Asymmetric Effect of Fiscal Deficit on Current Account Deficit: Evidence from India

2021 ◽  
pp. 097226292110572
Author(s):  
Vishal Sharma ◽  
Masudul Hasan Adil ◽  
Sana Fatima ◽  
Ashok Mittal

This study has attempted to re-investigate the impact of fiscal deficit (FD) on current account deficit (CAD) (also known as twin deficit hypothesis) in India from 1970–1971 to 2018–2019 in the presence of private saving–investment gap (SI) and exchange rate (EXR). For the empirical investigation, the study has employed the nonlinear autoregressive distributed lag (NARDL) approach to cointegration. The NARDL results found the evidence of an asymmetric effect of FD, SI and EXR on CAD in the long run only. The obtained results support the traditional views of the Keynesian approach that FD has a positive impact on CAD, validates the existence of the ‘Twin Deficit Hypothesis’ in India. Further, results also depict that SI has a positive effect on CAD, whereas EXR has an adverse impact on CAD. From a policy standpoint, the asymmetric impact of FD on CAD provides strong reasons for conceiving policies that are adaptable to changing dynamics in internal as well as external sectors.

2020 ◽  
pp. 17-17
Author(s):  
Kosta Josifidis ◽  
Dragutinovic Mitrovic ◽  
Sladjana Bodor

This paper analyzes the effect of the fiscal deficit on the current account deficit in the European Union during the period 1995-2018. The purpose is to examine to what extent an increase in government spending affects the deterioration of terms of trade and contributes to increasing external imbalances. Econometric methods for heterogeneous panel data models are used to analyse the existence of a long-run relationship between the fiscal deficit and the current account. The empirical findings indicate that the twin deficits hypothesis is not confirmed for the whole European Union, but only for a certain number of member states, where a long-run relationship still exists, confirming the impact of the fiscal deficit on the current account.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Matheus Koengkan ◽  
Fábio José Figueira Sousa

The impact of wind power consumption on the labor market was analyzed for a panel of ten European Union countries in a period from 1990 to 2015. The Autoregressive Distributed Lag Methodology was used in order to decompose the total effect of wind power consumption on the labor market in its short- and long-run components. The empirical results indicate that wind power consumption has a positive impact of 0.0191 on the labor market, and oil consumption does not cause any impact whatsoever. 


2021 ◽  
Vol 9 (1) ◽  
pp. 50-70
Author(s):  
Adedayo Emmanuel Longe ◽  
Taiwo Matthew Adekoya ◽  
Caleb Olugbenga Soyemi ◽  
David Adeiza Agbanuji ◽  
Idowu Jacob Adekomi

Abstract The study examines the asymmetric impact of oil price and electricity consumption on economic growth in Nigeria between 1981 and 2018 using the Non-Linear Autoregressive Distributed Lag (NARDL) model. Results reveal that falling and increasing oil prices as well as gross capital formation affect economic growth in Nigeria negatively and significantly in the short-run, while electricity consumption affects economic growth positively and significantly in the short-run. In the long-run, the impact on economic growth of negative changes in oil price is negative and insignificant, while positive changes in oil price have a positive but insignificant impact on economic growth. The impact on the economic growth of electricity consumption remains positive but insignificant while that of gross capital formation is positive and significant. The results suggest that both in the short and the long run positive changes in oil price have greater impact on the economic growth than negative oil price changes. Capital formation is a significant determinant of Nigerian economic growth both in the short and the long run.


2019 ◽  
Vol 4 (1) ◽  
pp. 101-103
Author(s):  
Ahmed Balarabe Musa

The research is aimed at evaluating the existence of asymmetry or otherwise of the impact of devaluation of currency on inflation in Malaysia for the period 1970 – 2017. Non-linear autoregressive distributed lag model (NARDL) was used as the evaluation econometric tool of the research. The findings of the study reveal that devaluation of currency has an inflationary impact in both short run and long run. Whereas, revaluation of currency does not have any impact neither in the short run nor in the long run. This confirms the upward flexibility of the impact of the increases in the changes in the exchange rate on inflation at the same time reaffirms its rigidity downward.


2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.


2019 ◽  
Vol 1 (2) ◽  
pp. 25-32
Author(s):  
Richard Umeokwobi ◽  
Emeka Nkoro

This paper investigated the impact of tax revenue on private domestic investment in Nigeria from 1980 to 2018 using the modified ordinary least squares- Autoregressive distributed lag (ARDL). The paper used oil revenue, non-oil revenue, and Corporate Income Tax (CIT) as the independent variables while Private Domestic Investment (PDI) is the dependent variable. Oil revenue and non-oil revenue were used as a proxy for oil and non-oil tax. These data were obtained from secondary sources- central Bank of Nigeria, World Bank database and Federal Inland Revenue service statistical bulletin. The result showed that a long-run relationship exists between the aforementioned variables. Also, the paper revealed that oil and non-oil do not have a significant impact on PDI but CIT has a positive and significant impact on PDI. The paper recommends that proper measures/reforms should be put in place in order to reduce the impact of tax on private domestic investment in Nigeria.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 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. 


Author(s):  
Essa A. Alhannom ◽  
Ghaleb S. Mushabeb

This study aims to examine the determinants of workers’ remittances and their impact on economic growth in Yemen. Autoregressive Distributed Lag (ARDL) bounds test to co-integration and error correction model (ECM) were applied on data covering the period from 1990 to 2014. According to the model of remittances determinants, workers’ remittances in Yemen respond to the macroeconomic conditions of both the home and host countries. It is found that, in the long-run, migrant stock and income level at the host countries are positively and strongly influence remittances level, with a feeble impact of domestic inflation rates. The effect of the home country’s income seems to be positive but insignificant in explaining the behavior of remittances level. The model of economic growth suggests that, in the long-run,  the impact of workers’ remittances appears to be positive and moderate with positive and stronger influences observed for financial development and official development assistance. Accordingly, it is recommended that a lesser weight should be given to remittances in the strategic planning process, taking into consideration the increasing potentials of the conditions in the neighboring host countries to be changed. In addition, using remittances as a means of economic growth can be enhanced by encouraging migrants to direct their savings towards productive investment activities, and via formal channels.


2017 ◽  
Vol 2 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Eko Suprayitno ◽  
Mohamed Aslam ◽  
Azhar Harun

Zakat is intended to stimulate economic development, education, social, human resources empowerment, religion health, and insurance programs. The seven programs above are implemented by the Malaysian government to improve economic growth. The aim of the study is to examine the impact zakat on human development program in Malaysia using the Autoregressive Distributed Lag (ARDL) bound testing approach. The analysis was carried out for the period from 1980–2009. The finding of the research reveals that zakat has a positive and significant influence on human development in five state in the short and long run. Zakat in Malaysia can be used as tool of fiscal policy that is decided in the states of Malaysia to stimulate human development and economic growth in the long run. Keyword: Zakat, Human Development, Granger causality test


Author(s):  
Eyas Jafar Abdel Rahim

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.


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