scholarly journals The Relationship between Government Debt and Social Welfare

2021 ◽  
Vol 19 (1) ◽  
pp. 125-134
Author(s):  
Muhammad Kivlan Reftreka Nugraha ◽  
Hefrizal Handra
Keyword(s):  
Social Welfare ◽  
Negative Correlation ◽  
Government Debt ◽  
Poverty Rate ◽  
Gdp Per Capita ◽  
Poverty Level ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
The Relationship

This study aims to analyze the relationship between government debt and social welfare in Indonesia in 1980-2019. The data used in this research is secondary data using time series data. The analysis used is the Error Correction Model (ECM). The findings result from the first model show that in the short-run, additional debt-to-GDP was not significant to the poverty level and GDP per capita. Meanwhile, the long-run, additional debt-to-GDP is significant to the poverty level and GDP per capita. The results also find that in the long run additional debt-to-GDP is positively correlated with poverty levels in Indonesia, meaning that additional debt-to-GDP increases the poverty rate in Indonesia. For GDP per capita, additional debt-to-GDP has a negative correlation. The inflation, tax-to-GDP, and GDP are not significant to the poverty rate in the short-run. Meanwhile, the long run, the additional debt-to-GDP ratio and GDP variable is significant to the poverty rate, and has a positif and negative correlation. The findings from second model also indicate that population and inflation are significant and positively correlated with the poverty level, but tax-to-GDP ratio is not significant on GDP per capita in the short-run. Meanwhile, the long run, the population and tax-to-GDP are significant to GDP per capita. Total population has a positive correlation, while tax-to-GDP ratio has a negative correlation.

scholarly journals Determinants of Household Debt in Botswana: 1994-2012

2015 ◽  
Vol 1 (1) ◽  
pp. 14 ◽  
Author(s):  
Faith M. Zimunya ◽  
Mpho Raboloko
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Gdp Per Capita ◽  
Household Debt ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
The Relationship

<p><em>The paper identifies the factors that are influential in determining the growth of household debt in Botswana. Understanding the relationship between household debt and other economic indicators is an important step towards formulating focused and effective policies that control the effects of household debt on the whole economy. Using quarterly data from the first quarter of 1994 to the second quarter of 2012,</em><em> </em><em>the paper employs the Vector Error Correction Model (VECM) to analyse the influence of </em><em>G</em><em>ross </em><em>D</em><em>omestic </em><em>P</em><em>roduct (GDP) per capita, interest rates, inflation, household consumption and money supply on household debt. The findings indicate that GDP per capita, interest rates and money supply determine changes in household debt in the long-run. Further analysis shows that lagged household debt, interest rates and money supply influence changes in household debt in the short-run.</em></p><p><em><br /></em></p>

scholarly journals An Empirical Analysis on the Relationship between Health Care Expenditures and Economic Growth in the European Union Countries

2018 ◽  
Vol 2 (1) ◽  
pp. 12
Author(s):  
Çiğdem Börke Tunalı ◽  
Naci Tolga Saruç
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Health Expenditure ◽  
Gdp Per Capita ◽  
The European Union ◽  
Long Run ◽  
European Union Countries ◽  
Short Run ◽  
Per Capita ◽  
The Relationship

This paper empirically investigates the relationship between health expenditure and economic growth in the European Union countries over the period 1995-2014. By using the Dumitrescu-Hurlin Test (Dumitrescu and Hurlin, 2012) which is developed to test Granger causality in panel datasets (Lopez and Weber, 2017), it is found that there is a unidirectional relationship between these variables and gross domestic product (GDP) per capita Granger causes health expenditure per capita. After determining the direction of the relationship between health expenditure per capita and GDP per capita we estimate the short run and the long run effects of GDP per capita on health expenditure per capita by using Mean Group (MG) and Pooled Mean Group (PMG) estimators which are developed by Pesaran and Smith (1995) and Pesaran, Shin and Smith (1999) respectively. According to the estimation results, GDP per capita has a positive effect on health expenditure per capita both in the short run and the long run.

scholarly journals An Empirical Analysis on the Relationship between Health Care Expenditures and Economic Growth in the European Union Countries

2021 ◽  
Vol 4 (2) ◽  
pp. 11
Author(s):  
Çiğdem Börke Tunalı ◽  
Naci Tolga Saruç
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Health Expenditure ◽  
Gdp Per Capita ◽  
The European Union ◽  
Long Run ◽  
European Union Countries ◽  
Short Run ◽  
Per Capita ◽  
The Relationship

This paper empirically investigates the relationship between health expenditure and economic growth in the European Union countries over the period 1995-2014. By using the Dumitrescu-Hurlin Test (Dumitrescu and Hurlin, 2012) which is developed to test Granger causality in panel datasets (Lopez and Weber, 2017), it is found that there is a unidirectional relationship between these variables and gross domestic product (GDP) per capita Granger causes health expenditure per capita. After determining the direction of the relationship between health expenditure per capita and GDP per capita we estimate the short run and the long run effects of GDP per capita on health expenditure per capita by using Mean Group (MG) and Pooled Mean Group (PMG) estimators which are developed by Pesaran and Smith (1995) and Pesaran, Shin and Smith (1999) respectively. According to the estimation results, GDP per capita has a positive effect on health expenditure per capita both in the short run and the long run.

