Tourism demand, oil price fluctuation, exchange rate and economic growth: Evidence from ARDL model and Rolling window Granger causality for Tunisia

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Abderezzak Dhaoui ◽  
Habib Sekrafi ◽  
Mohamed Ghandri
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Granger Causality ◽  
Oil Price ◽  
Tourism Demand ◽  
Price Fluctuation ◽  
Ardl Model ◽  
Rolling Window ◽  
Oil Price Fluctuation

scholarly journals The Dynamics of Oil Prices in the Nigerian Construction and Economic Growth

2018 ◽  
pp. 1-19
Author(s):  
Peter Uchenna Okoye ◽  
Evelyn Ndifreke Igbo
Keyword(s):  
Economic Growth ◽  
Price Change ◽  
Oil Prices ◽  
Oil Price ◽  
National Bureau ◽  
Construction Sector ◽  
Price Fluctuation ◽  
Long Run ◽  
Long Run Equilibrium ◽  
Oil Price Fluctuation

Aims: The continuous reverberation of unstable global oil price change has caused this study to examine the effect of oil price fluctuation on the construction and economic growths in Nigeria. Study Design: Data for the analysis were extracted from different National Bureau of Statistics (NBS) publications on the construction sector and economy (GDP); and OPEC Annual Statistical Bulletin 2017 and BP Statistical Review of World Energy June 2017 on oil price from 1981 to 2016. Place and Duration of Study: The study was done in Nigeria between October 2017 and February 2018. Methodology: The study applied different econometric techniques including the Augmented Dickey-Fuller (ADF), the generalized least squares (GLS) regression (DF-GLS), and the Phillips-Perron (PP)  for unit root test; Johansen’s cointegration test and Error Correction Model (ECM) for long-run equilibrium relationship; Granger causality test for direction of causation or influence; as well as carrying different validation tests. Results: It was found that oil price fluctuation does not have any causal influence on the construction growth nor economic growth; rather it is only the economic growth that influences the construction growth without feedback. It further revealed the existence of unstable long-run equilibrium contemporaneous relationship between the variables. It showed that the deviation from the equilibrium level in the current year will be corrected by 8.8% in the following year and that it will take about 11 years and 4 months to restore the long-run equilibrium state on the economic growth should there be any shock from the construction growth and oil prices fluctuation in the system. Conclusion: The study concluded that though construction sector and general economy may be sensitive to the oil price change, their growth cannot be said to have been influenced or caused by the fluctuation in oil prices. On this strength, the subsisting oil price position in determining the economic trends in Nigeria is challenged. It then calls for new thoughts and strategies towards monitoring the oil prices and economic growth in Nigeria which may culminate in paying less attention to oil price changes and focusing more on other economic variables that trigger changes in the economy and development of Nigeria.

scholarly journals Impact of Oil Price Fluctuation on the Economy of Nigeria, the Core Analysis for Energy Producing Countries

2020 ◽  
Author(s):  
Jelilov Gylych ◽  
Abdullahi Ahmad Jibrin ◽  
Bilal Celik ◽  
Abdurrahman Isik
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Forecast Error ◽  
Consumer Price Index ◽  
Oil Price ◽  
Impulse Response Functions ◽  
Price Fluctuation ◽  
Level Of Significance ◽  
Oil Price Fluctuation ◽  
Empirical Analyses

The study aims to find the short-run empirical analyses of the impact of oil price fluctuation on the monetary instrument (Exchange rate, Inflation, Interest rate) in Nigeria. We explored the frequently used Toda–Yamamoto model (TY) model, by adopting the TY Modified Wald (MWALD) test approach to causality, Forecast Error Variance Decomposition (FEVD) and Impulse Response Functions (IRFs).The study covered the period 1995 to 2018 (monthly basis), and our findings from MWALD test indicated that there is a uni-directional causality of the log of oil price (lnoilpr) to log of the exchange rate (lnexchr) at 10% level of significance, also there is a contemporaneous response of log of consumer price index (lncpi) to log of exchange rate (lnexchr) and log of interest rate (lnintr), and jointly (lnoilpr, lncpi and lnintr) granger cause lncpi. Also at 5% level of significance lnintr responded due to positive change in lnoilpr and lnexchr, and jointly causes lnintr at 5% level of significance. This is complimented with our findings in FEVDs, and IRFs. The empirical analyses shows that oil price is a strong determining factor of exchange rate, cost of borrowing and directly influences inflationary or deflationary tendencies in Nigeria..

