ABSTRACT
The aim of this study was threefold. First, the study scrutinized the role of government spending on output growth for SSA countries. SSA countries’ economic growth has been low compared to other developing regions. Empirical evidence has shown that government expenditure is a significant driver of output growth. However, SSA economic performance has largely lagged despite the increase in government expenditure. The second objective assessed the role of institutions on economic growth, while the analysed the role of institutional quality on growth among Sub-Saharan countries. The issues of institutional quality have been considered to be fundamental in explaining income variation across countries. In line with the search for the real determinant of economic growth, this work sought to analyze the tri-variate relation existing among institutional quality, government expenditure and economic growth, using a panel data analysis for 48 SSA countries 2005 to 2020. The study found a positive and significant relationship between some institutions indicators, on economic growth whereas political institutions showed a negative and insignificant effect on economic growth. Also, the empirical findings reveal a very positive and significant impact of government expenditure on economic growth and finally, structural policy institution was found to impact positively on the government expenditure outcomes throughout the period of study. Based on the findings, the study recommends a concerted effort towards sanitizing the various institutions to improve on the policy making and execution of the various countries and by implication increase economic growth in countries. Also, governments should channel their public expenditure endeavors towards the productive sector (Education, Health etc) and on the provision of the requisite developmental infrastructures. Finally, institutions play a vital role in the achievement of sustainable growth and development to come before recommendations.
TABLE OF CONTENTS
 
Cover
Page     i
Title
Page        ii
Declaration     iii
Certification   iv
Dedication      v
Acknowledgements    vi
Table of Contents       vii
List of Tables  x
List of Figures xi
Abbreviation
And Acronyms           xii
Abstract          xiii
CHAPTER ONE       1
Introduction    1
1.1        Background to the Study          1
1.2       Statement of the Research Problem       6
1.3       Objectives of the Study 7
1.4       Statement of Hypotheses        7
1.5       Significance of the Study          8
1.6       Scope of the Study      9
1.7       Organization of the Study         9
CHAPTERTWO       11
Literature
Review       11
2.1       Conceptual Issues       11
2.1.1
Government Expenditure and Economic Growth In Sub-Saharan Africa  11
2.2       Theoretical Review    14
2.2.1 Wagner’s Organic State Theory    14
2.2.2 Keynesian Theory           15
2.2.3    Crowding Out Theory  15
2.2.4    Neo-Classical Theory of Growth          16
2.2.5    Endogenous Growth Theory    17
2.2.6    Theoretical Model       17
2.3       The Efficiency of Public Spending
In Sub-Saharan Africa   20
2.4        Institutional Quality And
Economic Growth In Sub-Saharan Africa  23
2.4.1    Theoretical Model       25
2.5       Empirical Review        28
2.6
Summary Of Related Studies       40
CHAPTERTHREE   43
Research
Methods      43
3.1       Research Design         43
3.2       Nature and Sources of Data    44
3.3
Definition and Measurement of Variables           44
3.4
Models Specification        46
3.5       Methods of Data Estimation   47
3.5.1    Panel Unit Root          50
3.5.2    Co-Integration Test     50
3.5.3    Granger Causality Test           51
3.6       Diagnostic Tests         51
3.6.1    The Hansen J-Statistic Test of
Over-Identifying Restrictions            52
3.6.2    Arellano and Bond Test of Hypothesis          52
3.6.3    F-Test of Joint Significance   53
CHAPTER FOUR    54
Presentation
and Analysis of Results 54
4.1
      Descriptive Statistics  54
4.2       Pre-Diagnostic Test    58
4.2.1    Panel Unit Root Test  58
4.3
Econometrics Results       58
4.3.1
The Effect of Government Expenditure  on
Economic Growth In SSA.    58
4.4       Discussion of Findings In Relation
to Framed Hypotheses   63
4.4.1    Evaluation of Findings With Respect
to Hypotheses 1          63
4.4.2    Evaluation of Findings With Respect
to Hypotheses 2          64
4.4.3    Evaluation of Findings With Respect
to Hypotheses 3          65
CHAPTER FIVE      66
Summary,
Conclusion And Recommendations         66
5.1       Summary        66
5.2       Conclusion      67
5.3       Recommendations      68
5.4       Contribution to Knowledge    69
5.5       Implications for Future Research       70
References      71
Appendix
1: Average Growth Rate For SSA Countries    78
 
