HEALTH FINANCING AND ECONOMIC DEVELOPMENT OF NIGERIA AND GHANA

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ABSTRACT

 

Health financing has enjoyed significant academic research visibility in recent years and experts judge that this will continue for many coming decades. Accordingly, this study investigated the impact of health financing on economic development of Nigeria and Ghana. The specific objectives were to; ascertain the effect of health financing on real gross domestic product of Nigeria and Ghana, examine the influence of education financing on real gross domestic product of Nigeria and Ghana, determine the impact of per capita health on real gross domestic product of Nigeria and Ghana, assess the effect of health financing on school enrolment of Nigeria and Ghana, assess the effect of health financing on life expectancy of Nigeria and Ghana. In order to achieve these objectives, the study adopted data covering the period of 1986 – 2018, and utilized Panel Data regression analysis as the data analysis method incorporating Unit root test, and co-integration. Health financing (HFIN), Education Financing (EFIN), and Per Capita Health (PCAH) were the independent variables, while Real Gross Domestic Product (RGDP), School Enrolment (SCHE), and Life Expectancy (LEXP) were the dependent variables. The result reveals that the independent variables have mixed relationship with RGDP in both countries. This is a pointer to the fact that an increase in the level of healthcare financing in Nigeria and Ghana will bring about a level of productivity in the nations when all strategic indices are well considered. The study concludes that the  mixed coefficients that exists among the health financing variable as it relates to economies of Nigeria and Ghana call for financial strategy adjustment in order to explore the potential growth virtues embedded in the health sector that are starved of fund, and therefore recommends that there is need for continuous financing into the health sector of the countries in order to achieve the desired significant effect necessary to boost economic productivity in the countries. Education financing from our study showed positive coefficient and significant effect. We advocate for increase in education financing as the variable sustained significance after incidental increment to 30 percent. Furthermore, the study advocate that health expenditure in the countries should consider the population size during implementation. Furthermore, the study advocate for the creation of a continuous literacy and research advancement by government in the nations that will enable smooth transfer of knowledge and promote innovations at various level of production in the countries. Finally, effective and efficient access to health care services, health infrastructure and enlightenment is advocated to address the issue of varying life expectancy in the countries.






TABLE OF CONTENTS

Title Page                                                                                                                    i

Declaration                                                                                                                 ii

Certification                                                                                                                iii

Dedication                                                                                                                  iv

Acknowledgments                                                                                                      v

Table of Contents                                                                                                       vi

List of Tables                                                                                                              ix

List of Figures                                                                                                             x

List of Appendices                                                                                                      xi

Abstract                                                                                                                      xii

CHAPTER 1:  INTRODUCTION                                                                             1

1.1       Background to the Study                                                                                1

1.2       Statement of the problem                                                                               5

1.3       Objectives of the study                                                                                   8

1.4       Research questions                                                                                         8

1.5       Research hypotheses                                                                                       9

1.6       Significance of the study                                                                                9

1.7       Scope of the study                                                                                          10

1.8       Limitations of the study                                                                                  10

1.9       Operational definition of terms                                                                      11

CHAPTER 2: REVIEW OF RELATED LITERATURE                                          14

2.1       Conceptual Framework                                                                                  14

2.1.1    Conceptual review                                                                                          15

2.1.2    Concept of health financing                                                                           15

2.1.3    Health capital                                                                                                  17

2.1.4    Importance of healthy society in a country                                                    19

2.1.5    Economic welfare and health care awareness                                                22

2.1.6    Contribution of health sectors for past decades                                              24

2.1.7    Economic impact of ‘cost of illness’ COI                                                      26

2.1.8    Water, sanitation and hygiene                                                                        28

2.1.9    Health situation analysis in Nigeria                                                               30

2.1.9.1 Geographic, political and demographic features                                            30

2.1.9.2 Health situation analysis in Ghana                                                                 32

2.1.9.3 Geographic, political and demographic features                                            32

2.1.9.4   Healthcare system in Ghana                                                                                                33

2.1.9.5 Socio-economic features                                                                                34

2.1.9.6 Economic performance                                                                                  34

2.1.9.7 Employment/unemployment                                                                          34

2.1.9.8 Poverty                                                                                                            35

