The objective of this study is to analyze the asymmetrical effects between the real exchange rate and poverty in some Maghreb countries through the remittances channel and the informal sector channel. We aim at answering the following question: to what extent does the variation of the real exchange rate contribute to explain the evolution of poverty through the channels of remittances and the informal sector? To do so, we applied the NARDL technique on data for three countries (Algeria, Tunisia, and the Maghreb) over the period from 1980 to 2018. The results show that real exchange rate depreciations have a larger positive effect on poverty through remittances. The results are expected to be of considerable importance for developing countries in designing exchange rate and inflation policies that affect the poverty levels of their populations through the remittance mechanism and the size of the informal sector.

This study aims to analyse the determinants of investment for developing countries, through the case of Tunisia, which is strongly affected by such a dynamic. Using the ARDL model on annual data for the period 1987 to 2020, we found evidence of a short- and long-term relationship between various social and economic variables and the investment. These findings have important policy implications for economic agents, politicians, and policymakers. This study is useful to identify the socioeconomic determinants of total investment in Tunisia.

The world faces two main problems: environmental degradation and the growing number of terrorist attacks. This study provides new perspectives by evaluating the links between environment quality, renewable energy consumption, terrorist attacks and the rents of natural resources for forty-six African countries over the period 1991–2017. We applied a heterogeneous panel data approach and second-generation econometric techniques, which took into account cross-sectional dependence and heterogeneity. The long-term effects were obtained by AMG and CCMG estimators. The results confirmed the existence of a cross-sectional dependence between the individuals in the panel. In addition, the long-term relationship confirms the existence of an inverted U-shaped curve between CO₂ emissions and the level of GDP. Renewable energies stimulate the improvement of environmental quality in the long term whereas terrorist attacks contribute to environmental degradation. Thus, policymakers are called upon to promote renewable energies and to implement good governance of rents.

This paper examined the effect of external factors on economic growth in Tunisia. The economic analysis was carried out using recent quantitative technique of annual time series data from 1976 to 2017. Based on co-integration test with unknown structural breaks and ARDL bound testing we investigated importance of each factor in stimulating economic growth. Our results show that in the long-run FDI does not affect economic growth. Remittances and imports negatively affect economic growth. Exports promote economic growth such that a 1% increase stimulates economic activity by 0.702%. In the short term, our estimates emphasize a structural break in 1988 linked to the structural adjustment program. Likewise, FDI does not have a significant effect on economic growth while remittances and imports slow economic growth significantly at the conventional level. On the other hand, exports form a relevant engine of economic growth. Therefore, our conclusions imply that political decision-makers in Tunisia must guarantee certain level of training and infrastructure to ensure the gain of transfers of new technologies and experiences related to the FDI. Thus, Tunisia must encourage peoples living aboard to create new investment opportunities instead of just supporting their families for consumption. In addition, the state must develop financial system capable of transferring funds for investment in order to better benefit from remittances. Finally, the government must restrict import of consumer goods and allow import of equipment and machinery goods that promote production and economic growth.

This paper examines the impact of unconventional monetary policies, such as quantitative easing, on the U.S. unemployment rate during the financial crises and the Covid-19 pandemic. Most studies focus on the factors and monetary policies affecting unemployment during financial crises. Nevertheless, these policies may vary during health and social crises. In order to conduct our study, we used the ARDL (Autoregressive Distributed Lag) model, covering two distinct periods: from January 2007 to December 2018 for the first and from January 2019 to December 2022 for the second. The ARDL model is best suited for this study since it allows testing cointegration and estimating short- and long-term relationships when the series are not integrated of the same order. The study reveals that, during the Covid-19 period, the unemployment rate increases in the short and long term due to expansionary monetary policy. However, during financial crises, quantitative easing leads to a decrease in the unemployment rate over the same time horizons. The findings provide valuable insights into the effects of unconventional monetary policies and their influence on labour market reforms depending on the nature of the crisis.