EMPLOYMENT PAPER
2000/4
Poverty and Structural Adjustment Some
Remarks on Tradeoffs between Equity and Growth
Rolph van
der Hoeven
International Labour Office
ISBN 92-2-112071-6
ISSN 1020-5322
First published 2000
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Adobe Acrobat's Portable Document Format (PDF)
Contents
Acknowledgements
Preface
Introduction
1. Stabilization, adjustment and poverty: A review from literature
2. Poverty and labour market developments: Some trends
3. Poverty, inequality and growth
Annex I
Bibliography
List of Tables
Acknowledgements
The views in this paper are those of the author and do not
necessarily reflect those of the International Labour Office. I benefited from comments by
participants at the Workshop of the Development Studies Association on "New Poverty
Strategies", White Knight Hall, University of Reading 8-10 April 1999 as well as from
comments by John Weeks, Fahrad Mehran and Claire Harasty.
Preface
The author argues that the adjustment experiences in the 1980s and
the adjustment and liberalization experiences in the 1990s have recently led to renewed
attention to issues on inequality, after the emphasis on adjustment policies in the 1980s
had relegated the discussion on inequality to the sidelines, not withstanding a greater
concern for poverty at the end of the 1980s and in the 1990s. This relative neglect of
inequality issues was partly the consequence of a stream of thought which argued that the
best way to tackle poverty, was to grow out of poverty, as changing income inequality,
which is often the consequence of deep rooted societal structures, which would take much
longer time. Others regarded measures to reduce inequality detrimental to growth and
therefore not warranted during periods of adjustment when all emphasis was to be placed on
reviving growth quickly.
The renewed attention to inequality can be on the one hand explained
by new research findings, that large income inequalities may be harmful to growth (based
upon the "new growth theory"), and on the other hand by increased concern for
socio-political questions, namely that large income inequalities would incite a growing
coalition of different groups in various countries against current measures of capital and
trade liberalization and globalization.
This paper therefore reviews literature on the effects of
stabilization and adjustment policies on poverty and inequality and, secondly, reviews the
effects of of adjustment and liberalization on various labour market aspects such as
informalization of employment, wage inequality, human capital formation and degree of
workers organization.
In the last section, the paper argues that reduction of
inequality can greatly reduce the number of households in poverty and that efforts to
reduce poverty mainly by stimulating growth are not sufficient and need to be complemented
by efforts to reduce inequality. Policymakers should therefore shift to policies
which increase equality if the goal of poverty eradication of the World Summit for Social
Development is to be taken seriously.
This paper will appear in an edited volume: Booth, A. and Mosley, P.
(eds.) (2000): New Poverty Strategies, MacMillan, London.
W. Sengenberger
Director
Employment Strategy Department
Introduction
The adjustment experiences in the 1980s and the adjustment and
liberalization experiences in the 1990s have recently led to renewed attention to issues
on inequality. Inequality was a topical issue in the 1970s when major attention was given
to it by scholars and international organizations such as ECLA and ILO. The emphasis on
adjustment policies in the 1980s has relegated the discussion on inequality to the
sidelines, not withstanding a greater concern for poverty at the end of the 1980s and in
the 1990s. One stream of thought argued that the best way to tackle poverty was to grow
out of poverty. Income inequality is often the consequence of deep rooted societal
structures, which would take time to change. Others regarded measures to reduce inequality
detrimental to growth and therefore not warranted during periods of adjustment when all
emphasis is needed to be placed on reviving growth quickly. Such views were of course not
uncontested (van der Hoeven 1995; ILO 1996; Ravallion 1997) but only recently has the
concern for inequality in the discussion on adjustment and liberalization entered into
mainstream discussion again (Rodrik 1998; Stiglitz 1998; Tanzi and Chu 1998). This renewed
attention can be partly explained by very specific socio political reasons, namely that
not only large inequalities may be harmful to growth following the analysis of the
so-called new growth theory but also that large inequalities would incite a growing
coalition of different groups in various countries against current measures of capital and
trade liberalization.
In the light of this debate, three themes are explored in this
paper. First a review of literature on the effects of stabilization and adjustment
policies on poverty and inequality and, secondly, a review of adjustment and
liberalization on various labour market aspects such as informalization of employment,
wage inequality, human capital formation and degree of workers organization. This
discussion in Chapter I and Chapter II confirms the notion that in several cases
stabilization, adjustment and liberalization have contributed to greater inequality as
argued recently also by Cornia (1998). Often it is argued that inequality is not a policy
concern as long as countries have a good growth performance which would allow a decline in
numbers of persons in poverty ("a rising tide will lift all boats").
The last chapter of the paper explores therefor effects of growth
and equality on poverty. It is argued that reduction of inequality can greatly reduce
the number of households in poverty and that efforts to reduce poverty mainly by
stimulating growth are not sufficient and need to be complemented by efforts to reduce
inequality. Policymakers should therefore shift to policies which increase equality
if the goal of poverty eradication of the World Summit for Social Development is to be
taken seriously.
1. Stabilization, adjustment and poverty: A review from literature
The question whether stabilization and adjustment is causing poverty
cannot be answered in a straightforward manner. It is difficult to define poverty, but for
our purposes, it suffices to define poverty as the percentage of households with an
average income below a certain poverty threshold (see Fields, 1993). Although there are
quite some objections against such a simple definition of poverty (see Foster et al.,
1984; and Kanbur, 1987), this definition is much more clear cut than any definition of
stabilization and adjustment. What constitutes such policies? One easy answer is a very
practical one, namely that stabilization and adjustment policies are defined as the set of
policies of those countries which have accepted one or more structural adjustment loans
from the World Bank since this term was introduced. Such a definition based upon actual
practice shall be used.
Based upon various evaluation reports (e.g. World Bank 1996), we can
define structural adjustment policies as a set of policies which combine short-run
stabilization measures and longer-run adjustment measures, which are either applied
sequentially or simultaneously or overlap each other.
The set of stabilization policies consist of the following elements:
- fiscal policies reducing the public budget deficit;
- monetary policies reducing the money supply either directly or
through interest rate policy;
- wage and price policy to control inflation in support of the above
policies (orthodox programmes) or replacing these partly (heterodox policies);
- exchange rate policies to reduce the balance of payment deficits.
The set of adjustment policies contains policies to make product and
factor markets operate more smoothly by removing "obstacles" through removing
price controls and subsidies through a process of liberalization. An important element is
also formed by a reform of trade policies to strive for freer trade. Further, a
restructuring of the public sector and privatizing of publicly-owned enterprises to reduce
the fiscal deficit and to make enterprises more profitable is also part of a structural
adjustment programme.
The above description makes it clear that it is much more difficult
to delineate a set of proper adjustment policies than it is to delineate the components of
stabilization policies. For example, one could question to what extent a change of trade
regime is part of "normal" policy and to what extent it is part of an adjustment
effort. It is here that the concept starts to lose some ground. We therefore discuss in
this section first the relation between stabilization policies and poverty and then
discuss adjustment policies in relation to some recent trends in the labour market.
