scholarly journals Analysis The Effect of Electronic Money Use on Velocity of Money: Evidence from Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 42
Author(s):  
Sufi Azhari Pambudi ◽  
M. Khoerul Mubin
Keyword(s):  
Interest Rates ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Research Approach ◽  
Electronic Money ◽  
Correction Model ◽  
Income Levels ◽  
Long Run ◽  
Velocity Of Money

This study aims to examine the effect of electronic money transactions on the velocity of money in Indonesia. This study uses a quantitative research approach using quarterly time series data for the 2010q1-2018q4 period. Using variable velocity obtained from Gross Domestic Product (GDP) divided by M2, electronic money transactions, GDP per capita, and interest rates using the Error Correction Model (ECM) method. The results show that in the long run variable electronic money transactions, income levels and interest rates are significantly positive. In the short term, interest rates and income levels are significantly positive, while electronic money transactions only have a slight effect on the velocity of moneyin Indonesia.

scholarly journals DETERMINANTS OF INDONESIA’S INCOME VELOCITY OF MONEY

2019 ◽  
Vol 21 (3) ◽  
pp. 323-342
Author(s):  
Susan Sunila Sharma ◽  
Ferry Syarifuddin
Keyword(s):  
Interest Rates ◽  
Money Demand ◽  
Time Series Data ◽  
Series Data ◽  
Tax Revenue ◽  
Short Term ◽  
Policy Perspective ◽  
Long Run ◽  
Velocity Of Money ◽  
Short Run

Using monthly time-series data and both short- and long-run models, our paper examines the determinants of Indonesia’s income velocity of money. Our findings strongly suggest that in the long-run, tax revenue, short-term interest rates, and industrial production, and in the short-run, money demand significantly determines income velocity of money. Our analysis suggests that the effect on income velocity is mostly over the long-run as most determinants are dormant in the short-run. The implication from a policy perspective is that shocks that are transitory are unlikely to burden income velocity.

scholarly journals Analysis The Use of Electronic Money in Indonesia

2020 ◽  
Vol 9 (4) ◽  
pp. 361-373
Author(s):  
Mifta Qoirun Nisa Arifin ◽  
Shanty Oktavilia
Keyword(s):  
Quantitative Methods ◽  
Time Series Data ◽  
Series Data ◽  
Electronic Money ◽  
Correction Model ◽  
Payment Methods ◽  
Long Run ◽  
Negative Effect ◽  
Short Run ◽  
Positive Effect

E-money is an innovation of payment methods. A transaction using electronic money has more advantages than using cash. These advantages make electronic money transactions keep increasing. Currently, the increment of electronic money transactions didn’t follow by a reduction in the amount of money in circulation. This study aims to analyze the effect of macro instruments such as Gross Domestic Product, money supply (M1), inflation, and BI Rate on e-money transactions. This study focuses more on server-based electronic money and cash-substitution capabilities. This research uses quantitative methods using time-series data from January 2009 to December 2019, and the Error Correction Model Engle-Granger was employed. The results of the study show that the GDP variable in a short-run has an insignificant negative effect, while in a long-run has a positive effect, it is also significant on e-money transaction in Indonesia. The M1 variable in the short-run has an insignificant negative effect, while in the long-run, it has a significant negative effect on e-money in Indonesia. Inflation variables in both the short and long-run have an insignificant positive effect on e-money in Indonesia. The variable BI rate in the short and long-run have an insignificant negative effect on e-money in Indonesia.

Relationship between Budget Deficit and Economic Growth: Evidence from Ethiopia

2021 ◽  
Vol 2 (2) ◽  
pp. 10-15
Author(s):  
Desalegn Emana
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Budget Deficit ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Negative Relationship ◽  
Nominal Exchange Rate ◽  
Series Data ◽  
Long Run

This study examined the relationship between budget deficit and economic growth in Ethiopia using time series data for the period 1991 to 2019 by applying the ARDL bounds testing approach. The empirical results indicate that budget deficit and economic growth in Ethiopia have a negative relationship in the long run, and have a weak positive association in the short run. In line with this, in the long run, a one percent increase in the budget deficit causes a 1.43 percent decline in the economic growth of the country. This result is consistent with the neoclassical view which says budget deficits are bad for economic growth during stimulating periods. Moreover, in the long run, the variables trade openness and inflation have a positive impact on Ethiopian economic growth, and on the other hand, the economic growth of Ethiopia is negatively affected by the nominal exchange rate in the long run. Apart from this, in the long run, gross capital formation and lending interest rates have no significant impact on the economic growth of the country. Therefore, the study recommends the government should manage its expenditure and mobilize the resources to generate more revenue to address the negative impact of the budget deficit on economic growth.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3(J)) ◽  
pp. 152-162
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

scholarly journals Exchange Rate Pass-through and Its Impacts on the Nigeria Economy

