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1. Presentation of study data
As part of this project of memory project, we are particularly interested in economic growth in Africa. Variables dictated by literary and empirical journals will be retrieved from the World Bank database. In this case, per capita GDP, fossil energy consumption, physical capital, etc. Other unobservable variables will be measured. In this sense, it is the savings rate, the inflow of capital, the rates of trade opening. Our values are in current dollars. The period of study or the interval by which we analyze the thesis is between 1960 and 2016. In truth, the more the data remains unavailable for the year 2017. We will then ask for methods of clearing and correction of the missing values before being able to carry out studies whose prospects have already been clarified in the general introduction.
1. Analysis of econometric results
This table shows the results of the different non-dynamic panel error correction method estimators, such as the Pesaran & Smith (1995) Mean Group (PS-MGE), Demeaned Mean Groups (DMG), and Pesaran estimators. (2006) Common Correlated Effects Mean Group (P-CCE-MG), Polarized Mean Group (PMG), Panel Fully Modified Least Squares (FMOLS) and Panel Dynamic Least Squares (DOLS). As emphasized by Kuznets' environmental thesis on the relationship between emissions and economic growth. In particular, an inverted "U" curve shape or an inverted parabola that is no longer convex but concave. In order to verify this hypothesis, the validity of the estimated coefficients α, β 𝑒𝑡 γ on the basis of the existence of the latter between the relation between per capita income and CO2 emissions per capita should be validated. Among other things, these coefficients are significant only in the Pesaran & Smith (1995), FM-OLS and DOLS models.
ADAN, A.-B. (2018). Croissance Economique et Développement Durable en Afrique: Analyses Statistiques et Econométriques [Kindle]. Amazon Media EU S.à r.l.
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