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AN ANALYSIS OF THE POVERTY GROWTH INEQUALITY NEXUS IN NIGERIA 1992-2010

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ABSTRACT

The issue of poverty is posing serious threat to the development of the Nigerian  economy. Growth was seen as the driving force for poverty reduction by studies carried out in the 1980s. But,  recent attention  has now been  shifted  to  the  role of income  distribution  in reducing poverty  since  the  yield  of  growth  may  not  be  equally  shared  and  poverty  not  reduced. However, a distinct conclusion  is yet to be established on  the  role of inequality in poverty reduction.  Analysis  on Poverty  growth  and inequality  has received  much attention  among scholars, both in Nigeria and various other economies of the world. However,there seems to be a gap in literature on the flow of the  triangle and the possibility of the previous levels of poverty,  growth  and inequality  influencing  the relationship  of the triangle.  Therefore,  this research  investigated  the  poverty- growth-inequality-nexus  in Nigeria,  using state data for

1992  to  2010  in  a  four  year  round  panel  framework.  The  study  employed  a  dynamic

simultaneous  equation  model  while  the Fixed  Effect, Panel Least Square,  First  Difference Generalized  Method-of-Moments  and  the System  Generalized  Method-of-Moments  (GMM) econometric estimation techniques were used in the estimation of the model. The result from the  study  proved  the  System  Generalized  Method-of-Moments  of estimation  to  bethe  best approach in analyzing the interaction among poverty growth and inequality in Nigeria rather than the other methods.The result of the empirical study revealed that growth is positively and significantly  related  to  poverty  andthere  was  a  negative  and  significant  effect  of income inequality on  poverty. Poverty was found not to have any significant  effect on growth and inequality. Poverty was positively related to growth and negatively related to inequality. The result of the study further showed that there is a positive feedback relationship between growth and inequality.  States with high previous  poverty  levels tend to experience  higher  present levels of poverty and states with high previous levels of growth  tend  to  experience  higher present level of growth. The result of the study also showed that unemployment and literacy rates  were  critical  determinants  of poverty  levels.  Deliberate  effort  of the government  in redistributing income is highly recommended to ensure poverty reducing impact of growth in Nigeria. Also, the need for unemployment reduction as a major part of policy measures aimed at poverty  reduction  in  Nigeria  is  highly  recommended  for effective  poverty  reduction  in Nigeria.

CHAPTER ONE

INTRODUCTION

1.1Background to the Study

The fight against poverty is now one of the main objectives of the development process. It is imperative  to  view  its  long-term  effects  and  solutions  given  its  relation  with  growth  and inequality.  This has raised the debate and broadened the spectrum of analysis on the poverty- growth-inequality  interrelationships,  with halving extreme poverty by 2015 constituting  the first, and perhaps the most critical, goal of the Millennium Development Goals (MDGs). The major concern of world economy is on how to reduce poverty. Thus, ensuring that those in need get their share of the world’s riches from the large amount of wealth created in the past century (Todaro and Smith, 2006).

There  is  no  single  definition  of  poverty.  Poverty  can  be  defined  based  on  individual’s perception under different circumstances. However, in a simple form, it is defined as a state of deprivation or lack of resources to meet basic needs. According to Todaro and Smith (2006), “the poor can be defined  as the number of people living  below a given minimum level of

‘income’-an imaginary international poverty line which recognizes neither national boundaries nor levels of national per capita income” “Human Poverty is more than income poverty; it is the denial of choices and opportunities for living a tolerable life” (United Nations, 1997).

Sen (1999) noted that poverty amid plenty is the world’s greatest challenge. Poverty makes the people  live  without  fundamental  freedoms  of  action  and  choices.  More  than  half  of  the citizen’s of the developing countries lived on less than $1.25 a day in 1981 this has however, dropped to 21 percent in 2010. Yet, about 2.8 billion live on less than $2 a day, and 1.2 billion live on less than $1.25 a day of the total world population of about 7  billion. According to World  Bank  (2010),  Sub-Sahara  Africa  countries  have  the  highest  levels  of  poverty  and income  inequality  in the  past  three  decades.  About  500  million  are  poor  out of its total population of about 877.6 million. Irrespective of the fall in poverty rate of 10 percent between

1999  and  2010,  Sub-Sahara  Africa  is the only region that  had  a rise  in  number  of  poor individuals  between 1981 and 2010. There were more than twice as many  extremely poor people living in SSA in 2010 (414 million) than there were three decades ago (205 million). As

a result of this, Sub-Sahara Africa accounts for a third of the world’s total poor population in

2010 as compared to the 11 percent of the world’s total poor in 1981 (World Bank, 2010).

