seminar priyanta
TRANSCRIPT
Submitted by Priyanta Ghosh
Introduction:Global income inequality has for long been a subject of much interest
to economists. In U.S.A after 1970’s and in most of the developed
countries after 1980’s wage inequality ha increases. Several
economists started researching over income inequality. It was because
of the perception that income inequality among nations and within
nations has been growing rapidly over the last two decades. The
perception derives from the well known fact that gap in per capita
income between richest and poorest country increased substantially in
the recent year. The income gap between the fifth of the world people
living in the richest countries and fifth of the poorest was 74 to 1
in 1997 which has increases from 60 to 1 in 1990 and 30 to 1 in 1960(
UNDP 1999).
What is Income inequality?
We can think of three different notion of income inequality.
Inter-country income inequality:
Here each of the country is considered as an individual and the
relevant inequality is that of the distribution of the per capita GDP
among countries. So in a more explicit way we can say here inequality
means gap in the per capita GDP between developed and underdeveloped
countries. But the weakness of this measure is population of
countries is does not take into consideration under this measure. For
example China and Madagascar have same per capita GDP but since China
has a larger population than Madagascar from the point of view of
inequality China should be in a better position than Madagascar. But
this measure does not consider this fact.
International Income Inequality:
Under this notion we consider the distribution per capita GDP among
the world population. This measure provides necessary importance to
the population size of the country but assumes all individuals in a
given country receive the same income which equals the per capita GDP
of that country.
Intra Country Income Inequality:Previous measure assumes all individuals in a country earn same
income. So it ignores inequality within country. Intra country
inequality captures inequality in distribution of income among
individuals within a country. Therefore if income gap between less
skilled and more skilled workers increases then intra country
inequality increases and if the gap fall then intra country
inequality fall.
Trend in Income Inequality:
Here we discussed about the trend in different notion of inequality.
Trend in inter-country income inequality
A.K Ghose (2004) in his paper finds trend in inter country inequality
by taking data on initial per capita GDP(1981 ) and average annual
GDP growth rate of 96 economies over the period 1981-1997. He
excludes the countries which had a population of less than 0.5
million in 1981 as well as transitional economies. He found a
positive correlation between initial level of per capita GDP and GDP
growth rate and conclude a country having higher per capita GDP have
higher growth rate. Therefore inter-country inequality increased
during the period under consideration. In the following the figure 1
relationship between initial level of GDP and GDP growth rate has
been shown.
Figure 1
Trend in International Inequality
In the same paper A.K Ghose also looks at the trend in
international inequality over the sane period under consideration
i.e. 1981-1997. In order to capture international income inequality
he calculate population weighted Gini coefficient for each of the
period between 1981-1997.He also calculated unweighted Gini
coefficient for the same period. After fitting the trend equation he
found trend line for unweighted Gini coefficient increases steadily
at a rate of 0.4% per annum while the trend line for population
weighted Gini coefficient declined at a rate of 0.7% per annum. This
suggests during the given period inter-country inequality rises but
international inequality fall. Schultz(1998) did a similar kind of
study considering a group of 120 countries during the period 1960 to
1989. He found international inequality increased between 1960-1973
and slowly declined thereafter. Figure 2 shows the trend line for the
population weighted Gini coefficient
Figure 2
Trend in intra country inequality
In U.S.A wage inequality increased after 1970 onwards. Between
1979 to 1995 real wage of those with 12 year of education fell by
13.4% and real wages of those with less than 12 years of education
fell by 20.2%, while real wages of workers with 16 or more year of
education rose by 3.4%. So clearly wage gap between skilled labor and
unskilled labor increased dramatically in U.S.A. Feenstra and
Hanson(2001) showed by figure 3 that relative wages of nonproduction
to production workers in U.S manufacturing sector has increased
steadily after 1980’s where non production and production workers
considered as proxy of skilled and unskilled labor respectively.