2020 ◽  
pp. 44-53
Author(s):  
Obasanmi, Jude Omokugbo
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Time Series Data ◽  
Series Data ◽  
Policy Interventions ◽  
Long Run ◽  
Pass Through ◽  
Exchange Rate Changes ◽  
High Level ◽  
Exchange Rate Pass Through

Exchange Rate Pass-Through is an approximation of international macroeconomic transmission of prices and thus has implications for the timing of economic policy interventions. Hence, the degree and speed of pass-through is important for formulating policy responses to economic shocks. In this study, the researcher evaluated some channels and impacts of exchanges rate pass-through on the Nigerian economy during the period spanning from 1981 to 2018. Unit root and co-integration tests, as well as the error regression analysis on the time series data for the period 1981-2018 were carried out. The empirical outcomes indicated that Exchange rate changes pass-through interest rate and inflation rate channels on both short and long run and thus significantly affected interest rates and prices of goods and service in Nigeria during the study period. These outcomes yielded key policy insights and outlook which made the researcher to recommend amongst others that Government should ensure that the interest rates are brought to a level that will enable producers access investible funds. When there is high level of funds for production, exports would likely increase ceteris paribus, there by an increase in the foreign exchange earnings for the country and an appreciation of the naira.

scholarly journals Macroeconomic variables and banking sector development: Evidence from Nigeria

2020 ◽  
Vol 8 ◽  
pp. 288-301
Author(s):  
Ojo Johnson Adelakun ◽  
Babatunde Afolabi ◽  
Uwasejike B Abuh
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Banking Sector ◽  
Time Series Data ◽  
Oil Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Banking Sector Development ◽  
Bound Test

The study assessed the relationship between Macroeconomic Variables and Development in the Nigerian Banking Sector using annual time series data. Models were specified using Ratio of Credits to Private Sector to Gross Domestic Product (GDP) as a proxy for Banking Sector Development. At the same time, GDP growth rate, Poverty, Exchange Rate, Oil Price, Poverty, Money Supply, Inflation, and Interest rates were the selected Macroeconomic Variables used in the study. Data used were sourced from the Statistical Bulletin of Central Bank of Nigeria (CBN) for various editions and estimated using ARDL Bound Test and Vector Error Correction Mechanism (VECM). The study found that there exists a long-run relationship between Macroeconomic Variables selected and Banking Sector Development. The VECM coefficients revealed that all variables except Interest Rates have negative effects on Banking Sector Development. The VECM (-1), which showed the speed of adjustment, was rightly signed and significant, indicating a long-run causality relationship running from macroeconomic variables to banking sector development. The Impulse response from restricted VAR revealed that Banking Sector responded to the Macroeconomic Variables of which GDPGR and INT were transmitting negatively to Banking Sector Development while others were transmitting positive impulses. However, the variance decomposition found that oil price, followed by GDPGR and poverty, caused more variation in Banking Sector Development. In contrast, inflation and money supply caused the least variation in Banking Sector Development. The study, therefore, concluded that selected Macroeconomic Variables have a significant long-run relationship with Banking Sector Development. It is therefore recommended, among others that, Macroeconomic indicators should be well monitored and controlled using macroeconomic instruments promptly since when they are well managed would lead to a better developed Banking Sector in Nigeria.

scholarly journals The Long-Run and Short-Run Impacts of Investment, Export, Money Supply, and Inflation on Economic Growth In Indonesia

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
Erni Panca Kurniasih
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Error Correction ◽  
Money Supply ◽  
Time Series Data ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Long Run ◽  
Short Term Investment

