2016International Journal of Academic Research in Business and Social SciencesOpen access

Modelling Economic Growth and Energy Consumption in MENA Countries: Cointergration and Causality Analysis

Lamia Arfaoui

Open full text 2 citations

Abstract

This paper investigates the causal relationship between energy consumption and economic growth for Algeria, Egypt, Iran, Jordan, Morocco, Saudi Arabia, Tunisia and United Arab Emirates from 1975 to 2011.To examine this relationship, we use approach of cointegration and Granger causality analysis.The cointegration test results show that there is no cointegration between the energy consumption and the economic growth in six of the eight countries.there is no a relationship between energy consumption and economic growth in Jordan; Saudi Arabia; Tunisia and United Arab Emirates.The granger causality indicate that one-way Granger causality from economic growth to energy consumption in Algeria and one-way strong Granger causalities from energy consumption to economic growth in Egypt; Morocco and Iran.The overall results indicate that there is no relationship between the energy consumption and the economic growth in most of the MENA countries.

Open-access reader

About this research paper

What this paper is about

This paper investigates the causal relationship between energy consumption and economic growth for Algeria, Egypt, Iran, Jordan, Morocco, Saudi Arabia, Tunisia and United Arab Emirates from 1975 to 2011.To examine this relationship, we use approach of cointegration and Granger causality analysis.The cointegration test results show that there is no cointegration between the energy consumption and the economic growth in six of the eight countries.there is no a relationship between energy consumption and economic growth in Jordan; Saudi Arabia; Tunisia and United Arab Emirates.The granger causality indicate that one-way Granger causality from economic growth to energy consumption in Algeria and one-way strong Granger causalities from energy consumption to economic growth in Egypt; Morocco and Iran.The overall results indicate that there is no relationship between the energy consumption and the economic growth in most of the MENA countries.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper investigates the causal relationship between energy consumption and economic growth for Algeria, Egypt, Iran, Jordan, Morocco, Saudi Arabia, Tunisia and United Arab Emirates from 1975 to 2011.To examine this relationship, we use approach of cointegration and Granger causality analysis.The cointegration test results show that there is no cointegration between the energy consumption and the economic growth in six of the eight countries.there is no a relationship between energy consumption and economic growth in Jordan; Saudi Arabia; Tunisia and United Arab Emirates.The granger causality indicate that one-way Granger causality from economic growth to energy consumption in Algeria and one-way strong Granger causalities from energy consumption to economic growth in Egypt; Morocco and Iran.The overall results indicate that there is no relationship between the energy consumption and the economic growth in most of the MENA countries.

Key concepts: Cointegration, Granger causality, Economics, Energy consumption, Causality (physics), Consumption (sociology), Macroeconomics, Econometrics

Related papers

Back to paper searchBrowse research topicsOriginal source
Modelling Economic Growth and Energy Consumption in MENA Countries: Cointergration and Causality Analysis — Research Paper | ScholarLens