In 2006, out of the 50 nations on the UN list of least developed nations, 34 are in Sub-Sahara Africa. A more sobering statistics is that about 14.6 million children (simply, one in every five) live in absolute poverty as at 2007 data. As presented  by the Human  Development  Report (2013) of United Nations Development Programme, human development index for the region was 0.475 in 2012 from 0.366 in 1980 which has been the worst since 1980 as compared to other regions. It has the lowest life expectancy rate of 54.9 and lowest mean years of schooling of 4.7. It also  had the highest  number  of  youths as well as the highest  number of youth unemployment of 50 percent in 2012 and average youth unemployment of 12 percent over the period. The degree of poverty can depend upon two factors-the average level of income and the extent of inequality in income distribution.

Although growth is seen as the main drivingforce for poverty reduction, interest has nowbeen based on the role of income distribution in reducing poverty since the yield of growth may not be equally shared and poverty not reduced. A distinct conclusion is yet to be established on the relationship between equity and economic growth. The question at hand is whether countries should fight to stimulate economic growth usingmore robust economic incentives that lead to more  inequality  or strive  to  reduce  inequality,  enhance  social  stability,  foster  growth  and reduce poverty.

From past studies, there are different effects considering rich versus poor countries,  regions versus nations and cross section versus time series evidence. Garbis(2005) noted  that initial thinking on the impact of inequality on growth is that greater inequality might be beneficial. This means redistribution of income that implies a trade-off of more growth for the price of more inequality. This ambiguouslyaffects the poor people.Inequality may limit growth at the nation level even when the increase in  economic motivesadvances  growth especially at the lower level, with high mobility of factors. It is a general impression among Economists that poverty seems to be high majorly as a result of the increasing income inequality.It is important that   successful   development   strategies   look   at   their   interdependency   andinteractions. Hence,Bourguignon (2004) refers to this relationship as the poverty-growth-inequality triangle.

1.2 Statement of the Problem

The policy that would help in the achievement  of equity in distribution  and alleviation  of poverty had been an ongoing debate. Before now, the major debate was the professed trade-off between growth and inequality according to Kuznet’s  inverted  U-hypothesis  that suggested that inequality rises during the initial stages of development and then declines. Question has also been raised on the trickle down of the output of economic growth to the poor as proposed by early theories of development. However studies on different countries have shown that such a pattern cannot always hold for all countries (Deininger and Squire, 1996; Aigbokhan, 2000) and  recent  emphasis  has  been  on  explaining  the  rationale  behind  distinct  experiences  by different countries.

Nigeria’s poverty situation is of a major interest. Statistical data attest to the growing incidence and depth of poverty in the country, and this presents a paradox considering  the country’s endowment of vast human and physical resources. The country is rich, but the people are poor (World Bank, 1996a, in Obadan, 1997). Irrespective of the fact that poverty reduction has been at   the   center   ofthe   country’s   economic   policy   and   development   programmes   since independence   with  different   targeted   program(for   instance,   National  Accelerated   Food production Programme, Directorate for Food, Road and Rural Infrastructure (DFRRI), Better Life Programme, National Directorate of Employment, National Poverty Eradication Program (NAPEP), National Economic Empowerment Development Strategies (NEEDS) and Subsidy Reinvestment  and  Empowerment  Programme  (SURE-P)),  using  huge  human  and  material resources and covering different sectors (agriculture, health, education, housing and finance), no  noticeable  success has been achieved  in this direction.  The poverty rate is still on the increase given an average of 5 percent per capita growth rate since 2000 (Ichoku,Agu  and Ataguba,  2012).  However,  there  are  diverse  views  empirically  on  the  impact  of  these programmes on the poor and poverty reduction. While some believe it has had positive impact (for example Obadan,  1994; Canagarajah,  Ngwafon and Thomas,  1997),  others opposed  it (examples, Osinubi, 2003; Olaniyan and Bankole 2005; Ichoku et.al,2012).

According  to  World  Development  Report  (2015),  Nigeria  was  amongst  the  low-income countries with GDP per capita of $1700 in 2014. Similarly,  the HDR  (2013)  ranks Nigeria

37thin terms of GDP, while onper capita GDP basis, it ranks 143rd. The HDR (2013)  ranks

Nigeria  30th  on  the  basis  of  Purchasing  Power  Parity  (PPP  $),  and  150th   on  Per  Capita Purchasing Power Parity (PPP $). Its human development ranking is equally very low. Human Development Index (HDI) in 2011 puts it at 156th position among 177 countries as compared to

the 151st position in 2002, while its Gender Development Index (GDI) is at the 132ndposition. However, Nigeria ranks 6th and 7th as oil exporter and producer, 10th  as the most populous country in the world, 26th  largest economy in the world and the  largest economy in Africa (World Bank, 2015). According to UNDP HDR (2009, 2010), Nigeria’s human poverty index (HPI)  for  2007  was  36  percent  placing  Nigeria  at   the  114thposition.   Also  in  2010, multidimensional poverty index was about 0.310 with about 62percent poor multidimensional while World Bank (2015) rates Nigeria among the 5th poorest nations in the world as at 2014. Inequality is also very high with the ratio of the richest 10 percent to the poorest 10 percent of

16.3 and a Gini index for the nation of 42.9 in 2010 (UNDP, HDR, 2011).

