scholarly journals Asymmetric Impacts of Oil Price on Inflation: An Empirical Study of African OPEC Member Countries

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3017 ◽  
Author(s):  
Umar Bala ◽  
Lee Chin

This study investigates the asymmetric impacts of oil price changes on inflation in Algeria, Angola, Libya, and Nigeria. Three different kinds of oil price data were applied in this study: the actual spot oil price of individual countries, the OPEC reference basket oil price, and an average of the Brent, WTI, and Dubai oil price. Autoregressive distributed lag (ARDL) dynamic panels were used to estimate the short- and long-term impacts. Also, we partitioned the oil price into positive and negative changes to capture asymmetric impacts and found that both the positive and negative oil price changes positively influenced inflation. However, the impact was found to be more significant when the oil prices dropped. We also found that the money supply, the exchange rate, and the gross domestic product (GDP) are positively related to inflation, while food production is negatively related to inflation. Accordingly, policy-makers should be cautious when formulating policies between the positive and negative changes in oil prices, as it was shown that inflation increased when the oil price dropped. Additionally, the use of a contractionary monetary policy would help to reduce the inflation rate. Lastly, we suggest that the government should encourage domestic food production, both in quantity and quality, to reduce inflation.

Author(s):  
Umar Bala ◽  
Lee Chin

This study investigates the asymmetric impacts of oil price changes on inflation in Algeria, Angola, Libya and Nigeria. Three different oil price data were applied in this study; the specific spot oil price of individual countries, the OPEC reference basket oil price and an average of the Brent, WTI and Dubai oil price. The dynamic panels ARDL were used to estimate the short and the long-run impacts. Also, this study partitioned the oil price into positive and negative changes to capture asymmetric impacts and found both positive and negative oil price changes positively influenced inflation. However, the impact was found to be more significant when oil prices dropped. The results from the study also found that money supply, the exchange rate and GDP are positively related to inflation while food production is negatively related to inflation. Accordingly, policymakers should be cautious in formulating policies between the positive and negative changes in oil prices as it was shown that inflation increased when the oil price dropped. Additionally, the use of contractionary monetary policy would help to reduce the inflation rate, and lastly, it is proposed that the government should encourage domestic food production both in quantity and quality to reduce inflation.


Author(s):  
Chukwunweike Stella ◽  
Achu Tonia Chinedu ◽  
Awa Kalu Idika

This work is set out as an investigation into the impact of change in oil prices on government revenue broken into oil and nonoil component. Drawing data from the Central Bank Statistical Bulletin and covering the period 1981 to 2018. The Autoregressive Distributed Lag (ARDL) Model was used because of its advantages over other regression techniques. It was found that changes in oil price affected oil revenue within the studied period leaving no significant impact on nonoil revenue. The result obviously reflects the Nigerian economy and its mono-product characteristic. It is therefore recommended that a conscious policy effort should be made to diversify the economy in a manner that makes revenue to the government multifarious functions.


Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 59 ◽  
Author(s):  
Donggyu Lee ◽  
Jungho Baek

This article revisits the question of whether crude oil prices have a positive effect on stock the prices of renewable energy firms. To examine this question carefully, we allow for the asymmetric effects of oil price changes in our modeling process, using the nonlinear autoregressive distributed lag (ARDL) approach. We find that changes in oil prices indeed have a significant, positive short-run effect on renewable energy stock prices in an asymmetric manner. However, this short-run effect does not appear to last in the long-run.


Author(s):  
Harbor Florence Ifeyinwa ◽  
Oleka Dorathy Chioma

In this study, the impact of oil price changes on selected variables in Nigeria within the period, 1981-2016 had been evaluated. Adopting the ex-post facto research design with annual time series and using The Autoregressive Distributed Lag (ARDL) model; the results revealed that the change in oil price had a positive and significant impact on government revenue and government expenditure, but had no positive and significant impact on the domestic price level.  It is therefore recommended that the monocultural economy should be omitted through well-planned and implementation diversification.


2020 ◽  
Vol 20 (1) ◽  
pp. 51-58
Author(s):  
K. Kamasa

Abstract This paper sought to explore the impact of crude oil price changes on economic welfare in Ghana. The paper employed the Autoregressive distributed lag (ARDL) estimation technique on an annual time series data spanning 1983 – 2017. The findings revealed that crude oil price changes have a negative and significant impact on economic welfare in the short and long run, albeit marginal. In terms of covariates, the findings revealed that trade openness and gross fixed capital formation have positive and significant impact whilst interest rate have negative impact on economic welfare in both the short and long run. Foreign direct investment had a positive effect, albeit insignificant. The paper recommends among others, the hedging of prices with respect to imported crude oil so as to manage the risks associated with crude oil price changes on economic welfare.   Keywords: Economic Welfare; Crude Oil Prices Changes; Autoregressive Distributed Lag; Ghana


2020 ◽  
Vol 54 (3) ◽  
pp. 719-748
Author(s):  
Sepideh Kaffash ◽  
Emel Aktas ◽  
Mohammad Tajik

This paper presents a novel application of Data Envelopment Analysis (DEA) to analyze the impact of oil price changes on the efficiency of banks. Factors that affect the efficiency of banks have been of interest to researchers in various geographical regions. With a special focus on oil price changes, we investigate the determinants of bank efficiency in the Middle Eastern Oil-Exporting (MEOE) countries where macro-financial conditions are substantially affected by swings in oil prices. Our analysis consists of two stages: (i) measuring the efficiency scores of banks using the Semi-Oriented Radial Measure (SORM) DEA model, (ii) investigating the impact of alternative indicators of oil prices on the estimated efficiency scores after controlling for key bank-specific and country-specific variables. The analysis is based on an un-balanced panel data of banks operating in the Middle Eastern Oil-Exporting countries over the period of 2001–2011. Our findings reveal that oil price changes affect the efficiency of banks in the MEOE countries through both direct and indirect channels. In addition, we find that Islamic banks in the region are less responsive to oil price changes than commercial and investment banks.