1.1 Stabilization policies and poverty
The instruments of stabilization policies mostly applied are fiscal
policies and monetary policies coupled with wage policies and devaluation and thus form
part of macro economic policy. Fiscal and monetary policies deflating the economy as part
of a stabilization programme reduce the absorption in the economy, which lowers growth
rates or even results in decline in the national income. The simulation models applied by
Moshin Khan of the IMF (Khan, 1990) point to an effect of reduced growth of usually one or
two years. How do such deflationary policies affect poverty? If one assumes that income
distribution does not change, then a deflationary action, per definition, increases
poverty. How much poverty increases depends not only on the amount of deflation but also
on the parameters which determine the slope of the income inequality function around the
cut-off point for poverty. A first approximation is therefore that stabilization policies
increase poverty. However, it is difficult to maintain the assumption that income
distribution remains unchanged during a process of stabilization, since the very policy
instruments applied in the stabilization process change the parameters of the various sets
of income distribution, such as income before tax (wages, profit, rents), income after tax
and net incomes which include the imputed benefits of public services (respectively,
primary, secondary and tertiary income distribution (Ndulu, 1992)).
How stabilization policies affect income distribution depends not
only on the nature of the policies but also on the forces which drive income inequality,
what Taylor (1988) calls the social matrix and Khan (1993) calls the interface
between institutional organization and policy regime of the country applying stabilization
policies. Based upon an overview as part of a UN/WIDER set of studies of the stabilization
experiences in the mid-1980s of 17 countries, Lance Taylor concludes:
The moral is that getting into and out of economic stabilisations
are not processes independent of major groups in the country, their political role, and
insertion in the economic system. On the whole, professional economists deal uneasily with
these issues, and often carry through their analyses of economic classes and their
political roles ineptly. But such factors have ben vital to the successes and failures of
many stabilisations "with a human face". This can only be realized on the basis
of a serious analysis of the social matrix (Taylor, 1988).
Early analysis of the effects of stabilization policies pointed to
an adverse effect on the poor which was at least equal to the deflationary push and often
larger (Cornia, Jolly and Stewart, 1987; van der Hoeven, 1987; PREALC, 1985). The
contraction in the economy has also frequently led to a decline in the wage share in
national income, as Manuel Pastor has demonstrated (Pastor, 1987). Some authors (e.g.
Sahn, 1992) argue that poor people do not take part in the formal economy and especially
do not make much use of government services, and hence, are less (either negatively or
positively) affected by stabilization policies than non-poor groups which used to profit
much more from public services. Hence, stabilization policies and especially the fiscal
contraction results in a more equal tertiary income distribution. These views are however
questioned by many observers. In general it is accepted that the deflationary component of
stabilization policies results in increased poverty, although the intensity depends both
on the relative weight and intensity of the policies adopted as well as on the initial
conditions, as Khan (1993) has recently demonstrated. Khan (p. 15) classifies countries
into four groups which are characterized by the degree of efficiency (that
is having basically the right policies and institutions to adapt to world market
conditions and changes, and hence a positive growth of labour and/or total factor
productivity) and by the degree of egalitarian structure (that is fair
distribution of income and assets).
In an efficient, egalitarian country a balance of payments
deficit which requires adjustment is typically caused by an external shock or by an
overheating of the economy. In such a situation the correct answer is often a quick
stabilization policy, of a deflationary nature which will result in a temporary increase
in unemployment and a temporary drop in real wages. The efficiency of the economy will
quickly allow for a recapturing of world market and the egalitarian system will keep a
hold in the increase of poverty. However, few countries fall in this category.
A large number of countries fall in the efficient inegalitarian
group. In this group a stabilization and deflationary policy will increase poverty and
unemployment and several groups of the population will be worse off after the policy.
Institutional and policy changes are needed to reverse this situation. The deflationary
elements of the stabilization programmes should be scrutinized for their poverty enhancing
impact. Corrective measures should be taken by retargeting public expenditure, by the
provision of compensatory programmes to the group of citizens most effected and by an
alteration of production patterns and ownership structures so that poorer groups such as
peasant farmers and small scale industries can improve their production and productivity.
A third group of countries falls into the category of
inefficient egalitarian economics. In this situation adjustment programmes ought to
concentrate on long term structural changes and changing incentive structures and
institutions for economies to react better to world market signals. Stabilization
programmes will in this situation not bring about a resumption of growth, putting the
egalitarian system under strong pressure and often causing its breakdown, placing
countries often in the fourth category of countries.
The fourth category of countries consists of countries which combine
an inefficient and inegalitarian system. The main challenge for countries in this
group is a resumption of growth and a reduction of inequality allowing the whole
population to benefit from growth. It is in these groups of countries that adjustment
programmes often break down and emphasis on stabilization and deflationary policies will
frequently not lead to the desired results. Countries need simultaneously to remove
structural impediments which lead to inefficiency and to remove structural impediments
which prevent a egalitarian development. Adjustment policies should therefore be part of
an overall and continuous development process which combines adaptation to foreign
competition, industrial and agricultural policies for small and large scale producers with
programmes of land redistribution, investment in human capital.
1.2 Macroeconomic efficiency and growth
It is, especially in the context of discussing stabilization
policies, important to distinguish between short-term and long-term effects on growth. As
argued above periods of adjustment policies dominated by stabilization were often
characterized by a contraction in the economy, which led to a fall in GDP per capita. Such
a contraction is accompanied by lower rates of capacity utilization. Several economists
have therefore argued that a first prerogative of macroeconomic policies in a
stabilization phase is to increase capacity utilization, a this will contribute to a
non-inflationary growth. Taylor (1988 and 1993) has criticized the financial accounting in
most stabilization packages of failing to take account of the importance of increases in
capacity utilization. Monetary policies and income policies can play an important part in
such a process of increasing capacity utilization and of reviving non-inflationary growth.
However, in general there is more attention in the literature to the
relation between macroeconomic policies and long-term growth. Fisher's overview article
(Fisher, 1991) is a good representation of this. Fisher starts from the premise that
current thinking among economists differs from current thinking in the 1970s, when it was
generally accepted that short-term cyclical movements should be dealt with through
(Keynesian) effective demand policies, while growth or at least the trend of growth should
result from more structural policies. In the 1980s, this was upset by the experience of
adjustment policies as well as by the resurgence of the new growth theory which, although
emphasizing structural phenomena to explain growth and the acceleration of growth also
takes variables relating to macro economic policy climate into account (Romer, 1986; and
Lucas, 1988; see also the discussion in Easterly, 1990, and Romer, 1991).
Cross-country regression using various variables in line with the
neoclassical growth theory and the new growth theory as well as macroeconomic variables
(both outcome variables such as inflation rate, and current account deficit, as well as
policy variables such as budget surplus) suggests some relationship between macroeconomic
policies and growth. "The evidence supports the view that the quality of
macroeconomic management reflected in these regressions in the inflation rate, the
external debt ratio and the budget surplus, matters for growth" (Fisher, 1991, p.