After 1980’s wage inequality has also increases in Australia, Canada,
Japan and United Kingdom.(Freeman and Katz 1994)
Figure 3
In a paper Wei Lu and Ben Xu(2003) said according to Chinese
official statistics the Gini coefficient of China rose from a low
level of 0.33 in 1980 to 0.40 in 1994 and to 0.46 in 2000. China’s
wage inequality increases by an average rate of 11% per year from
1997 to 2000. Fig 4 shows the changes in china’s wage inequality as
represented by Wei Lu and Ben Xu.
Figure 4
Hanson and Harrison(1999) in paper discussed about the wage
inequality in Mexico. Considering data on large number of
manufacturing plants from SECOFI sample data he found relative wages
of white collar to Blue Collar workers increased from 1.930 in 1984
to 2.545 in1990. He has also shown from industry census data of
Mexico that from 1985 onwards ratio of white collar to blue collar
average wages increased steadily (fig 5)
Figure 5
A study on India’s wage inequality has been carried out by
Kunal Sen(2007). From that study we see that in India’s
manufacturing sector after a period of falling wage inequality in the
early 1970’s and then a period of sharply rising wage inequality in
the late 1970’s, there has been a period of slow but steady increase
in wage inequality since the mid 1980’s.
Reasons for such kind of trends
Most popular and well known theory that talks about inter-country
inequality is convergence hypothesis. This states that less developed
countries and regions should be expected to grow faster than more
developed countries, so that we should expect inter-country
inequality to decline over time. Three main arguments in support of
this hypothesis are Firstly, Since less developed countries are
late comers in the world of modern economic growth they can simply
adopt the technology invented by the developed country and therefore
can avoid the cost of inventing and time lags associated with the
development of new technologies. Secondly, One standard assumption
in the growth theory is diminishing return to factor inputs. Since
less developed countries are capital scarce country compared to
developed countries productivity of capital is higher in less
developed countries than developed countries. Thus for equivalent
rate of investment, the less developed countries should be able to
achieve higher growth. Thirdly, Workers in the less developed
economies initially confined in low productivity agricultural
activities, as growth occurs workers move to high productivity
manufacturing and service activities. So there has been a structural
change in employment level in less developed economies which raises
the growth of labor productivity.
But we have seen that inter- country inequality actually
increases over time. So there must be some short comings in the
arguments of convergence hypothesis. In the theoretical levels there
are some problems with the above arguments Firstly, There is no
reasons to believe that developed economies will stick to their
previously invented technology, rather they will invent more
advanced technologies and will always try to keep a gap in technology
with less developed countries. There is no reason to why the pioneer
cannot derive advantages from their accumulated experience of
developing leading-edge technologies. Secondly, Diminishing return
to the factor is not always the case, because of the scope for
learning by doing there may actually be constant or even increasing
returns to factor inputs. Thirdly, Since the developing country
try to catching up developed economies they have a tendency of
premature adoption of technologies in the sense that they may adopt a
technology which less skilled laborer of less developed countries are
unable to use, so the process of labor transfer (from low
productivity to high productivities) tends in reality to be extremely
slow.
But surprisingly we have seen that though inter-country
inequality has increases over time, international inequality falls.
Now this is possible if and only if first, there exist a group of
under developed countries which experiences higher growth rate per
capita GDP than the developed economies and, second, this group
accounts for the majority of the population living in less developed
countries. In the study A.K Ghose(2004) find in 17 developing
countries per capita GDP increases among them 10 are populous less
developed countries of the world. For example per capita GDP
increases in China and India which constitute a major portion of
world population.
Now comes the most important part that explains the
reasons for rise in intra- country wage inequality or in other words
reasons for rise in skilled unskilled wage gap which directly links
wage inequality with liberalization of trade. There are mainly two
theories that explain intra-country wage inequality.
