scholarly journals The Unemployment Rate Amid the COVID-19 Pandemic: Propose the Best Practices Policy to Maintain Labor Market Stability

2021 ◽  
Vol 25 (1) ◽  
pp. 48
Author(s):  
Nazaruddin Malik ◽  
Muhammad Sri Wahyudi Suliswanto ◽  
Mochamad Rofik
Keyword(s):  
Labor Market ◽  
Granger Causality ◽  
Unemployment Rate ◽  
Aggregate Demand ◽  
Causality Test ◽  
Demand And Supply ◽  
Causality Tests ◽  
The Government ◽  
Labor System ◽  
The Impact

This study analyzes the impact of the shocks caused by the COVID-19 pandemic on the labor market. The research is vital for expanding the literature about maintaining the unemployment rate amid crisis, ultimately reducing unnecessary social costs. The quantitative approach in this study uses a Granger causality test to understand the effect of the shock caused by the COVID-19 pandemic on unemployment. Meanwhile, the qualitative approach in this study uses literature related to economic growth, crisis management, and unemployment. Granger causality tests show that economic slowdown hurts the unemployment rate. Based on discussion and synthesis from works of literature, this paper recommends some of the policies to maintain growth and prevent a more severe collapse in the labor market; the government needs to sustain aggregate demand and supply. Also, ensure the supply chain runs well amid various restrictions. Besides, this paper also proposes that the government maximizes alternative budget resources. Meanwhile, strengthening the labor system and developing health and food security industries must be a priority policy amid-post the pandemic.

FISCAL POLICY CHANGES AND LABOR MARKET DYNAMICS IN JAPAN’S LOST DECADE

2021 ◽  
pp. 1-40 ◽  
Author(s):  
Julen Esteban-Pretel ◽  
Xiangcai Meng ◽  
Ryuichi Tanaka
Keyword(s):  
Labor Market ◽  
Fiscal Policy ◽  
Unemployment Rate ◽  
Japanese Economy ◽  
Government Sector ◽  
Labor Market Dynamics ◽  
Lost Decade ◽  
The Government ◽  
Market Variables ◽  
The Impact

Japan’s so-called Lost Decade of the 1990s presents a unique case study of an economy with a recent severe and prolonged recession, with large changes in the labor market and fiscal policy as the main policy available to the government. Japanese unemployment rate surged from 2.1% in 1991 to 5.4% in 2002. Meanwhile, the Japanese economy experienced a rise in government expenditures, while taxes remained fairly stable. This paper quantitatively evaluates the impact of these changes in fiscal policies on labor market variables, in particular the unemployment rate, during the 1990s. We build, calibrate, and simulate a dynamic general equilibrium model with search frictions in the labor market, a productive government sector, heterogenous government spendings, and different categories of taxes. Our model is able to reproduce the paths of the main labor market variables, and the counterfactual experiments show that the changes that took place in the different spending components affected the unemployment rate heterogeneously, although overall they kept unemployment lower than it could have been. We also find that had the government also implemented countercyclical tax policies, unemployment would not have risen as much as it did by 2002.

scholarly journals The Impact of Bank Credits on the Manufacturing Sector in Nigeria (1980-2015)

2019 ◽  
pp. 1-18
Author(s):  
Otubu, Osaretin Paul
Keyword(s):  
Error Correction ◽  
Granger Causality ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Error Correction Model ◽  
Ordinary Least Squares ◽  
Causality Test ◽  
Correction Model ◽  
The Government ◽  
The Impact

The study examined the impact of bank credits on the manufacturing sector in Nigeria from 1980 to 2015. The broad objective of the study is to examine the impact of bank credits on the manufacturing sector in Nigeria between 1980 and 2015. The econometrics methods of ordinary least squares, co-integration, error correction model and granger causality test were used as the main analytical tools. From the estimated error correction model, we found that bank credits to the manufacturing sector had a positive impact on the manufacturing sector output. Government expenditure, gross capital formation and tertiary school enrolment conforms to apriori expectation. A bank credit was found to be necessary for influencing or boosting manufacturing sector output. In addition, the granger causality result reveals that there is causal relationship between bank credits and manufacturing sector output in Nigeria. It is therefore recommended that the cost of borrowing should be reduced, and relevant authorities should maintain a sustained effort aimed at making sure that banks strictly comply with the credit concession granted to the manufacturing sector, and the government should provide social amenities and conducive environment for industrialization.

scholarly journals The Impact of Foreign Direct Investment on Trade (Export and Import) in Turkey

2019 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Mehman Karimov
Keyword(s):  
Foreign Direct Investment ◽  
International Trade ◽  
Granger Causality ◽  
Direct Investment ◽  
Empirical Studies ◽  
Causality Test ◽  
Lag Selection ◽  
Causality Tests ◽  
The Impact ◽  
The Relationship

It is said that after globalization processes foreign direct investment start to influence trade moreover it is very complicated to deduce the relationship between trade and FDI according to theoretical analysis. Therefore, empirical studies showed that until the 1980s international trade generated direct investment but after 1980s FDI started to heavily influencing international trade. Also, results showed that the relationship can differ from one country to another. Thus, this paper is aimed to analyze the impact of Foreign Direct Investment inflow on the macroeconomic variable as a Trade (Export, Import) in Turkey. The paper covers the time period from 1974 to 2017. The time series datasets, those are obtained from World Bank and IMF database are utilized in employed statistical models as ADF Unit Root, VAR lag selection, Johansen co-integration, and the Granger Causality tests, to fulfill empirical part of the paper. Based on results, it was confirmed that there was the presence of the co-integration between analyzed series. Additionally, results of Granger causality test showed that there is unidirectional causality from Export and Import to FDI.

