Relationship Between The Income Inequality And Development Economics Essay

Income inequality within the majority of developing countries has been rising – in some cases, sharply over the years. Various studies such as; (Cornia 2004, Birdsall 2005, Van der Hoeven 2008) concluded that the last two decades have witnessed a widespread and symmetric rise in within-country inequality in developing countries. This persistence rise in income inequality in many developing economies has made it difficult to reduce poverty and promote economic development. There is a growing consensus that excessive inequality can stunt growth itself (Birdsall 2005). The effects are not only economic; there are also political and social consequences of income inequality. Alesina and Peroti (1996) found that high income inequality can also have undesirable political and social consequences. “Where the institutions of government are weak, inequality exacerbates the problem of creating and maintaining accountable government, increasing the probability of economic and social policies that inhibit growth, and poverty reduction and where social institutions are fragile, inequality further discourages the civic and social life that undergirds collective decision-making which is necessary to the functioning of healthy societies” (Birdsall 2005). Put differently, high inequality is associated with higher crime rates, lower life expectancy and conflicts. Also According to Alexis de Tocqueville ([1835-40] 1961, 302), “Almost all of the revolutions which have changed the aspect of nations have been made to consolidate or to destroy social inequality.”

Making generalizations about the causes of income inequality in developing countries must be done with care. The situation in each nation depends on country-specific circumstances and policy mixes. Yet, it is clear that there are some common factors behind the widespread surges in income inequality around the world. It has been noted that a worsening situation in the ‘traditional’ causes of inequality such as land concentration, urban bias and inequality in education has not caused the recent increases in inequality in developing countries, although these factors still do explain most of the variation in cross-country inequality (Cornia 1994). Rather, the evidence points to ‘new’ causes associated with neo-liberal policy reforms that have increasingly been adopted in transitional and developing countries (Cornia and Court 2001, Birdsall 2005, Van der Hoeven 2008, UNRISD 2010). The most important of such policy reforms are macro-economic reforms including, inter alia, financial and labour market liberalization, privatization, and reforms in the tax and transfer systems. Despite the numerous studies on income inequality, the extent to which it affects development hasn’t yet been fully explored.

Uganda among other developing countries has been experiencing a gradual and sustained economic growth and poverty reduction over the years. Currently the country is growing at a rate of 6.4% (CIA 2011). The benefits of growth, however, are not being distributed equally. In all regions of the country, income and consumption are growing at a slower rate in rural areas than in their urban counterparts (Ssewanyana N. S. et al, 2009). Moreover, both rural and urban areas are experiencing growing inequality between the top and bottom income quintiles (Appleton & Ssewanyana, 2003). According to Valentine (1993), inequality increases as the incomes of the asset-rich rise at a faster rate than those of the asset-poor. Some policies such as privatisation and financial liberalization may contribute to concentrate the ownership of resources among the few hence affecting the distribution of present and future income which then might affect the development of a country.

This study therefore will seek to analyse the causes of income inequality and establish its effects on development. Trends in income inequality in Uganda will also be analysed to establish clearly how its increase or decrease has affected the level of the country’s development. This study will also explore the consequences of income inequality to Uganda.

Empirical studies, such as Appleton (2001), and Appleton & Ssewanyana (2003), provide limited policy guidance on how to address the inequality problem in Uganda. The thesis will also look at policy options to curb the rising income inequality levels in Uganda hence fostering development.

Statement of the Problem

In order for Uganda whose economy is experiencing economic growth, to continue on a straight and consistent development path, one of the issues that have to be taken into great consideration is the growing disparity in income distribution. Currently the country is experiencing a high level of income inequality with most of the income being concentrated in the hands of the few. If this state of income inequality continues, the development of the country will be greatly affected. Also this disparity in income could lead to social injustices which would have greater consequences on the economy.

Research Questions

What are the major causes of income inequality in Uganda?

Is there a relationship between income inequality and development?

What consequences does income inequality pose to Uganda?

Scope

The study will look at how income has been distributed in Uganda over the years and the country’s level of development in the same years. It will also look at levels of poverty and GDP as a measure of development. Human development will also be taken into consideration while comparing income distribution and improvements in human development of the country.

Methodology

The study will be based purely on secondary data. It will review journals and books on theories regarding income inequality and development. Statistics from international organisations’ and Government of Uganda’s’ websites will also be reviewed as part of the study. A comparative analysis of income distribution and Uganda’s economic development will be done to assess the relationship between the two variables.

Causes of Income Inequality

This section looks at the causes of income inequality in Uganda. As highlighted in the introduction section, the rate of income inequality in Uganda has been fluctuating over the years although in an increasing manner. According to the World Bank Gini Index (2011), Uganda’s Gini Coefficient was at 44 as of 2009 and rose slightly to 44.3 as of 2011 indicating a rise in income inequality. There is a huge disparity in income distribution in Uganda with a few individuals holding much of the country’s income. The table below shows that as of 2009, 20% of Uganda’s population received half of the country’s income indicating a huge disparity in income distribution. Therefore what could be the explanation of the rising income inequality? In response to this question, I discuss the possible causes of income inequality and how they relate to Uganda’s case.

Table 1: Uganda’s income distribution for the years 2006 and 2009

Indicator

2009

2006

Income share held by fourth 20%

20

20.7

Income share held by highest 10%

36.1

34.1

Income share held by highest 20%

50.7

49.3

Income share held by lowest 10%

2.35

2.59

Income share held by lowest 20%

5.84

6.08

Income share held by second 20%

9.64

9.78

Income share held by third 20%

13.8

14.1

Source: World Bank Database

Over the years, economists and social scientists have been discussing factors that are responsible for the rising incoming inequality both in developing and developed countries. Some of the identified causes are specific to developing countries and have been discussed from various dimensions. These dimensions range from social, economic to the political causes of income inequality.