2.1.9.9 Education                                                                                                        35

2.1.9.10 Water and sanitation                                                                                     36

2.1.9.11 The environment                                                                                           36

2.1.12 Major causes of the disease burden                                                                37

2.1.13  Health financing in Nigeria and Ghana                                                          38

2.1.14  Health information system (HIS)                                                                   41

2.1.15 Community-based health insurance                                                                42

2.1.15.1 Weaknesses and strengths of community-based health scheme                        43

2.1.15.2 Strengths of community-based health scheme                                             44

2.1.15.3 Weaknesses of community-based health scheme                                         46

2.1.16    Relationship between health and growth                                                      50

2.2       Theoretical Framework                                                                                 53

2.2.1    Exogenous growth theory                                                                               53

2.2.2    Health inequality theory                                                                                 55

2.2.3    Grossman health theory                                                                                  57

2.3       Empirical Review                                                                                           59

2.4       Summary of Related Literature                                                                      92                       

2.5       Gaps in Literature                                                                                           106

CHAPTER 3: METHODOLOGY                                                                              108

3.1       Research Design                                                                                             108

3.2       Area of study                                                                                                  108

3.3       Population of the study                                                                                   109

3.4       Sources of Data                                                                                              109

3.5       Model Specification                                                                                       109

3.6       Operational Measures of Variables                                                                113

3.7       Method of Data Analysis                                                                                115

CHAPTER 4: DATA PRESENTATION, RESULTS AND DISCUSSION                         119

4.1       Presentation of Data                                                                                       119

4.2       Data analysis – Nigeria data                                                                           121

4.2.1    Data analysis – Ghana data                                                                            128

4.3       Panel Result                                                                                                    135

4.4       Hypothesis Testing                                                                                         140

4.5       Discussion of Findings                                                                                   144

CHAPTER 5: SUMMARY, CONCLUSION AND RECOMMENDATIONS        150

5.1       Summary of Findings                                                                                     150

5.2       Conclusion                                                                                                      152

5.3       Recommendations                                                                                          153

5.4       Contribution to Knowledge                                                                            154

5.5       Suggestion for Further Study                                                                         140

References                                                                                                                  156

Appendices                                                                                                                 163

 

 


 

LIST OF TABLES


2.1:     Summary of Related Literature                                                                       92

3.1:     Variables Operationalization                                                                           114

4.1:     Presentation of Data for Nigeria and Ghana                                                   119

4.2:     Descriptive Statistic – Nigeria                                                                         121

4.3:     Summary of Unit Root Tests Result                                                               122

4.4A:  Result for Johansen Co-integration Test                                                         123

4.4B:  Result for Johansen Co-integration Test                                                         123

4.4C:  Result for Johansen Co-integration Test                                                         124

4.5A:  OLS Regression Result                                                                                    125

4.5B:  OLS Regression Result                                                                                    125

4.5C : OLS Regression Result                                                                                    126

4.6:     Descriptive Statistics – Ghana                                                                         128

4.7:     Summary of Unit Root Tests Result                                                               129

4.8A:  Result for Johansen Co-integration Test                                                         130

4.8B:  Result for Johansen Co-integration Test                                                         130

4.8C:  Result for Johansen Co-integration Test                                                         131

4.9A:  OLS Regression Result                                                                                    132

4.9B:  OLS Regression Result                                                                                    132

4.9C:  OLS Regression Result                                                                                    133

4.10:   Hausman Test Result                                                                                       136

4.11A: Fixed Effects Model                                                                                       137

4.11.B: Fixed Effects Model                                                                                      137

4.11.C: Fixed Effect Model                                                                                        138

4.11.D: Fixed Effect Model (Simulation)                                                                  138

4.12: Health financing has no significant effect on real gross domestic

         product of Nigeria and Ghana                                                                           140

4.13: Education financing has no significant influence on real gross

         domestic product of Nigeria and Ghana                                                            141

4.14: Per capita health has no significant impact on real gross domestic

         product of  Nigeria and Ghana                                                                          141