-----Trade theoretic argument
----- Skilled biased technological change
Trade- Wage linkages
The link that standard trade theory identifies between trade and
wages is embodied in the Stolper Samuelson Theorem (1941). Consider
two regions , Developed country and Developing countries, two factor
of production( low skilled and High Skilled workers). High skilled
workers are abundant in developed country; low skilled workers are
abundant in developed country. There are two goods, high skill
intensive and low skilled intensive. Heckscher- Ohlin-Samuelson
theory predicts that with opening up of trade between developed and
developing country , developed country will export high skilled
intensive good and developing country will export low skilled
intensive good . Consequently relative price of high intensive
product will increase in developing country. Now following Stolper
Samuelson theorem a rise in the relative price of good will rise the
relative and real reward of the factor which has been used
intensively in the production of that good. So trade liberalization
causes the price of skilled intensive goods to rise relative to non-
skilled intensive goods in developed country and vice versa for
developing countries. For developed countries price changes reduces
the demand for labor in the unskilled industries and increase the
demand for labor in skilled intensive industries. Therefore in
developed country employment shift toward skilled intensive sector by
raising the demand for skilled labor. Rise in the demand for skilled
labor raises the wages of skilled labor relative to those of
unskilled labor. Following the same logic in developing country
relative wage of less skilled workers will increase. Hence if we
follow the Stolper Samuelson argument of linkage between trade and
wage inequality wage inequality will rise in developed country while
it will fall in less developed country.
But we have already seen that though wage inequality has
fall in East-Asian countries it has actually increases in lain
American country. So data does not support that wage inequality fall
in less developed countries. So there are two possibilities (i) trade
is responsible for rise in wage inequality but not through the
channel proposed by Stolper Samuelson theorem but through some other
channel and there are some shortcomings of Stolper Samuelson theorem
argument.(ii) trade plays a minor role in explaining rise in wage
inequality. Problems with Stolper Samuelson arguments are following.
a) The Stolper Samuelson argument for explaining wage inequalti is
based on the assumption of one to one relationship between
output price and factor rewards. This one to one relationship
between output price and relative wages does not hold for the
more complex model(e.g more goods than factors)
b) Trade can reduce the relative wages of unskilled labor even
without reducing the relative price of low skilled intensive
goods.
Example: Suppose U.S low skilled intensive firms opens up
branches in developing country, produce low skill intensive
product at a lower price using cheap laborer of developing
countries and then re export it in U.S. This shift in the
production of low skilled intensive product increases
unemployment among low skilled labor in developed country and
this will reduce the wage rate low skilled labor in developed
country. But since total production of unskilled intensive goods
does not fall, it just a shift in the place of production
relative price of unskilled intensive goods remains unchanged.
c) Stolper Samuelson theorem has been criticized on the ground
of its extreme assumptions such as (i) perfect competition
in all markets. In reality there are very few perfectly
competitive markets (ii) Perfect mobility of factors across
sectors. Then trade liberalization will affect economy-wide
wage inequality and not sector specific wag inequality
since under perfect factor mobility across countries factor
returns are equalized across sectors. But wage inequality
changes even within sectors (iii) there are technological
differences between countries. (iv) Trading country
produces homogeneous products.(v) constant returns to scale
in all sectors.
Brati shankar chakrobarty and Abhirup Sarkar in a paper shown
if there are constant return to scale in one sector and
increasing return to scale in another sector trade can actually
increase wage inequality in both developed and developing
country which goes against the prediction of Stolper Samuelson
theorem.
Trade plays minor role in explaining wage inequality
According to some economist trade plays minor role in explaining
rise in wage inequality in U.S.A. Their arguments are like
following
(I) The magnitude of U.S trade inflow and outflow with
developing country is too small to leads to the observed
wage changes. Trade to GDP ratio increases with trade
liberalization but it was not as high to conclude larger
trade contributes in rising inequality. In the U.S value of
trade was 6.1% of GDP in 1913 that rises to 8.8 % of GDP.