One of the factors which is familiar with developing and less developed countries and has been associated with rising income inequality is the issue of foreign aid. Developing and less developed countries have been receiving aid since attaining independence yet the question of aid effectiveness is still highly contestable with some studies suggesting that aid hasn’t done much to improve the living standards in such countries. Several studies have been conducted to ascertain the association between foreign aid and income inequality. Some studies such as (Herzer and Nunnenkamp, 2012; Alesina and Dollar, 2000) showed that foreign aid contributes to income inequality. However the extent of foreign aid’s effect on income inequality hasn’t been conclusive yet. Donor countries and organisation have been donating large sums of money to developing countries as aid, one of such countries is Uganda, whose ODA (Official Development Assistance) had reached 1.8 billion in 2010 according to Global Humanitarian Assistance. Despite this figure having risen over the years, some funds which are aimed at improving the well being of the poor actually end up in the hands of a few individuals hence exacerbating the widening income gap in the country.

Foreign aid may lead to income inequality through various mechanisms all of which point in the direction of aid money flowing to a particular group of people in a society. Layton and Nielson (2009) in their study titled Aiding Inequality: The Effect of Foreign Aid on Income Inequality, which included Uganda showed that foreign aid has contributed to increases in income inequality in the developing world. In their analysis (although inconclusive), they found that the effect of foreign aid on income inequality is somewhere between zero and weakly positive. They also found that an increase in aid of 10% would increase inequality by 2.5 points which according to them, is substantially significant given the slow moving nature of income inequality. Their study also showed that foreign aid has an impact on income distribution with it favouring mostly rich individuals. Layton and Nielson identified politics as one of the channels through which foreign aid benefits the rich. This finding is supported by Boone (1996) who stated that “all political systems favour a “high-income political elite” when it comes to income distribution”. In most cases this distribution of income is in favour of private and selfish interests of their supporters who are more likely to be society’s wealthy and prominent individuals. The assumption here is that these individuals will enable them win subsequent elections in office and also contribute to their campaigns. This creates a widening gap in income inequality with the majority of the population who are poor and supposed to benefit from the aid money usually remaining poor while a few individuals’ income increasing. With the increase in income, the rich are able to invest and amass more wealth which can lead to a decade of income inequality unless the government embarks on re-distributive policies.

Ethnic diversity has also been seen as having a linkage with income inequality. According to Meisenberg (2007), ethnic diversity at certain levels leads to large discrepancies in income distribution. In countries whose ethnicity is diverse such as Uganda, political leaders from a particular ethnic group might favour individuals from such groups both in terms of resource allocations and distribution of opportunities. Such is common in African countries especially those that are undemocratic where political leaders tend to divert funds meant for public services to such individuals. Diversion of funds causes a discrepancy in income distribution since one group is preferred over others hence exposing that group to opportunities such as better jobs and government contracts which allows them to have a higher level of income. Also an interplay between ethnic diversity, politics and institutions contribute to a rise in income inequality

Similarly, Milanovic (2003) whose focus was on the political-economy side of the story found that ethnic diversity contributes to income inequality. He found that inequality in African countries is high especially in those countries whose ethnic diversity is high. He added that inequality in such countries is even higher if such countries are undemocratic (This is consistent with Mickiewicz and Gerry (2008) who also discovered that countries introducing sustainable democratic institutions early are characterised by lower inequality), and poor. Millanovic also considers the interplay of ethnic fragmentation, low per capita income and lack of democratic pluralism to be an important determinant of income inequality in Africa.

Given the status of developing countries whose ethnicity is diverse and at the same time being recipients of foreign aid, diversion of aid to a particular ethnicity is likely to be much higher. This is likely to contribute to higher income discrepancies especially since the political leaders might divert most of this money to individuals from their ethnicity. Apart from distributing money to people from a particular ethnicity, they will also use the money to directly improve infrastructure in the areas where members of their ethnic group reside. This will ensure that individuals from such areas have better access to certain services, such as; education and health services including better paying jobs; which can guarantee an increase in their income. With only a section of the society being exposed to better services and facilities, the income gap is bound to widen.

Another factor which has been cited as a cause of income inequality is Corruption. This is a channel, through which public funds get diverted for private interests. With public funds being siphoned by certain individuals, a country is bound to have a few wealthy individuals while the majority of the population remain poor hence a wide income gap. According to an IMF working paper (May 1998) titled Does Corruption affect Income Inequality and Poverty?, high and rising corruption increases income inequality and poverty by reducing economic growth, the progressivity of the tax system, the level and effectiveness of social spending, and the formation of human capital, and by perpetuating an unequal distribution of asset ownership and unequal access to education. The World of Work report (2008) also suggested a positive relationship between inequality and corruption.

According to the First Annual Report on Corruption in Uganda (2010) by the Inspectorate General of Government, corruption remains a hindrance to development and a barrier to poverty reduction in Uganda. The World Bank estimates show that Uganda loses $300 million (Ugx 500 billion) annually to corruption. Likewise, the 2011 Transparency International Perception Index gives Uganda a decimal score of 2.4 on scale of 10, placing it as the 143rd out of the world’s 183 countries. Currently with the discovery of oil and the prospects of oil revenue in the relatively near future, Uganda is bound to face major challenges with regards to corruption. With evidence showing that corruption accelerates income inequality, then the income gap in Uganda is also bound to widen.

Education levels in a country also have an effect on how income is distributed; with those individuals whose level of education is low getting less income compared to their highly educated counterparts. In an economy characterised by globalisation and demand for skilled labour, the less educated tend to receive little pay compared to the highly educated; this exerts income in-equalizing effects. A study by Gregorio and Lee (2002) supports this argument. They found that the level of education of the population in a country has an effect on income distribution. Their study also found that equal distribution of education and higher attainment of education; both have equalizing effects on income distribution.

