Impact of governance quality, population and economic growth on greenhouse gas emissions: An analysis based on a panel VAR model.

Unlike the previous literature on climate change, this study employed the panel vector autoregressive model to examine the impact of population growth, governance quality, and economic growth on global warming. Moreover, we used the impulse response function tool, which was developed in the same context, to better understand the reaction of the main variables of interest, per capita greenhouse gas (GHG) emissions, aftershocks on population change, governance quality, and economic growth variables. Finally, the analysis was completed by the variance decomposition of all variables.

On measuring and decomposing inequality of opportunity in access to health services among Tunisian children: a new approach for public policy.

Background: The early years in children's life are the key to physical, cognitive-language, and, socio-emotional skills development. So, it is of paramount importance in this period to be interested in different indicators that would influence the child's health.

Methods: This paper measures inequality of opportunities among Tunisian children concerning access to nutritional and healthy services using Human Opportunity-Index and Shapely decomposition methods.