4.15: The effect of health financing on school enrolment of Nigeria and

          Ghana is not significant                                                                                    142

4.16: Health financing has no significant effect on life expectancy of

          Nigeria and Ghana                                                                                            142

 

 

 

 

 

LIST OF FIGURES

 

2.1: Connection between Health Financing, Health status & Economic Development  14

2.2:  Nigeria Population Structure                                                                       31

2.3: Health Financing in Nigeria                                                                                     39

2.4: Health Financing in Ghana                                                                                       40


 

 

 

 

 

 

 

 

 

APPENDICES


1: Data for Nigeria and Ghana                                                                                   163

2: Descriptive statistics – Nigeria                                                                               166

3: Unit root                                                                                                                 167

4: Johansen Co-integration                                                                                         176

5: Granger causality                                                                                                    181

6: OLS regression                                                                                                       182

7: Ghana: Presentation of data                                                                                   184

8: Descriptive statistics – Ghana                                                                                185

9: Unit root                                                                                                                 186

10: Co-integration                                                                                                      195
11: Granger Casualty                                                                                                  200

12: OLS                                                                                                                       221

13: Panel                                                                                                                     203

14: Fixed                                                                                                                     205

15: Random                                                                                                                207

16: Hausman                                                                                                               208

17: Panel Descriptive                                                                                                  209

18: Simulation                                                                                                            210

19: Graph Nigeria and Ghana Health Financing                                                        215

 

 

 

 

 

 

 


 

CHAPTER 1

INTRODUCTION


1.1       BACKGROUND TO THE STUDY 

Health financing has enjoyed significant academic research visibility in recent years and experts judge that this will continue for many coming decades.  This is a consequence of the pressure being exerted on the government of various nations by relevant authorities regarding the sustainability of increased health financing (Hansen and King, 2017). The World Health Organization (WHO) defines health as a “state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.” Some of the main featured of health are that it impacts society’s welfare, it cannot be manufactured by people or households, it is non-transferable, it cannot be traded and it is scarce (WHO, 2016). On the other hand health financing involves the basic functions of collecting revenue, pooling resources, and purchasing health goods and services (Bloom, David and Jaypee, 2017).

The OECD (2010) posits in a study that health expenditures when compared to nation’s total expenditures and Gross Domestic Product (GDP) has being on the increase in some nations, while others are yet to adjust to the reality of the relevance of healthcare to the economy, and allocate sufficient fund to the health sector. In developing economies like Nigeria and Ghana, public health expenditures has experienced upsurge since the millennium. In the year 2000, Nigeria as a country had a total health expenditure of N15.2180 billion which accounted for 3.29% of the total expenditure. This increased to N34.1984 billion and N90.245 billion in 2004 and 2009 respectively accounting only for 3.079% and 4.24% of the country’s fiscal expenditure. In 2018, the country’s health expenditure stood at N296.44 billion, which accounted for only 5.22% of the total expenditure (CBN, 2018).

The situation is not significantly different in Ghana. In the year 2009, Ghana had a total health expenditure of ȼ153.483 million which accounted for 1.86% of the total expenditure. This increased to ȼ752.809 million accounting only for 2.74% of the country’s fiscal expenditure. In 2018, Ghana’s health expenditure stood at ȼ1.967428 billion, which accounted for only 3.43% of the total expenditure (MFG, 2018). This uptrend in health financing and its low percentage in the total expenditure of countries has been largely attributed to continuous rise in the population (Bakare and Olubokun, 2017). It is beneficial to ask whether the increased funding in the sector is earning adequate long-term social and economic rewards to the nation. Most countries of the world have in the recent times witnessed progress in health as measured by increses in these health parameters. Socioeconomic changes through globalization are likewise pressing factors that led to such crucial attention on health. It is important that nations of the world must deal with it beacause it affects productivity and economic development.

Health sector services include the entire activities that deal with identification and control of diseases or the publicizing, protection and reinstatement of health. It involves public and private health services. Thus, health service delivery designates the approach with which involvements such as finance, workforce, equipment and medicine are combined to enable the delivery of health intermediations (Adisah-Atta, 2017). Consequently, accessibility, treatment and quality of services anchors on these fundamentals; on the deportments of services and management, and on inducements prompting suppliers and consumers (WHO, 2016). Hence, it is indisputable that healthy communities have notable effects on economic activities of a nation since it is a fact that the longer people live, the more productive they will be.