Education levels in Uganda are also unevenly distributed. According to Mugendawala (2012), the Ugandan education system still manifests inequities based on sex, location and income quintile. He further mentioned that the inequities also explain the income gaps in Uganda. The difference in education attainment is also an explanation for the variation in income distribution and inequality levels between urban and rural areas in the country. Mugendawala found that education disparities between rural and urban areas also caused income disparities between the two. Also in terms of socio-economic classes, he found that there is more inequality amongst the poor while more equality prevails among the rich. This could be due to the ability of the rich to afford better education services for their children unlike the poor who are in rural areas with access to free government education whose quality is questionable. With this disparity in access to education, a vicious cycle might be created where the poor remain less educated hence receiving little income while the rich attaining higher education and eventually accessing well paying jobs. This disparity will most likely maintain or accelerate the disparity in incomes over time.

Other studies which share the above argument include; Odedokun and Round (2001) who found that a high level of illiteracy (and, hence, low level of skilled workers) exerts in-equalizing effects. Also Ssewanyana et al. (2004) showed that education is as a key factor in explaining most of the observed variations in income in Uganda. In this case, education was seen as a means through which policies that seek to make education accessible could lead to a reduction in income inequality over time. Mickiewicz and Gerry (2008) found that education fosters equality. Other scholars who found that education has income equalizing effects over time included (Morely, 1995; Alderson and Nielsen, 1995; Lee, 2005). According to these studies, the equalizing effect occurs because education allows the poor to escape poverty and enter into jobs that pay better wages.

A number of economic factors have also been found to contribute to income disparities; one of such factors is globalisation. Globalisation through a number of variables has also been identified as a determinant of income inequality. Some studies which particularly looked at the effects of trade liberalisation on inequality showed that it might have an income gap widening effect. Meschi and Vivarelli (2009) found total aggregate trade flows to be weakly related to income inequality. However, once total trade flows were disaggregated according to their areas of origin/destination, they found that trade with high income countries worsens income distribution in developing countries, both through imports and exports. Still with regards to trade, Angeles-Castro (2008), found that manufactured exports reduce inequality, whereas the expansion of primary exports does not have any positive effects on income distribution in any way. As of 2011, Uganda manufactured export was 22.9% as a percentage of total merchandise exports while export of primary products such as raw material and food accounted for 74%. With developing countries such as Uganda, whose major exports are primary products, the above argument, is bound to hold.

Similarly, Breen and García-Peñalosa (2005), showed that greater volatility (which they measured by the standard deviation of the rate of growth of output), is associated with a higher degree of income inequality. Breen and García-Peñalosa (2005) also examined the effect of volatility on income shares of various quintiles and found that greater volatility results in redistribution from middle income groups (second and third quintiles) to the top-income group (fifth quintile). They also mentioned that an interplay of factors that previous research has shown as determinants of income inequality such as the degree of dualism and the extent of civil liberties together with volatility prove to have a robust impact on the distribution of income.

Anyanwu (2011) in his study of International Remittances and Income Inequality in Africa found that, international migrant remittances have a significant positive impact on income inequality. After instrumenting for the possible endogeneity of remittances, he found that “a 10 percent increase in remittances as a percentage of GDP will lead, on average, to a 0.013 percent increase in income inequality”. Remittances are also contributing greatly to Uganda’s economy. According to a Bank of Uganda Report titled International Remittances 2008, remittances increased from US$406 million in the year 2006 to US$732 million in 2008. Income inequality in Uganda could then be explained as being fuelled by international remittances from.

In the same study, Anyanwu (2011) found inflation rate as one of the strongest factors influencing income inequality in Africa. This can be substantiated by findings from several works (Bulir, 2001; Easterly and Fischer, 2001) among others which presented evidence correlating high rates of inflation with income inequality and/or poverty.

Table 2: Summary of reviewed literature on causes of income inequality

Cause

Papers

Measured variable

Effect on Income Inequality

Possible problems

Foreign Aid

The effect of foreign aid on income inequality: Evidence from panel cointegration Herzer and Nunnenkamp, (2012)

Foreign Aid and Income Inequality

Direct Effect: Foreign Aid exerts an income inequality increasing effect

Measures aid using Net Aid Transfers (NAT) which is problematic for aid research and donor evaluation

Aiding Inequality: The Effect of Foreign Aid on Income Inequality, Layton and Nielson, (2009)

Foreign Aid and Income Inequality

Direct Effect: Foreign aid has a positive effect on income inequality

Findings inconclusive

Politics and the Effectiveness of Foreign Aid, Boone (1996)

Foreign aid and politics

Indirect Effect on income inequality: Politics influences allocation of foreign aid.

Effects on income inequality not measured

Ethnic Diversity

Is Inequality in Africa Really Different, Millanovic (2003)

Income Inequality and Politics

Direct Effect: High ethnic fractionalisation results to high income inequality

Findings not satisfactory due to inability to test for ethnicity conclusively

Corruption

IMF working paper (May 1998): Does Corruption affect Income Inequality and Poverty?

Corruption, Income Inequality and poverty

Direct Effect: Increase in corruption increases income inequality

Education

Education and Income Inequality: New Evidence from cross country data. Gregorio and Lee (20020

Education and Income Inequality

Education has equalizing effects on income inequality

Didn’t discuss the issues of reverse causation between variables

International Remittances

International Remittances and Income Inequality in Africa, Anyanwu (2011)

International Remittances and income inequality

Direct Effect: International Remittance increases income inequality

Inflation

International Remittances and Income Inequality in Africa, Anyanwu (2011)

International Remittances and income inequality

Indirect Effect; International Remittances increase inflation which fuels income inequality

Relationship between Income Inequality and Development

This section looks at the relationship between income inequality and development. In a bid to ascertain the nature of the relationship, it discusses mechanisms through which income inequality affects or might affect development.

