As
a visitor to INESAD and La Paz, I am staying in a friendly
hostel downtown. Last week I happened to stumble onto a Casino
night organised by the owners. It was all for fun and no real
money was exchanged. Everyone received 250 fake bolivianos (fbs)
worth of chips. If you managed to do well and double your pot to
500 fbs then you could exchange them for a free drink.
I
happened to be having dinner with some other travellers I had
just met on a table which was destined for Black Jack. Now this
was not like a real casino which to me can seem rather boring
and somewhat lonely as players silently make bets and collect
their winnings or losses. Instead the 10 players around our
table had really gotten into the spirit of things and supported
each other cheering and laughing through the whole game. Even
the dealer was on our side. The positive atmosphere led to a bit
of a winning streak for all of us. For a series of hands the
dealer was beat. What was noticeable to me, however, was that
those players who by the beginning of the winning streak had
amassed more chips kept betting close to the maximum allowed of
50 fbs, while those with smaller pots would bet closer to the
minimum of 5 fbs (with some exceptions).
As
we progressed through the winning streak, everyone's individual
pot grew. Proportionaly to our own pot sizes we were all
probably making roughly the same bets, lets say 5% of the total
pot (and therefore drawing similar proportions of winnings
back), yet the absolute difference between pot sizes of the
relatively chip rich and the relatively chip poor kept growing. The
pot size of those making small bets did not change much, while
the lucky ones with larger bets and pot sizes steamed ahead.
Even when the relatively chip poor increased their bets and thus
winnings on a hand, this made little difference to the overall
gap despite them increasing their pot by a larger proportion
than the richer players.
This got me thinking about the aim of many aid agencies and
governments to reduce inequality and poverty through pro-poor
growth in developing countries like Bolivia (1). What would this
really mean and is it achievable? Or should we be focusing on
different aims? Let me demonstrate what I mean with a simple
thought experiment. Let's use the most ambitious scenario: To be
pro-poor, growth needs to disproportionately benefit the poorest
segments of the population and reduce absolute poverty (2).
Let's assume a poor person earns around $600 (US) per year (or
just above the national poverty line in Bolivia of $1.6 per day)
and an average person earns around $5,000 per year (just above
the Bolivian $4,454.99
national per capita GDP adjusted for PPP (3)). The income gap is
$4,400 per annum. Lets assume that we have growth of 5% overall,
but that it is pro-poor in that the poorest wages are increasing
at 6% while the wages of the average person at 4%. After the
first year it will look as follows:
|
Year
|
Poor income
|
Middle Income
|
Gap
|
|
0
|
$ 600
|
$ 5,000
|
$ 4,400
|
|
1
|
600*1.06 = $ 636
|
5000*1.04 = $ 5,200
|
$ 4,564 (+ 164)
|
So
the absolute income gap has increased by $164 per annum. What if
the next year new and highly successful pro-poor policies were
implemented and the poorest´s wages grew at 12% and the better-off
only 3%:
|
Year
|
Poor income
|
Middle Income
|
Gap
|
|
1
|
$ 636
|
$ 5,200
|
$ 4,564
|
|
2
|
636 * 1.12 = $ 712
|
5,200* 1.03 = $ 5,356
|
$ 4,644 (+ 80)
|
So
even in a really optimistic (and perhaps somewhat unrealistic) scenario,
the income gap increased by $80 per annum, thus actually making
the growth anti-poor. Imagine the figures if you compare
the absolutely richest with the absolutely poorest. This begs
the question whether pro-poor growth and income inequality
reduction are compatible and complementary goals. Of course with
both these case scenarios the standard of living of the poorest
would have improved (assuming zero inflation), thus having a
poverty reducing effect, while inequality has increased.
Income inequality is thus clearly not telling the whole story.
In fact, as a previous Monday Morning Development Newsletter has
reported (4), consumption inequality for Bolivia is much lower
than income inequality (Gini 0.44 and 0.60 respectively) due to
the fact that consumption in developing countries is less
reliant on a formal wage than that in developed countries. A
Gini of 0.44 is closer to the income inequality recorded for USA
and thus paints a very different picture when being compared to
Bolivia. This large difference in the Gini coefficient has been
caused by simply changing the measure from income to consumption.
This brings me back to my casino night experience. Towards the
end of our Black Jack game roughly half of us had more than
doubled our initial pot, thus qualifying for a free drink. We
had exchanged the required 500 fbs and we used the rest to help
get drinks for those who did not quite have enough. We then
divided the left over chips equally between all of us and played
out the rest of the game.
The point here being that virtually everyone's pot did grow (income)
and the free drink we received individually (consumption) was
great, but having fun with the people around us and making new
friends (our social capital) and sharing our wealth (collectively
deciding to tax the rich to provide the same opportunities for
the poorer in our group) in the end were the things that made up
the whole experience. A person's income is not purely monetary
or wage driven. Nor can inequality be easily measured purely
from income statistics. Progressive taxation, non-cash
government transfers (benefits), access to public services,
opportunities in life (for a decent job, education, health
services and so on), and human and social capital all play their
part.
In
fact, depending on the country, even the total monetary income
someone receives can include a large number of sources. For
example wages, remittances and family support, government
welfare payments, interest earnings on savings and investments
and so on, all of which are rarely captured in wage and income
statistics. Inequality and poverty depend on all these factors
and are very relative.
Lowering inequality through pro-poor growth has particularly
been a focus of aid agencies in Bolivia. This article is not an
attempt to say that lowering absolute income inequality is not
an admirable goal. However, there needs to be a recognition that
it may be difficult to achieve it in societies with relatively
high levels of income inequality to begin with (as was
demostrated in the rather simplistic and stylised mathematical
example above). Although attention has been paid to non-income
dimensions of poverty, they have not yet been universally
incorporated into growth and inequality measures. Where attempts
have been made, Bolivia's progress looks much more positive (5).
In the Casino of life, many other factors determine how equal a
society is and increasing opportunities for all is perhaps a
more important aim that needs to be recognised in statistics.
(*) Visiting
Researcher at INESAD. The author happily receives comments at
the following address: ifenton@inesad.edu.bo .
(1)
See, for example, Klasen S., Grosse M., Thiele R., Lay J., Spatz
J. & Wiebelt M. (2004) “Operationalising Pro- Poor Growth: A
Country Case Study on Bolivia”.
(2) This is something
that is recommended in a recent paper by Negre M. (2010) “Concepts
and Operationalization of Pro-Poor Growth”, UNU-WIDER Working
Paper No. 2010/47.
(3) For the year 2009 – source
http://www.economywatch.com/economic-statistics/country/Bolivia/.
(4) See How
unequal is Bolivia really?
By
Lykke Andersen, La Paz, 11 February 2008
(5) For details of a study for Bolivia see Grosse M., Harttgen
K. & Klasen S. (2006) “Measuring Pro-Poor Progress towards the
Non-Income Millenium Development Goals”, UNU-WIDER Research
Paper No. 2006/38.