342). However, Fisher also points out that although it would be logical to try to tie down
precisely which macroeconomic indicators are most robustly associated with growth, this
would not lead to instructive results (as also Levine and Revelt, 1991 have shown). The
main reason for not being able to draw lessons for individual policy instruments is that
the variables of macroeconomic policy and especially variables such as the debt ratio, the
budget surplus and the current account deficit are not truly exogenous with
respect to growth. Faltering growth can affect the level of each of these variables,
leading, for example, to larger current account deficits, larger budget deficits and
higher debt ratios. In short, there is a large degree of simultaneity in the relation
between growth and macroeconomic variables.
The result of most cross-section analysis is that one can argue
broadly that good macroeconomic policies will contribute to growth, but that determining
what exactly constitutes good macroeconomic policy is something which cannot be taken up
with absolute certainty as it depends apparently much on the specific situation in each
country. In order to solve the problem of causality, Fisher (1991) resorts to emphasizing
the relation between some macroeconomic variable and a major determinant of growth, namely
investment, in order to establish, in an indirect way, a relation between macroeconomics
and growth. Evidence is reported that inflation is negatively correlated to investment but
also that the budget surplus is negatively correlated to investment, a result which Fisher
interprets as counter-initiative since a positive relation between surplus and investment
and, hence a negative relation between deficits and investment, does not tally well with
the crowding-out hypothesis of budget deficits. However, others like Taylor (especially
Taylor, 1988) would accept such results as being acceptable since in many instances public
investment crowds-in private investment if conditions of stability and ownership rights
are respected.
A final attempt to establish more robust relations between
macroeconomic policy and growth is then done through combining country studies and time
series, in which again investment is treated as the most crucial variable. The major
conclusion of the more qualitative analysis is that uncertainty or instability in
macroeconomic variables reduce investment and hence, growth. More recent work by Serven
and Solimano (1992) also confirm these conclusions. Dornbusch (1990), analysing policies
needed to move from stabilization to growth, offers the same line of argument. He also
concludes that responsible macroeconomic policies contribute to growth, but he finds it
also difficult to define exactly what responsible macroeconomic policies are. The debate
on whether a 20 per cent annual inflation rate is responsible or not has not been settled.
What seems to be important throughout the various discussions in Dornbusch is the degree
of uncertainty.
Most of the analyses discussed in the previous paragraphs relate
macroeconomic policies to growth in terms of rather aggregate variables such as the fiscal
deficit, the inflation rate, money supply etc., and only weak relations were found.
However, what is important in assessing this relation is not only the absolute levels of
these macroeconomic aggregates but also the content of macroeconomic policy, especially
fiscal policies. Buffie (1994) and Stewart (1992) for example indicate that fiscal
contraction can have a negative effect on economic growth when essential investments in
infrastructure and in human capital are neglected. Buffie (1994), through a general
equilibrium model, shows furthermore that short term contractionary policies may force the
economy in a low level equilibrium trap.
1.3 Macroeconomic efficiency and income distribution
Theoretically, macroeconomic policy as almost, per definition, an
effect on different types of income distribution. This becomes immediately apparent when
one considers the distinction between primary income distribution, which relates to total
income earned, secondary income distribution, which relates to income after tax and
transfers, and tertiary income distribution, which includes the imputed income of
government services.
Tight monetary policy, as far as it relates to interest policy, will
be beneficial to holders of interest-bearing assets which are usually found in the higher
income groups. Furthermore, to the extent that higher interest rates depress (at least
initially) economic activity, a strict application of monetary policies results in more
unemployment and lower wages. For at least tow reasons, a more unequal primary income
distribution can thus be expected from strict monetary policies. The effects on income
distribution of a more relaxed monetary policy resulting in higher inflation are more
difficult to gauge. It actually depends on whether wage income and pensions are properly
indexed in order to keep real wages and pensions constant (Marinakis, 1993). Experience
shows that high inflation is often regressive (and therefore not much liked by the
electorates). However, the redistributive effect of lower levels of inflation is more
difficult to determine and research outcomes are ambiguous (Dornbusch, 1990).
Fiscal policies have, by definition, an effect on income
distribution since taxes determine the net disposable incomes of the families. Indeed, one
of the aims of tax policies is precisely to bring about a redistribution in the economy,
although the extent to which this is possible is often put into question (for example, see
the discussion in Newbery and Stern, 1987). The effect of different tax measures on
secondary incomes depends much on the composition of taxes. In many developing countries,
tax systems rely heavily upon indirect taxes which make the tax system regressive rather
than progressive. For example, in Latin America direct taxes are equal to some 3 per cent
of GDP while they are equal to 10 per cent of GDP in Europe. A switching of tax base
favouring direct taxes could make secondary income distribution much more equal.
Public expenditure policy through providing services to poorer
groups can change tertiary income distribution considerably. In effect, a sizeable
literature existed at the end of the 1970s and in the early 1980s on the distributive
aspects of government expenditure (Paukert, 1984; see also Jiminez, 1986). Distribution on
the effects of government expenditure on the welfare situation of household was often
dealt with in a static way. In the light of the new growth theory, the issue of the
distributional aspect of government services becomes more important, since the access to
government services is not a consumption or an imputed income element but contributes
directly to growth. Whether such growth will be more or less equal (or whether a tertiary
income distribution will affect the primary income distribution in the future) cannot be
argued a priori. This depends clearly on whether poorer groups through income
earning assets or high factor rewards can profit from the change in growth rate.
1.4 Adjustment and poverty
The major effect on poverty as part of the stabilization package is
however not expected to result only from the macro economic deflationary package but also
from the switching package, i.e. devaluation of the national currency which changes the
price ratio between tradeable and non-tradeable goods. Exchange rate policies are applied
to stabilize the economy as well as to change production patterns and belong thus partly
to stabilization measures and partly to adjustment measures. Here the key question is to
what extent the poor are producers of tradeables and non-tradeables and consumers of
tradeables and non-tradeables. The theory is rather agnostic. The application of the
Salter-Swan type of analysis is now widespread (Sachs and Larrien, 1993; Demery and
Addison, 1993) . The difficulty lies with the interpretation of the theory in practice.
Firstly, the definition of tradeables is not as clear as it may sound. Secondly, the
production patterns and consumption patterns of the poor cannot easily be mapped on the
category of tradeables and non-tradeables, as some want to lead us to believe. The
complication is well explained in Jamal and Weeks (1993) and in Stewart (1995). Stewart
argues that initial conditions determine whether switching policies lead to more
employment and poverty, reduction or not. In the absence of growth, employment and income
distribution (and thus poverty) are likely to worsen following devaluation in economies:
- specializing in mineral exports or agricultural products whose
production is unequally distributed;
- where urban poverty is high in relation to rural poverty;
- where there is a: large oligopolistic modern sector, specialized in
import substituting production - this will affect urban incomes in particular.
Employment, income distribution and the poverty situation are most
likely to improve where:
(iv) tradeables ae labour-intensive relative to non-tradeables (i.e.
in economies specializing, especially at the margin, in labour-intensive manufactures or
labour-intensive agriculture);
- rural poverty is high in relation to urban poverty, and rural incomes
(and tradeable production are fairly evenly distributed.
