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In model 2, the 1990 level of GDP per capita shows a positive effect with weak statistical significance; thus the assumption of faster growth for countries with lower initial levels of GDP per capita is not supported.
GDP per capita shows the amount that an individual contributes to domestic income every year.
A closer look at the values below 75 DALYs per 1 000 capita shows that countries may perform rather differently in terms of environmental health impacts for a similar GNI.
For instance, the share of public sector health expenditure per capita shows several strong correlations with healthcare indicators: ranging from -0.716 955% C.I.: -0.909 to -0.273; P < 0.01) for being satisfied with family doctor to 0.851 955% C.I.: 0.565 to 0.954; P < 0.01) for chlamydia cases per unit population.
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A revaluation of the funds' holdings by Capita showed that net asset values had fallen by £140m by September compared with March.
GDP per capita showed positive effect on any of total, public and private expenditure on health.
In general, consumption forecasts ranged from 52 kg per-capita to 70 kg per capita, showing a slight decreasing trend.
This measure correlates 0.68 with social spending per capita, showing that while the correlation is high, social spending does not correlate one to one with equality of opportunities.
Likewise, the data provide evidence in support of the hypothesis that the loss of manufacturing participation is also due to a secular process, since GDP per capita showed significance.
The expenditure per capita showed a diverging trend.
Multivariate Moran's I analysis of syphilis cases per capita and GDP per capita showed significant spatial clustering (p = 0.004).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com