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How unequal are world incomes?

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From C.P. Chandrasekhar and Jayati Ghosh In discussions of global inequality, there is general agreement that, whatever else may have happened, within-country inequality has increased in most cases, even as between-country inequality has come down. But overall, because of the recent emergence of countries with large populations like China and India, there has actually been some reduction in global inequality, because of increasing incomes in the  “middle” of the global distribution. Chart 1 shows that, whether measured by the Gini coefficient (a measure of the dispersion of incomes of the population) or the Palma  ratio (the ratio of the share of income of the top ten per cent of the population to the bottom 40 per cent), inequality has declined especially since the turn of the

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from C.P. Chandrasekhar and Jayati Ghosh

In discussions of global inequality, there is general agreement that, whatever else may have happened, within-country inequality has increased in most cases, even as between-country inequality has come down. But overall, because of the recent emergence of countries with large populations like China and India, there has actually been some reduction in global inequality, because of increasing incomes in the  “middle” of the global distribution. Chart 1 shows that, whether measured by the Gini coefficient (a measure of the dispersion of incomes of the population) or the Palma  ratio (the ratio of the share of income of the top ten per cent of the population to the bottom 40 per cent), inequality has declined especially since the turn of the century.

Chart 1: Global income inequality appears to have come down
How unequal are world incomes?
Source: World Inequality Report 2018. 

This is what gave rise to the famous “elephant curve” first described by the economist Branko Milanovic, which described percentage changes in income across different deciles of the global population. This showed a strong percentage growth  in  the  middle of the global income distribution (the back of the elephant),  much  lower  growth in the second decile, and a higher growth in the top decile (the trunk of the elephant).

But there are two important caveats to this. First, the “elephant curve” is based on proportionate increases in per capita incomes of each percentile – and obviously, the proportionate increase will be greater the lower the initial income.  If  incomes  are lower to start with, a higher proportionate increase may amount to much less increase  in absolute terms.  For example, a 20 percentage point increase of a per capita income  of $1000 (approximately the fifth decile, or the middle) would generate an additional
$200, but that would be only 1 percentage point increase of a per capita income of $20,000.

So it is worth looking at absolute changes in income, to see how the income gaps have really moved. When absolute changes are considered, the  middle  hump  of  the elephant disappears: the graph looks more like a hockey stick, with very little increase except for the top groups, which show very sharp increases.

A  second important concern is that these  incomes are anyway are estimated in terms  of Purchasing Power Parity (PPP) exchange rates rather than market exchange rates (MER). There are many reasons to  believe  that PPP measures overstate the  incomes  of people in poor countries, thereby underestimating global inequality. What is, the difference between PPP and has increased significantly over the past decades. The difference between the top ten per cent and bottom fifty per cent  of  the  population  was around 5 percentage  points more  in MER terms than in PPP  terms in 1980. But  by 2015, the difference between the two estimates had doubled to  ten  percentage points – which means that that the PPP measures increasingly underestimated global inequality over this period. In fact, the extent of international inequality is likely to be substantially more than is indicated by measures based on PPP exchange rates.

All this suggests that getting a real sense of the changed composition of global GDP and of the growing importance of emerging economies should be based on market exchange rates. This certainly makes sense when it comes to issues  of  global  economic power, since all international transactions still take place at those market exchange rates. Chart 2 provides  a look at the evolution of shares of global GDP of   the major geographical regions, measured at market exchange rates in current US dollars, from 1968 onwards.

The results are quite startling, at least for those who may have fallen for the hype surrounding emerging markets.  The apparent decline in the share of North  America  has been quite gradual, over a volatile trajectory, and more marked only after 2005, while for the European Union, the decline in share was really evident only from 2009 onwards. But for other regions, the overall absence of convergence is striking. Since  the late 1960s, the only region to show notable increases in share of global GDP was East Asia and the Pacific. All the other regions, covering most of  the  developing world, showed little or no increase in shares of global GDP over this entire period. Given that population growth rates were typically higher in these  regions  than  in North America and Western Europe, the differences in per capita income would have been even greater.

Even the greater dynamism of East Asia was largely due to only two countries: first Japan until the late 1980s, and then China in the  current century.  Chart  3 highlights the role of China,  whose  share increased from  less than 3 per cent in 1968 to nearly  15 per cent in 2016, with most of that increase occurring only after 2002.

Chart 2: Only East Asia shows a significant increase in global GDP shareHow unequal are world incomes?
Source: World Bank World Development Indicators online.

Chart 3: China has been responsible for the increase in the Asian share of global GDPHow unequal are world incomes?
Source: World Bank World Development Indicators online.

Furthermore, even in the more dynamic regions, in general the bulk of the people did not benefit from the increasing incomes. Table 1 shows the share of income increases  in the period 1980 to 2016 going to different segments of the population in major countries as well as in the world as a whole. Once again, it was only in China that the middle 40 per cent of the  population (below the  top decile) garnered slightly more  than 40 per cent of the income increase, roughly similar to the gains taken  by the  top 10 per cent. In all other regions,  the top decile clearly got away with the lion’s  share  of income growth. Russia’s trajectory bordered on the obscene, with the top decile getting more income increases than the country as a whole, at the cost of the bottom  half whose  incomes  declined absolutely. But  India’s experience was also stark: the  top  10 per cent got two-third  of income increases, and just the top 1 per cent got 28  per cent – suggesting changes in inequality equivalent to those in North America.

Share of income growth, 1980-2016

China Europe India Russia US-Canada World
Bottom 50% 13 14 11 -24 2 12
Middle 40% 43 38 23 7 32 31
Top 10% 43 48 66 117 67 57
Top 1% 15 18 28 69 35 27

Source: World Inequality Report 2018

So the much-vaunted global income convergence seems much more like a coming together of elites in rich and emerging market economies, excluding out  the  bulk of  the population everywhere.

This article was originally published in Business Line: March 26, 2018.

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