Moreover trade to GDP ratio started rising from 1980,s
onwards while wage inequality started increasing from
1970’s in most of the industrialised countries , therefore
trade expansion cannot explain rise in wage inequality from
the periods 1970;s o 1980’s in those countries( Krugman
1995)
(II) Movements of price across contries seem to
contradict the movements of relative wages. When relative
wage of unskilled labor fall relative price of less skilled
intensive goods should fall, but data shows it remains
stable or increases. (Lawrence and slaughter 1993).
relative price of apparel goods fell in the 1970’s, they
were stable in 1970’s(Leamer 1980’s)
(III) If shift in the employment and wags is due to the
international trade then larger shift should takes place
between industries since trade leads to expansion or
contractor of industries in response to foreign
competition. On the othr hand if changes are due to the
technological progress then larger shift should take place
within industries since all the industries shifts toward
higher technology that require skilled labor. Berman, Bound
and Grilichas(1994) shows that more shifts has taken place
within industries.
Other channels that explain trade-wage linkages
Outsourcing :
Outsourcing means imports of intermediate inputs from
abroad. Suppose developed country produces a good (Ym) which
requiraes two intermediate inputs one is skilled intensive (Y2)
and another is unskilled labor intensive (Y1). Now since
unskilled laborers are cheaper in developing country developed
country can actually import less skilled intensive intermediate
input from developing country. This will reduce the domestic
demand for unskilled labor in that industries which will reduce
the wage rate unskilled labor not only in those industries but
in all industries. Therefore outsourcing can leads to rise in
inequality.(Feenstra and Hanson 2001)
Feenstra and Hanson argues that once we take into
consideration outsourcing (the termed as Global production
sharing) then above arguments against trade can be reviewed.
Against the Krugman argument he said trade to GDP ratio was
lower because growth of service sector was included in GDP while
there was no trade in service sector. To make a better
comparison of trade with overall production we should the
merchandise trade to merchandise value added. When this done we
found merchandise trade has indeed indeed grown substantially
relative to the production of this commodities in many advanced
countries. Against the Lawrence and Slaughter argument he said
if we consider trade in intermediate goods then importing
intermediate goods from developing country should reduce the
import price relative to the domestic price. Lawrence and
Slaughter data support this. Larger rise in the skill unskilled
wage gap within industry can easily be explained by outsourcing.
Mobility of factor in explaining wage inequality
Suppose there are two sectors, skilled intensive and unskilled
intensive sectors, and three factors of production skilled
labor, unskilled labor and capital. Capital is being used in
both the sectors but it is used more in skilled intensive
sectors. Under such a framework if there is a inflow of capital
in developing country marginal productivity of both the skilled
and unskilled labor will increase. But since skill intensive
sector uses more capital marginal productivity of skilled labor
will increase more than marginal productivity of unskilled
labor. Therefore both the wage rate increases but skilled wage
increases more than unskilled wages and results in rising wage
inequality.
Empirical evidences
Empirical evidences of how trade impact on inter-country inequality and international wage
inequality:
Professor A.K Ghose (2005) tried to find out the effect of
trade liberalization on inter country and international inequality.
In doing so he estimated the relationship between trade performances
and annual GDP growth rate. He simply run a cross country regression
of average annual rate of GDP growth on average annual rate of change
in trade -GDP ratio (measure of trade performances) and found a
statistically significant positive relationship. He did the similar
exercise on several different sub-samples and the relationship is
found to be robust. He found impact of trade liberalization on tread
to GDP ratio has been rather similar for poor and rich countries.
Therefore impact of trade liberalization on GDP growth rate was also
similar for poor and rich countries. So rise in the inter-country
wage inequality cannot be explained by trade liberalization. He
argued though average growth performances showed no systematic
variation across countries since population growth is higher in poor
countries, per capita GDP is lower in poor countries. His regression
result shows
RGDP=3.198-0.737PCGDP adjusted R-square= -0.002
RGDP-annual rate of growth of GDP PCGDP-per capita GDP
He showed trade-GDP ratio increases more in more
populous country. He run a regression of change in trade to GDP ratio
(RTG) on population (POP) and found following result.
RTG= 0.949(4.062)+ 4.232(2.463)POP adjusted R-square-
0.054
This suggests that trade liberalization has more favorable effect on
the growth performances of populous countries than on that of small
countries since populous countries are low income countries trade
liberalization contributed to the decline in international
inequality.
