This paper explores the influence of economic policy uncertainty on environmental quality in selected MENA countries depending on an augmented STIRPAT model over the period 1970–2020. ARDL model and its extensions like augmented ARDL, augmented NARDL, and MTNARDL models are applied to detect any possible effect from uncertainty index to carbon dioxide (CO 2 ) emissions. The empirical results reveal the validity of environmental Kuznet curve (EKC) curve in all the countries. Moreover, the results show that the uncertainty index enhances environmental degradation, especially in extremely large changes in Morocco, Turkey, and Iran. Besides, the findings reveal that energy consumption and population in the entire sample escalates CO 2 emissions over the study period. Consequently, policymakers in MENA countries should consider the economic uncertainty index, particularly in light of its recent rise, when developing any strategies and plans aimed at improving environmental standards, as well as the need to encourage the use of renewable energies in order to increase the percentage of their contribution to total energy consumption.

The aim of this paper is to examine the relationship between money supply, inflation rate, and economic growth in the context of Algeria, using various econometric procedures as co-integration without and with structural breaks in addition to three different ways of causality test for the period 1970-2018, the results confirm the long-run relationship between the variables with more than three structural breaks, but with the absence of the effects of money supply and inflation rate on economic growth both in short run and long run terms, on the other hand, the causality results confirmed the existence of hidden causalities among the variables running from the cumulative components not from the natural series, and all the results support the Monetarist view of inflation though the absence of any effect of money supply on economic growth.

No abstract

Research background: The aim of this paper is to examine the long run relationship among oil prices and the Algerian Dinar exchange rate over the period January 1995–February 2020 in Algeria as one of the most important oil-exporting countries and one of the OPEC members. Purpose: This study investigated the co-integration relationship between oil prices and exchange rate in Algeria by testing the long-run relationship between the two variables and their positive and negative shocks. Research methodology: the study applied both the traditional co-integration analysis using Engle-Granger, Phillips-Ouliaris and Johansen-Juselius tests and the hidden co-integration presented by Granger and Yoon (2002). Results: The results revealed that there is no evidence of a co-movement and linkage between oil prices and exchange rate in Algeria over the period of study neither with the original series nor between the cumulative components whatever the dependent variable. Novelty: This paper fills in the missing link between the Algerian Dinar exchange rate and oil prices especially with the absence of the hidden co-integration analysis in the case of Algeria and most of the developing countries. To deal with the oil shocks according to Apergis and Miller (2007) and Narayan and Gupta (2015) studies where when they suggested distinguishing between the negative and positive oil price shocks because the asymmetric effect on the macroeconomic variables.

Since the previous periods, poverty reduction has been a big concern for many countries especially in developing countries like Algeria; in this paper, we shall explore the causal relationship between poverty reduction, economic growth and financial development in Algeria during the period of 1970-2017, the aim of this research is to answer the question which sector causes the poverty reduction: real sector or financial sector? Therefore, we employed the modern frequency domain causality presented by Breitung and Candelon (2006) with a comparison with the time domain causality under Lutkepohl (2006) procedure, the results suggest that there is unidirectional causality running from the real sector (economic growth) to poverty rates in the short and long run terms, also, we found that there is an unidirectional causality running from the financial sector to poverty rates only in the long run term, while another causality running from poverty rates to the financial sector but in the short run term. This article aims at contributing to enlarge the literature review by utilizing the frequency domain causality in the field of poverty studies because of its effectiveness to test the causalities in different frequencies.