god's-will mazonzika

This work analyzed the effects of human capital on world growth using snapshot data from 1995 and the DRC with the time series from 1970 to 1994 and also analyzes the income gaps between the different countries of the world And the DRC. The analysis was made using the Solow model with human capital developed by Mankiw, Romer and Weil (1992) and the results show that the stock of human capital affects positively and significantly the global growth but as for the DRC it affects negatively Growth but not in a significant way. And there are considerable income gaps between the DRC and the developed countries, but these gaps are not significant with developing countries.

This work analyzed the effects of human capital on world growth using snapshot data from 1995 and the DRC with the time series from 1970 to 1994 and also analyzes the income gaps between the different countries of the world And the DRC. The analysis was made using the Solow model with human capital developed by Mankiw, Romer and Weil (1992) and the results show that the stock of human capital affects positively and significantly the global growth but as for the DRC it affects negatively Growth but not in a significant way. And there are considerable income gaps between the DRC and the developed countries, but these gaps are not significant with developing countries.

Ce travail explore la dynamique de production résidentielle de la cassitérite en République Démocratique du Congo à l'aide de données mensuelles tirées du bulletin mensuel d'informations statistiques de la Banque Centrale du Congo de Mars 2016 pour la période allant de Janvier 2012 à Décembre 2015. Nous considérons un modèle auto-projectif en analyse de séries temporelles : le modèle ARIMA. L'analyse et la prévision de la production de la cassitérite se fera par la méthodologie de Box et Jenkins(1976). Abstract This work explores the dynamic residential production of cassiterite in the DRC using monthly data from the monthly bulletin of statistical information of the Central Bank of Congo in March 2016 for the period from January 2012 to December 2015. We consider a self-projective model in time series analysis : the ARIMA model. The analysis and forecasting of production of cassiterite will be through the methodology of Box and Jenkins (1976).

This work analyzed the impact of public spending on economic growth in the DRC and tested the existence of the optimal size of the Congolese state for the period 2002 to 2015 with the quarterly data. To achieve our objectives, the standard VAR models and the Vedder-Gallaway and Scully models were used respectively to analyze the effects of fiscal shocks on growth and to determine the optimal size of the state. The dynamic analysis of VAR models shows that the positive shocks of total and current public expenditure have a positive influence on economic growth in the DRC, but these effects are not significant. On the other hand, the shock of investment spending does not significantly affect economic growth in the DRC. The decomposition of the variance of the forecast error shows a small contribution of the budgetary variables in the explanation of growth because it is explained for the most part by its own innovations. The optimal size of the total public expenditure in the DRC for the selected study period varies between 33.72 and 36.89% according to the Scully and Vedder-Gallaway models, respectively.