The long run impact of immigration on labor market in an advanced economy

2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan
Keyword(s):  
Labor Market ◽  
Gdp Per Capita ◽  
Advanced Economy ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
The Usa ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.

Cointegration-causality analysis between terrorism and key macroeconomic indicators

2014 ◽  
Vol 41 (8) ◽  
pp. 664-682 ◽  
Author(s):  
Aisha Ismail ◽  
Shehla Amjad
Keyword(s):  
Research Work ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
Per Capita ◽  
The Relationship

Purpose – The purpose of this paper is two folds: first, to analyze the long-run relationship between terrorism and key macroeconomic indicators (GDP growth, GDP per capita, inflation and unemployment) and second, to determine the direction of causality between these variables in Pakistan. Design/methodology/approach – The relationship between terrorism and various macroeconomic indicators is analyzed by applying Johansen cointegration analysis. Furthermore, the causality between terrorism and macroeconomic indicators is tested by applying Toda Yamamoto Granger causality test. Findings – The results show that there exists a long-run relationship between terrorism and key macroeconomic indicators. Furthermore, the results suggest that there exists a bi-directional causality between terrorism and inflation. The causality between GDP per capita, unemployment, GDP growth and terrorism is unidirectional. Originality/value – There is a lack of research work conducted to analyze the long-run relationship and direction of causation between terrorism and various macroeconomic indicators specifically for Pakistan. The current paper fills the gap in the literature by using sophisticated econometric techniques and recent data set to provide the evidence of the relationship between terrorism and various macroeconomic indicators.

scholarly journals The Differential Impact of Financial Intermediation on Economic Growth in Oil-Dependent Economies

2018 ◽  
Vol 10 (3) ◽  
pp. 267-284
Author(s):  
Anthony Anyanwu ◽  
Christopher Gan ◽  
Baiding Hu
Keyword(s):  
Economic Growth ◽  
Panel Cointegration ◽  
Bank Credit ◽  
Gdp Per Capita ◽  
Differential Impact ◽  
Pooled Mean Group ◽  
Long Run ◽  
Panel Cointegration Test ◽  
Per Capita ◽  
The Relationship

This paper analyses the relationship between bank credit and economic growth. We extend existing literature by treating separately the oil and non-oil sectors of 28 oil-dependent economies from 1990-2012. We employ panel cointegration and pooled mean group estimation techniques which are appropriate for drawing conclusions from dynamic heterogenous panels. The results of the panel cointegration test indicate that bank credit has no significant long-run relationship with non-oil GDP per capita. The results of the pooled mean group estimator reveal no significant long-run impact of bank credit on non-oil GDP per capita. Overall results suggest that banks do not yet provide adequate credit to stimulate non-oil economic growth. The policy implication of our findings is that the financial sector should be more involved in productive investment activities to promote inclusive growth.

scholarly journals Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative

2020 ◽  
Vol 12 (4) ◽  
pp. 1478 ◽  
Author(s):  
Arifur Rahman ◽  
S. M. Woahid Murad ◽  
Fayyaz Ahmad ◽  
Xiaowen Wang
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Structural Breaks ◽  
Energy Use ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
Per Capita

This paper attempts to examine the environmental Kuznets curve (EKC) hypothesis for the BCIM-EC (Bangladesh–China–India–Myanmar economic corridor) member countries under the Belt and Road Initiative (BRI) of China. Both time series and panel data are covered, with respect to carbon dioxide (CO2) emissions, GDP per capita, energy use, and trade openness. For panel data analysis, GDP per capita and energy consumption have positive effects on CO2, while the effect of the quadratic term of GDP per capita is negative in the short-run. However, the short-run effects do not remain valid in the long-run, except for energy use. Therefore, the EKC hypothesis is only a short-run phenomenon in the case of the panel data framework. However, based on the Autoregressive Distributed Lag (ARDL) approach with and without structural breaks, the EKC hypothesis exists in India and China, while the EKC hypothesis holds in Bangladesh and Myanmar with regard to disregarding breaks within the short-run. The long-run estimates support the EKC hypothesis of considering and disregarding structural breaks for Bangladesh, China, and India. The findings of the Dumitrescu and Hurlin panel noncausality tests show that there is a unidirectional causality that runs from GDP per capita to carbon emission, squared GDP to carbon emission, and carbon emission to trade openness. Therefore, the BCIM-EC under the BRI should not only focus on connectivity and massive infrastructural development for securing consecutive economic growth among themselves, but also undertake a long-range policy to cope with environmental degradation and to ensure sustainable green infrastructure.