Measuring the development of a country can be done using a number of economic and social variables. Such variables include GDP, GDP per capita, life expectancy, and literacy rate among other. The UNDP also developed the Human Development Index which is a compound indicator that uses the above variables to determine the level of human development of a country. In determining the relationship between income inequality and development, the above variables for measuring development are taken into consideration.

Studies on the relationship between income inequality and development originated from the groundbreaking research by Simon Kuznets where he studied economic growth and income inequality and came up with a hypothesis that is currently regarded as the Kuznets hypothesis or the inverted U shaped hypothesis. The Kuznets hypothesis formed the basis from which most preceding studies analysed the relationship between income inequality and growth. Kuznets (1955) postulated that in the early stages of development, both a country’s economic growth and its inequality increase. As countries grow and develop, the income gap between the rich and the poor should decrease. Indeed, according to Kuznets, there is a gradual shift from a low-inequality, low-income, agricultural economy, towards a high-income and medium-inequality economy characterized by industrial production. This shift would lead to the inverted U-shaped relationship between real GDP per capita and inequality. Kuznets argues that in the initial period, agriculture represents the majority of a country’s economy, which is also characterized by low levels of inequality. According to Kuznets, a shift towards the secondary and the tertiary sectors has in essence two effects in the short run. The first effect is that it accelerates economic growth leading to higher levels of GDP per capita. The second and most dramatic effect is that this increases the level of inequality. Consequently, in the initial stages of economic development, the level of GDP per capita and inequality are positively correlated. As countries develop they shift more and more resources from agriculture to industry (and later to services), and this will in time decrease the income gap between the industry and agriculture simply because there will be more and more workers working in the industrial sector. Consequently, the long run relationship between inequality and GDP per capita is negative. The Kuznets hypothesis therefore showed causality from development to income inequality.

Although several investigations have found some support for the Kuznets hypothesis (e.g. Oswang, (1994); Milanovic, (1994); Fishlow, (1995) as well as Ali, (1998), some studies such as Ahluwalia, (1976); Bruno, Ravallion and Squire, (1995) and UNCTAD, (1997) however, found no such relationship between growth rates and income inequality. Deininger and Squire (1996) also did not find any evidence for the existence of such (Kuznets Relationship) a relationship between development and inequality. This shows that not all economies follow the inverted U shaped hypothesis during their development path.

Apart from Kuznets, several scholars have shown the relationship between income inequality and development mostly through a number of social variables such as; health and education and also through economic variables such as; taxation, credit markets and investment. The political mechanism has also been emphasised as one through which income inequality is associated with development. Most literature on the subject shows evidence of income inequality being detrimental to development.

The World Bank’s World Development Report (2006) says in its introduction that there is considerable evidence that equity is also instrumental to the pursuit of long-term prosperity in aggregate terms for society as a whole.” This goes a long way in saying that income inequality is detrimental to the welfare of a society.

Galor and Zeira (1993) found that inequality affects growth through credit market imperfections for financing investment in education. In this case, their finding was in regards to the poor who face borrowing constraints in financing education and hence in accumulating human capital. This has further effects on investment by the poor since they are forced to forego human capital even if the investments have a high rate of return. Therefore, the greater the degree of wealth and income inequality, the greater the number of people for which the constraints would be binding and, therefore, the lower is the stock of human capital in the economy. Economic growth is presumed to be enhanced through human capital accumulation. Therefore with less or no human capital accumulation, growth tends to be affected. Low levels of human capital formation are associated with low levels of human development which leads to low levels of development especially among the poor. However, the effect of this channel is weaker if education is being financed by the state of if it’s made compulsory; for example, in a country like Uganda where primary and secondary school education is being financed by the government. The poor though would still find challenges in financing higher education. With education being seen as a mechanism through which the poor can escape poverty, it’s limited accessibility by the poor has huge impact on the development of the country.

Perotti (1996) after carefully examining the various channels through which income inequality may affect economic growth provided support for the Galor-Zeira hypothesis showing that inequality is indeed associated with lower level of human capital formation, and lower human capital formation is associated with lower levels of economic growth.

Further support for the education channel is advanced by Deninger and Squire (1998) who utilized the distribution of land as a proxy for the distribution of assets and found that initial inequality has a significant adverse effect on education and economic growth. Moreover, consistent with the theories advanced by the credit market imperfections approach – that these imperfections ought to have a larger effect on the investment decisions of individuals with lower income – they find that initial inequality primarily hurts the poor.

From a social perspective, various studies have shown that social political unrest hurts development. Countries that have experienced such unrests provide evidence of the extent to which their development is affected. Alesina and Rodrik (1993) after studying a set of 70 countries found quite solidly that income inequality increases socio-political instability which in turn decreases investment. Subsequently, Alesina and Perotti (1996) linked inequality to social political unrest where they showed the likely negative effects of high inequality on economic growth through increased crime, social unrest and political instability. Despite its effect on growth, social political unrest also has an effect on development, first since all development activities will be halted in areas experiencing the unrest. This will affect various social variables such as education, health and access to basic services. These unrests tend to cause death and destruction of property in countries where they happen. Also institutions in such countries especially when the unrests are severe tend not to function optimally. A country’s development therefore either gets retarded or remains stagnant as a result of the unrests, even the economy ceases to grow. Foreign Direct Investment to such countries gets halted since investors are scared of investing in countries that are unruly. All these factors combined have far reaching dangers on development.