Nwaobi(2004) observed thatNigeria’s challenges are beyond enhancing one sector, State  or region and the use of policies that lead to inefficiencies in resource allocation. It requires the adoption of policies that will improve the welfare of all living in it. According to the National Bureau  of Statistics  (NBS, 2012) and UNDP (2013),  an estimated  population  of about 15 percent of Nigerianlived  in poverty in 1960. The incidence  of  poverty based on $1 a day increased sharply between 1980 and 1985 as well as between 1992 and 1996. However, there was a decrease in poverty level between 1985 and 1992, see figure 1.

Figure 1.1: Poverty-growth-inequality trends

Source: Authors chart using data from Central Bank of Nigeria, CBN, (2013), National Bureau of Statistics

(2012) and Human Development Report, 2009, 2013

Figure 1 also shows that Real GDP growth rate followed the same trend as poverty increasing from 9.54 in 1985 to 10.48 2004 but dropped to 7.98 percent in 2010.  Having rebased the

Nigerian GDP, the annual growth rate of GDP rose to 7.44 percent in 2014 (NBS, 2014). NBS (2012)  estimated  the  incidence  of  poverty  of  most  States  in Nigeria  in 2010  to  be over

60.0percent.  This means that over 60.0percent  of their population is poverty stricken  while some States have a very high incidence of poverty (for instance, Adamawa, 74.2; Sokoto, 81.2; Gombe, 74.2; Kastina, 74.5; Jigawa 74.1).The poverty incidence in the different States differs as a result the institutional componentsof the States. Per capita expenditure and the inequality are also on the rising side. Per capita expenditure increased continuously from N15.98 in 1985 to N1585.17 in 2007 and N2391.4 in 2010.Inequality rose continuously from 34.28 in 1980 to

46.50 in 1996, experienced a little drop in 2004 and increased to 44.96 in 2010 (NBS, 2006; Central  Bank  of  Nigeria,  (CBN),  2010).    This  has  raised  a  question  on  the  theoretical postulation of an inverse relationship between poverty and growth in Nigeria. To understand the nexus between growth, poverty and inequality is thus a major challenge both in research and policy debates.

Several  studies  have  been  carried  out  on  poverty,  growth  and  inequality  ranging  from measurement to analysis and empirical literature seems to lead to contradicting conclusions. A major feature of the relationship between growth and poverty that is often  neglected is that there is no invariant relationship between the rate of growth and the rate of poverty reduction (faster  growth  is not always  accompanied  by faster  rates  of  poverty reduction)  (Epaulard,

2003)  and the reasons  for these  variations  are not  yet fully understood.  Thus,  eliminating poverty  in the shortest  possible  time requires  an understanding  of what  lies  behind  these variations. Inequality has been found to play significant role in the poverty-growth-inequality relationship  by some  studies  (Bourguignon,  2003;  Epaulard,  2003;  Kalwij  and  Verschoor,

2007), other  studies have reached  the decision that there is no deliberate  and regular  link between  increase  in  growth  and  reduction  in  poverty  because  growthwas  found  not  to beenough  in  the  reduction  of  poverty  (Deininger  and  Squire,  1998;  Fosu,  2009)  while othersdemonstratedthe  existence  of  a  relationship  between  per  capita  income  growth  and poverty reduction (Dollar and Kraay, 2002).

In  Nigeria,  some  studies  have  been  carried  out  on  Growth  and  Poverty  alleviation  (see: Aigbokha,  1997,  2000;  Bulama,  2004;  Obadan,  1997;  Obi,  2007;  Ichoku  et.  al,  2012). Aigbokhan  (2000)  examined  Nigeria’s  poverty profile and found that  poverty  is increased because of the existence of polarization in the distribution of income. The result of the study also showed that there is no existence of “trickle down” experience; growth did not enhance

poverty and inequality reduction. The study of Bulama (2004) showed that poverty, inequality and economic growth correlate.

Tesliuc (2003) noted that most of these inconsistencies in these previous studies might be as a result of the methods used to evaluate poverty. It is also possible that inequality’s impact on growth differs based on the economic setting. Past growth measures have been examined using nominal per capita expenditures and income data, as presented  in  official reports (Bulama,

2004; Obi, 2007). The use of real per capita expenditures as recommended by Boccanfuso and Kaboré, (2004) can mitigate conclusions  on poverty trends and growth  relationship.Bulama (2004)  conducted  some  studies  using Ordinary  Least  Square  (OLS) method  of which  the stationarity of the data was not confirmed. These only gave a partial result since it was carried out on a partial analysis. Thus, a dynamic study is important in analyzing this nexus.

