scholarly journals The Remittances-Output Nexus: Empirical Evidence from Egypt

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Mesbah Fathy Sharaf
Keyword(s):  
Economic Growth ◽  
Causal Link ◽  
Correction Model ◽  
Vector Error Correction ◽  
Equilibrium Dynamics ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Shed Light

This paper examines the long-run causal link between remittances and output in Egypt for the period 1977–2012. The long-run causal link is examined using the autoregressive distributed lag (ARDL) bounds test for cointegration, along with a vector error-correction model to estimate the short- and long-run parameters of equilibrium dynamics. Results show that remittances and GDP are cointegrated, with a statistically significant, positive causality running from remittances to output, while output is found not to be a long-run forcing factor of remittances in Egypt. The findings of this paper shed light on the importance of remittances for promoting economic growth in Egypt. Governmental policies that attract more remittance inflows, along with their efficient use, could promote economic growth in Egypt.

scholarly journals Are Energy Consumption, Population Density and Exports Causing Environmental Damage in China? Autoregressive Distributed Lag and Vector Error Correction Model Approaches

2021 ◽  
Vol 13 (7) ◽  
pp. 3749
Author(s):  
Mohammad Mafizur Rahman ◽  
Xuan-Binh (Benjamin) Vu
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Damage ◽  
Correction Model ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This paper investigates whether energy consumption, population density, and exports are the main factors causing environmental damage in China. Using annual data from 1971–2018, unit root tests are applied for the stationarity analyses, and Autoregressive Distributed Lag (ARDL) bounds tests are used for the long-run relationships between the variables. A Vector Error Correction Model (VECM) Granger approach is employed to examine the causal relationships amongst the variables. Our findings show that the selected variables are cointegrated, and that energy consumption and economic growth are identified as the main reasons for CO2 emissions in both the short-run and long-run. In contrast, exports reduce CO2 emissions in the long-run. Short-run unidirectional Granger causality is found from economic growth to energy consumption, CO2 emissions and exports, and from CO2 emissions to energy consumption and exports. Moreover, long-run causal links exist between CO2 emissions and exports. Five policy recommendations are made following the obtained results.

Enhancing Economic Growth and Government Revenue Generation in Nigeria: The Role of Diaspora Remittances

2021 ◽  
pp. 003464462110256
Author(s):  
Dal Didia ◽  
Suleiman Tahir
Keyword(s):  
Economic Growth ◽  
Parameter Estimates ◽  
Gross Domestic Product Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis

Even though remittances constitute the second-largest source of foreign exchange for Nigeria, with a $24 billion inflow in 2018, its impact on economic growth remains unclear. This study, therefore, examined the short-run and long-run impact of remittances on the economic growth of Nigeria using the vector error correction model. Utilizing World Bank data covering 1990–2018, the empirical analysis revealed that remittances hurt economic growth in the short run while having no impact on economic growth in the long run. Our parameter estimates indicate that a 1% increase in remittances would result in a 0.9% decrease in the gross domestic product growth rate in the short run. One policy implication of this study is that Nigeria needs to devise policies and interventions that minimize the emigration of skilled professionals rather than depending on remittances that do not offset the losses to the economy due to brain drain.

COINTEGRATED-BASED FORECAST OF LONG-RUN RELATIONSHIPS

2021 ◽  
Vol 14(63) (1) ◽  
pp. 153-168
Author(s):  
Klara-Dalma Deszke ◽  
Liliana Duguleana
Keyword(s):  
Vector Error Correction ◽  
Final Consumption ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Long Run ◽  
Lag Model ◽  
Relationship Of

The Vector Error Correction Model (VECM) and the Autoregressive Distributed Lag Model (ARDL) are used to estimate the cointegration in the case of long-run relationship of quarterly GDP and Final Consumption in Romania during the period 1995 – 2019. The actual data of 2020 Q1 and Q2 were used to check the best model’s validity. The static and dynamic approaches of the ARDL model were used to forecast the Final Consumption for Q3 and Q4 of the year 2020. Applying the cointegration model shows the long term relationship of GDP and Final Consumption, but also the effects of other factors, seen in the differences of Final Consumption from its Long-Run evolution, and comprised in the cointegrating terms.

scholarly journals The Trade-Off Between Tourism and Pollution for Japanese Economic Growth

Tourism ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 381-394
Author(s):  
Giovanni Bella ◽  
Carla Massidda
Keyword(s):  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Correction Model ◽  
Trade Off ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Polluting Emissions ◽  
The Relationship

This paper proposes a vector error correction model to investigate the relationship between polluting emissions and GDP levels in Japan, in the period 1970-2014, and tests the validity of the Environmental Kuznets Curve (EKC) hypothesis driven by tourist arrivals. Our results validate the existence of two different causality channels among the selected variables. In particular, we find that a trade-off might exist between increasing the number of tourists, which drives economic growth, and the pattern of a sustainable development, due to the increase of polluting emissions. The analysis allows us to propose appropriate policy strategies to promote a robust and sustainable long run economic growth.

scholarly journals Does Uncertainty Matter for Trade - Economic Growth Nexus in Indonesia?

