PUBLIC CAPITAL SPENDING, HOUSING FINANCE AND SUSTAINABLE HOUSING DEVELOPMENT: IMPLICATIONS FOR URBANIZATION IN NIGERIA

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ABSTRACT


The study was propelled by the need to have a deep assessment of how public sector capital expenditure, housing finance and sustainable housing development have impacted on the people, while assessing their implications on one of the topical issues which is the rate of urbanization in Nigeria. It also looks at extent of government involvement in housing finance and sustainable housing development in Nigeria.  The review of extant literature reveals high rate of urbanization (45% urban population ratio) with staggering implications on rent and slum formation. They were also in accord on the multi-tier distorted mechanism of applying public capital spending. Geographically Weighted Regression (GWR) methodology was adopted towards the achievement of its objectives using annual secondary data.  GWRs choice is because it attempts to capture spatial variations by allowing the regression model parameters to change over space. This undoubtedly will facilitate multi regional study of the housing sector development efforts in the country. For objective one, the study finds PCS as having a positive significant impact on SHD in Nigeria. For objective two, it was found that HFN has positive significant contribution of about 50.499% on SHD. For objective three, it was found that PCS positive significant impact on UBD in Nigeria. For objective four, it was revealed by the study’s results that HDV has positive and significant impact on UBN in Nigeria. For objective five, it was found that when FML increases its investments on housing development by ₦1billion, SHD in Nigeria would rise significantly by about 20.52449%. Based on the foregoing, the study among other things recommends that all tiers of government and their agencies should strive to increase public capital spending for more infrastructure and housing since it has a positive significant impact on sustainable housing development. More housing finance should thus be encouraged to help control the prevailing housing deficit in Nigeria while at the same time control for the adverse of urban sprawl. 






TABLE OF CONTENTS

Title page                                                                                                              i                                                                                                                                

Certification                                                                                                         ii                                                                                                                           

Declaration                                                                                                           iii                

Dedication                                                                                                            iv                                                                                                                              

Acknowledgements                                                                                              v                                                                                                                                                                                                 

Table of Contents                                                                                                 vi                                                                                                                  

List of Tables                                                                                                        x                                                                                                                       

List of Figures                                                                                                       xii                                                                                                                       

Abstract                                                                                                                xiii                                                                                                                                   

 