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. 


2019 ◽  
Vol 4 (2) ◽  
pp. 97-104
Author(s):  
Abubakar El-Sidig A.A Mahdi

Objective – The preceding three years (2014, 2015, and 2016) saw a drop in the price of oil which has impacted all parts of Omani macroeconomic life. This study aims to identify the association between oil price changes and aggregate household consumption expenditure in the Sultanate by analyzing the long term relationship between the variables of interest. Methodology/Technique – The (ARDL) Autoregressive Distributed Lag bound test of co-integration is used with 27 annual observations obtained between 1990 and 2016. Findings – The statistical results show that there is a long term, positive relationship between the two variables. Novelty – As Oman is heavily dependent on oil, any fluctuation in the price of oil will undoubtedly cause instability in the economy (macroeconomic variables) demonstrating the presence of a robust correlation between consumption and oil prices. The bound test of the ARDL approach demonstrates this relationship. This study is therefore useful for Muscat officials to identify ways to reduce the dependency on oil. Type of Paper: Empirical Keywords: Total Household Consumption Expenditure; Crude Oil Price; Autoregressive Distributed Lag (ARDL); Omani Economy. Reference to this paper should be made as follows: Abubakar El-Sidig A.A Mahdi. 2019. Impact of Crude Oil Price Changes on Household Consumption Expenditure in Oman (1990-2016), J. Bus. Econ. Review 4 (2): 97 – 104. https://doi.org/10.35609/jber.2019.4.2(4) JEL Classification: D1, D13, D19, E30.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mamdouh Abdelmoula Mohamed Abdelsalam

Purpose This paper aims to explore the extreme effect of crude oil price fluctuations and its volatility on the economic growth of Middle East and North Africa (MENA) countries. It also investigates the asymmetric and dynamic relationship between oil price and economic growth. Further, a separate analysis for each MENA oil-export and oil-import countries is conducted. Furthermore, it studies to what extent the quality of institutions will change the effect of oil price fluctuations on economic growth. Design/methodology/approach As the effect of oil price fluctuations is not the same over different business cycles or oil price levels, the paper uses a panel quantile regression approach with other linear models such as fixed effects, random effects and panel generalized method of moments. The panel quantile methodology is an extension of traditional linear models and it has the advantage of exploring the relationship over the different quantiles of the whole distribution. Findings The paper can summarize results as following: changes in oil price and its volatility have an opposite effect for each oil-export and oil-import countries; for the former, changes in oil prices have a positive impact but the volatility a negative effect. While for the latter, changes in oil prices have a negative effect but volatility a positive effect. Further, the impact of oil price changes and their uncertainty are different across different quantiles. Furthermore, there is evidence about the asymmetric effect of the oil price changes on economic growth. Finally, accounting for institutional quality led to a reduction in the impact of oil price changes on economic growth. Originality/value The study concludes more detailed results on the impact of oil prices on gross domestic product growth. Thus, it can be used as a decision-support tool for policymakers.


Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5588
Author(s):  
Mohammed Abumunshar ◽  
Mehmet Aga ◽  
Ahmed Samour

The main objective of this research was to test the effect of oil prices, renewable and non-renewable energy consumption, and economic growth on Turkey’s carbon emissions by using three co-integration tests, namely, the newly-developed bootstrap autoregressive distributed lag (ARDL) testing technique as proposed by (McNown et al., 2018); the new approach involving the Bayer–Hanck (2013) combined co-integration test; and the H-J (2008) co-integration technique, which induces two dates of structural breaks. The autoregressive distributed lag model (ARDL), dynamic ordinary least squares (DOLS), canonical cointegrating regression (CCR), and fully modified ordinary least square (FMOLS) approaches were utilized to test the long-run interaction between the examined variables. The Granger causality (GC) analysis was utilized to investigate the direction of causality among the variables. The long-run coefficients of ARDL, DOLS, CCR, and FMOLS showed that the oil prices had a negative influence on CO2 emissions in Turkey in the long run. Furthermore, the findings demonstrate that non-renewable energy, which includes oil, natural gas, and coal, increased CO2 emissions. In contrast, renewable energy can decrease the environmental pollution. These empirical findings can be attributed to the fact that Turkey is heavily dependent on imported oil; more than 50% of the energy requirement has been supplied by imports. Hence, oil price fluctuations have severe effects on the economic performance in Turkey, which in turn affects energy consumption and the level of carbon emissions. The study suggests that the rate of imported oil in Turkey must be decreased by finding more renewable energy sources for the energy supply formula to avoid any undesirable effects of oil price fluctuations on the CO2 emissions, and also to achieve sustainable development.


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