scholarly journals Impact of Fiscal Deficit and Government Debt on Interest Rate in Pakistan

2019 ◽  
pp. 1-17
Author(s):  
Najia Shakir ◽  
Sami Ullah ◽  
Salim Ullah Khan ◽  
Muhammad Qasim
Keyword(s):  
Interest Rate ◽  
Money Supply ◽  
Government Debt ◽  
Gdp Per Capita ◽  
Fiscal Deficit ◽  
Per Capita ◽  
The Government ◽  
The Interest Rate ◽  
Relationship Of ◽  
The Relationship

The current study was conducted in the year 2014 in Pakistan to investigate the impact of fiscal deficit and government debt on the interest rate.  Data on selected macroeconomic variables like fiscal deficit, government debt, GDP per capita, money supply and volume of trade etc. from the year 1990 to 2012.  The study also has tried to find out that how the interest rate in the country is affected by the government debt and fiscal deficit. Augmented Dickey-Fuller test was run to address the stationary issue in the data, and then Ordinary Least Square (OLS) model test was run to check the relationship among the variables. Two models were set in the study. In the first model, the relationship of GDP per capita, money supply, total debt servicing and volume of trade showed a significant relationship with the fiscal deficit, while in the second model the relationship of inflation, fiscal deficit, money supply, government debt and public debt showed a significant relationship with the interest rate. Policy makers are advised to focus on the increase of DGP/Capita and export volume. In order to sustain the rate of inflation, the government may regulate the money supply and public borrowing.

scholarly journals Nexus between China-Pak Business Cycle Synchronization and Human Development in Pakistan

2020 ◽  
Vol Volume 4 (Issue 3) ◽  
pp. 445-468
Author(s):  
Ali Abbas ◽  
Dr. Zahid Pervaiz
Keyword(s):  
Business Cycle ◽  
Human Development ◽  
Significant Relationship ◽  
External Debt ◽  
Gdp Per Capita ◽  
Business Cycle Synchronization ◽  
Independent Variables ◽  
Long Run ◽  
Short Run ◽  
Per Capita

This study has examined the potential impact of China-Pak business cycle synchronization on human development in Pakistan. Data covered the time span of 1975-2017. Other independent variables include inflation, GDP per capita, external debt and FDI. Results of unit root test showed that all variables were stationary with mixture of level and first difference. F-bounds test confirmed the presence of long run relationship among the variables. ARDL technique was applied to obtain long run coefficients. The study found that FDI and GDP per capita had positive and significant impact on human development while China-Pak business cycle synchronization, inflation and external debt had negative and significant relationship with human development in Pakistan. Results showed the value of error correction term -0.16 with 1 percent level of significance which confirmed the presence of short run equilibrium in the model. All independent variables had significant relationship with human development in the short run. CUSUM and CUSUMSQ stability tests showed that parameters of the model were stable. The study suggested that government should focus critically China-Pak business cycle synchronization to uplift human development in Pakistan for which domestic production should be promoted to facilitate domestic producers that might be helpful to improve employment level which finally can raise human development. Control on inflation is significant for the sake of human development. Policy makers should take steps for improvement in GDP per capita and FDI to encourage human development in Pakistan.

scholarly journals An Investigation of the Effects of the Official Development Assistance on GDP Per Capita in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 233-239
Author(s):  
Muhammad Tariq ◽  
Muhammad Jehangir ◽  
Hussain Ali
Keyword(s):  
Development Assistance ◽  
Official Development Assistance ◽  
Gdp Per Capita ◽  
Correction Coefficient ◽  
Use Of Time ◽  
Long Run ◽  
Short Run ◽  
Development Support ◽  
Per Capita ◽  
Relationship Of

The paper investigates the influence of official development support on Pakistan GDP per capita making use of time series yearly data from 1991 to 1917. ADF has been used for examining the level of integration of the data. After that, ARDL has been used for discovering the short and long-run relationship of the official development assistance and the GDP per capita. The results uncover that official assistance relationship with GDP per capita became negative in the short run in addition to a long-run period. In similar manner inflation also became negatively significant in the short and long run. Additionally, lag GDP per capita is positively significant. Population growth turned positively significant in the long run. In addition, it has become negatively significant in the short-run period of time. Furthermore, the Error Correction coefficient is –0. 83% and remained significant

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