The impact of international crude oil price fluctuation on the exchange rate of petroleum-importing countries: a summary of recent studies

2018 ◽  
Vol 95 (1-2) ◽  
pp. 227-239 ◽  
Author(s):  
Wei Qiang ◽  
Aimei Lin ◽  
Chao Zhao ◽  
Zhenhua Liu ◽  
Manzhi Liu ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Oil Price ◽  
Crude Oil Price ◽  
Price Fluctuation ◽  
The Exchange Rate ◽  
The Impact ◽  
Oil Price Fluctuation

scholarly journals Revisit coal consumption, CO2 emissions and economic growth nexus in China and India using a newly developed bootstrap ARDL bound test

2017 ◽  
Vol 36 (3) ◽  
pp. 450-463 ◽  
Author(s):  
Feng-Li Lin ◽  
Roula Inglesi-Lotz ◽  
Tsangyao Chang
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Policy Implications ◽  
Coal Consumption ◽  
Causality Test ◽  
Ardl Model ◽  
Empirical Results ◽  
China And India ◽  
The Government ◽  
Bound Test

This study revisits coal consumption, CO2 emissions and economic growth nexus for both China and India using a newly developed Bootstrap ARDL model over the period of 1969–2015. Empirical results indicate no long-run relationship among these three variables for both China and India, and Granger causality test based on Bootstrap ARDL model indicates a feedback between coal consumption and economic growth, between economic growth and CO2 emissions and between coal consumption and CO2 emissions in China. However, we find a one-way Granger causality running from coal consumption to economic growth and the feedback hypothesis is confirmed between economic growth and CO2 emissions and between coal consumption and CO2 emissions in India. The coefficients signal that coal consumption is an important factor towards the promotion economic growth in both China and India. For China, higher economic growth reduces CO2 emissions, while for India, it further increases CO2 emissions. Our empirical results have important policy implications for the government conducting effective energy polices to promote economic growth in both China and India.

The dynamic relationship between CO2 emission, international tourism and energy consumption in Pakistan: a cointegration approach

2019 ◽  
Vol 74 (4) ◽  
pp. 761-779 ◽  
Author(s):  
Yaping Liu ◽  
Tafazal Kumail ◽  
Wajahat Ali ◽  
Farah Sadiq
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Environmental Quality ◽  
Energy Use ◽  
Ardl Model ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Growth Energy

Purpose The present study aims to investigate the dynamic relationship between international tourist receipts, economic growth, energy use and carbon dioxide (CO2) emissions in Pakistan over the period 1980-2016. Many researchers have investigated the link between tourism and CO2 emissions, but there is no clear picture as the results are contradictory. This study is an attempt to compliment the literature related to tourism and environmental quality. Design/methodology/approach The study adopted the autoregressive distributed lagged (ARDL) model to investigate the short- and long-run estimates simultaneously. The study further applied Granger causality to find out the direction of causalities. To arrive at long-run robust estimates, the study used dynamic ordinary least squares (DOLS) model. Findings The results found that tourist receipts have no significant impact on environmental quality, while growth and energy consumption are the main determinants of CO2 emissions in Pakistan. The Granger causality test confirmed unidirectional causalities from GDP and energy consumption toward CO2 emissions, while tourist receipts do not affect environmental quality. DOLS technique confirmed the long-run estimates of ARDL model. Research limitations/implications The result of the study complements the literature by adding new evidence regarding the nexus of tourism and environment. Findings of the study are important for policymakers and regulatory bodies to place their focus on the development of tourism sector (services sector) rather than energy-intensive manufacturing activities to sustain the growth of the country in higher quartiles, as tourism receipts have no significant negative externalities toward environment, while energy use is one of the key determinants of environmental degradation. Originality/value This study used time series data over the period 1980-2016 for Pakistan to inspect the dynamic relationship between tourist receipts, economic growth, energy consumption and CO2 emissions.

Sign in / Sign up

Export Citation Format

Share Document