The effect of other adjustment policies on poverty is more difficult
to judge. For example, the effect of privatization on poverty or of a shrinking in the
public sector employment depend very much on whether, for example, dismissed civil
servants belong to poor groups or not, whether they can find other jobs, and whether the
privatization process will result in a decline in the tax burden for the poor. Also, the
effect of deregulation cannot be predicted in advance. If deregulation reduces
rent-seeking by wealthy and influential groups and this results in lower prices of
products consumed by the poor, then adjustment policies can contribute to a decline in
poverty. However, if deregulation results in the creation of natural monopolies, then the
effect of deregulation on the poor can be negative. The effects of adjustment policies on
poverty depend therefore much more on the initial social economic setting in the country
undergoing adjustment and on the type of adjustment policies applied. The next chapter
will therefore review some aspects of adjustment policies and poverty especially in
relation to some labour market issues.
2. Poverty and labour market developments: Some trends
In order to get a better appreciation of the effects of adjustment
policies, we look particularly at three effects on the labour markets which the various
developing regions underwent namely: the effect on the quality and quantity of employment,
on wages and on income distribution in general and on human resources.
By discussing a number of labour market trends one may wonder
whether the direction of these trends are the consequences of adjustment policies. Some
argue that with so many adjustment policies adopted in all developing countries and
considering that most were carried out for a decade or more, there exists a causal link
between these policies and labour market trends. Others argue however that adjustment
policies prevented a fall in production and income and that without them the situation
would have been much worse, and as a consequence, poverty also. This often held debate, on
the so-called counterfactual, is difficult to settle and can be best held on the basis of
carefully undertaken country studies which involve the use of (general equilibrium) models
to generate hypothetical course of development without adjustment. These methods have
their drawbacks. Robinson (1990) in discussing a set of general equilibrium models argues
that these models are useful to increase understanding but that because of assumptions of
parameter values and reaction coefficients they are improper for policy evaluation and
advice. The next section provides, in the general framework of this paper a broad
overview. For more specific country analysis on adjustment and labour market issues, the
reader is referred to, for example, van der Geest and van der Hoeven (1999), Garcia
(1993), Islam (1994), Khan (1992) and Toye (1995).
2.1 Changes in employment patterns
In Africa since the introduction of adjustment programmes, the
percentage of the labour force working in formal sector jobs has declined (Table 1). This
is mainly due to a declining number of workers in state enterprises and the inability of
the economic and social system to generate sufficient jobs in other sectors to accommodate
both the retrenched workers from the public sector. Industrial and formal service
employment have hardly increased (van der Hoeven and van der Geest, 1999). The aim of the
liberalization and reform programme is to create conditions for stronger (formal sector)
growth and quite some impressive policy changes have been made in Africa. Exchange rates
have been adjusted, currencies have become (almost) fully convertible and budget deficits
have decreased. In most countries per capita growth has become positive. However despite
all these policy changes the recovery in Africa has not translated itself yet in massive
creation of new jobs. Of course adjustment takes time, and adjustment programmes have been
stretched from an initial round of 2-3 years to programmes of 5 years and longer in order
to take into account necessary structural changes, but nevertheless results are very
slowly forthcoming, putting the achieved stabilisation measures under pressure.
International markets have well sensed this ambivalence in African adjustment programmes.
Despite the richness in terms of primary commodities, climatic conditions and low
(international) cost of labour (following successive devaluation of the currencies
especially in English-speaking Africa) foreign domestic investment, which is needed to
provide the financial backing for the necessary structural changes, has not been
forthcoming. This makes it even more difficult to manage the transitional cost of the
present in Africa.
Table 1: Sub-Saharan Africa: Evolution of
employment in the formal sector during the adjustment phase (as % of the active
population)
| Country |
1990 |
1995 |
| Kenya |
18.0 |
16.9 1 |
| Uganda |
17.2 |
13.3 |
| Tanzania, Republic of |
9.2 |
8.1 |
| Zambia |
20.7 |
18.0 1 |
| Zimbabwe |
28.9 |
25.3 |
| 11994 |
Source: R. van der Hoeven, W. van der Geest (1999)
Employment experiences in Asia have differed substantially in East
and South Asian countries on the one hand and Southern Asian countries on the other. In
the former countries there has been sustained high formal sector employment growth in most
countries, resulting in increases in the real manufacturing employment. In South Asia on
the contrary there are strong indications that employment in the informal sector has
expanded (see ILO 1996 for more details). Also in Latin America, transitional costs of
liberalization policies have been high. As Lee (1996) points out "The experience of
Chile in the early 1980s illustrates the severe effects of overshooting in terms of
stabilisation policy. Output contracted by 23 per cent in 1982-93 and unemployment
remained above 23 per cent for 5 years. Similarly the Mexican crisis of 1994-95
illustrated the devastating effect of wrong monetary and exchange rate policies"
(p.489).
Table 2: Informal employment as % of labour
force (non-agricultural) Selected countries in Latin America
| |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
1996 |
1997 |
| Latin America |
51.6 |
52.4 |
53.0 |
53.9 |
54.9 |
56.1 |
57.4 |
57.7 |
| Argentina |
47.5 |
48.6 |
49.6 |
50.8 |
52.5 |
53.3 |
53.6 |
53.8 |
| Brazil |
52.0 |
53.2 |
54.3 |
55.5 |
56.5 |
57.6 |
59.3 |
60.4 |
| Chile |
49.9 |
49.9 |
49.7 |
49.9 |
51.6 |
51.2 |
50.9 |
51.3 |
| Colombia |
55.2 |
55.7 |
55.8 |
55.4 |
54.8 |
54.8 |
54.6 |
54.7 |
| Mexico |
55.5 |
55.8 |
56.0 |
57.0 |
57.0 |
59.4 |
60.2 |
59.4 |
| Paraguay |
61.4 |
62.0 |
62.2 |
62.5 |
68.9 |
65.5 |
67.9 |
59.4 |
| Uruguay (Montevideo only) |
36.3 |
36.7 |
36.6 |
37.0 |
37.9 |
37.7 |
37.9 |
37.1 |
| Venezuela |
38.8 |
38.3 |
37.4 |
38.4 |
44.8 |
46.9 |
47.7 |
48.1 |
Source: ILO (1998).
Strong recovery took place in Latin America in the 1990s, with
almost all countries having a positive GDP growth rate but as the Regional Office of the
ILO (ILO 1995) indicates, unless the GDP growth rate is robust at levels well above the
labour force growth and sustainable (see also Fanelli and Frenkel 1995 and Amadeo 1996),
growth in formal sector jobs remains limited. In effect, also in most countries in Latin
America one detects an increase in the number of workers in the informal sector (Table 2)
which makes many workers understandably fearful of further liberalization measures.
Investigations by the Regional Office of the ILO confirm that growth in formal sector jobs
is correlated with high economic growth, irrespective of the type of labour market
regulations followed (ILO, 1995).