There is a bi-directional interaction between a nation’s populace health status and its economic growth level and development as reported by Kurt (2015). Sustaining a high level of growth and development creates the atmosphere for enhanced nutrition and sicknesses treatment opportunities with improved medical technology. Such a state enables better health conditions and promotes percentage of healthy people in the nation. Considering the fiscal expenditure on health, increased allocation of fund to the health sector through its multiplier effect increases aggregate production and demand. However, sick people are rather inefficient and serve as great burden to their families and communities. This leads to reduction in production and inhibits productive utilization of a nation’s infrastructure and investment towards greater advancement (Temitope and Bola, 2013)

Having good health and longevity is an essential need of human beings. Generally healthy individuals are more energetic, vibrant and have more affective outlook of life. These characteristics are not only translated into positive influence for social activities, but also affect the economic growth and development. Recent global challenges such as globalization, technological innovation, health issues and other socio-economic reasons have led the national and international communities to highlight the fundamental needs of society. Beside other human capital resources, health financing is one of the important factors that can positively influence the economy. Literature on Health financing is scanty when compared to other human capital such as education, labour-training and production etc. Although these are somehow interdependent, focusing on one of these human capital elements translates the other. Many studies have been conducted on health financing in relation to the investments on education, job training, labour productivity and importance of healthy nutrition’s for human body. However, the basic ideas surrounding these studies are their possible effects on economic growth as well as return on investments in relation to health capital. The role of human health capital is regarded crucial to sustainability of economic growth. As sustained growth depends on considerable levels of human health, stocks of human capital increases as a result of higher levels of health, better quality of education, and new training and learning procedures. Education and health are considered important indicators for a country economic growth and development, however labour force with the lower levels of education and poor health status results drives the economic growth in long run (OECD, 2015). Most of the developing countries are not capable of maintaining a sustainable economic development. However it is evident that the increase in investments on health implies higher levels of human capital. Together these variables systematically lead to high levels of development. These changes are the effect of increase in investments. A healthy skilled labour force finds it much easier to innovate, use, create and adapt new technologies (Yaqub, Ojapinwa and Yussuff, 2016).

Poor and developing countries have lower levels of human health and find it more difficult to compete in developmental activities and labour force participation with those nations which have comparatively more developed human health capital resources. So in order for those poor economies to come to developed countries levels of human capital they need to begin converging their levels of human capital with those of richer nations (Swift, 2017).

Good health is an essential factor in well-being of the society. As a result, improvements in health capital can correlate to growth in economies (Matteo and Sunde, 2016). It seems rational assumption that good health promotes higher levels of human capital and therefore in return has positive impact on economic productivity of individuals and a country`s rate of economic growth. Good health improves the workforce ability, reducing incapability, and increases market and non-market performance of individuals and also affects the days lost while being sick. Individuals of the society get more and more opportunities to get enrolled for paid jobs and their productivity will be much better compared to unhealthy workforce of other countries. Furthermore, better health leads to improved levels of education by increasing level of education and higher schooling performances. This is also an important factor, considering education as one of the main drivers of resources allocation which would otherwise be used for preventative treatments for health, thus it substitutes the uses of health capital for negative externalities such as poverty rate of society. An adequate understanding of health and increased wealth accumulation is essential in order to comprehend the causal relationship between these two aspects that promote the standard of living in of a society (Nyamwange, 2012).


1.2       STATEMENT OF THE PROBLEM

Since health capital plays an important role in economic outcomes and health is an essential factor of human capital, health also improves economic output. Many studies on micro level have investigated the effect of health on wage rate with mixed results taking from the findings of Okoroh, Essoun, Seddoh, Hobart, Joel, Dsane-Selby, and Riviello (2018) and Mawuli and Alistair (2017). A closer view of the mixed finding from past scholars reveals that most of the studies focus on developed nations with less literatures on the relevance of health capital and financing on developing economies. Different health indicators are used and range of different measures such as height, weight and body mass index, and other measures that were based on individual survey reports such as self- assessments regarding health status, whether these individuals are suffering from any particular chronic illness. These surveys conclude that healthy workers have lower chances to get chronic diseases and they are active and the impact is understandable from their high productive energy and earnings. However as always there were problems related to these kinds of studies which are normally related to measurement errors capturing individual’s health status, the heterogeneity of the variables and the diverse feedback among them.

