Thursday, March 11, 2010

why some countries are poor and some rich

PAEcon | This study has explored the relations between human body colours and levels of economic attainment. In so doing it offers an alternative and non-Eurocentric approach to the classical question of why some nations are rich and some poor. In this respect, the study has reached two original conclusions.
1. The poverty and wealth of nations are significantly and orderly correlated with the representative morphological trait of their citizens.

2. This correlation stems from colour-coded colonial practices, created from a spectrum where ethnic groups of light morphological traits where the colonizers – a group on top of the societal hierarchy, and where ethnic groups of dark morphological traits where the enslaved ones – a group on the bottom of the societal hierarchy.
The basis for the first conclusion lies on the empirical results of correlations between morphological traits, represented by four nuances of bodily colours, and sustained economic levels, represented by GDP per capita figures. Countries with the majority of their citizens with lighter morphological traits are in general richer than countries with the majority of their citizens with darker morphological traits. In other words, the systematic direction is that the lighter a country, the higher the probability of that country having a higher economic level. The importance of the results is also shown by the statistical showcase, which highlights the

magnitude of these inequalities. For instance, in current PPP US dollars, the darkest ethnic groups have only about nine percent of the GDP per capita level the lightest group enjoy, 14 percent of the second lightest group, and 51 percent of the third darkest group, while having only 21 per cent of the world average income of nearly 10 000 PPP US dollars.

The second main conclusion means that the above results are neither coincidental nor a simple reflection of geography. Colour-coded polarisations are a force in practically all societies around the world, and thus a harsh reality for countless people regardless of geographic location. In our context, a global histography provided an overview of processes and turns of events shaping and enhancing the ethnically biased economic levels. Adopting an original perspective and piecing together rather familiar facts from various disciplines brought an insight to the metaphysics of our colour-coded global economy.

In particular, the correlation between GDP levels and ethnicity at the international macro level exist primarily because it happened to be lighter ethnic groups of western Europe that were the colonisers, while it happened to be darker ethnic groups of Sub-Saharan Africa that where the enslaved ones. This social condition sparked and established colour-coded perceptions in colonial practices during nearly 500 years. Note that this does not mean colour-coded racism or other ethnic polarisations have not existed before. Here, the emphasis is on the creation of colour-coded polarisations relevant to contemporary global economy. Nor does it mean that ethnicity is the single shaper of economic inequalities. Here, the aim has been to highlight it as a variable that has determined international comparative development.