 
 
 
LIST OF TABLES
Table 1.1 Presents GDP Growth
Rate Across World Economic Regions from 1969 to 2020      3
Table
2.1:Growth-Categories of Countries In SSA (1990-2019)       13
Table2.2:
Property Rights and Rule-Based
Governance Indicator    24
Table
2.3: Summary of Literature Review     40
Table
3.1: List of Sub-Saharan African Countries     44
Table
3.2 Definition And Measurement of Variables 45
Table
4.1: Summary Statistics            55
Table
4.2: Correlation Matrix 56
Table
4.3: Unit Root Test (Augmented Dickey Fuller Test)  58
Table
4.4: Model Estimation Results (Model One)   59
Table
4.5: Model Estimation Results (Model Two)   60
Table
4.6: Model Estimation Results (Model Three) 62
 
 
 
 
 
 
LIST OF FIGURES
 
Figure
1: Trends of GDP Per Capital 2
Figure2.1: Government Expenditures In Developing Regions,1982-2020            12
Figure 2.2: Efficiency of Government Spending       21
 
 
 
ABBREVIATION AND ACRONYMS
 
ARDL             Autoregressive
Distributed Lag
CPIA               Country
Policy and Institutional Assessment
DEA                Data
Envelopment Analysis
EBA                Extreme
Bound Analysis
ECM               Error
Correction Method
EU                   European
Union
FDH                Free
Disposal Hull
FE                   Fixed
Effect
GDP                Gross
Domestic Product
GMM              Generalized
Method of Moments
GNI                 Gross
National Income
IMF                 International
Monetary Fund
OECD             Organization
for Economic Cooperation and Development
OLS                 Ordinary
Least Square
PRs                  Property
Rights
PSE                 Public
Sector Efficiency
PSP                  Public
Sector Performance
R&D               Research
and Development
RE                   Random
Effect
SDGs               Sustainable
Development Goals
SSA                 Sub-Saharan
African
SUR                Seemingly
Unrelated Regression
UCM               Unobserved
Components Methodology
WDI                World
Development Indicator
 
CHAPTER ONE
INTRODUCTION
1.1 Background to the Study
The
effect of government expenditure on cross country income variation has elicited
considerable  interest in the past
decades  (Adeleye, Gershon, Ogundipe,
Owolabi, Ogunrinola and Adediran, 2020; African Development Bank,
2020).Government intervention in the economy is necessary because private
markets do not produce efficient outcome. Therefore, market failure defined by
externalities,   incomplete markets,
information asymmetry and public goods necessitates government intervention
through fiscal policy (African Union and OECD,
2021). Government involvement in the economy through public spending could
either enhance or retard economic growth.
Literature
that explored the effect of spending on output growth have largely remained
ambiguous. One strand of literature posits that productive spending accelerates
growth while unproductive spending is growth retarding (Landau, 1985; Ram,
1986;  Alekhina and Ganelli, 2020; Apiko,
Woolfrey and Byiers, 2020).However, most of Sub-Saharan
African (SSA) countries have experienced
dwindling economic performance since independence despite increase in
government expenditure (Ghura & Hadjimichael,
1996;Gyimah-Brempong&Traynor,1999; Argent and Begazo, 2015; Ayegba, 2015;
Balistreri,  Maliszewska, Osorio-Rodarte,
Tarr and Yonezawa, 2018).
Government
expenditure policies that maintain sustainable economic growth remain key
objective that governments pursue. Efficient resource allocation, distribution
and stabilization are also important in the  
realization of fiscal discipline that improves the economic growth of a
particular country (Afonso et al., 2006).
A sound fiscal policy significantly contributes to stable economic environment
which creates expectation in the economy which foster long run income growth of
a country (Afonso, Schuknecht and Thone, 2005; Cournède, Jean-Marc, and Peter,
2018).
SSA
countries have experienced underdevelopment and low economic growth. This
perception is supported  at  the  
aggregate level by  low average
income per person and low average growth rates of income over the last several
decades (Garner, 2006; World Bank, 2018).
Table1.1 presents GDP
growth rate across world economic regions from 1969 to 2020
 