Health is acknowledged to be a critical factor that drives welfare and sustained economic and social development. People rate health as one of their highest priorities. Indeed Health has become as important as any other economic and social concern, such as unemployment, low wages and high cost of living. As Matteo and Sunde (2016) noted the most basic human capabilities include leading a long life, being knowledgeable and enjoying a decent standard of living. Existence of health related issues distort many aspects of the economy, and if not covered at a certain level can cause damages to the economic empowerment of the country. A country losing its health capital can imperciptibly create long as well as short-term gaps in the gross domestic production in the country. Health financing has become widely used in health and financial sector because it provides concepts and techniques that can help relevant authorities to plan, allocate and manage health resources in order to efficiently and equitably meet the health needs of the population. Moreover, the evidence that can be generated using the discipline of health financing can be useful in determining the amount of a country’s gross domestic product that should be allocated to health sector. This has led to increased funding by governments around the world.

In Nigeria, despite the increased government spending on the health sector from N0.134124 billion in 1986 to N254.2300 billion in 2016, a thorough review of the increased expenditure when compared to RGDP pose a great concern to policy makers and various stakeholders. In 1986 the health expenditure percentage to RGDP was 0.07%, this grew to 0.22% by the year 2000, while in 2018 the percent of health expenditure to RGDP is only 0.23%. The Ghana government has also increased spending on health care services. However, the increased expenditure when compared to RGDP is worrisome and need further investigation. In 2009, the country’s health expenditure percentage to RGDP was 0.07%, this increased to 0.41% by the year 2013, while in 2018 the percent of health expenditure to RGDP was only 0.49%. Efforts by the government to ensure equitable provision of quality public health services have been hampered by a host of factors. These factors include inadequate funding to cater for the growing population; ineffective management of already available resources to the health sector, supporting health care advances in curing diseases and prolonging life expectancy (Bakare and Olubokun, 2017).

Health has been considered as an effective indicator of economic development as acknowledged by WHO Commission of Health Department. According to the Commission, ill health undermines economic developments and exerts poverty. Investments in health are essential for economic growth and should be a key component of national development strategies (Abdul-Azeez and Zurina, 2015). They propose the idea for achieving the goals of health improvements by focusing on health regulations in the least developed and poor nations. In every culture the concept of health is stated in a context that health is wealth in a more influential intellect as well. It is the basic need of individuals as well as families, for whom health bring the ability for personal development and economic wellbeing in the coming future. This study therefore assesses the impact of health financing on developing economy with particular reference to Nigeria and Ghana.

 

1.3       OBJECTIVES OF THE STUDY

The main objective of the study is to investigate the impact of health financing on economic development of Nigeria and Ghana.  The specific objectives are to;

      i.         ascertain the effect of health financing on real gross domestic product of Nigeria and Ghana.

     ii.         examine the influence of education financing on real gross domestic product of Nigeria and Ghana.

   iii.         determine the impact of per capita health on real gross domestic product of Nigeria and Ghana.

   iv.         assess the effect of health financing on school enrolment of Nigeria and Ghana.

     v.         assess the effect of health financing on life expectancy of Nigeria and Ghana.

 

1.4       RESEARCH QUESTIONS  

The following research questions were formulated to guide the study;

      i.         How has health financing affected real gross domestic product of Nigeria and Ghana?

     ii.         What are the effects of education financing on real gross domestic product of Nigeria and Ghana?

   iii.         What are the effects of per capita health on real gross domestic product of Nigeria and Ghana?

   vi.         To what extent does health financing effects school enrolment of Nigeria and Ghana?

  vii.         What are the effect of health financing on life expectancy of Nigeria and Ghana?