Alesina and Rodrik (1994) argued that inequality affects the economy through endogenous fiscal policy or political economy. They argue that a high level of inequality leads to redistributive fiscal policy in the form of higher government expenditure and distortionary taxation which, in turn, are believed to retard growth. They formed the median voter paradigm which is based on the assumption that political power (e.g. one-person-one-vote in a democratic setting) is more equally distributed than economic power. This is especially due to the majority of individuals in a country who are either poor or belong to the middle class. By voting for redistributive policies which lead to high government expenditure and reduced taxes, the poor tend to benefit more than they would lose via taxes levied on them to finance their expenditure whereas the opposite case applies to the rich. Therefore the level of expenditure and taxation that each voter prefers inversely varies with their income levels. Hence the greater the amount by which the mean income in an economy exceeds the median income (i.e. the greater the degree of inequality) the more likely it would be that the redistribution of resources from the rich to the poor would be supported by majority voting (i.e. by the median voter). An increase in government expenditure means the poor are able to fiancé other needs. This is because it’s mostly the poor who tend to use government services such as health and education. Therefore their purchasing power will increase and they will be able to afford a decent lifestyle which improves human development and hence promoting growth and development.

Also in relation to the education-inequality nexus, Birdsall, Ross and Sabot (1994), in their study of East Asian Economies, found that policies for sharing growth can also stimulate growth. They mentioned that investment in human capital through education is relevant because it contributes to a reduction in inequality. They argued that such policies including those that reduce poverty and income inequality such as emphasising high-quality basic education and augmenting labour demand also stimulated growth. Closing two virtuous circles, rapid growth and reduced inequality led to higher demand for, and supply of, education. They also stated that low levels of income inequality may have directly stimulated growth. Also Stewart (2000) stated that since more equal income distribution is desirable as an intrinsic part of the development agenda, as a mechanism for reducing poverty and enhancing human development, and as instrumental to growth, the agenda should be to identify which types of growth are more likely to improve income distribution and which policies would help bring about egalitarian patterns of growth.

Barro (2000) analyzed the relationship between growth and inequality and discovered that higher inequality retards growth while inequality at a lower level is conducive to economic growth. However he also found that inequality doesn’t have a statistically significant effect on growth. By further dividing the sample between rich and poor countries, Barro found that the coefficient of inequality was statistically significant: in the negative direction among poor countries and positively for rich countries. Although most studies on the relationship between income inequality and development assumed that inequality and growth are linearly related, – Barro’s split sample may be interpreted as an exception to that general approach. Other studies that maybe similar to Barros in that they don’t depict income inequality and growth as being linearly related include; Banerjee and Duflo (2003) who found that an increase in inequality reduces growth but a decrease does too.

Stemming from the Kuznets hypothesis, Nikoloski (2009) focused on the aggregate level and posited that levels of economic development (captured by GDP per capita) influences inequality non-linearly. He found that in the short run a higher GDP per capita is associated with a higher level of inequality however in the longer run; higher levels of GDP per capita will be associated with lower inequality levels. This goes on to show that as countries develop further, the levels of income inequality tend to reduce overtime. In Anyanwu (2011) also found that in African countries, initial high per capita GDP strongly increases income inequality. However in recent years this isn’t the case because we are seeing developed economies that have high GDP per capita and rising income inequality at the same time.

The ‘human development’ explanation inequality also shows considerable evidence that a more equal income distribution leads to a greater spread and level of education, as well as improved health and nutrition, and that this in turn brings about higher growth (Ranis et al, 2000). Therefore reduction in income inequality has far reaching positive effects on development since human capital will be fully developed. However with health of a population being affected, development is likely to stagger – economic growth inclusive. Income inequality has also been associated with higher fertility, since those who are poor and less educated have larger families, and this in turn reduces growth (Benabou, 1996; Khoo and Dennis, 1999; Bloom et al., 1998). Large families which are especially common in African countries are detrimental to development, since in most cases those with large families are usually poor people who can’t afford basic needs and consume more. This would therefore mean they can’t save much and their chances of human development and investment would be limited. And as discussed low human development, low investment and low savings are not conducive for economic growth and development.

Easterly (2006) found that inequality does cause underdevelopment; he confirmed this with an analysis using cross-country data. He used agricultural endowments (specifically abundance of land), and found that they predict inequality and inequality predicts development. He also found that inequality affects other development outcomes – institutions and schooling – which has been emphasized above as mechanisms by which higher inequality lowers per capita income. Accordingly he found that high inequality to independently be large and a statistically significant barrier to prosperity, good quality institutions, and high schooling. These factors especially have been found to be a pre-requisite for development for example; Acemoglu, Johnson, and Robinson 2001, 2002, 2005 also suggested institutional quality as a fundamental determinant of economic development,

Alvan (2009) in his study on the relationship between income inequality and human development concluded that when human development is improved (High Human Development), income distribution tends to be fairer, also when income distribution is more equal, human development tends to improve. On the other hand, he also found that medium and low levels of human development tend to increase income inequality.

Also Wilkinson (1996) from a human development angle found that the average health status of a society depends on its income distribution with countries that have more unequal distribution of income experiencing lower life expectancy. An equitable distribution of income, as well as the achievement of social goals, is, therefore, essential aspects of development. Another study by Wilkinson i.e. Wilkinson and Pickett (2009) argued that income inequality is harmful to society. Societies with higher income inequality have lower levels of social cohesion, exemplified in outcomes such as more social problems, higher crime rates, higher mortality rates, worse health, more educational inequalities, and lower levels of social mobility, lower social trust, and lower political involvement.

Ravallion (2005) analysed whether there is a trade off between poverty and inequality and found that income inequality is associated with a fall in the incidence of poverty while a rise in income inequality stagnates poverty reduction instead of facilitating it. He added that in order to lower the absolute gap between the rich and the poor, absolute levels of living of the poor must first be lowered.

