinary least square method (OLS) and then processed with application Eviews 8.0. The results of the study show that Economic Growth has a significant influence on Employment Opportunities in Southeast Sulawesi Province 2000-2015.

scholarly journals Analysis of Influence Financial Ratios on Sharia Banking Performance in Indonesia (Empirical Study at Bank Muamalat Indonesia, Bank Syariah Mandiri, and Bank Mega Syariah)

2016 ◽  
Vol 4 (2) ◽  
pp. 135
Author(s):  
Shulhah Nurullaily
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Linear Regression ◽  
Empirical Study ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Negative Effect ◽  
The Impact

This study aims to examine the performance of Sharia Banking in Indonesia after experiencing slowing growth due to the impact of the United States crisis in 2008/2009. Factors used to measure the performance of sharia banking represented by ROA are CAR, NPF, BOPO, NM and FDR. This research uses multiple linear regression analysis with sample of research of Bank Muamalat, Bank Mega Syariah, and Bank Syariah Mandiri with the period of research from the first quarter 2008 to the fourth quarter 2011. The result of this research that is NM and FDR have positive significant effect on ROA, while BOPO has a significant negative effect on ROA, CAR and NPF have no influence on ROA.

scholarly journals Kebijakan Hutang, Kebijakan Dividen, Dan Profitabilitas, Serta Dampaknya Terhadap Investment Opportunity Set (IOS)

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Andita Novianti ◽  
Nicodemus Simu
Keyword(s):  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Investment Opportunity ◽  
Process Data ◽  
Analysis Technique ◽  
Investment Opportunity Set ◽  
Negative Effect ◽  
The Impact ◽  
Debt Policy

This research aimed to analyze the impact of the debt policy, dividend policy, and the profitability of each proxied by DER, DPR and ROE thru the investment opportunity set with CAPBVA as the proxy. The population of this research is a trade service company, services and investments which are listed on the Stock Exchange. The sampling method used is purposive sampling, 19 companies are selected as research objects with 76 samples of data involved. Data analysis technique is used multiple linear regression analysis. The analytical tool used to process data is E-Views 8.0. The results of this research showed that the DER and DPR has a significant negative effect on IOS, while ROE has no significant effect on IOS. The influence proportion of the independent variables can explain IOS by 16.38 percent, while 83.62 percent is explained by other variables outside the research model.

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