The objective of this paper is to study the effect of institutional factors on investment and economic growth of a set of 11 countries in the MENA region during the period 2000-2009, using a model of dynamic panel data. The effect of institutions on the contribution of investment to economic growth has been a second empirical study in this paper. The key findings generated by these two empirical tests stipulate a significant relationship between institutional variables and investment on the one hand and economic growth on the other hand, a positive interaction between political institutions and investment and a negative interaction between political instability and investment.

This work provides an opportunity to analyze the relationship between the informal economy and economic growth, the methodology used is inspired by the work of Friedrich schneider (2018). To this end, we empirically address this point using an econometric model over the period 1996-2015. From the model prediction, we find the existence of a negative causal effect of the Shadow economy on economic growth. Our results state that the simultaneous effect of the Shadow economy and the rule of law variables and regulatory quality are negative. The size of the informal sector depends positively on tax law indicators and government policies and regulations, and an increase in the size of the informal sector is detrimental to growth.

Coronavirus (2019-nCoV) not only has an effect on human health but also on economic variables in countries around the world. Coronavirus has an effect on the price of black gold and on its volatility. The shock on all markets is already very strong. Volatility patterns in Brent crude oil simulation are examined during COVID-19 crisis that significantly affected the oil market volatility. The selected crisis of coronavirus arose due to different triggers having diverse implications for oil returns volatility. Our findings indicate that model choice with data modeling is the same appropriate model EGARCH(0,2) with different parameters between pre-coronavirus and post-coronavirus. We find that oil prices are the most strongly and negatively influenced by the Coronavirus crisis. The downward movement post-covid-19 crisis is very noticeable in energy volatility. The return series, on the other hand, do not appear smooth, they rather appear volatile. We conduct a Monte Carlo simulation exercise during coronavirus crisis to investigate whether this decline is real or an artefact of the oil market. Our findings support the fact that the decline in oil prices volatility is an artefact of the covid-19 crisis.

The objective of this paper is to study the effect of governance and poverty on economic growth of a set of eight developing countries during the period 2000-2009, using a dynamic and static panel data model and a simultaneous equations model. The key findings generated from these three empirical tests stipulate a negative effect of governance on poverty and a positive effect of political instability and corruption on poverty.

The present work attempts to address the problem of promoting sustainable food safety in a world constrained by land, water and energy. Firstly, by analyzing the impact of economic growth on FS. Then via the determination of the impact of CC on FS. Finally through the analysis of the relationship between the economic growth and CO2 emissions for developing countries with different samples and different empirical studies.