This study used a new methodology knowing that per capita expenditure changes over time. One possible  indicator  of pro-poor  growth is the growth elasticity of poverty,  that  is, the percentage fall in poverty when the economy grows by one percent. As noted by Kurita and Kurosaki (2007), Kakwani (1993) shows that the elasticity to a counterfactual growth pattern that makes the entire Lorenz curve unchanged depends on the shape of the Lorenz curve and the location where the poverty lines fall on the curve. Kakwani, Khandker and Son (2004) and Heltberge (2004) examined this elasticity using current micro-dataset. These are different ways to show the changes that occur in the distribution. However, it is hard to infer the structural relationship  among  poverty,  growth  and  inequality  using  these  methodologies  since  the changes  in  poverty  and  those  in  average  expenditure  in  the  same  period  are  linked  by construction. It is, therefore, imperative to evaluate this nexus for Nigeria in a dynamic panel framework as recommended for future research by Alesina and Rodrik(1994) in their seminal paper in this field of study.

Hence, this study deviated especially from the most recent comprehensive study on the subject in Nigeria because it evaluated growth using real per capita expenditures. It also evaluated the poverty growth inequality nexus in Nigeria using measures of poverty and inequality data of the most recent survey in a dynamic panel framework. It is quite clear from the literature that growth alone is not enough to tackle the problem of poverty rather inequality may also be vital. Thus,  meeting  the  goal  of  poverty  reduction,  for  instance,  may  require  special  attention predicated on a better understanding of the  poverty–growth–inequality  nexus, particularly in Nigeria.

1.3Research Questions

Given the Nigerian growth and poverty structure, the following questions therefore, became imperative:

i.     How is growth related to poverty in Nigeria?

ii.     Is poverty a significant function of inequality in Nigeria?

iii.     What is the relationship between growth and inequality in Nigeria?

1.4 Objectives of the Work

The broad objective of this study was the presentation of a dynamic analysis of the Poverty- Growth-Inequality  Nexus, using Nigeria as a case study. Specifically,  the  objectives of the work are to:

i.     Analyze the relationship between poverty and growth in Nigeria.

ii.     Evaluate the statistical relationship between poverty and inequality in Nigeria iii.     Ascertain the relationship between growth and inequality in Nigeria.

1.5 Research Hypotheses

Based on the above objectives, this research tested the following hypotheses:

i.     Poverty has no significant relationship with growth in Nigeria.

ii.     There is no significant relationship between poverty and inequality in Nigeria. iii.     There is no significant relationship between growth and inequality in Nigeria.

1.6. Significance of the Study

The quest for poverty reduction is a pompous developmental concern in Nigeria. The country is faced with the major problem of a viable policy framework to achieve these objectives of poverty reduction and reduction of inequality in the face of high growth rate. There is also the problem of the possibility of a trade-off. Thus, if reducing inequalities brings quicker reduction in poverty, then distribution policy will take upper hand; and if it is growth that will bring down poverty fast, it will take the priority. This has led to  different studies on the subject

matter with inconclusive results. This work contributes to the development of Nigeria economy and literature on this issue in two major ways:

First, it provided a deeper understanding of the Poverty-Inequality- Growth Nexus in Nigeria using the current survey and also proffers possible policy measures that  accommodated  the inequality growth trade-off in Nigeria for government and other stakeholders in the war against poverty.  Knowing  the  status of a problem  makes  a  problem  half solved.  Thus,  the study brought out the structural relationship among growth, Inequality and poverty in Nigeria. This is of immense relevance to the poverty reduction developmental policies.

To test the theoretical hypothesis on the relationship among poverty, inequality and economic growth, the study used the system dynamic panel data model that allows researcher and policy makers to understand  the dynamics and adjustments of economic  variables. Dynamic panel data modeling has proved to be relevant and useful for understanding economic interactions between  markets  and  agents  in  a  complex  world   knowing  fully  that  many  economic relationships are dynamic in nature. It avails us the opportunity of exploring the cross-sectional and the time-series changes in growth and inequality as well as their impact on poverty.

Our research result is, therefore, expected to provide a quantitative policy framework to tackle the poverty and inequality problem that is eating up the economy. It is also anticipated to be an essential  component  in  our  efforts  to  establish  the  basis  for  long-term  and  sustainable development in Nigeria. It will give direction towards the combination of attention to income distribution and satisfaction of basic human needs in Nigeria. It also contributed to the existing knowledge and research in macro-micro-modeling.

