scholarly journals Fiscal Sustainability in the European Countries: A Panel ARDL Approach and a Dynamic Panel Threshold Model

2020 ◽  
Vol 12 (20) ◽  
pp. 8505 ◽  
Author(s):  
María del Carmen Ramos-Herrera ◽  
María A. Prats
Keyword(s):  
Threshold Model ◽  
Fiscal Sustainability ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
Ardl Approach ◽  
Panel Granger Causality ◽  
Potential Gdp ◽  
The Government ◽  
First Time

We analyze the fiscal sustainability hypothesis for a panel of 20 European Union countries from 2000 to 2019. In particular, we employ new econometric methodologies that, to the best of our knowledge, are applied for the first time to the study of sovereign fiscal policy sustainability in these economies. Specifically, we estimate the panel ARDL technique, distinguishing between short- and long-run coefficients because the order of integration of our variables is not the same. Moreover, a panel threshold model with endogeneity is considered to investigate whether, departing from a particular threshold, there is different behavior between the government primary balance and public debt, both taken as a ratio of potential GDP. Finally, the panel Granger causality test is implemented to determine the direction of causality or the existence of bidirectional causality.

scholarly journals Labor efficiency, government spending and productivity nexus based on panel ARDL approach: Evidence from selected European countries

2020 ◽  
Author(s):  
Wen Xuezhou ◽  
Rana Yassir Hussain ◽  
Haroon Hussain ◽  
Muhammad Saad ◽  
Sikandar Ali Qalati ◽  
...  
Keyword(s):  
Government Spending ◽  
Negative Impact ◽  
Human Life ◽  
Government Expenditure ◽  
European Countries ◽  
Panel Ardl ◽  
Long Run ◽  
Ardl Approach ◽  
Significant Negative Impact ◽  
The Government

Abstract The current study advocates the role of efficient labor, average gross earnings per person, government spending, and quality of human life in defining the productivity of thirteen European countries. This study applied panel ARDL approach for data period ranging from 2001 to 2016. The results, in the long run, suggested that more efficient labor, increased gross earnings, and higher HDI causes higher productivity in the selected European countries. However, the results for the gross earnings were positive but insignificant. Government spending and inflation had a significant negative impact on productivity. These results suggest to keep inflation in check and limit the government expenditure to human development and to the productive uses in the selected countries.

Corruption – Poverty Nexus: Evidence from Panel ARDL Approach for SAARC Countries

2022 ◽  
pp. 205789112110694
Author(s):  
Thanabalasingam Vinayagathasan ◽  
Ramasamy Ramesh
Keyword(s):  
Random Effect ◽  
Participation Rate ◽  
Women's Labor ◽  
Causality Test ◽  
Panel Ardl ◽  
Pooled Mean Group ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Women's Labor Force Participation

The article intends to investigate the relationship between corruption and poverty based on the panel data of SAARC countries over the period 1996–2019. We employed the panel ARDL of pooled mean group (PMG) technique to analyze the data and focus on capability poverty, using the human development index (HDI) as a proxy for poverty. The empirical findings of PMG of the ARDL model suggest that an increase in corruption score (COC) (i.e. decrease in corruption) and increase in women’s labor force participation rate (WLFPR) seem to have a significant impact either in eradicating poverty or increasing social welfare in the long run as well as in the short run. A random effect (RE) model also identified a significant positive relationship between corruption score and HDI, and WLFPR and HDI. A Dumitrescu-Hurlin pairwise panel Granger non-causality test detected a bilateral causality relationship between COC and HDI, and WLFPR and HDI, while unilateral causality ran from WLFPR to COC. The article contributes to examining the dynamics between corruption and poverty from the governance aspect, taking South Asia as a case study.

scholarly journals FDI and Economic Growth in EU13 Countries: Cointegration and Causality Tests

2020 ◽  
Vol 12 (3) ◽  
pp. 47-63
Author(s):  
Vlatka Bilas ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
European Union ◽  
Annual Data ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
Causality Tests ◽  
The Relationship

Foreign direct investments are seen as a prerequisite for gaining and maintaining competitiveness. The research objective of this study is to examine the relationship between foreign direct investment (FDI) and economic growth in “new” European Union member countries using various unit root, cointegration, as well as causality tests. The paper employs annual data for FDI and gross domestic product (GDP) from 2002 to 2018 for the 13 most recent members of European Union (EU13): Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia. An estimated panel ARDL (PMG) model found evidence that there is a long-run equilibrium between the LogGDP, LogFDI and LogFDIP series, with the rate of adjustment back to equilibrium between 3.27% and 20.67%. In the case of the LogFDI series, long-run coefficients are highly statistically significant in all four models, varying between 0.0828 and 0.3019. These coefficients indicate that a 1% increase in LogFDI increases LogGDP between 0.0828% and 0.3019%. Results of a Dumitrescu-Hurlin panel causality test indicated that a relationship between the GDP growth rate and FDI growth rate is only indirect. Finally, only weak evidence was shown that FDI had a statistically significant impact on GDP in the EU13 countries over the period 2002-2018. This report of findings contributes to the literature concerning FDI and economic growth, namely regarding the current understanding of the relationship between these two factors.

scholarly journals The Nexus between Export and Economic Growth in Tanzania

2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Causality Test ◽  
Goods And Services ◽  
Long Run ◽  
Causality Tests ◽  
The Government ◽  
Econometrics Analysis

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.

scholarly journals General Patterns and Drivers of Changes in Employment Structure: Evidence from Five European Countries