Another argument for equitable income distribution is by Gyimah-Brempong (2002), who found that equitable distribution of income leads to development. According to his study on Corruption, Economic Growth and Income Inequality in Africa, African countries could speed their income growth rate by adopting development strategies that expand employment opportunities to the majority of citizens and thus improve income distribution. Since economic growth increases the economic pie, equitable distribution of income will increase the living standards of the rich and the poor alike even though the income share of the rich may decrease. It appears that sustained development will imply economic growth with redistribution rather than stagnation with redistribution from the poor to the rich as corruption does.

Table 3: Summary of reviewed literature – income inequality and development relationship

Papers

Measured variable

Relationship

Possible problems

Economic Growth and Income Inequality, Kuznets (1955)

Growth and Income Inequality

At early stages of development, growth and income inequality increase, at later stages, income inequality would drop.

Not all economies follow this inverted U shaped hypothesis

Income Distribution & Macroeconomics, Galor and Zeira (1993)

Growth and income inequality

Indirect relationship: inequality affects growth through credit market imperfections

Growth, Income Distribution, and Democracy:

What the Data Say, Perotti (1996)

Growth, Income Distribution, and Democracy

Income inequality lower human capital formation which lowers economic growth and development

Difficulty in testing for human capital formation using the data

Income Distribution, Political Instability and Investment, Alesina and Perotti (1996)

Income Distribution, Political Instability and Investment,

Income inequality fuels social discontent which increases political instability hence affecting a country’s development.

Corruption, Economic Growth and Income Inequality in Africa, Gyimah-Brempong (2002)

Income Inequality and Economic growth

Equitable income distribution through expanding employment opportunities leads to economic development

The results are indicative rather than definitive

Inequality Growth and Investment, Barro (2000)

Income Inequality Growth and Investment

Inequality retards growth in poor countries and encourages growth in richer ones.

Shows little overall

Economic and Political Determinants of Income Inequality, Nikoloski (2009)

Income inequality and GDP per capita

In the short run, higher GDP per capita is associated with a higher level of inequality and otherwise in the long run

Economic growth and Human Development, Ranis et al, (2000)

Growth and Human development

Equitable income distribution improves a country’s human development

Doesn’t explain the existence of reverse causation between the variables

Inequality does cause underdevelopment: insights from a new instrument, Easterly (2006)

Income inequality and agricultural endowments

Income inequality contributes to low levels of development and its outcomes

Study limited to countries that are endowed agriculturally.

Forging a Link Between Human

Development and Income Inequality:

Cross-Country Evidence, Alvan (2009)

Income inequality and development

Improved human development equalizes income distribution

The results aren’t applicably universally because of the existence of several other Independent variables affecting income inequality.

Consequences of Income Inequality

This section looks at the economic consequences of income inequality. It seeks to discuss how income inequality hurts or might hurt the economy. The consequences are explored through a number of economic and social variables.

Research over the last three decades has opened up a number of avenues for thinking about the consequences of inequality. With Kuznets having discovered that income inequality reduces at a later stage of development – this has sometimes been used as an excuse for taking no action on income distribution. However taking no action has serious consequences on an economy and as studies have shown, most economies don’t naturally adhere to the Kuznets hypothesis. Some politicians have also stated that the cost of reducing inequality might be higher than the cost of inequality; this however has long term consequences. Reducing income inequality might pose short term economic challenges however not more than the consequences that income inequality can pose. More so because the situation will continue worsening if nothing is done. A number of studies have argued that income inequality has grave consequences to an economy both on growth and development.

Alesina and Rodrik (1994) argued that income inequality decreases economic growth through a decrease in investment. A decrease in investment has ripple effects on other economic variables such as employment and income. This can cause a further increase in levels of income inequality since the poor section of the population will be highly affected. A decrease in investment also affects growth and a country’s per capita GDP. The effect on income inequality on the economy was also highlighted by Furman and Stiglitz (1998) in their study on the Economic Effects of Income Inequality when they stated that income inequality leads to unemployment. Unemployment has further consequences to an economy; such consequences include political and social unrest and an increase in crime in a country. The crime-inequality nexus was also highlighted by Soares (2004) who confirmed a positive relationship between inequality and crime rates. He argued that quantitatively reducing inequality is far more effective in reducing crime than such alternatives as better education or policies to promote growth. Income inequality therefore has cyclical effects on an economy and its interplay with various economic and social variables is destructive to economic activities.

As discussed above, one of the mechanisms through which income inequality widens is through politics. With politicians fuelling income inequality, they might not care about redistribution and this might create conflicts between them and policy makers. According to Berg and Ostry (2011), societies with high inequality tend to adopt policies that hinder long-term growth potential, due to conflicts between the holders of economic power and political power. This therefore creates destabilizing influences as the decision on which strategy to take rages on. High income inequality might also increase competition between low and high income earners with the former under pressure to borrow in order to maintain a consumption level that befits the society in which they live. This eventually will lead to an increase in debt and inflationary pressures and macro-economic instability which according to Rajan (2010) was thought to be one of the causes of the recent recession.

Another approach stresses political stability as an intervening variable between income distribution and growth (Alesina and Perotti, 1996, Benabou, 1996). They argued that in highly fragmented societies, specific interest groups through rent seeking tend to engage in rent-seeking and through such conditions violence and government overthrows are likel to occur. Rent seeking leads to political control of the economy by specific groups, to closed markets, cartelization, and a general loss in efficiency and as mentioned above it also creates conflict between holders on of political power and those of economic power. Such situations create economic uncertainity and have effects on various economic variables such as taxation. With rent-seeking in an economy certain individuals who are usually wealthy will ask for tax exemptions from the government. They might also lobby for certain policies that are usually selfish with wider effects on the poor. There will also be an effect on investment; economic uncertainly certainly scares away investors and leads the population to a rush where people start converting their money to assets in fear of money loosing value.