1.7 Scope of the Study

The   study   analyzed   the   Poverty-Growth-Inequality    Nexus   in   Nigeria   using   semi- macro panel datasets from  National  Bureau  of  Statistics  and  Human  Development  Report, Nigeria for different  years.The  study used data on poverty measured by head count index, growth measured by real per capita expenditure and  inequality captured by Gini coefficient. Other variables arehousehold size, adult literacy rate, unemployment rate and sources of water available to the people.  The thirty-six States and Abuja constituted the cross-sectional scope while the period 1992 to 2010 using 1992, 1996, 2004 and 2010 formed the time series scope. The period used for the time series was chosen based on the limitation of data availability.

1.8 Limitation of the Study

This study is limited to the availability of recent data and had the most recent data available to be the General Household Survey 2010. It also had to make use of only four years round data as these were the only available periods of the national survey. The  data  for the study were obtained  from different  sources as only one source could not  provide  us with all the data needed for the study. The data used are as published in the  various survey reportsand other secondary sources that may also be prone to lack of perfect accuracy. The study also intended to compare the possibility of the impact of different measures of poverty and inequality, but this was not possible due to lack of data.CHAPTER ONE INTRODUCTION

1.1Background to the Study

The fight against poverty is now one of the main objectives of the development process. It is imperative  to  view  its  long-term  effects  and  solutions  given  its  relation  with  growth  and inequality.  This has raised the debate and broadened the spectrum of analysis on the poverty- growth-inequality  interrelationships,  with halving extreme poverty by 2015 constituting  the first, and perhaps the most critical, goal of the Millennium Development Goals (MDGs). The major concern of world economy is on how to reduce poverty. Thus, ensuring that those in need get their share of the world’s riches from the large amount of wealth created in the past century (Todaro and Smith, 2006).

There  is  no  single  definition  of  poverty.  Poverty  can  be  defined  based  on  individual’s perception under different circumstances. However, in a simple form, it is defined as a state of deprivation or lack of resources to meet basic needs. According to Todaro and Smith (2006), “the poor can be defined  as the number of people living  below a given minimum level of

‘income’-an imaginary international poverty line which recognizes neither national boundaries nor levels of national per capita income” “Human Poverty is more than income poverty; it is the denial of choices and opportunities for living a tolerable life” (United Nations, 1997).

Sen (1999) noted that poverty amid plenty is the world’s greatest challenge. Poverty makes the people  live  without  fundamental  freedoms  of  action  and  choices.  More  than  half  of  the citizen’s of the developing countries lived on less than $1.25 a day in 1981 this has however, dropped to 21 percent in 2010. Yet, about 2.8 billion live on less than $2 a day, and 1.2 billion live on less than $1.25 a day of the total world population of about 7  billion. According to World  Bank  (2010),  Sub-Sahara  Africa  countries  have  the  highest  levels  of  poverty  and income  inequality  in the  past  three  decades.  About  500  million  are  poor  out of its total population of about 877.6 million. Irrespective of the fall in poverty rate of 10 percent between

1999  and  2010,  Sub-Sahara  Africa  is the only region that  had  a rise  in  number  of  poor individuals  between 1981 and 2010. There were more than twice as many  extremely poor people living in SSA in 2010 (414 million) than there were three decades ago (205 million). As

a result of this, Sub-Sahara Africa accounts for a third of the world’s total poor population in

2010 as compared to the 11 percent of the world’s total poor in 1981 (World Bank, 2010).

In 2006, out of the 50 nations on the UN list of least developed nations, 34 are in Sub-Sahara Africa. A more sobering statistics is that about 14.6 million children (simply, one in every five) live in absolute poverty as at 2007 data. As presented  by the Human  Development  Report (2013) of United Nations Development Programme, human development index for the region was 0.475 in 2012 from 0.366 in 1980 which has been the worst since 1980 as compared to other regions. It has the lowest life expectancy rate of 54.9 and lowest mean years of schooling of 4.7. It also  had the highest  number  of  youths as well as the highest  number of youth unemployment of 50 percent in 2012 and average youth unemployment of 12 percent over the period. The degree of poverty can depend upon two factors-the average level of income and the extent of inequality in income distribution.

Although growth is seen as the main drivingforce for poverty reduction, interest has nowbeen based on the role of income distribution in reducing poverty since the yield of growth may not be equally shared and poverty not reduced. A distinct conclusion is yet to be established on the relationship between equity and economic growth. The question at hand is whether countries should fight to stimulate economic growth usingmore robust economic incentives that lead to more  inequality  or strive  to  reduce  inequality,  enhance  social  stability,  foster  growth  and reduce poverty.