Empirical evidences of impact of trade on intra-country wage inequality
Explaining developed country wage inequality:
Feenstra and Hanson(1996) in a paper tried to explain rise
in skill-unskilled wage gap in U.S through outsourcing. In that paper
he takes the import data and expenditure data for 435 industries in
USA for the years 1972-1988. He run a regression of Relative demand
for skilled labor on outsourcing where relative demand for skilled
labor has been measured by non production worker share of industry
wage bill and Outsourcing has been measured as a share of imported
intermediate inputs in the total purchase of non energy materials.
They have shown in the paper for the period 1972-1979 outsourcing
is insignificant but for the period 1979-1990 it found to
significant in impacting relative demand for skilled labor.
Coefficient of outsourcing entails outsourcing account for 30.9%
increase in the relative demand for skilled labor. According to them
contrast between the result for 1970’s and 1980’s is possibly
because of the fact that here outsourcing includes not only import of
intermediate inputs form less developed country but also from
advanced countries. They said once we exclude the imports from
advanced nations and do the similar exercise this problem of
discrepancy in result may not arise.
Feenstra and Hanson again in 2001 wrote a survey paper
where he has shown both outsourcing and technological up gradation
can explain rise in U.S wage inequality. In this paper they estimates
the following regression equation
∆s Hm = φ0 + φ K ∆ ln K m + φ Y ∆ ln Ym + φz ' ∆z m, m=1,…,M, Where ∆s Hm is changes in the wage share of skilled labor ∆ ln Km is changes in capital shipment ratio ∆ ln Ym is changes in shipments of industries(proxyof industry output) ∆z m vector of structural variables where the variables
are imported intermediate goods as a share of total material
purchases and share of capital and other high tech capital in total
capita stock.
He has taken the data for 447 manufacturing industries
within the U.S manufacturing sector between1979-1990. Three
regressions have been carried out considering three different
measures of the computers and the high technology share. In the
entire regressions outsourcing and computer share found to have a
positive impact on the wage share of skilled labor in total industry
wage bill. While later is being measured in terms of ex ante and ex post
rental prices respectively contribution of outsourcings founds to be
more than the contribution of computer share. When computers are
measured by their share of investment in total investment then
contribution of computer share founds to be larger. He showed
outsourcings account for 15-24% of the shift towards nonproduction
labor.
Explaining wage inequality in developing country:
Though large number of studies on International trade and wage
inequality has been carried over for developed countries there are
few studies for developing country as well. Most of the studies of
this kind are concentrated in Latin America. Hanson and Harrison
(1999) made a study on Mexican Manufacturing sector following the
trade reforms in the 1980,s. His study finds strong evidence of an
increase in wage gap between skilled and unskilled workers. He has
shown prior to the reforms, Mexico has extended trade protection
preferentially to the industries that makes relatively intensive use
on the unskilled workers, even though it had an abundance of
unskilled labor. Thus the trade liberalization has disproportionately
large impacts on the non skilled intensive sectors as the exposure to
China and other countries that have abundant unskilled labor
contributed to a decrease in relative wages of unskilled workers.
Therefore following Hanson Harrison trade reforms could be considered
to be the driving force behind the increasing wage inequality.
Beyar et al (1999) in a study on Chile finds after the trade
reforms in 1970’s and 1980’s wage inequality increases. He had shown
that trade liberalization leads to a change in the structure of
production in the country. But when he try to finds how this changes
are linked to the changes in the wage premium of skilled labor he did
not find any straight forward link.
A study on Mexico has been made by Feenstra and Hanson
(1997) where he try to find out effect of FDI on wage inequality. Ha
has obseved that a dramatic increase in FDI inflow in Mexico because
of the capital market deregulations of 1980’s. He takes region and
evaluate on the plants where FDI mostly flows in. They find increase
in the relative demand for skilled labor is positively correlated
with change in the number of such plants. Their analysis suggests
that greater wage inequality could also be linked to the increasing
flow of capital and not just to the flow of goods.