With unequal income distribution in an economy, the poor part of the population who are usually the majority especially in developing countries, will find it hard to invest their human capital, and this tend to weaken growth. This tend to get such individuals in a low human capital formation gap and according to Galor and Zeira (1993) and Benabou, (1996), capital markets cannot overcome this trap because information on future income growth due to human capital formation is not available.

Income inequality also generates inefficiencies in an economy through distortive taxation. In economies with a wide gap in income distribution, distributional conflicts are usually more intense. This can be explained using the median voter paradigm argument by Alessina and Rodrik (1994). This will modify the agenda of the competing political parties, which may lead to more distortive taxation, with adverse effects on income growth. Also Persson and Tabellini (1994) found that greater inequality has an adjusting effect leading to a new “politico-economic equilibrium” which has implications on an economy’s growth path. Alessina and Rodrik (1994) also presented this idea clearly stating that higher inequality leads to political pressure on the government to raise the rate of taxation on capital. This however has effects on the economy since capital accumulation is the key to growth, and a higher capital tax disturbs incentives to accumulate capital, this will necessarily mean that the economy grows at a less than optimal rate. Bruno, Ravallion and Squire, (1995) found that higher inequality gives a disproportionate influence to rich groups which lobby for preferential tax treatment, leading to over-investment in certain areas and reducing growth. This has a great effect on the poor especially in developing countries who already even with lower taxes are unable to access capital for investments. Eventually with the pressure to increase taxation the poor get affected which eventually affects their welfare.

According to the World Bank (2006) World Development Report, large inequalities in income may result in racial and gender discrimination in the labour market, thereby discouraging participation and reducing labour supply. A reduction in an economy labour supply will definitely lead to a reduction in production hence affecting growth and production.

Discussion

This section discusses income inequality and development in Uganda using data on indicators of economic development and the country’s Gini coefficient as an indicator of income inequality. In a bid to make a comparison between income inequality and economic development over the years, variables such as GDP per capita, Human Development Indicators, and the Gini coefficient are used. Analysing data from the above indicators, I try to ascertain the direction in which development moves in the presence of income inequality. In order to analyse the trend of income inequality in Uganda, I look at the country’s Gini coefficient over a number of years. These figures however aren’t consistent due to limited data for certain years.

Table 4: Uganda’s Gini Coefficients

Year

Gini Coefficient

2002

45.77

2005

42.62

2006

42.62

2009

44.3

Source: http://www.tradingeconomics.com/uganda

Table 5: Regional Breakdown of Uganda’s Gini Coefficients

Location

Gini coefficient

 

2002/03

2005/06

2009/10

Place of residence

Rural

0.363

0.363

0.375

Urban

0.483

0.432

0.447

Region

Central

0.46

0.417

0.451

Eastern

0.365

0.354

0.319

Northern

0.35

0.331

0.367

Western

0.359

0.342

0.375

Region (rural/urban)

Central rural

0.372

0.376

0.414

Central urban

0.48

0.392

0.427

Eastern rural

0.338

0.326

0.304

Eastern urban

0.403

0.441

0.393

Northern rural

0.326

0.3

0.347

Northern urban

0.434

0.381

0.372

Western rural

0.333

0.319

0.352

Western urban

0.448

0.421

0.443

Source: Uganda Bureau of Statistics

Referring to Table 1, income inequality in Uganda was high in early 2000s, although it dropped at some point, it began rising again and settling at 44.3 as of 2009. While income inequality has been rising, the Uganda’s economy has also been growing and developing steadily. A deeper look at the country’s level of inequality shows that even within regions, income inequality levels are high. Urban inequality is still much higher than rural inequality in all region of the country. Within the central region where the capital city of Uganda i.e. Kampala is located, income inequality is much higher (at a Gini coefficient of 44.7) than the national figure of 44.3. From Table 2; it can be seen that even regional inequality has been rising over the years.

By using GDP and GDP per capita to analyse the country’s trend of growth and development, it can be seen that the two variables have been at an increasing level; with GDP increasing faster and steadily while GDP per capita increasing at a slow level, as shown in the table below. Although Uganda’s GDP and GDP per capita have been increasing, so has the country’s population at a rate of 3% per annum, according to World Bank Data 2011. This would explain the slow rate at which GDP per capita has been growing. The increase in a country’s population tends to exert a reducing or stagnating effect on the country’s GDP per capita especially if its GDP is growing slowly.

Referring to Nikoloski (2009) finding where he stated that in the longer run higher levels of GDP per capita will be associated with lower inequality levels. This could be true in Uganda’s case where as its GDP per capita rises further, its income inequality might reduce. Nikoloski showed that as countries developed further, the levels of income inequality tend to reduce overtime; this is also in line with the Kuznets hypothesis. This trend however might be different and follow Anyanwu (2011) finding where he showed that in African countries, initial high per capita GDP strongly increases income inequality. So when Uganda’s GDP per capita increases further, we might witness an increase in income inequality too. The direction in which Uganda’s income inequality will take might not be easy to determine using its current or previous GDP per capita. The direction in which income inequality will take might depend on other economic or social and political variables.

Table 6: Table showing Uganda’s GDP and GDP Per Capita for the last 7 years

Year

GDP, PPP

(Current International $)

GDP Per Capita PPP (Current International $)

2005

46,730,051,194

911

2006

42,631,353,726

1009

2007

39,797,637,154

1089

2008

36,717,758,927

1172

2009

33,045,484,672

1230

2010

29,622,481,600

1275

2011

25,903,142,658

1354

Source: World Bank Database

Therefore making a comparison between income inequality and development in Uganda once can conclude that while a country develops, income inequality also increases. However like mentioned in chapter 1 a number of variables are responsible for the rising income inequality which exist within an economy even with development taking place. So at this point it’s difficult to ascertain whether income inequality has a negative or a positive effect on a country’s development. This is because the slow rate at which the country’s GDP per capita is growing could be due to the fact that income inequality is high. The high income inequality level could also be attributed to the consistent development and growth that the country is witnessing.