2.2 Changes in wage and income inequality
Another phenomenon which is observed in many countries is an
increase in wage and income inequality. For those countries where reliable data are
available in the 1980s, income inequality increased in Asia in 6 out of 12 countries:
Bangladesh, Indonesia, Thailand, China, Singapore and Sri Lanka; in Africa in 4 out of 6
countries: Nigeria, Tanzania, Kenya and Ethiopia; and in Latin America in 9 out of 14
countries: Bolivia, Mexico, Argentina, Brazil, Panama, Venezuela, Guatemala, Honduras,
Peru. (See World Bank, 1996).
Changes in income inequality are in themselves often a sign of worry
although these changes must be seen in wider perspectives. Firstly, some countries start
from a low base. Income inequality is low in many Asian countries and slight increases in
inequality, especially when accompanied by strong growth, will not result in increased
concern by workers. And even in countries with high income inequality strong growth may
diffuse concern by lower income classes. Secondly, income inequality figures do give only
a limited indication of inequalities in society. A rich person paying for an expensive
medical treatment, which is paid for in other countries by the state may be in fact not
better off than a sick person in that other country. However, in general, changes in
income inequality reflects changes in inequities in society, which can have important
effects on the social climate and willingness to change.
Theory on income inequality and adjustment and trade liberalization
points often to declining inequality, as adjustment and trade liberalization will favour
the production of goods by the production factor in which a country has comparative
advantage (for most developing countries unskilled labour) (Berry et.al. 1997). However,
evidence is often not supporting these theoretical outcomes. ILO (1996) indicates for
example that in most countries in the 1980s which underwent structural adjustment
programmes, wage dispersion increased with falling real wages (Table 3). Also World Bank
(1997) argues that "information on wage inequality in developing countries is sparse
and mixed". "Evidence from East Asia supports the view that greater openness in
countries with an abundance of unskilled labour benefits this type of labour" but
"even for these countries however, the picture of relative wages is more complex,
reflecting the interplay of the increase in relative demand for unskilled labour and the
supply of skilled labour". For Africa "greater openness and policy changes in
the 1980s are associated with recovery in growth and some reduction in poverty, but with
an increase in equality in some cases". It continues that "The generally
favourable verdict on East Asia in the 1960s and 1970s has been brought into question by
analysis of experience in Latin America in the 1980s. In some countries increased openness
has been associated with widening wage differentials" (p.61).
Table 3: Wage dispersion and real wage
changes in manufacturing (US$) (1975-1979 to 1987-91)
| |
|
Wage Dispersion |
Real Wage |
| Asia |
Singapore |
-12.5 |
58.5 |
| Taiwan China |
-9.8 |
151.5 |
| India |
-9.3 |
-2.5 |
| Korea, Republic of |
-8.2 |
116.9 |
| Indonesia |
4.7 |
-22.0 |
| Philippines |
7.4 |
12.5 |
| Sri Lanka |
8.2 |
-10.2 |
| Pakistan |
14.7 |
17.9 |
| Malaysia |
19.8 |
2.8 |
| Thailand |
49.2 |
29.5 |
| Africa |
Mauritius |
-25.1 |
-37.3 |
| Zimbabwe |
-8.8 |
-32.2 |
| South Africa |
6.8 |
-7.4 |
| Kenya |
17.2 |
-40.4 |
| Tanzania |
38.0 |
-83.1 |
| Latin America |
Colombia |
-5.3 |
-31.5 |
| Uruguay |
1.8 |
-3.9 |
| Mexico |
15.1 |
-44.5 |
| Guatemala |
25.3 |
-41.2 |
| Peru |
26.5 |
32.7 |
| Argentina |
26.5 |
-29.1 |
| Panama |
27.2 |
-17.1 |
| Brazil |
34.2 |
-15.5 |
| Chile |
55.4 |
-16.6 |
Source: ILO (1996).
The facts thus seem to be clear. The increasing inequality may lead
to different conclusions however. One conclusion is that liberalization has not been
advanced sufficiently and that domestic labour market constraints have inhibited the
markets to profit from liberalization (as in World Bank, 1997). One might also conclude
that the liberalization process is influenced by other mechanisms which are not explained
by the traditional Hecksher-Ohlin theory which lie at the heart of the theories of
comparative advantages. Alternative explanations for increased inequality introduce more
than two categories of labour (namely no education, basic education and higher education)
and argue that for successful export production at least basic education is necessary
(Berry et.al. 1997, p.14, also Owens and Wood, 1997). Other explanations are that
manufacturing tends to be dominated by large companies in the formal sector where wages
are higher which have weak linkages to the small scale sector ("globalization
accentuates the disadvantage of small scale producers"), or that liberalization makes
it easier to import capital goods (especially if exchange rates are overvalued) which
increases productivity and raises the demand for skilled labour (UNDP, 1997).
Furthermore Amsden and van der Hoeven (1996) observe that the
distribution between incomes from labour and capital in industry has shifted in the
direction of capital in the 1980s which has led to changes in consumption patterns and
lifestyles adding to inequity (see also Pieper, 1997, and ILO, 1996). Also liberalization
has resulted in the decline of trade union membership which has weakened the bargaining
power of workers (as we will further discuss in section 2.4).
2.3 Changes in human capital formation
Liberalization and adjustment programmes in developing countries
have put social expenditure under strong pressure. However in some countries downward
pressure on expenses on education, health and social welfare, started already during the
economic crisis before adjustment programmes were applied. Adjustment programmes are
therefore not necessarily the principal cause of decline in social expenditure, although
they failed in most cases to reverse the decline. A recent evaluation of adjustment
programmes by the World Bank has pointed out (World Bank, 1996) that especially in Latin
America and Africa, adjustment programmes were accompanied with a decline in the
percentage of social expenditure in total government expenditures (Table 4) Given the fact
that total government expenditure often declined in absolute terms, this resulted in
declining per capita expenditure figures. Declining government expenditure will not
necessarily be detrimental to poorer classes. Alesina (1998) points out that often middle
classes and more vocal political groups profit most from government expenditure and that
therefore a decline in government expenditure might hurt them more than the poor. However
looking at educational and health indicators measuring primary and secondary school
enrolment and infant mortality which are relevant to the poor one notices a deterioration
in education standards and a slowdown in the decline in infant mortality rates during
adjustment and less than full recovery after adjustment (Table 5). This is strongest felt
in Africa, where actually in a number of countries primary school enrolment rates declined
(a phenomenon unprecedented in history) affecting large parts of the population especially
in poorer areas (van der Hoeven and van der Geest, 1999), as well as in Latin America
where especially the middle class suffered large setbacks in providing their children with
accessible quality education.