2021 ◽  
Vol 67 (1) ◽  
pp. 147
Author(s):  
Panky Tri Febiyansah ◽  
Bintang Dwitya Cahyono ◽  
Rio Novandra
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Output Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Impact ◽  
The Relationship

This paper aims to test the impact of uncertainty on the causal relationship among exports, imports, and economic growth in Indonesia. The relationship is constructed by examining the presence of FDI-adjusted exports and imports (trade) and the output link using conditional variances-covariances derived from the generalized autoregressive conditional heteroskedastic (GARCH) process in a vector error correction model (VEC-GARCH model). Using evidence in Indonesia, the model exposes the uni-directional nexus from trade performance to trade-adjusted output growth in the absence of uncertainty. The volatility effects are evident in the causal relationship between trade and output. The finding shows that the uncertainty effects hamper the trade-economic growth nexus. Incorporated with the long-run causality, trade still causes output even after containing the contributions of volatility. The significant role of imports highlights the higher demand for intermediate capital products and the inclusion of technology in strengthening economic growth.

THE CAUSAL RELATIONSHIP BETWEEN INSURANCE AND ECONOMIC GROWTH IN NIGERIA (1986-2010)

2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.

scholarly journals KETIDAKPASTIAN KEBIJAKAN EKONOMI CHINA DAN PERTUMBUHAN EKONOMI INDONESIA

BISMA ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 147
Author(s):  
Regina Niken Wilantari ◽  
Faradilla Oktaviana ◽  
Edy Santoso ◽  
Duwi Yunitasari
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Vector Error Correction Model ◽  
Policy Uncertainty ◽  
Correction Model ◽  
Vector Error Correction ◽  
Economic Policy Uncertainty ◽  
Vector Error ◽  
Long Run ◽  
Macroeconomic Indicators

Global economic policy uncertainty will influence economic stability among countries integrated into international trade. The trade war between America and China has affected the weakening of macroeconomic indicators in developing countries, one of which is Indonesia. The objective of this study is to examine the influence of China's economic policy uncertainty and macroeconomic indicators, i.e., inflation, investment, and Brent oil price, on Indonesia's economic growth. Research data were secondary time series data taken from the Q1 2009-Q4 2018 quarterly period. The method of analysis used is the Vector Error Correction Model (VECM). Results showed that in the long run, the uncertainty of China's economic policy and Brent oil price could negatively influence Indonesia's economic growth. On the other hand, inflation, in the long run, had a positive and significant influence on Indonesia's economic growth. Meanwhile, investment did not have a significant influence on Indonesia's economic growth. Keywords: economic growth, uncertainty of economic policy, Vector Error Correction Model

scholarly journals The Relationship between Coal Consumption and Economic Growth in Indonesia

2018 ◽  
Vol 2 (1) ◽  
pp. 12
Author(s):  
Irwandi Irwandi
Keyword(s):  
Economic Growth ◽  
Control Variable ◽  
Coal Consumption ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Export Tax ◽  
The Relationship

Indonesia is one of the largest coal producer countries in the world. In the previous research, it is stated that coal producer countries are able to affect economic growth. The purpose of the study is to investigate the co-integration and causal relationships between coal consumption and income in Indonesia for the period of 1965-2016 using Granger causality test based on Vector Error Correction Model (VECM) employing population as the control variable in bivariate system. The Augmented Dicky-Fuller (ADF) and Phillips-Perron (PP) tests were used to determine the variable stationarity. From Johansen’s co-integration tests, it is indicated that there is a long-run relationship between the variables. The empirical study shows that there is no causal relationship between coal consumption and economic growth in Indonesia since coal consumption in fact cannot affect economic growth in Indonesia. Export tax becomes government revenues earned from energy sectors including coal.

scholarly journals Dampak ASEAN-China free trade agreement (ACFTA) terhadap pertumbuhan ekonomi Indonesia

2019 ◽  
Vol 15 (1) ◽  
pp. 1-14
Author(s):  
Azza Ayullah Kusuma
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Free Trade Agreement ◽  
Secondary Data ◽  
Trade Agreement ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Impact

The purpose of this study investigates the impact of ACFTA, Indonesian trade, the exchange rate on economic growth in Indonesia. The data used secondary data during 1997-2016 were sourced from UNCOMTRADE, ASEAN Statistics, and World Bank. The method used is a quantitative approach with vector error correction model (VECM). The findings of this study in the long run show that Indonesian trade, ACFTA has a positive and significant effect on economic growth, while the rupiah exchange rate variable has a negative and significant effect on economic growth

scholarly journals Does Monetary Policy Affect Economic Growth in Jordan? Evidence from Ordinary Least Square Models

2018 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Mohamed Ibrahim Mugableh
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Positive Impact ◽  
Least Square ◽  
Vector Error Correction ◽  
Ordinary Least Square ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

The main objective of this paper is to analyze equilibrium and dynamic causality relationships between monetary policy tools and economic growth in Jordan for the period (1990-2017). For this purpose, it considers the autoregressive distributed lag (ARDL) and vector error correction (VEC) models estimations. The results of ARDL approach show that monetary policy variables (i.e., real interest rate and money supply) have positive impact on economic growth in long-run and short-run except inflation rate. In addition, the results of VECM indicate bidirectional causal relationships between economic growth and monetary policy variables in long-run and short-run.

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