2020 ◽  
Vol 67 (3) ◽  
pp. 333-362
Author(s):  
Larysa Yakymova
Keyword(s):  
Service Sector ◽  
Structural Changes ◽  
National Level ◽  
Active Phase ◽  
Growth Effect ◽  
Causality Test ◽  
Long Run ◽  
Ardl Approach ◽  
Impact Of Urbanization ◽  
The Impact

This paper seeks to answer whether the general patterns and drivers of the sectoral employment shifts depend on a country’s level of development. To accomplish this, we examined employment in Germany, Hungary, Poland, Romania and Ukraine at the national level (1998-2018) using econometric analysis, and at the regional NUTS2 level (2009-2018) using shift-share analysis. We obtained evidence that the general trend is the service sector expansion. Using the ARDL approach and the Granger causality test, we identified long-run unidirectional causality running from income proxies to employment in services in all countries except Romania, where the opposite causality was found. We revealed that household income moderates the impact of urbanization on service sector growth in all countries except Poland. At the regional level, the change in the employment rate in services is explained by the national growth effect and slightly by the industry-mix effect if the active phase of structural changes is completed.

PENGUJIAN WAGNER'S LAW VERSUS KEYNESIAN HYPOTHESIS: PENDEKATAN REGIONAL INDONESIA

2021 ◽  
Vol 2 (2) ◽  
pp. 181-193
Author(s):  
Esti Pasaribu ◽  
Septriani Septriani
Keyword(s):  
Government Expenditure ◽  
Granger Causality Test ◽  
Empirical Theory ◽  
Causality Test ◽  
Wagner’S Law ◽  
Long Run ◽  
Wagner's Law ◽  
The Government ◽  
The Relationship ◽  
Positive Effect

In this paper, we tested the Wagner’s Law against the Keynesian Hypothesis for Indonesia using granger causality test. After conducting theoretical and empirical theory, this paper is analysing the relationship between government expenditure and GDP percapita. The long run parameters and causality test found valid Wagners’ Law in Indonesia not Keynesian Hypothesis. The results reveal a positive and statistically significant long run effect running from economic growth toward the government expenditure refer to Wagner’s Law in Indonesia. Further more, the growth of population is giving a positive effect for government expenditure also.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

AN ANALYSIS OF THE MANAGEMENT OF FISCAL DEFICIT OF PAKISTAN: AN ECONOMETRIC STUDY OF AUTO-REGRESSIVE DISTRIBUTIVE LAGS (ARDL) APPROACH

2018 ◽  
pp. 1-30 ◽  
Author(s):  
KHURRAM EJAZ CHANDIA ◽  
MUHAMMAD BADAR IQBAL ◽  
SAIRA AZIZ ◽  
IFRA GUL ◽  
BINESH SARWAR
Keyword(s):  
Fiscal Policy ◽  
Federal Government ◽  
Government Expenditures ◽  
Fiscal Deficit ◽  
Policy Reforms ◽  
Causality Test ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive

Fiscal policy is an essential ingredient of economic performance. The fiscal policy is considered as a short-run measure; however, this has long-lasting outcomes for any economy. The current study has examined the connection among different constituents of fiscal policy, i.e., federal government revenues and federal government expenditures; federal government revenues and different components of federal government expenditures; federal government expenditures and different components of federal government revenues and fiscal deficit and influential budgetary variables in the context of the economy of Pakistan. The study has empirically investigated the relationship among the budgetary variables for Pakistan from 1979 to 2017. For data analysis, time-series econometric techniques such as auto-regressive distributive lag (ARDL) approach and Granger causality test have been employed. The results of ARDL bounds test approach suggest the existence of long-run equilibrium relationship among the variables. The result of CUSUM and CUSUMSQ shows the stability of functional relationship tested in this study, which means that model is a useful instrument for policymaking. So, a rise or fall in budgetary variables causes changes in fiscal deficit in long run. The results of study endorse the proof of spent-and-tax hypothesis in the economy of Pakistan. The study suggests the need for extensive fiscal policy reforms in Pakistan.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

scholarly journals Co-integration of Groundnut Markets in India with Special Reference to Karnataka State

2020 ◽  
pp. 14-22
Author(s):  
Akshata Nayak ◽  
H. Lokesha ◽  
C. P. Gracy
Keyword(s):  
Market Integration ◽  
Unit Root Test ◽  
Groundnut Oil ◽  
Step Method ◽  
Causality Test ◽  
Price Series ◽  
Long Run ◽  
Oil Markets ◽  
Integration Test ◽  
The Government

Aims: Market integration is an indicator that explains how different markets are related to each other. The main aim of the paper is to examine the market integration of groundnut seed and oil markets in India.  Study Design: This paper examines the market integration in six major groundnut oil markets and four groundnut pod markets using monthly wholesale prices of groundnut. Methodology: Test for stationarity was done using Dickey Fuller Test. The Engle-Granger two-step method is used to test for co-integration between the variables. Johansen co-integration test was applied to analyse the long run equilibrium among the groundnut markets. Results: Unit root test indicated that the price series in each location are non-stationary at their levels and stationary at their first differences. The Granger causality test indicated that all the market pairs are well co-integrated, some of the markets have bidirectional relationship and some have unidirectional relationship at five per cent level of significance, which implies that the groundnut prices have an equally long run association. Conclusion: In overall, the study suggests that regional markets for groundnut in India are strongly co-integrated. Therefore, the Government can stabilize the price in one key market and rely on commercialization to produce a similar outcome in other markets. This reduces the cost of stabilization considerably.

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