Table 4: Composition of social sector
expenditures (percentage of GDP)
| |
Asia |
Latin Americaa |
Sub-Saharan Africaa |
| |
Before |
During |
After |
Before |
During |
After |
Before |
During |
After |
| Expenditure |
| Total social spending |
2.7 |
3.3 |
3.4 |
7.1 |
7.3 |
7.8 |
5.9 |
5.6 |
5.3 |
| Education |
1.8 |
2.2 |
2.2 |
3.0 |
2.7 |
2.6 |
3.4 |
3.3 |
3.1 |
| Health |
0.5 |
0.6 |
0.6 |
1.7 |
2.1 |
2.4 |
1.3 |
1.2 |
1.1 |
| Percentage of total expenditures |
| Total social spending |
17.9 |
19.6 |
19.6 |
23.7 |
23.4 |
19.3 |
26.1 |
22.4 |
19.9 |
| Education/total expenditures |
11.8 |
12.9 |
12.6 |
19.6 |
16.9 |
14.3 |
16.3 |
14.2 |
13.5 |
| Health/total expenditures |
3.6 |
3.4 |
3.7 |
9.2 |
10.9 |
11.0 |
6.0 |
5.4 |
5.2 |
Note:a = Only countries with data for the
post-adjustment period.
Source: World Bank (1996).
Limited or absence in progress in education has not only serious
implications for efforts by countries to increase productivity for production for domestic
markets and export markets but also for income inequality. Londono (1996) argues for
example that the growing uneven distribution of human capital in Latin America has
increased income inequality and provides figures that the dispersion in human capital
increased the Gini concentration coefficient by 5 points. Furthermore a strong correlation
between the growing number of households in poverty and the growing number of households
headed by illiterate household heads is suggested (p.16).
Table 5: Trends in the selected social
indicators
| |
Asia |
Latin Americaa |
Africaa |
| Indicator |
Before |
During |
After |
Before |
During |
After |
Before |
During |
After |
| % change in gross enrolment ratio |
1.3 |
0.5 |
0.3 |
1.4 |
-0.4 |
1.0 |
4.7 |
-0.5 |
-0.4 |
| % change in infant mortality rate |
-2.5 |
-3.1 |
-3.6 |
-5.6 |
-2.5 |
-2.4 |
-1.8 |
-1.7 |
-1.4 |
Note:a = only countries with data for the
post-adjustment period.
Source: World Bank (1996).
UNCTAD (1997) reports on educational attainment and the skill
intensity of exports in a number of countries. The analysis "lends support to the
hypothesis that educational attainment is a necessary but not a sufficient condition for
skill-intensive production". "All countries with a high share of skill-intensive
exports also have a relatively high educational attainment while evidence from countries
such as Argentina, Chile, Peru and Uruguay suggests that relatively high educational
attainment does not automatically translate into skill-intensive exports".
"Almost all countries where high educational attainment has translated into
skill-intensive exports are those that have sustained a rapid pace of capital
accumulation, technological upgrading and productivity growth over many decades"
(p.158).
The relation between adjustment, education, skills and productivity
increases are thus complex, but data are sufficiently robust to argue that a slowdown or
reversal in primary and basic secondary and vocational education contributes to greater
inequalities in societies and that this hampers countries possibilities to take full
advantage of increased production for exports.
3. Poverty, inequality and growth
3.1 A tradeoff between growth and equity?
We have reviewed briefly the relation between stabilization,
macroeconomic policy and adjustment policy on growth and equality. This chapter discusses
in more detail the interlinkage between growth, inequality and poverty.
A trade-off between growth and income equality is often based upon
the argument of accumulation, i.e. lower income inequality would lower national savings
rates and hence, hamper future growth. Evidence of research in the 1970s has shown rather
convincingly that the savings arguments for a trade-off between income equality and growth
is often not valid, and were it valid, it is only a weak explanatory variable. Country
studies have provided examples of countries which combined high income equality with high
growth rates.
The discussion on inequality and growth has received recently
impetus from authors who combined new growth theory - which endoginizes technical progress
- with political economic models - which endoginize political decisions. These authors
argue that inequality is harmful to growth. Alesina and Perotti (1994) discuss several
causal links which underlie this notion. Links on a more traditional economic footing,
include the effect of income inequality on the composition of the demand and the effect of
inequality on factor endowment effecting the supply of human capital. A more equal income
distribution leads to an increased demand for industrial goods which triggers off
innovation and growth. Growth is further enhanced by increased investment in education by
low income groups, as a consequence of increased equality in income and capital, allowing
them to build up stocks of human capital more rapidly. Among the political explanations,
two explanations seem to figure prominently. The first one postulates that inequality
leads to voting behaviour which sanctions higher taxes and larger budget deficits with
consequent negative influence on growth rates forces the government and application of
redistributive policies which are growth destructive (Person and Tabellini 1994). The
second explanation is that inequality causes political instability and prevents
governments from effective management (a point also made by Stern in discussing the
relevance of growth policies, Stern 1991). However, Alesina and Perotti (1994) show rather
convincingly that the argument that inequality causes higher taxes which harm growth is
not finding much support in the data. They explain this mainly on the basis of a weak link
between inequality and taxation levels. The argument of policy uncertainty in explaining
the positive relation between inequality and growth has found some support and is most
recently confirmed by the unwillingness of private investors to continue to finance
capital flows to countries with looming conflicts on land redistribution and poverty
programmes.
The experiences of the 1980s and some findings of the new growth
theory allow therefore to reconsider the growth and equity debate. On the one hand higher
taxes and some deficit financing can affect decisions on savings negatively and through
neoclassical reasoning distort growth, while on the other hand a higher level of
government expenditure (as a result of higher taxes or deficit financing) can increase
investment in human resources, support the development of markets and improve
infrastructure which, following the new growth theories, contribute to higher levels of
growth. The new growth theory thus offers, especially through the link between tertiary
income distribution and the generation of future primary incomes, a more dynamic element
than traditionally was the case of the relationship between income equality and economic
growth.
As argued earlier macroeconomic policies can have a potentially
positive redistributive slant, especially when emphasis is simultaneously placed on tax
policies and on expenditure policies (Pyatt, 1993), with monetary policies playing only a
lesser role of bringing stability into the economy. Macroeconomic policies can especially
be more poverty-focussed if "sound" macroeconomic policies are carried out in
tandem with a set of incomes policies including minimum wage policies and mesopolicies
which underline the redistributive aspect of the macroeconomic policies. Incomes policy,
when based upon consultation with employers and workers, can contribute to a better social
climate and can therefore reduce inflationary pressure. Countries which reduced income
inequality and had a reasonable growth record relied amongst others on a set of incomes
policies which included an active minimum wage policy. Mesopolicies deal with the
distribution of the fiscal burden of targeted public expenditure, of microeconomic
policies (functioning of the labour market integration in the product market) and
distribution of ownership assets. However, despite the potentially redistributive role of
fiscal policies, fiscal policies are often not explored for that. Tax policies are often
less redistributive than originally designed and budget deficits are often dealt with
through reducing expenditure rather than to increase taxes. The distributive aspect of
government expenditure is often less than it is claimed, since many public service
programmes benefit the rich more than the poor and application of priority ratios to
favour expenditure items affecting the poor is often not well developed. Yet some
countries combined high priority ratios with high growth rates (UNDP, 1991).
