Effects of oil price on food prices in developing oil exporting countries: a panel autoregressive distributed lag analysis

2016 ◽  
Vol 40 (4) ◽  
pp. 397-411 ◽  
Author(s):  
David Olayungbo ◽  
Wale Hassan
Keyword(s):  
Food Prices ◽  
Oil Price ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Changes in Crude Oil Prices and the Flow of Government Revenue

2019 ◽  
pp. 1-12
Author(s):  
Chukwunweike Stella ◽  
Achu Tonia Chinedu ◽  
Awa Kalu Idika
Keyword(s):  
Oil Prices ◽  
Oil Price ◽  
Government Revenue ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Crude Oil Prices ◽  
Regression Techniques ◽  
The Government ◽  
The Impact

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.

scholarly journals Impact of Crude Oil Price Changes on Household Consumption Expenditure in Oman (1990-2016)

2019 ◽  
Vol 4 (2) ◽  
pp. 97-104
Author(s):  
Abubakar El-Sidig A.A Mahdi
Keyword(s):  
Crude Oil ◽  
Household Consumption ◽  
Oil Price ◽  
Consumption Expenditure ◽  
Crude Oil Price ◽  
Price Changes ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Bound Test

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.

scholarly journals The Effects of COVID-19 Pandemic on the Economies of the Gulf Cooperation Council States due to Low Oil Prices

2020 ◽  
Vol 12 (1) ◽  
pp. 279
Author(s):  
Khaled Abdalla Moh'd AL-Tamimi
Keyword(s):  
Economic Growth ◽  
United Arab Emirates ◽  
Oil Price ◽  
Empirical Literature ◽  
Monthly Data ◽  
Significance Level ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Gcc Countries ◽  
Literature Reviews

This paper shows the effect of a drop in oil price on the economic growth of GCC states as a result of the Covid-19 pandemic using monthly data for (2019/2020 M1 – 2019/2020 M12) where oil priceis an explanatory variable and economic growth is the affected variable. Because the economies of the GCC countries are centered mostly on oil, the spread of COVID-19 pandemic has become a serious concern since they depend on the outside world in diverse ways. The confirmed number of cases in the GCC countries is eliciting fear about security in these countries. This paper focuses on analyzing theoretical and empirical literature reviews to show the effects of oil price on economic growth and explaining this effect in GCC states for this period using the autoregressive distributed lag (ARDL) technique in Eviews program. This paper concluded that there are negative and significant effects of oil price on the economic growth of Kuwait and Qatar,but insignificant effects of oil price on the economic growth of Bahrain, Oman and the United Arab Emirates and a positive and significant effect of oil price on the economic growth of Saudi Arabia by using monthly data for (2019/2020 M1 – 2019/2020 M12) at a significance level  of 5%.Also, this paper reaches a recommendation of the GCC states to improve their economies through other sectors and not by relying on oil to enhance their economic growth.

scholarly journals Oil Price, Energy Consumption, and CO2 Emissions in Turkey. New Evidence from a Bootstrap ARDL Test

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5588
Author(s):  
Mohammed Abumunshar ◽  
Mehmet Aga ◽  
Ahmed Samour
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Oil Prices ◽  
Oil Price ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Imported Oil

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.

DO OIL PRICE FLUCTUATIONS AFFECT THE INFLATION RATE IN INDONESIA ASYMMETRICALLY?

2020 ◽  
pp. 1-21
Author(s):  
LIM THYE GOH ◽  
SIONG HOOK LAW ◽  
IRWAN TRINUGROHO
Keyword(s):  
Inflation Targeting ◽  
Inflation Rate ◽  
Oil Price ◽  
Production Costs ◽  
Price Reduction ◽  
Producer Price ◽  
Price Fluctuations ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

Changes in the oil price directly affect production costs, and subsequently, the general price level of products. With Indonesia observing an inflation targeting policy, this study applies the nonlinear autoregressive distributed lag (NARDL) technique to investigate the effect of oil price fluctuations in Indonesia. The relationship is important for the central bank to gauge the effectiveness of the inflation targeting policy in immunizing the country from oil price fluctuations. Our findings have revealed that there was an asymmetric behavior between oil price and the inflation rate (producer price index), thus questioning the effectiveness of the inflation targeting policy. More specifically, in the long run, an increase in the oil price will tend to lead to an increase in the rate of inflation with a greater deviation, while an oil price reduction will lead to a decrease in the inflation rate with a lower deviation. This suggests that the benefits of an oil price reduction are not passed down to the consumer.

scholarly journals Does Oil Price Drive World Food Prices? Evidence from Linear and Nonlinear ARDL Modeling

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Mourad Zmami ◽  
Ousama Ben-Salha
Keyword(s):  
Commodity Prices ◽  
Food Prices ◽  
Food Price ◽  
Oil Price ◽  
Agricultural Commodity ◽  
Distributed Lag ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Linear And Nonlinear ◽  
The Impact

The macroeconomic outcomes of oil price fluctuations have been at the forefront of the debate among economists, financial analysts and policymakers over the last decades. Among others, the oil price–food price nexus has particularly received a great deal of attention. While an abundant body of literature has focused on the linear relationship between oil price and food price, little is known regarding the nonlinear interactions between them. The aim of this paper is to conduct aggregated and disaggregated analyses of the impact of the Brent and West Texas Intermediate (WTI) oil prices on international food prices between January 1990 and October 2017. The empirical investigation is based on the estimation of linear and nonlinear autoregressive distributed lag (ARDL) models. The findings confirm the presence of asymmetries since the overall food price is only affected by positive shocks on oil price in the long-run. While the dairy price index reacts to both positive and negative changes of oil price, the impact of oil price increases is found to be greater. Finally, the asymmetry is present for some other agricultural commodity prices in the short-run, since they respond only to oil price decreases. All in all, the study concludes that studies assuming the presence of a symmetric impact of oil price on food price might be flawed. The findings are important for the undertaking of future studies and the design of international and national policies in the fight against food insecurity.

scholarly journals MACROECONOMIC VARIABLES AND RISING FOOD PRICES: EMPIRICAL EVIDENCE FROM PAKISTAN

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Hamid Salman ◽  
Keyword(s):  
Time Series Data ◽  
Food Prices ◽  
Series Data ◽  
Energy Prices ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ardl Approach ◽  
Short Run ◽  
Food Commodities

Purpose: This study examines the long and short-run impact of macroeconomic variable on rising food commodities prices. Methodology/Sampling: For this paper mixed method approach is used, quantitative time series data over the period 1991-2013 and autoregressive distributed lag (ARDL) approach to Co-integration, whereas qualitative data is collected from thematic analysis of many past researches in order to determine the most and least critical consequences of food prices skies by using NVIVO 10 software technique “tree map”. Findings: The result shows energy prices and dollar prices have positive beta coefficients and having statistically significant impact on rising food commodities price index Moreover, the error correction model’s coefficient is with negative sign that suggests its expected significant adjustment toward long-term. Whereas the qualitative results identified different variables have different magnitude of relationship with rising food prices in different situation; Exchange rate, energy prices, money supply are the most critical consequences of rising food items prices. Practical Implications: The study therefore recommends that government should develop and integrated efficient and effective energy and monetary policy with long-term future development outline of controlling food inflation.

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