  | 
     
   | 
  
   Average Growth 
  1969 to 1979 
   | 
  
   Average Growth 
  1980 to 1999 
   | 
  
   Average Growth 
  2000 to 2021 
   | 
 
 
  | 
   World 
   | 
  
   4.35 
   | 
  
   2.84 
   | 
  
   2.9 
   | 
 
 
  | 
   East Asia Pacific 
   | 
  
   5.43 
   | 
  
   4.36 
   | 
  
   4.48 
   | 
 
 
  | 
   Latin America 
  Caribbean 
   | 
  
     
  6.08 
   | 
  
     
  2.44 
   | 
  
     
  2.67 
   | 
 
 
  | 
   Middle East 
  North Africa 
   | 
  
     
  8.78 
   | 
  
     
  2.27 
   | 
  
     
  3.91 
   | 
 
 
  | 
   South Asia 
   | 
  
   3.27 
   | 
  
   5.51 
   | 
  
   6.64 
   | 
 
 
  | 
   Sub Saharan 
  Africa 
   | 
  
     
  4.77 
   | 
  
     
  1.711 
   | 
  
     
  4.81 
   | 
 
Table1: GDP   growth across world regions
Source:
World Development Indicators, GDP growth (annual percent), 2021.
 
Table
1.1 illustrates that over the period 1969-1979; SSA GDP growth rate averaged
4.77percent which is slightly higher than both the world annual growth rate and
South Asia countries. However, between 1980 and 1999, SSA recorded an average
GDP growth rate of1.711 percent. This implies that SSA was falling further
behind the South Asian region and the OECD countries. However, the period from
2000 to2020, Sub-Saharan Africa recorded an improvement in GDP growth, but this
was still below the South Asian countries’ growth rate.
In
explaining slower economic growth in SSA, Graner (2006) postulates that lower
capital  formation  and lower secondary school enrolment, and
higher population growth rates explain poor economic performance in SSA.
Artadi  et al. (2004) and Amusa
&  Oyinlola, (2019).  assert that high fertility rate; low
education level and low investment rates contribute to dwindling economic
growth in SSA. Despite the   low
investment rates in   Africa relative to
other undeveloped regions,  low
investment in itself cannot explain the slow output growth. This is because the
productivity of investment in Africa is low (Devarajanetal.,2003).
Sachsetal
.(1997) in contrast argued that SSA’ s slow economic growth is attributed to
Dutch-
disease,
limited access to oceans, misaligned trade policies, inadequate savings, lack
of market-supporting institutions and demographic factors.  SSA can only experience good economic
performance if the problem of Dutch-disease costs and prevalence of disease and
lower life expectancy are addressed (Sachsetal., 1997).
Various
studies have explained the poor economic growth in SSA. Macroeconomic policies
that encourage human capital development and lower population growth can
stimulate African economic growth (Ghura & 
Hadjimichael, 1996). However, low human development, low investment   rates or high population   growth rate cannot entirely contribute to
poor economic growth in SSA. Higher investment alone in Africa would not
enhance faster GDP growth (Devarajan , Easterly, & Pack, 2003; Dreher,
Fuchs, Parks, Strange, & Tierney, 2021). According to Devarajan (1996), a
country’s economic performance depends on whether it adopts productive or
unproductive public expenditure
What
could be the possible causes of poor economic growth in SSA? Governance has
been cited by many authors to be the root cause of Africa’s poor performance.
For example, high degree of ethnic and linguistic diversity found in most
African nations contributes to poor governance and low growth (Easterly &
Levine, 1997). Allocation of public resources alone may not necessarily result
to efficient outcome if institutions entrusted with the budgetary process are
not optimal in resource allocation (Rajkumar 
&  Swaroop, 2008).  This illustrates those poor institutions
contribute   significantly   to  
low income in SSA which discourage growth.
Despite
poor economic performance of SSA countries, Botswana is an example of success
story   in Africa. WDI (2000) showed that
Botswana had income per capita of $5,796 in 1998, which was almost four times
average African income per capita. For the  
periods 1965 to1998, Botswana’s income per capita grew 7.7 percent
annually (WDI 2000). According to Acemoglu,   Johnson and Robinson (2002), Botswana
achieved robust economic growth because it embraced better institutions than
other African countries. Good Institutions provide an environment for property rights (PRs)
protection, enhance political stability and cushion   investors  
against interference from political elites. In contrast, Democratic
Republic of   the   Congo 
(DRC)despite having large mineral deposits has remained  underdeveloped. Therefore, poor governance
arising from corruption   that   distorts 
economic  incentives, can   lead to low investment and the inefficient
use of resources (Udah, & Ayara, 2015).
The
problem then is seen not as one of the resource constraints in SSA but rather
institutional   weakness and poor
policies. Institutional quality includes civil and political liberties, extent
of corruption, political stability, public sector efficiency, regulatory
framework and economic   freedom.