From past studies, there are different effects considering rich versus poor countries,  regions versus nations and cross section versus time series evidence. Garbis(2005) noted  that initial thinking on the impact of inequality on growth is that greater inequality might be beneficial. This means redistribution of income that implies a trade-off of more growth for the price of more inequality. This ambiguouslyaffects the poor people.Inequality may limit growth at the nation level even when the increase in  economic motivesadvances  growth especially at the lower level, with high mobility of factors. It is a general impression among Economists that poverty seems to be high majorly as a result of the increasing income inequality.It is important that   successful   development   strategies   look   at   their   interdependency   andinteractions. Hence,Bourguignon (2004) refers to this relationship as the poverty-growth-inequality triangle.

1.2 Statement of the Problem

The policy that would help in the achievement  of equity in distribution  and alleviation  of poverty had been an ongoing debate. Before now, the major debate was the professed trade-off between growth and inequality according to Kuznet’s  inverted  U-hypothesis  that suggested that inequality rises during the initial stages of development and then declines. Question has also been raised on the trickle down of the output of economic growth to the poor as proposed by early theories of development. However studies on different countries have shown that such a pattern cannot always hold for all countries (Deininger and Squire, 1996; Aigbokhan, 2000) and  recent  emphasis  has  been  on  explaining  the  rationale  behind  distinct  experiences  by different countries.

Nigeria’s poverty situation is of a major interest. Statistical data attest to the growing incidence and depth of poverty in the country, and this presents a paradox considering  the country’s endowment of vast human and physical resources. The country is rich, but the people are poor (World Bank, 1996a, in Obadan, 1997). Irrespective of the fact that poverty reduction has been at   the   center   ofthe   country’s   economic   policy   and   development   programmes   since independence   with  different   targeted   program(for   instance,   National  Accelerated   Food production Programme, Directorate for Food, Road and Rural Infrastructure (DFRRI), Better Life Programme, National Directorate of Employment, National Poverty Eradication Program (NAPEP), National Economic Empowerment Development Strategies (NEEDS) and Subsidy Reinvestment  and  Empowerment  Programme  (SURE-P)),  using  huge  human  and  material resources and covering different sectors (agriculture, health, education, housing and finance), no  noticeable  success has been achieved  in this direction.  The poverty rate is still on the increase given an average of 5 percent per capita growth rate since 2000 (Ichoku,Agu  and Ataguba,  2012).  However,  there  are  diverse  views  empirically  on  the  impact  of  these programmes on the poor and poverty reduction. While some believe it has had positive impact (for example Obadan,  1994; Canagarajah,  Ngwafon and Thomas,  1997),  others opposed  it (examples, Osinubi, 2003; Olaniyan and Bankole 2005; Ichoku et.al,2012).

According  to  World  Development  Report  (2015),  Nigeria  was  amongst  the  low-income countries with GDP per capita of $1700 in 2014. Similarly,  the HDR  (2013)  ranks Nigeria

37thin terms of GDP, while onper capita GDP basis, it ranks 143rd. The HDR (2013)  ranks

Nigeria  30th  on  the  basis  of  Purchasing  Power  Parity  (PPP  $),  and  150th   on  Per  Capita Purchasing Power Parity (PPP $). Its human development ranking is equally very low. Human Development Index (HDI) in 2011 puts it at 156th position among 177 countries as compared to

the 151st position in 2002, while its Gender Development Index (GDI) is at the 132ndposition. However, Nigeria ranks 6th and 7th as oil exporter and producer, 10th  as the most populous country in the world, 26th  largest economy in the world and the  largest economy in Africa (World Bank, 2015). According to UNDP HDR (2009, 2010), Nigeria’s human poverty index (HPI)  for  2007  was  36  percent  placing  Nigeria  at   the  114thposition.   Also  in  2010, multidimensional poverty index was about 0.310 with about 62percent poor multidimensional while World Bank (2015) rates Nigeria among the 5th poorest nations in the world as at 2014. Inequality is also very high with the ratio of the richest 10 percent to the poorest 10 percent of

16.3 and a Gini index for the nation of 42.9 in 2010 (UNDP, HDR, 2011).

Nwaobi(2004) observed thatNigeria’s challenges are beyond enhancing one sector, State  or region and the use of policies that lead to inefficiencies in resource allocation. It requires the adoption of policies that will improve the welfare of all living in it. According to the National Bureau  of Statistics  (NBS, 2012) and UNDP (2013),  an estimated  population  of about 15 percent of Nigerianlived  in poverty in 1960. The incidence  of  poverty based on $1 a day increased sharply between 1980 and 1985 as well as between 1992 and 1996. However, there was a decrease in poverty level between 1985 and 1992, see figure 1.

