scholarly journals The relationship retail trade and economic growth in Ho Chi Minh City

2018 ◽  
Vol 1 (Q5) ◽  
pp. 44-51
Author(s):  
Lien Phuong Hoang
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Retail Trade ◽  
Ho Chi Minh City ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

This study analyzes the relationship between retail trade and economic growth in Ho Chi Minh City. The research employed Vector Error Correction Model (VECM) method for the time series data collected from the period 1995 – 2015. The result shows that retail sales enhances economic growth and changes in growth has a positive impact on retail trade in Ho Chí Minh City. That not only confirms Keynes's Keynesian Growth Theory, but also evaluates the importance of retail trade in the economy of Ho Chi Minh City.

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.

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 Vector error correction model to analyze energy uses, environmental quality and economic growth during Covid-19 Pandemic

2021 ◽  
Vol 926 (1) ◽  
pp. 012066
Author(s):  
I Fahria ◽  
I Sulistiana
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Environmental Quality ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Cointegration Relationship

Abstract Time series data commonly show are interconnected behaviour and non-stationer interrelated variables, so a model that able to obtain a good forecasting result from a non-stationary multivariate variables time series data are needed. Vector Error Correction Model (VECM) is one of multivariate time series model which is a vector form of Vector Autoregressive Boundary (VAR) for non-stationary time series data and has a cointegration relationship. The purpose of this study is to identify the VECM model in analyzing the relationship between energy use, environmental quality (CO2), and economic growth (GDP) during the Covid-19 pandemic that plagued Indonesia. The results of this study explained energy uses and and environmental quality (CO2) and economic growth (GDP) are interrelated and have a long-term cointegration relationship due to the influence of the Covid-19 pandemic.

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

2017 ◽  
Vol 9 (3) ◽  
pp. 152
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 Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4(J)) ◽  
pp. 164-172
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.

scholarly journals The Influence of Economic Transformation From The Agricultural Sector To The Industrial Sector To Economic Growth In Indonesia

2018 ◽  
Vol 1 (1) ◽  
pp. 6-11
Author(s):  
Abdulrahman Taresh Abdullah ◽  
Mohammad Wasil
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Industrial Sector ◽  
Economic Transformation ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Industrial Sectors ◽  
Vector Error

The purpose of this research is the research and development of the industrial sector's economy to the agricultural sector, as well as the influence of agricultural and industrial sectors on economic growth in Indonesia. The data used is time series data, 1960-2015. The method used in this research is Vector Error Correction Model (VECM). From the estimation results, it is concluded that the economic growth rate and the industrial sector negatively affect the agricultural sector, it can be said that the increasing economic growth achieved in Indonesia has increased the industrial sector and lower the agricultural sector. While the results of research that the agricultural sector negatively affect the economic growth while the industrial sector positively affects economic growth, in the sense that the agricultural sector has a bad contribution in economic growth in Indonesia.

scholarly journals The National Banking Crisis in Applied Early Warning System (EWS)

2018 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Nadia Sasri W
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Warning System ◽  
Industrial Sector ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Industrial Sectors ◽  
Vector Error

The purpose of this research is the research and development of the industrial sector's economy to the agricultural sector, as well as the influence of agricultural and industrial sectors on economic growth in Indonesia. The data used is time series data, 1960-2015. The method used in this research is Vector Error Correction Model (VECM). From the estimation results, it is concluded that the economic growth rate and the industrial sector negatively affect the agricultural sector, it can be said that the increasing economic growth achieved in Indonesia has increased the industrial sector and lower the agricultural sector. While the results of research that the agricultural sector negatively affect the economic growth while the industrial sector positively affects economic growth, in the sense that the agricultural sector has a bad contribution in economic growth in Indonesia.

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Jumlah Penghimpunan Zakat di Indonesia

2020 ◽  
Vol 25 (2) ◽  
pp. 199
Author(s):  
Sheema Haseena Armina
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Dollar Exchange Rate ◽  
Vector Error Correction ◽  
Vector Error ◽  
Analysis Technique

Purpose this study analyzes the effect of the industrial production index, the dollar exchange rate, inflation and the BI 7DRR on the amount of zakat collection from January 2015 to December 2018to identify the potential of zakat to support alleviation in Indonesia. Methodology/Approach: this study uses a quantitative approach with a Vector Error Correction Model (VECM) data analysis technique with time series data from Januari 2015 t0 December 2018. Findings: The results show that in short term causality, there is an effect between long-term and short-term between zakat as the dependent variable with inflation and the dollar exchange rate. However, there is no short-term causality effect between BI 7-DRR and IPI to the amount of zakat while the long-term causality effect, all independent variables have a significant effect to the dependent variable namely zakat. Implications: The integration of Islamic philanthropic institutions has the potential to channel aid and support to alleviate poverty. This study adds the IPI variable to interpret the GDP variable in analyzing its effect on zakat.

scholarly journals Budget Deficits and Economic Growth: A Vector Error Correction Modelling of South Africa

2017 ◽  
Vol 9 (2(J)) ◽  
pp. 215-223
Author(s):  
Kagiso Molefe ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Budget Deficit ◽  
Time Series Data ◽  
Series Data ◽  
Budget Deficits ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

The primary motivation behind this study was to explore the consequential effects of budget deficit on South Africa`s economic growth. Six variables were used, namely: real GDP, budget deficit, real interest rate, labour, gross fixed capital formation and unemployment. The Vector Error Correction Model (VECM) was used to estimate the long-run equation and also measure the correction from disequilibrium of preceding periods. Using annual time series data spanning the period 1985 to 2015, empirical evidence from the study revealed that budget deficits and economic growth are inversely related. It was therefore concluded that high levels of budget deficit in South Africa have detrimental effects on the growth of the economy. The estimate of the speed of adjustment coefficient found in this study revealed that about 29 per cent of the variation in GDP from its equilibrium level is corrected within one year. The results obtained in this study are favourably similar to those in the literature and are also sustained by previous studies.

scholarly journals The Reform in Government Expenditure and the Standard of Living in Bahrain

2021 ◽  
Author(s):  
Fatema Alaali
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Time Series Data ◽  
Government Expenditure ◽  
Standard Of Living ◽  
Series Data ◽  
Vector Error Correction ◽  
Education And Health ◽  
Oil Revenues ◽  
The Relationship

The drop of oil prices since the second half of 2014 have affected the credit risk and liquidity situation in Bahrain. Therefore, Bahrain have implemented substantial economic diversification in the economic structure including manufacturing, refining, tourism, trade and finance. With the recognition of the importance of governments expenditure restructuring, Bahrain government introduced number of initiatives such as streamlining government expenditure, increasing revenues, and redirecting government subsidies towards eligible citizens. Understanding the relationship between revenues, government spending and economic growth is an essential perception in evaluating the efficiency of government’s strategy in managing its resources and the impact on the standard of living in any country. This chapter examines the relationship between total government expenditure as well as sectoral government spending (specifically education and health sectors), oil revenues and the economic growth of Bahrain using time series data over the period 1989–2015. To achieve this aim, the vector error correction model (VECM) is employed. In order to ensure the sustainability of resources and maintain economic growth, Bahrain should continue managing its expenditure, by cutting down expenses on certain sectors through privatization, and increasing spending on health and education sectors.

Sign in / Sign up

Export Citation Format

Share Document