Governance should be seen as a function of the country’s institutions which
implies that good institutions translate into good governance and policies,
transparency and accountability. This paves way to allocation efficiency and
visionary leadership. 
According
to Vitola, & Senfelde (2015) institutional checks and balances that renew
policy makers through elections cushion the economy against corruption and
misallocation of resources. Institutions that embrace democracy are believed to
enhance economic prosperity by providing an environment that protects PRs and
it also nurtures civil rights. This therefore provides economic players with
incentives to undertake investment which consequently enhances economic growth.
The  mixed economic activity outcome in
SSA therefore suggests that economic growth is determined by the strength of
institutional variables.
This study
therefore examined whether government spending has significant impact on output for SSA
countries. Secondly, the study analyzed the efficiency of spending and
the determinants of efficiency of government spending for SSA countries. Lastly,
this thesis examined the link between output and institutional quality. This
thesis is motivated by two reasons. First, public expenditure for SSA has been
increasing over the years yet there
exists mixed economic performance among SSA countries. For instance, some SSA countries like Botswana and Mauritius experience positive economic performance. However, some countries
in SSA do experience shrinking or stagnated economic growth. The DRC had
the worst growth performance which averaged -2.83 percent so that GDP per capita
in 1996 was less than third of the 1961 level. Although endowed with substantial
mineral resources, theDRC suffered from years of economic mismanagement and civil  strife. Secondly, good institutions are vital for economic performance. Developing
countries have not reached the levels attained by other regions despite
advocating for democracy. Lastly, policy makers need to be informed of the
status and source of inefficiency of public spending for SSA
countries so as to identify the channels through which wastages of government expenditure
occurs.
1.2   Statement of the Research Problem 
Several
research papers that involve output growth and government expenditure for
SSA have been conducted. The findings have remained inconclusive on whether spending significantly
retards or enhances output growth. The decline in output growth resulting
from state spending is attributed to crowding out phenomenon. Provision of
public goods
through domestic borrowing could lead to a decrease in private sector. However, this understanding of crowding out does not consider the efficacy of public expenditure (Rajkumar and Swaroop, 2008;
Fasan, 2018; Iheonu, Ihedimma and Onwuanaku,
2018). In contrast, it is argued that resources alone are not enough but the institutional
capacity i.e., nature of structure and policies and institutional quality are
also important drivers for economic growth.
Improving the quality of institutions could boost Sub-Saharan African’s output growth by 0.9
of a percentage (International Monetary Fund (IMF), 2020). However, very few
SSA countries have managed to better their institutional quality. Some countries in SSA
are experiencing political strife, mega corruption scandals and poor
implementation of
budgetary policies i.e, DRC, Kenya, and Central African Republic (CAR). Consequently, an important issue in public sector expenditure is
whether an improvement in institutional quality can help in ameliorating public spending
on economic growth in SSA. Although increased public spending as a form of
fiscal policy can spur economic growth, efficient outcome can
be achieved with well-functioning institutions.
Existing
empirical research which analyzed the function of institutional quality on
output growth in SSA have produced conflicting results (Fuje, 2008; Olutwatoyin
and Folassade,2014; Kilishi et al.,
2013). However, institutional quality, public expenditure and economic growth
are interlinked. Understanding how public spending impact economic growth
and exploring the role institutions play on growth is important for various
reasons. The
finding will add to literature on the role institutional quality plays on output growth in SSA. Additionally,
if institutional quality influences economic growth, then government
decision making unit should shift their focus to policies that strengthen
institutional variables and institutional reforms in SSA. Lastly, knowledge on
the status of efficiency and sources of inefficiency of government spending is
important for government in designing programs that realize
optimal resource allocation.
This
thesis therefore answered the following questions. (1) What is the effect of
public expenditure on output growth in SSA? (2) What is the status of efficiency
of public spending in SSA? (3) How does institutional quality affect economic
output growth in SSA? These three questions formed the research gap that this
paper addressed.