Figure 1.1: Poverty-growth-inequality trends

Source: Authors chart using data from Central Bank of Nigeria, CBN, (2013), National Bureau of Statistics

(2012) and Human Development Report, 2009, 2013

Figure 1 also shows that Real GDP growth rate followed the same trend as poverty increasing from 9.54 in 1985 to 10.48 2004 but dropped to 7.98 percent in 2010.  Having rebased the

Nigerian GDP, the annual growth rate of GDP rose to 7.44 percent in 2014 (NBS, 2014). NBS (2012)  estimated  the  incidence  of  poverty  of  most  States  in Nigeria  in 2010  to  be over

60.0percent.  This means that over 60.0percent  of their population is poverty stricken  while some States have a very high incidence of poverty (for instance, Adamawa, 74.2; Sokoto, 81.2; Gombe, 74.2; Kastina, 74.5; Jigawa 74.1).The poverty incidence in the different States differs as a result the institutional componentsof the States. Per capita expenditure and the inequality are also on the rising side. Per capita expenditure increased continuously from N15.98 in 1985 to N1585.17 in 2007 and N2391.4 in 2010.Inequality rose continuously from 34.28 in 1980 to

46.50 in 1996, experienced a little drop in 2004 and increased to 44.96 in 2010 (NBS, 2006; Central  Bank  of  Nigeria,  (CBN),  2010).    This  has  raised  a  question  on  the  theoretical postulation of an inverse relationship between poverty and growth in Nigeria. To understand the nexus between growth, poverty and inequality is thus a major challenge both in research and policy debates.

Several  studies  have  been  carried  out  on  poverty,  growth  and  inequality  ranging  from measurement to analysis and empirical literature seems to lead to contradicting conclusions. A major feature of the relationship between growth and poverty that is often  neglected is that there is no invariant relationship between the rate of growth and the rate of poverty reduction (faster  growth  is not always  accompanied  by faster  rates  of  poverty reduction)  (Epaulard,

2003)  and the reasons  for these  variations  are not  yet fully understood.  Thus,  eliminating poverty  in the shortest  possible  time requires  an understanding  of what  lies  behind  these variations. Inequality has been found to play significant role in the poverty-growth-inequality relationship  by some  studies  (Bourguignon,  2003;  Epaulard,  2003;  Kalwij  and  Verschoor,

2007), other  studies have reached  the decision that there is no deliberate  and regular  link between  increase  in  growth  and  reduction  in  poverty  because  growthwas  found  not  to beenough  in  the  reduction  of  poverty  (Deininger  and  Squire,  1998;  Fosu,  2009)  while othersdemonstratedthe  existence  of  a  relationship  between  per  capita  income  growth  and poverty reduction (Dollar and Kraay, 2002).

In  Nigeria,  some  studies  have  been  carried  out  on  Growth  and  Poverty  alleviation  (see: Aigbokha,  1997,  2000;  Bulama,  2004;  Obadan,  1997;  Obi,  2007;  Ichoku  et.  al,  2012). Aigbokhan  (2000)  examined  Nigeria’s  poverty profile and found that  poverty  is increased because of the existence of polarization in the distribution of income. The result of the study also showed that there is no existence of “trickle down” experience; growth did not enhance

poverty and inequality reduction. The study of Bulama (2004) showed that poverty, inequality and economic growth correlate.

Tesliuc (2003) noted that most of these inconsistencies in these previous studies might be as a result of the methods used to evaluate poverty. It is also possible that inequality’s impact on growth differs based on the economic setting. Past growth measures have been examined using nominal per capita expenditures and income data, as presented  in  official reports (Bulama,

2004; Obi, 2007). The use of real per capita expenditures as recommended by Boccanfuso and Kaboré, (2004) can mitigate conclusions  on poverty trends and growth  relationship.Bulama (2004)  conducted  some  studies  using Ordinary  Least  Square  (OLS) method  of which  the stationarity of the data was not confirmed. These only gave a partial result since it was carried out on a partial analysis. Thus, a dynamic study is important in analyzing this nexus.

This study used a new methodology knowing that per capita expenditure changes over time. One possible  indicator  of pro-poor  growth is the growth elasticity of poverty,  that  is, the percentage fall in poverty when the economy grows by one percent. As noted by Kurita and Kurosaki (2007), Kakwani (1993) shows that the elasticity to a counterfactual growth pattern that makes the entire Lorenz curve unchanged depends on the shape of the Lorenz curve and the location where the poverty lines fall on the curve. Kakwani, Khandker and Son (2004) and Heltberge (2004) examined this elasticity using current micro-dataset. These are different ways to show the changes that occur in the distribution. However, it is hard to infer the structural relationship  among  poverty,  growth  and  inequality  using  these  methodologies  since  the changes  in  poverty  and  those  in  average  expenditure  in  the  same  period  are  linked  by construction. It is, therefore, imperative to evaluate this nexus for Nigeria in a dynamic panel framework as recommended for future research by Alesina and Rodrik(1994) in their seminal paper in this field of study.