ABSTRACTThe development of investment and exports in Indonesia shows an increase, as well as money supply, while the inflation rate shows a decline, but this is not always followed by increasing economic growth. This study aims to explain the relationship between investment, export, money supply and inflation with the economic growth in Indonesia. The data used was time series data from the first quarter in 2001 to the fourth quarter in 2014 and was analyzed using multiple regression models with Error Correction Model (ECM) and classical assumptions. The study findings show that in short-term investment, export, money supply and inflation are not significant to economic growth. In long-run, investment has negative and significant effect on the economic growth, while export, money supply and inflation have positive and significant effect on the economic growth in Indonesia. Bank Indonesia must applied a tight money policy consistently to achieve the long-term inflation target ABSTRAKPerkembangan investasi dan ekspor di Indonesia menunjukkan peningkatan, demikian pula jumlah uang beredar, sementara tingkat inflasi menunjukkan penurunan, namun hal tersebut tidak selalu diikuti dengan meningkatnya pertumbuhan ekonomi. Studi ini bertujuan untuk menjelaskan hubungan antara investasi, ekspor neto, jumlah uang beredar dan inflasi terhadap pertumbuhan ekonomi di Indonesia. Data yang digunakan adalah data time series dari kuartal pertama tahun 2001 hingga kuartal keempat tahun 2014 dan dianalisa dengan menggunakan model regresi berganda dengan Error Correction Model (ECM). Hasil studi menunjukkan  bahwa investasi, ekspor, jumlah uang beredar dan inflasi tidak signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka pendek. Investasi berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka panjang, sedangkan ekspor , jumlah uang beredar dan inflasi berpengaruh positif dan  signifikan terhadap pertumbuhan ekonomi di Indonesia. Bank Indonesia harus menerapkan kebijakan moneter yang ketat secara konsisten pada pencapaian sasaran inflasi jangka menenngah 

Monetary Policy and Nigeria's Trade Balance, 1980-2018

2021 ◽  
Vol 10 (1) ◽  
pp. 129-138
Author(s):  
Musa Abdullahi Sakanko ◽  
Kanang Amos Akims
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rates ◽  
Trade Balance ◽  
Time Series Data ◽  
Policy Instruments ◽  
Flexible Exchange Rate ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run

Several countries have integrated monetary easement into their foreign policy to faucet the gains from trade thereby, assuring that market forces determine monetary policy instruments such as interest rate and exchange rate. It is on this note and this paper empirically evaluate the effect of monetary policy on Nigeria's trade balance using the Autoregressive Distributed Lag Model on the time series data spanning from 1980 to 2018. The findings reveal that monetary policy tools of real interest and effective exchange rate have a long-run co-integration relationship and significant adverse effects on Nigeria's trade balance both in the short-run and long-run. Thus, the paper concludes that monetary policy is a veritable tool through which Nigeria can maintain a favorable trade balance. Therefore, policymakers should step on measures that will maintain low-interest rates to sustain a flexible exchange rate and remove all rigidities associated with the international payment system.JEL Classification: C22, E52, F13How to Cite:Sakanko, M. A., & Akims, K. A. (2021). Monetary Policy and Nigeria’s Trade Balance, 1980-2018. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 129-138. https://doi.org/10.15408/sjie.v10i1.18132.

scholarly journals Tractorisation and Agricultural Development in India

2013 ◽  
Vol 8 (4) ◽  
pp. 285-292
Author(s):  
Komol Singha
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Green Revolution ◽  
Series Data ◽  
Correction Model ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Technological innovations have had profound effect on agricultural sector in the post-Green Revolution period in India. With the inception of Green Revolution, mechanisation process, especially the application of tractor in agriculture sector had intensified. However, in 2000s, the pattern of mechanization has diversified slightly from the intensive tractorisation to other implements like, irrigation, fertilizer, harvester, energy and others. Using a time series data on tractorisation and agriculture GDP for 43 years, co-integration regression method was employed to understand short run equilibrium between the variables. Further, the Error Correction Model (ECM) result showed that elasticities of mechanization were 10.4 percent and 0.52 percent for the long-run and the short-run respectively. It implies that a positive impact of mechanization on agriculture GDP was found both in the short run and long-run.

scholarly journals Causality analysis between exports, imports and economic growth of Pakistan

2017 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Syyeda Farhana Shah ◽  
Saleem Khan ◽  
Abdur Rauf
Keyword(s):  
Time Series Data ◽  
Causal Relation ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Causality Analysis ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Adf Test

The objective of study is to identify causal relationships among the variables such as exports, imports and Gross Domestic Product (GDP) in case of Pakistan. The study uses time series data for the period from 1981-2016. Stationarity is checked with the Augmented Dickey Fullers' (ADF) test, and the Engle Grange approach is utilized to determine the long run relationship among variables of the study. Moreover, causality among the selected variables is tested by using the Vector Error Correction Model (VECM). We found that the causality runs from GDP to imports and exports. Furthermore, no causal relation is found from exports to GDP and from imports to GDP, but the causality goes from GDP to these two variables. The causality from GDP to exports and imports are positive and significant. Finally, the results indicate that the causal relationship between GDP and imports is stronger than the GDP and exports.

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