1.3   Objectives of the study 
The
core objective of this study is to implicitly investigate the relationship
between institutional quality, government expenditure and the performance of
Sub-Sahara Africa countries. The specific objectives of this thesis are to:
i.            
examine the relationship between government expenditure
and economic growth in SSA
ii.          
investigate the relationship between institutional quality and
government expenditure in SSA
iii.        
ascertain the relationship between institutional quality and economic growth in SSA
1.4   Statement of Hypotheses
i.     There is no significant relationship between
government expenditure and economic growth in SSA
ii. There is no significant relationship between institutional
quality and government expenditure in SSA
iii There is no significant relationship between institutional
quality and economic growth in SSA
1.5   Significance of the study
Researchers
and policy makers around the globe are concerned with the poor output
growth witnessed in SSA despite the increase in government expenditure. Various
remedies have been proposed ranging from strengthening institutions, offering economic stimulus and productive
spending that reduces wastages. However, SSA growth prospect has
remained dimmed compared to other economic regions. This thesis contributes significantly by performing
disaggregated analysis of various components of government expenditure
and how these components individually impact on SSA economic growth.
The
relevance of this study also anchors on the classification of SSA countries
into low-income and middle-income countries. We examined the effect of
government expenditure onoutput growth for each category of low and middle
income SSA countries. Low and middleincome SSA countries might respond
differently to various proposed policies that are gearedtowards alleviating
economic growth. This study takes cognizance of this and therefore drawspoliciesfromthe
studythatare unique tolow- and middle-income countries.
The
study may contribute in the SSA growth discourse by analyzing spending
efficiency and the sources of inefficiency in government expenditure. SSA
countries need to know the status of the efficiency of government spending. This
would be important for each country
to optimize output with the given level of limited resources. Only a study
by Gupta and Verhoeven (2001) examined spending efficiency for Africa. However, no study has investigated
the sources of inefficiency of spending for SSA countries. This paper
therefore bridges this knowledge gap by scrutinizing the determinants of
efficiency of government spending for SSA countries. Knowledge on the efficiency
of governmentexpenditureissignificantforgovernmentpolicyactorstoimplementvariouspoliciesthatreduceonwastefulnessinspending.
1.6   Scope of the Study 
This study will be a panel analysis on the relationship between
institutional quality, government expenditure and performance of countries
within Sub-Saharan Africa. The data will span from 2005 to2020 and this is
owing to the availability of data. The variables to be considered
aregovernmentexpenditure,publicdebt,institutionalqualityindicator,GrossDomestic
Product, and institutional quality dataset. The index chosen to measure the
quality ofinstitutions will come from the country
policy and institutional assessment (CPIA),
fromthe World Bank. It includes: a) economic management, b) structural
policies, and c)publicsectormanagementandinstitutions(covering;propertyrightsandrule-basedgovernance,qualityofbudgetaryandfinancialmanagement,efficiencyofrevenuemobilization,
quality of public administration and transparency and accountability,
andcorruptionin thepublicsector). These are subsumed into the six (6) broad
dimension of governance which include Voice and Accountability, Political
Stability and Absence of Violence/Terrorism, Government Effectiveness,
Regulatory, Quality, Rule of Law and Control
of Corruption.
Equally,
the study will assess the effect of each of indices of institutional quality on
economic growth. Policies to remedy SSA economic growth will
therefore be unique to each component of government expenditure
and the indices of institutional quality.
1.7   Organization of the Study 
This
study is divided into five chapters. Chapter one consists of the introduction
to the study. Chapter two covers the literature review. Various research work
related to the study will be examined with a remarkable conclusion drawn from
them. Chapter three is the research methodology which presents different statistical
and econometric tools used to test the hypothesis of the model. Chapter four
discusses the data presentation and the analysis of result generated from the
research. Chapter five takes the account of the summary and conclusion, main
contributions of the Study, policy implications and recommendations,
limitations of the study and suggestions for further research.
                  
                 
                
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