However a pro-poor design of macroeconomic policies depends not on
the macroeconomic policies themselves but on the social situation in the country and
especially on the fact whether a society is willing to give priority to distributional
issues in times of economic crisis (Khan 1992). Politically it is often more difficult to
develop a distributional strategy in times of economic difficulty than in times of
economic growth. The paradox is therefore that macroeconomic policies can have elements
favouring the poor, especially in those countries which had already a more egalitarian
society, but that applying more poverty-oriented macro policies in a less egalitarian
society is probably doomed to fail. Changes in distribution of assets and human capital
should become a necessary complement of macroeconomic policies to reduce inequality and
stimulate growth. This issue is discussed in Stiglitz (1998) and will not be further
pursued here. This conclusion thus weakens the case often made that policies of income
distribution are less relevant than stimulating overall growth in a poverty alleviation
strategy as a steady state growth will lift gradually all people above the poverty
threshold. In the next section we will argue that through redistributive measures
important gains can be made in poverty reduction.
3.2 Tradeoff between growth and equity: a politician's surfguide
One elegant way to consider the relation between equity and growth
in relation to poverty levels is to construct a poverty measure which takes into account
simultaneously growth and distribution. Ravallion (1997) has investigated this by running
combined time series country data analysis and estimating for certain groups of countries
a poverty reduction elasticity of growth, confirming that countries with lower inequality
have a higher poverty reduction elasticity of growth. Also McKay (1997) has argued that a
dynamic poverty count, which expresses a poverty index over time, should be split up
between a growth component and a equity component, but is not able to present an
integrated measure.
In this section we show that by using a perhaps somewhat restrictive
assumption regarding the shape of the distribution function of inequality a composite
index can be developed which can deal with tradeoffs and complementarity between
distribution and growth.
The restrictive assumption is that the distribution of inequality
follows a pattern of a log normal distribution. Various authors have argued (e.g.
Aitchison and Brown 1973) that this assumption can be made for inequality in developed
countries. The proposition has not been tested for developing countries but, pending
further research we assume this to be the case.
If we assume that incomes are lognormally distributed, we can
calculate the head count index of poverty, expressed as a fraction of the population below
the poverty line, as follows:
(1) P ( X < 1/s log f + ½ s ) X is N (0, 1)
This is the probability of a standard normally distributed variate X
where f is the poverty line expressed as a fraction of per capita income and is the
variance of the lognormal distribution and a measure of inequality. (There is a one to one
relation between the and the Gini ratio, one of the most frequently used measures of
inequality.)
The proof of relation (1) can be found in Annex I.
Table 6 indicates for various values of the poverty line (f) and
various values of inequality ( and G) the percentage of the population below the poverty
line. (1)
What is striking is that inequality does matter. For
example in case of countries with high inequality (a Gini ratio of 0.6 like Brazil, see
Table 8) a poverty line of 15 per cent of per capita income will result in 23 per cent of
the population in poverty, but if that country would reduce its inequality to that of a
low inequality country (a Gini ratio of 0.28), its percentage of population in poverty
would be less than 1 per cent.
Another example on the tremendous effects of inequality reduction on
poverty from Table 6 is that with a poverty line equal to 50 per cent of per capita
income, a high inequality country (with a Gini ration of above 0.6) has 50 per cent of its
population in poverty while a country with a low inequality (a Gini ratio of 0.3) has only
25 per cent of its population in poverty, a difference in magnitude of 100 per cent.
It is obvious that in formula (1), f (the poverty line as a fraction
of average per capita income) will decrease as the average per capita income (y)
increases.
Thus we have
(2) f = a / y
with a = the absolute poverty line expressed in money terms
and y = average per capita income in money terms
(3) y = yo e gt
y is growing per year with a growth rate g and yo is the per capita income in
the base year
by substituting (2) and (3) in (1) it can be easily deducted that
the fraction of the population below the poverty line is
(4) P ( X < 1/s ( log a/yo
- g t) + ½ s )
Table 6: Percentage of population below the
poverty line as a function of inequality (G, ) and the poverty line (f) (expressed as a
fraction of per capita income)
| G |
0.28 |
0.30 |
0.33 |
0.35 |
0.38 |
0.40 |
0.43 |
0.45 |
0.48 |
0.50 |
0.52 |
0.54 |
0.56 |
0.58 |
0.60 |
0.62 |
0.64 |
0.66 |
0.68 |
| f / s |
0.5 |
0.55 |
0.60 |
0.65 |
0.70 |
0.75 |
0.80 |
0.85 |
0.90 |
0.95 |
1.00 |
1.05 |
1.10 |
1.15 |
1.20 |
1.25 |
1.30 |
1.35 |
1.40 |
| 0.05 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.1 |
0.2 |
0.4 |
0.6 |
1.0 |
1.5 |
2.1 |
2.9 |
3.8 |
4.9 |
6.1 |
7.5 |
| 0.10 |
0.0 |
0.0 |
0.0 |
0.1 |
0.2 |
0.4 |
0.7 |
1.1 |
1.7 |
2.6 |
3.6 |
4.8 |
6.1 |
7.7 |
9.4 |
11.2 |
13.1 |
15.1 |
17.2 |
| 0.15 |
0.0 |
0.1 |
0.2 |
0.5 |
0.9 |
1.6 |
2.4 |
3.5 |
4.9 |
6.4 |
8.1 |
10.0 |
12.0 |
14.1 |
16.3 |
18.6 |
20.9 |
23.3 |
25.6 |