Going further and looking at income distribution in Uganda, data from Table 1 shows that the highest 20% of the population hold at least 50% of the total income. Therefore the consistent rise in the country’s GDP could be due to the fact that the few individuals who own most of the income are able to re-invest it hence contributing to growth and development. Increase in investment contributes to increase in employment which increases the income of the population. This however isn’t conclusive since it can be seen that from 2006 to 2009 the income share held by the lowest 20% of the population has dropped.

Although income share held by the poorest quintile of the population decreases, in terms of purchasing power, these individuals are not badly off; since most of them are living above the poverty line hence enjoying a slighter better standard of living. This can be substantiated by data from UNDP HDI indicators 2011 which shows that the percentage of the population living at below $1.25 a day reduced from 55.5% in 2005 to 28.7 in 2009. So while the income share held by the lowest 20% is reducing, so is the population living below the poverty line. This might seem to show that although income inequality is worsening, the standards of living aren’t worsening. This could also mean that while the rich get richer, part of their income might have been used to improve the living standards of the poor through increased investments hence an increase in employment and income. However due to in availability of data for certain years, a thorough comparison couldn’t be done.

However, although the number of individuals living below $1.25 has reduced, a majority of the country’s population still live in poverty. According to World Bank Data, the number of people living below $2 a day is still at 64.7% as of 2011. Although this figure has reduced over the years, it’s still high in comparison to the rate at which the country has been growing and developing.

Another factor that can explain a country’s level of development is the Human Development Index. Looking at Uganda’s HDI, it can be seen that although it’s still classified under a low human development index country, it has been improving over the years. However this has been at a very low rate compared to the rate at which the GDP per capita has been rising. Uganda’s HDI is currently at 0.446 ranking it at 161 out of 187 countries with comparable data. The HDI of Sub-Saharan Africa as a region is currently at 0.463 which place Uganda below the regional average.

Table 7: Table showing Uganda’s Human Development Index for the last 7 years

Year

Human Development Index (HDI) value

2011

0.446

2010

0.442

2009

0.438

2008

0.43

2007

0.42

2006

0.41

2005

0.401

Source: UNDP’s International Human Development Indicators Database

From the human development angle, the current level of income inequality could be used to explain the reasons for the low level of Uganda’s HDI and its development. Uganda is classified under high income inequality country which could be contributing to the low levels of income inequality. This hypothesis was proven by Ranis et al, (2000), where they showed considerable evidence that a more equal income distribution leads to a greater spread and level of education, as well as improved health and nutrition, and that this in turn brings about higher growth. Reduction in the levels of income inequality could have far reaching positive effects in improving the development of the country since an improvement in the HDI signifies an improvement in welfare hence a rise in productivity. Another effect is on the country’s institutions which are responsible for improving human development hence responsible for an increase in the country’s productivity; these institutions seem to be affected if the level of income inequality is high. This was proven by Easterly (2006) who found that that income inequality affects other development outcomes – institutions and schooling – which he also emphasized as mechanisms by which higher inequality lowers per capita income.

Relating HDI to income distribution, the unfairness in the distribution of income in Uganda could also be responsible for the low levels of human development and development in general. This hypothesis was advanced and is supported by Alvan (2009) where he concluded that when human development is improved (High Human Development), income distribution tends to be fairer, also when income distribution is more equal, human development tends to improve. However we can also say that at low levels of human development, inequality might increase. This could be because with low human development, productivity is usually very low hence the poor remain poor while the rich who enjoy high human development get richer hence widening the income gap. Alvan findings also support this argument where he showed that medium and low levels of human development tend to increase income inequality.

Looking at factors that contribute to human development such as education, life expectancy and infant mortality, data shows that Uganda’s performance isn’t satisfactory yet. Currently the education index, although it has been rising, is still at 0.475 as of 2011 according to UNDP’s International Human Development indicators (2011), while expenditure on education as of 2011 was at 3.2% of GDP. These figures are still low which could be contributing to the high levels of income inequality. Since its mostly the poor who depend on government for financing their education, with such low figures they tend to receive poor quality of education which eventually means difficulty in attaining good performance and a good paying job in future hence increasing their income. While on the other hand their rich counterparts who access private expensive education will most likely get better jobs with high income. This could explain the high income disparities in the country since it could be due to a vicious cycle, where the poor remain poor over generations and the rich richer with the gaps widening. The reverse could also be true with high income inequality contributing to low levels of education among the poor since inequality contributes to low investment in education. This can be substantiated by Galor and Zeira (1993) and Piketty (1997) who found that inequality affects growth through credit market imperfections for financing investment in education. In this case, their finding was in regards to the poor who face borrowing constraints in financing education and hence in accumulating human capital.

Using GDP per capita, HDI and poverty analysis, one can see that the rising and high level of income inequality hasn’t led to a reduction of the country’s GDP per capita and HDI. It can also be seen that even with the rising levels of income inequality, the number of individuals living below the poverty line of $1.25 has been reducing. Ravallion (2005) analysed whether there is a trade off between poverty and inequality and found that income inequality is associated with a fall in the incidence of poverty while a rise in income inequality stagnates poverty reduction instead of facilitating it. He added that in order to lower the absolute gap between the rich and the poor, absolute levels of living of the poor must first be lowered. This could mean that with the majority of Uganda’s population living below in poverty, income inequality in the country will remain high for a while.

From the above analysis, it is difficult to conclude whether income inequality has a direct effect on development or vice versa. From Uganda’s data shown above, the country has been developing over the years, despite being a high income inequality country. One can also say that income inequality might be beneficial to a country’s economy so at a higher level a country might continue to devel