Hence, this study deviated especially from the most recent comprehensive study on the subject in Nigeria because it evaluated growth using real per capita expenditures. It also evaluated the poverty growth inequality nexus in Nigeria using measures of poverty and inequality data of the most recent survey in a dynamic panel framework. It is quite clear from the literature that growth alone is not enough to tackle the problem of poverty rather inequality may also be vital. Thus,  meeting  the  goal  of  poverty  reduction,  for  instance,  may  require  special  attention predicated on a better understanding of the  poverty–growth–inequality  nexus, particularly in Nigeria.

1.3Research Questions

Given the Nigerian growth and poverty structure, the following questions therefore, became imperative:

i.     How is growth related to poverty in Nigeria?

ii.     Is poverty a significant function of inequality in Nigeria?

iii.     What is the relationship between growth and inequality in Nigeria?

1.4 Objectives of the Work

The broad objective of this study was the presentation of a dynamic analysis of the Poverty- Growth-Inequality  Nexus, using Nigeria as a case study. Specifically,  the  objectives of the work are to:

i.     Analyze the relationship between poverty and growth in Nigeria.

ii.     Evaluate the statistical relationship between poverty and inequality in Nigeria iii.     Ascertain the relationship between growth and inequality in Nigeria.

1.5 Research Hypotheses

Based on the above objectives, this research tested the following hypotheses:

i.     Poverty has no significant relationship with growth in Nigeria.

ii.     There is no significant relationship between poverty and inequality in Nigeria. iii.     There is no significant relationship between growth and inequality in Nigeria.

1.6. Significance of the Study

The quest for poverty reduction is a pompous developmental concern in Nigeria. The country is faced with the major problem of a viable policy framework to achieve these objectives of poverty reduction and reduction of inequality in the face of high growth rate. There is also the problem of the possibility of a trade-off. Thus, if reducing inequalities brings quicker reduction in poverty, then distribution policy will take upper hand; and if it is growth that will bring down poverty fast, it will take the priority. This has led to  different studies on the subject

matter with inconclusive results. This work contributes to the development of Nigeria economy and literature on this issue in two major ways:

First, it provided a deeper understanding of the Poverty-Inequality- Growth Nexus in Nigeria using the current survey and also proffers possible policy measures that  accommodated  the inequality growth trade-off in Nigeria for government and other stakeholders in the war against poverty.  Knowing  the  status of a problem  makes  a  problem  half solved.  Thus,  the study brought out the structural relationship among growth, Inequality and poverty in Nigeria. This is of immense relevance to the poverty reduction developmental policies.

To test the theoretical hypothesis on the relationship among poverty, inequality and economic growth, the study used the system dynamic panel data model that allows researcher and policy makers to understand  the dynamics and adjustments of economic  variables. Dynamic panel data modeling has proved to be relevant and useful for understanding economic interactions between  markets  and  agents  in  a  complex  world   knowing  fully  that  many  economic relationships are dynamic in nature. It avails us the opportunity of exploring the cross-sectional and the time-series changes in growth and inequality as well as their impact on poverty.

Our research result is, therefore, expected to provide a quantitative policy framework to tackle the poverty and inequality problem that is eating up the economy. It is also anticipated to be an essential  component  in  our  efforts  to  establish  the  basis  for  long-term  and  sustainable development in Nigeria. It will give direction towards the combination of attention to income distribution and satisfaction of basic human needs in Nigeria. It also contributed to the existing knowledge and research in macro-micro-modeling.

1.7 Scope of the Study

The   study   analyzed   the   Poverty-Growth-Inequality    Nexus   in   Nigeria   using   semi- macro panel datasets from  National  Bureau  of  Statistics  and  Human  Development  Report, Nigeria for different  years.The  study used data on poverty measured by head count index, growth measured by real per capita expenditure and  inequality captured by Gini coefficient. Other variables arehousehold size, adult literacy rate, unemployment rate and sources of water available to the people.  The thirty-six States and Abuja constituted the cross-sectional scope while the period 1992 to 2010 using 1992, 1996, 2004 and 2010 formed the time series scope. The period used for the time series was chosen based on the limitation of data availability.

1.8 Limitation of the Study

This study is limited to the availability of recent data and had the most recent data available to be the General Household Survey 2010. It also had to make use of only four years round data as these were the only available periods of the national survey. The  data  for the study were obtained  from different  sources as only one source could not  provide  us with all the data needed for the study. The data used are as published in the  various survey reportsand other secondary sources that may also be prone to lack of perfect accuracy. The study also intended to compare the possibility of the impact of different measures of poverty and inequality, but this was not possible due to lack of data.



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AN ANALYSIS OF THE POVERTY GROWTH INEQUALITY NEXUS IN NIGERIA 1992-2010

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