| 0.20 |
0.1 |
0.4 |
0.9 |
1.6 |
2.6 |
3.8 |
5.4 |
7.1 |
9.0 |
11.1 |
13.4 |
15.7 |
18.1 |
20.5 |
22.9 |
25.4 |
27.8 |
30.3 |
32.6 |
| 0.25 |
0.6 |
1.2 |
2.2 |
3.5 |
5.2 |
7.0 |
9.1 |
11.4 |
13.8 |
16.2 |
18.8 |
21.3 |
23.9 |
26.4 |
28.9 |
31.4 |
33.9 |
36.2 |
38.6 |
| 0.30 |
1.5 |
2.8 |
4.4 |
6.3 |
8.5 |
10.9 |
13.5 |
16.1 |
18.7 |
21.4 |
24.1 |
26.7 |
29.3 |
31.8 |
34.3 |
36.8 |
39.1 |
41.4 |
43.6 |
| 0.35 |
3.2 |
5.1 |
7.4 |
9.9 |
12.5 |
15.3 |
18.1 |
20.9 |
23.7 |
26.4 |
29.1 |
31.7 |
34.3 |
36.8 |
39.2 |
41.5 |
43.7 |
45.9 |
48.0 |
| 0.40 |
5.7 |
8.2 |
11.0 |
13.9 |
16.9 |
19.9 |
22.8 |
25.7 |
28.5 |
31.2 |
33.9 |
36.4 |
38.9 |
41.2 |
43.5 |
45.7 |
47.8 |
49.9 |
51.8 |
| 0.45 |
8.9 |
12.0 |
15.1 |
18.3 |
21.5 |
24.5 |
27.5 |
30.3 |
33.1 |
35.7 |
38.3 |
40.7 |
43.0 |
45.2 |
47.4 |
49.4 |
51.4 |
53.3 |
55.2 |
| 0.50 |
12.8 |
16.2 |
19.6 |
22.9 |
26.1 |
29.1 |
32.0 |
34.8 |
37.4 |
40.0 |
42.3 |
44.6 |
46.8 |
48.9 |
50.9 |
52.8 |
54.6 |
56.4 |
58.1 |
| 0.55 |
17.2 |
20.8 |
24.3 |
27.6 |
30.7 |
33.6 |
36.4 |
39.0 |
41.5 |
43.9 |
46.1 |
48.2 |
50.3 |
52.2 |
54.1 |
55.8 |
57.5 |
59.2 |
60.8 |
| 0.60 |
22.0 |
25.7 |
29.1 |
32.2 |
35.2 |
38.0 |
40.6 |
43.0 |
45.3 |
47.5 |
49.6 |
51.5 |
53.4 |
55.2 |
56.9 |
58.6 |
60.1 |
61.7 |
63.1 |
| 0.65 |
27.0 |
30.6 |
33.8 |
36.8 |
39.5 |
42.1 |
44.5 |
46.7 |
48.9 |
50.9 |
52.8 |
54.6 |
56.3 |
57.9 |
59.5 |
61.0 |
62.5 |
63.9 |
65.3 |
| 0.70 |
32.2 |
35.9 |
38.4 |
41.1 |
43.7 |
46.0 |
48.2 |
50.2 |
52.1 |
54.0 |
55.7 |
57.4 |
58.9 |
60.4 |
61.9 |
63.3 |
64.6 |
65.9 |
67.2 |
| 0.75 |
37.2 |
40.2 |
42.9 |
45.3 |
47.6 |
49.7 |
51.6 |
53.4 |
55.2 |
56.8 |
58.4 |
59.9 |
61.4 |
62.7 |
64.1 |
65.4 |
66.6 |
67.8 |
69.0 |
Formula (4) thus represents a poverty measure which depends on the
absolute poverty line (a) and per capita income (yo) in the base year, the
degree of inequality () and the growth of per capita income (g) as well as the time period
(t) over which the growth is considered.
That inequality matters in the growth process is confirmed by a
glance at Table 7 where we have indicated for an initial poverty line of 0.75 per cent of
per capita income (a quite normal assumption, see Ravallion and Chen 1997), and a range of
different inequality figures, the percentage of population below the poverty line in the
initial year and after 5 years following various hypothetical per capita growth rates (g)
ranging from 0.25 per cent to 3.5 per cent.
With a per capita growth rate of 2.0, a quite acceptable figure in
the 1990s, a country with high inequality (Gini of 0.60) reduces its part of the
population living below poverty from 64 per cent to 60 per cent. However a country with
low inequality (a Gini ratio of 0.3) reduces the number of poor from 40 per cent to 33 per
cent of the population. Thus when inequality is low (and the income distribution curve
flatter) growth will reduce poverty faster than when inequality is high.
These are powerful instruments to emphasize in all policy measures
the reduction in inequality, even if this will reduce growth somewhat. For example, in the
case of an initial poverty line of 75 per cent of per capita income, reducing inequality
from a Gini ratio of 0.60 to 0.40 with a 1.0 per cent per capita growth rate over 5 years
reduces poverty more as compared to a per capita growth rate of 4 per cent and keeping
inequality unchanged (the percent of people in poverty in the first case is 47 per cent
and in the second case only to 57 per cent).
It is often argued that social and cultural factors prevent
improvements, in income inequality, except at very high costs. A glance at Table 8 learns
that changes in income distribution take place over time (some countries improving, others
deteriorating) nullifying the argument that income distribution is a more or less given
parameter.
The second objection to active policies reducing income inequalities
is that there are costs to reducing inequality, but as argued earlier there are strong
indications that income equality will contribute to faster growth and hence some of the
costs of achieving higher equality will be gained back over time, although more research
might be needed to substantiate this. It is nevertheless clear that increased attention to
inequality and policies to reduce inequality should be a primary objective of development
policy.
Table 7: Percentage of population below the
poverty line as a function of inequality (G, ) and a 5 year annual growth of per capita
income (g) from an initial poverty line of 75% of per capita income (f = 0.75) at year t
=o
| |
G
s
g |
0.28 |
0.30 |
0.33 |
0.35 |
0.38 |
0.40 |
0.43 |
0.45 |
0.48 |
0.50 |
0.52 |
0.54 |
0.56 |
0.58 |
0.60 |
0.62 |
0.64 |
0.66 |
0.68 |
| 0.5 |
0.55 |
0.60 |
0.65 |
0.70 |
0.75 |
0.80 |
0.85 |
0.90 |
0.95 |
1.00 |
1.05 |
1.10 |
1.15 |
1.20 |
1.25 |
1.30 |
1.35 |
1.40 |
| Year 0 |
|
37.2 |
40.2 |
42.9 |
45.3 |
47.6 |
49.7 |
51.6 |
53.4 |
55.2 |
56.8 |
58.4 |
59.9 |
61.4 |
62.7 |
64.1 |
65.4 |
66.6 |
67.8 |
69.0 |
| Year 5 |
0.25 |
36.2 |
39.3 |
42.1 |
44.6 |
46.9 |
49.0 |
51.0 |
52.9 |
54.6 |
56.3 |
57.9 |
59.4 |
60.9 |
62.3 |
63.7 |
65.0 |
66.2 |
67.5 |
68.6 |
| |
0.5 |
35.4 |
38.5 |
41.2 |
43.8 |
46.1 |
48.3 |
50.4 |
52.3 |
54.1 |
55.8 |
57.4 |
59.0 |
60.5 |
61.9 |
63.3 |
64.6 |
65.9 |
67.1 |
68.3 |
| 1.0 |
33.5 |
36.7 |
39.6 |
42.3 |
44.7 |
47.0 |
49.1 |
51.1 |
53.0 |
54.8 |
56.4 |
58.1 |
59.6 |
61.1 |
62.5 |
63.9 |
65.2 |
66.5 |
67.7 |
| 1.5 |
31.7 |
35.0 |
38.0 |
40.8 |
43.3 |
45.7 |
47.9 |
49.9 |
51.9 |
53.7 |
55.5 |
57.1 |
58.7 |
60.2 |
61.7 |
63.1 |
64.5 |
65.8 |
67.0 |
| 2.0 |
30.0 |
33.4 |
36.5 |
39.3 |
41.9 |
44.4 |
46.6 |
48.8 |
50.8 |
52.7 |
54.5 |
56.2 |
57.8 |
59.4 |
60.9 |
62.4 |
63.7 |
65.1 |
66.4 |
| 2.5 |
28.3 |
31.7 |
34.9 |
37.8 |
40.5 |
43.0 |
45.4 |
47.6 |
49.7< | |