Robbins has made two studies one in 1995 and another in
1996 to explain wage inequality via trade in developing country. In
1995 study he took a group of East-Asian countries and finds greater
openness has led to the decreasing wage inequality between skilled
and unskilled workers in most of the East Asian countries in his
sample. While in 1996 he made a study over five Latin Americans
countries (Argentina, Chile, Colombia Costa Rica and Uruguay) and
finds the evidence of widening wage inequality associated with
greater openness. Adrian Woods (1997) said difference in the outcome
of East Asian countries and Latin American countries can be explained
by the different periods used in Robbins comparative studies. For
East Asian countries he takes 1960’s and 1970’s while for Latin
American countries 1980,s and 1990’s data. He argued in the latter
period large low income exporters such has china enters in the global
market and since such countries have a huge supply of unskilled labor
Latin American countries less skilled laborer can actually being hurt
by this.
Some of the studies on India have also been carried out.
Mishra and Kumar(2005) in a paper evaluates the impacts of the 1991
trade liberalization on the industry wage structure. He finds a
strong negative relationship between changes in the trade policy and
changes in the industry wage premium over time. Chamarbagwala (2006)
in a paper try to finds whether trade liberalization can explain the
widening skill gap and narrowing gender wage differential between
1983 and 2000 for the economy as a whole. He finds both trade
liberalization and other domestic sector reforms contributed in
increasing the within sector demand of skilled men and women. Kunal
Sen (2007) examine the effect of trade reform on wage inequality in
Indian manufacturing sector by taking industry level data for the
period 1973-1999. He finds significant negative relationship between
relative skill intensity(log ratio of skilled to unskilled labor) and
trade policy measures effective rate of protection(ERP) and Import
Penetration Ratio(IPR).therefore his results says trade
liberalization will increase the relative employment of skilled labor
and therefore relative wages of skilled labor. In the same paper he
had also made an interesting study of how trade induced skilled
biased technological changes impacted on rising Indians wage
inequality. Since theoretically technological changes can change
wages within industry he run a fixed effect regression of log of
ratio of skilled unskilled wages on ERP and IPR separately and he
finds as protection fall ratio of skilled wage to unskilled wages
rises. Hence his analysis also suggests that through trade reform
trade induced skilled biased technological change improves which in
turn increases within industry wage inequality.
Conclusion: Several studies have been made for developed countries to
explain wage inequality. Some of the economist argues competitions
with developing countries reduces the wage rate of unskilled labor
while some of the economist argued it is outsourcing that contributes
in raising wage inequality. Studies have been carried over for
developing countries also but it is limited in number. For India
lesser number of studies has been carried over. Therefore there is
still scope for explaining wage inequality in India.
ReferencesRobert C. Feenstra and Gordon H. Hanson (2001) “Global Production
Sharing and Rising Inequality: A Survey of Trade and Wages”
Gordon H. Hanson and Ann Harrison (1999) “Trade Liberalization and
Wage Inequality in Mexico”
Ajit K. Ghose (2004) “Global Inequality and International Trade”
Kunal Sen (2008) “Trade Policy and Wage Inequality”
Robert C Feenstra and Gordon H. Hanson (1996) “Globalization,
Outsourcing, and Wage Inequality”
Maosa Oda and Robert Stapp “Factor Mobility, Trade, and Wage
Inequality”
Jeffry D. Sach. and Howard J. Shatz (1996) “U.S Trade with Developing
Countries and Wage Inequality”
Brati S. Chakraborty and Abhirup Sarkar “Trade and Wage Inequality”
Beyar H, Rojas P. and Vergara, R. (1999) “Trade Liberalization and
Wage Inequality”
R Chamarbagwala (2006) “Economic Liberalization and Wage Inequality
in India”
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Relative Wages: Evidence from Mexico’s Maquiladoras”
P. Mishra and U. Kumar (2005) “Trade Liberalization and Wage
Inequality: Evidence from India”
D Robbins (1995) “Trade, Trade Liberalization and Inequality in Latin
America and East Asia: Synthesis of Seven Country Studies”
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