 

1.5       HYPOTHESES

Sequel to the objectives of the study above, the following tentative statements stated in null form were tested in the study;

HO1:   Health financing has no significant effect on real gross domestic product of Nigeria and Ghana.

HO2:   Education financing has no significant influence on real gross domestic product of Nigeria and Ghana.

HO3:   Per capita health has no significant impact on real gross domestic product of Nigeria and Ghana.

HO4:   The effect of health financing on school enrolment of Nigeria and Ghana is not significant.

HO5:   Health financing has no significant effect on life expectancy of Nigeria and Ghana.

 

1.6       SIGNIFICANCE OF THE STUDY

The beneficiaries from the study include Researchers, Economics Analyst, Government etc.

Researchers

The findings of this study is significant and of great assistance to scholars by adding to the number of existing literatures in health finance, in so doing aid future research. It also provide insight to potential researchers who wish to carryout studies relating to the role of health financing on the development of transition economies.

Government

The findings of this study is useful to government as well as policy makers by providing insight on the nature of the relationship between health financing and developing economies, and serve as evidence on the deterrents of health financing on economy.

Economic Analysts

This study is another explanation to economic analysts on the heterogeneity that exist in various sectors of developing economies, and possible actions taken by the affected economies in reducing or increasing such uneven development. It guides this group in proper economic analysis with respect to minimizing health financing risk.

Medical Practitioners

This study is an important source of information to medical practitioners by providing empirical evidence of the state of health care services in the countries, and the need for medical practitioners to provide adequate care services for various stakeholders in the countries.

 

1.7       SCOPE OF THE STUDY

This study examined health financing and economic development of Nigeria and Ghana. The study used a time series data covering the period of 33 years (1986 – 2018) from Nigeria and Ghana in order to understand the trend in health financing across the countries and provide empirical evidence over the long period. The study data started from 1986 in order to capture the long term effects of health financing in the two countries.    

 

1.8       LIMITATIONS OF THE STUDY

The study limitation was collection of data for analysis. Yet the researcher was determined to take up the responsibility since the data used were secondary data from bureau of statistics and the Central Bank Statistical bulletin of Nigeria and Ministry of Finance website of Ghana and World Bank Data sites. Another limitation envisaged during the study was the level of heterogeneous result from past studies in terms of uniformity. Other limitations include combining the research with other socio-political activities in other to balance the researchers’ relationship with loved ones and also ensuring not to deter the quality of the research. 

 

1.9       OPERATIONAL DEFINITION OF TERMS

The variables used in this study were selected based on established theories, evidence from past studies, and availability of data. The study focused to show the impact of health financing on economic development, thereby making the health financing the independent variable and economic development the dependent variable.

The dependent and independent variables are describe below; 

(i)             Real Gross Domestic Product (Dependent Variable)

Real Gross Domestic Product (RGDP) – It is a total output of the country measured in naira. It is calculated with considerations on depreciations and depletions or environmental factors into consideration.

(ii)           Health Financing (Independent Variable)

Health Financing (HFIN) – is the total public health spending by government, includes recurrent and capital investments of government which accounts the proportion of local budgets, grants and other external borrowings. The out-of-pocket investment are also included in the estimation of health expenditures, borrowings from non-governmental organizations and international agencies. It covers the health provisions, activities of family planning, preventive or curative health services and also nutrition activities. However it excludes water and sanitation expenditures.

(iii)               Education Financing (Independent Variable)

Educational Financing (EFIN) – Education expenditure includes operating expenditures in education, current wages, salaries but capital investments in equipment and buildings are excluded from in the weighted average calculation.

(iv)       Per Capita Health (Independent Variable)

Per Capita Health (PCAH) – This is the ratio of the total health expenditure on population of the country per head over the period of study. It is expected that an increase in the value of Per Capita Health increase the economic growth.

Per Capita Health =

(v)           School Enrolment (Dependent Variable)

School Enrolment (SCHE) – School enrolment rate is defined as the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. 

(vi)          Life Expectancy (Dependent Variable) 

Life Expectancy (LEXP) – Life expectancy is a statistical measure of the average time an organism is expected to live, based on the year of its birth, its current age, and other demographic factors including biological sex.

 

 

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