Intertemporal change in the effect of economic growth on carbon emission in China

2021 ◽  
pp. 0958305X2110086
Author(s):  
Jingwen Zhang ◽  
Yin Dai ◽  
Chi-Wei Su ◽  
Dervis Kirikkaleli ◽  
Muhammad Umar
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Carbon Emissions ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Causality Test ◽  
Industrial Upgrading ◽  
Full Sample ◽  
Causality Tests ◽  
The Government

This research examines the factor of causality between the variables of economic growth and carbon emissions in China, by conducting full, and sub-sample Granger causality tests for the period of 1965 to 2019. The full-sample Granger causality test is not considered to be authentic, and is rather unstable, as indicated by the parameter stability tests. Therefore, we consider the time variation using a causality test, and the results indicate that the causality exists from the Gross Domestic Product (GDP) growth to the Carbon Dioxide (CO2) emissions. This development essentially suggests that economic growth is critical for China's environment. It also implies that carbon emissions are mainly determined by the increase in economic growth, at some specific period in time. Thus, in this regard, the use of renewable energy sources should be encouraged by policymakers, in order to deal with rise in the energy demand, and promote industrial upgrading, so as to slow down the rate degradation that the environment have been experiencing. However, our empirical results indicate that CO2 emissions are not the Granger reason to GDP. In this case, the government can formulate more conservative reduction policies that pertain to carbon emissions, and will therefore, not impede the economic growth.

scholarly journals The Impact of Foreign Direct Investment on Trade (Export and Import) in Turkey

2019 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Mehman Karimov
Keyword(s):  
Foreign Direct Investment ◽  
International Trade ◽  
Granger Causality ◽  
Direct Investment ◽  
Empirical Studies ◽  
Causality Test ◽  
Lag Selection ◽  
Causality Tests ◽  
The Impact ◽  
The Relationship

It is said that after globalization processes foreign direct investment start to influence trade moreover it is very complicated to deduce the relationship between trade and FDI according to theoretical analysis. Therefore, empirical studies showed that until the 1980s international trade generated direct investment but after 1980s FDI started to heavily influencing international trade. Also, results showed that the relationship can differ from one country to another. Thus, this paper is aimed to analyze the impact of Foreign Direct Investment inflow on the macroeconomic variable as a Trade (Export, Import) in Turkey. The paper covers the time period from 1974 to 2017. The time series datasets, those are obtained from World Bank and IMF database are utilized in employed statistical models as ADF Unit Root, VAR lag selection, Johansen co-integration, and the Granger Causality tests, to fulfill empirical part of the paper. Based on results, it was confirmed that there was the presence of the co-integration between analyzed series. Additionally, results of Granger causality test showed that there is unidirectional causality from Export and Import to FDI.

scholarly journals Fiscal Policy, Monetary Policy and Price Volatility: Evidence from an Emerging Economy

2021 ◽  
Vol 12 (1) ◽  
pp. 57-70
Author(s):  
Le Thanh Tung
Keyword(s):  
Monetary Policy ◽  
Fiscal Policy ◽  
Granger Causality ◽  
Impulse Response Function ◽  
Price Volatility ◽  
Granger Causality Test ◽  
Causality Test ◽  
Study Results ◽  
The Government ◽  
The Impact

Vietnam is an Asian emerging country, which now is ranked in the group of the fastest-gro- wing economies worldwide. However, this economy has faced galloping inflation in recent years. So the Vietnamese experience is a valuable reference for the policymakers in the developing world in order to successfully control price volatility. Our study applies the Vector autoregressive method, the Johansen cointegration test, and the Granger causality test to examine the impact of fiscal and monetary policy on price volatility in Vietnam with a quarterly data sample collected over the period from 2004 to 2018. The study results confirm the existence of a long-term cointegration relationship between these policies and price volatility in Vietnam. Besides, the variance decomposition and impulse response function also show that the impact of these policies on inflation is clear, however, the fiscal policy more strongly affects inflation than the monetary policy. Finally, the Granger causality test also indicates one-way causality relationships from the government expenditure as well as the exchange rate to price volatility in the study period.

scholarly journals Fiscal Policy, Monetary Policy and Price Volatility: Evidence from an Emerging Economy

2022 ◽  
Author(s):  
Le Thanh Tung
Keyword(s):  
Monetary Policy ◽  
Fiscal Policy ◽  
Granger Causality ◽  
Impulse Response Function ◽  
Price Volatility ◽  
Granger Causality Test ◽  
Causality Test ◽  
Study Results ◽  
The Government ◽  
The Impact

Vietnam is an Asian emerging country, which now is ranked in the group of the fastest-gro-wing economies worldwide. However, this economy has faced galloping inflation in recent years. So the Vietnamese experience is a valuable reference for the policymakers in the developing world in order to successfully control price volatility. Our study applies the Vector autoregressive method, the Johansen cointegration test, and the Granger causality test to examine the impact of fiscal and monetary policy on price volatility in Vietnam with a quarterly data sample collected over the period from 2004 to 2018. The study results confirm the existence of a long-term cointegration relationship between these policies and price volatility in Vietnam. Besides, the variance decomposition and impulse response function also show that the impact of these policies on inflation is clear, however, the fiscal policy more strongly affects inflation than the monetary policy. Finally, the Granger causality test also indicates one-way causality relationships from the government expenditure as well as the exchange rate to price volatility in the study period.

scholarly journals Zakat Distribution and Growth in the Federal Territory of Malaysia

2012 ◽  
Vol 4 (8) ◽  
pp. 449-456
Author(s):  
Mohammed B. Yusoff
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Causality Test ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Cointegration Tests ◽  
Causality Tests ◽  
Short Run ◽  
The Impact

This research paper aims to examine the impact of zakat distribution on growth in the Federal Territory Malaysia. Specifically, an econometric study is carried out to examine the ability of zakat expenditure to affect real economic growth in the Federal Territory Malaysia by employing various econometric procedures such as the unit root tests, the cointegration tests, the vector error-correction model (VECM), and the Granger causality tests. The findings of the study suggest that zakat expenditure has a positive relationship with real GDP in the long-run. The Granger causality test indicates that zakat spending causes real economic growth with no feedback. In other words, zakat expenditure could boost GDP in the Federal Territory Malaysia both in the short-run and long-run.

Financial development, oil dependence and economic growth

2017 ◽  
Vol 34 (2) ◽  
pp. 281-298 ◽  
Author(s):  
Ramez Abubakr Badeeb ◽  
Hooi Hooi Lean
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Content Type ◽  
The Government ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to examine the validity of the question of whether oil dependence has a negative impact on the relationship between financial development and economic growth in Yemen. Design/methodology/approach The auto-regressive distributed lag approach for cointegration is used to examine the relationship between financial development and economic growth by capturing the impact of oil dependence on this relationship. The Granger causality test, based on a vector error correction model (VECM) framework, is used to investigate the causal relationships between financial development and economic growth. Findings The most interesting finding is the negative sign of interaction term between financial development and oil dependence, which implies that the positive effect of financial development on economic growth decreases with the increasing oil dependence. The result of the VECM Granger causality test revealed the existence of unidirectional causality running from financial development to economic growth. Research limitations/implications The short sample period and the worry of losing degrees of freedom limited us when including control variables in the model. If the data are available in the future, other control variables can be added. Practical implications The government should reduce the level of oil dependence in Yemen by diversifying the country’s economy. Accelerating the pace and efficiency of the financial sector will bear fruitful returns in this regard. The government could achieve this strategy by playing a more proactive role in encouraging the expansion of credit to enable the financial sector to provide a more efficient intermediary role in mobilizing domestic savings and channeling them to productive investments across various economic sectors. Originality/value This is the first study to examine the impact of oil dependence on the finance-growth nexus in Yemen. A new indicator for oil dependence is also proposed.

Tax revenue and economic growth in developing country: an autoregressive distribution lags approach

2020 ◽  
Vol 7 (54) ◽  
pp. 205-217
Author(s):  
Mnaku Honest Maganya
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Testing Procedure ◽  
Gdp Growth ◽  
Bounds Testing ◽  
Causality Test ◽  
Significance Level ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
The Government

AbstractTanzania, like most other developing countries, faces numerous economic challenges in striving to achieve sustainable economic growth and development through taxation. In the literature, the debate on how effective taxes are as a tool for promoting economic growth and economic development remains inconclusive, as various research have reported mixed effects of tax on economic growth. This article investigates the effect of taxation on economic growth in Tanzania using the recently developed technique of autoregressive distributed lag model (ARDL) bounds testing procedure for the period from 1996 to 2019. Various preliminary tests were conducted including stationary tests as well as the pair-wise Granger causality test. According to the results obtained, domestic goods and services (TGS) taxes are positively related to GDP growth and are statistically significant at 1% level. Income taxes, on the other hand, were found to be negatively related to GDP growth and to be statistically significant at 5% level. The pair-wise Granger causality results indicated that there is bidirectional Granger causality between TGS and GDP growth at 1 % significance level. The government should aim at growing, nurturing and sustaining tax base to positively drive economic growth even further.

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