CHAPTER 1: INTRODUCTION                                           

1.1 Background of Study                                                                                      1

1.2 Problem Statement                                                                                         9

1.3 Research Questions                                                                                        19

1.4 Objective of the Study                                                                                    20

1.5 Hypotheses of the Study                                                                                 20

1.6 Significance of the Study                                                                               21

1.7 Scope of the Study                                                                                          22

CHAPTER 2: REVIEW OF RELATED LITERATURE                               23 

2.1 Conceptual Literature Review                                                                                 23

2.1.2 Public spending                                                                                           24

2.1.3 Housing finance                                                                                           24

2.1.4 Sustainable housing development                                                               25

2.1.5 Housing                                                                                                        26

2.1.6 Housing types                                                                                              28

2.1.7 Housing expenditure                                                                                   29

2.1.8 Urbanization                                                                                                30

2.1.9 Migration                                                                                                     32

2.1.10 Internal migration                                                                                      33

2.2 Theoretical Literature Review                                                                                 35

2.2.1 Public expenditure theory (Wagner’s Law)                                                35

2.2.2 Fiscal illusion theory (Mourao, 2008)                                                         36

2.2.4 Principle of maximum social advantage (Akrani, 2011)                             38

2.2.5 Bid rent theory (Alonso, 1968)                                                                    42

2.2.6 The Harris–Todaro model                                                                           44

2.2.7 Theory of spatial disparities (Ravi & Venables, 2005)                               44

2.2.8 Institutional framework                                                                               45

2.2.9 The sources of housing finance                                                                   52

2.2.10. Government interventions in the housing sub-sector                               56

2.2.11 Current status of sustainable housing development                                  59

2.3 Empirical Literature Review                                                                                    60

2.3.1 Housing development and housing prices                                                   60

2.3.2 Benefits of housing and problems of housing production: Nigerian studies 61

2.3.3 Public housing programmes and affordability                                            63

2.3.4. Sustainable housing development (SHD)                                                   64

2.3.5 Evidence on urbanization                                                                            67

2.3.6 Urbanization and migration                                                                         69

2.4 Identified Gap in Empirical Literature                                                                      70  

CHAPTER 3: RESEARCH METHODOLOGY                                             72

3.1 Research Design                                                                                             72

3.2 Model Presentation                                                                                         73

3.3 Justification of the GWR Model                                                                    77

3.4 Justification of the Panel Data Model                                                            78

3.5 Estimation Procedure                                                                                     78

3.6 Exploration of Local Factors Affecting Urbanisation                                    81

3.7 Sources of Data                                                                                              85

CHAPTER 4: PRESENTATION OF RESULTS AND RESULTS                     86                     

4.1 Descriptive Statistics for Variables in Objective one                                     86

4.1.1 Unit root test for variables in objective one                                                87

4.1.2 Cointegration test for variables in objective one                                         88                                               

4.2 Presentation of the GWR Model for Objective one                                       89

4.2.1 Correlation test for variables in objective one                                            92                                                     

4.3 Presentation of Model two results for Objective two                                     93

4.3.1 Descriptive statistics for variables in objective two                                    93

4.3.2 Unit root test for variables in objective two                                                94

4.3.3 Cointegration test for variables in objective two                                         95

4.3.4 Presentation of the GWR model result for objective two                            96

4.3.5 Correlation test for variables in objective two                                            100

4.4 Presentation of Model three results for Objective three                                 100

4.4.1 Descriptive statistics for variables in objective three                                  100

4.4.2 Unit root test for variables in objective three                                              101

4.4.3 Cointegration test for variables in objective three                                      102

4.4.4 Presentation of the GWR model for objective three                                   103

4.4.5 Correlation test for variables in objective 3                                                107                         

4.5 Presentation of Model four results for Objective four                                   108

4.5.1 Descriptive statistics for variables in objective four                                   108

4.5.2 Unit root test for variables in objective four                                               109

4.5.3 Cointegration test for variables in objective four                                        110

4.5.4 Presentation of the GWR model for objective four                                     111

4.5.5 Correlation test for variables in objective four                                            114

4.6 Presentation of Model five results for Objective five                                    115

4.6.1 Descriptive statistics for variables in model for objective five                              115

4.6.2 Unit root test for variables in objective five                                                117

4.6.3 Presentation of the GWR panel model for objective five                         118   

4.6.4 The Breusch-Pagan lagrangian multiplier test for random effects                123

4.6.5 Heteroskedasticity test                                                                                 124                                        

4.7 Evaluation of Working Hypotheses                                                               125                                                                                

CHAPTER 5: SUMMARY OF FINDINGS, CONCLUSION AND POLICY IMPLICATIONS                                                                                                          128

5.1 Summary of Findings                                                                                     128                                                                                                      

5.2 Conclusion                                                                                                      131                                                                                                                    

5.3 Policy Recommendations                                                                               132                                                                                            

References                                                                                                            135       

Computational Economics appendixes                                                                147                                                                               

 

 

                                    

 

 

 

 

 

LIST OF TABLES                                                        

1: Type of occupancy status per sector                                                      5

4.1: Summary of Statistics results (Objective One)                                                  86

4..1.1 Unit root result for the variables of Objective one                                         87

4.1.2 Summary results of cointegration test of the models for Objective one               88                                                                  

4.2.1  Summary results of the GWR model for objective one                               89  

4.2.2  Summary results of the correlation test  of variables for objective one                  92

4.3.1 Summary statistics result of variables of the model for objective two     93

4.3.2 Unit root test results of the variables of the model for objective two        94

4.3.3 Summary results of the cointegration test of  model for objective two    95

4.3.4 Summary results of the GWR model for objective two                                 96

 4.3.5 Summary results of the correlation test for variables objective two                     100

 4.4.1 Summary statistics result of variables of the model for objective three   101

 4.4.2 Unit root test result for the variables of Objective three                               102

4.4.3 Summary results of the cointegration test of the model for objective two    103  

4.4.4 Summary results of the GWR model for objective two                                      104

4.4.5 Summary results of correlation test for variables in objective three                   107

4.5.1  Summary statistics result of variables of the model for objective four                 108

4.5.2 Unit root test results of the variables of model for objective four                       109

4.5.3 Summary results of the cointegration test of the model for objective four                 110

4.5.4 Summary results of the GWR model for objective four                             111                               

4.5.5 Summary results of correlation test for variables in objective four                    114

4.6.1 Summary statistics result of variables of the model for objective five                 116

4.6.2 Unit root test results of the variables of model for objective five                                  117

4.6.3.1 Summary of results of the fixed effect model(Dependent variable -shd)     118

4.6.3.2 Summary of results of the random effect model(Dependent variable -shd) 119

4.6.3.3 Summary of results of Hausman model selected test                                       120

4.6.4 Summary results of Breusch- pagan langragian multiplier test for

         random effects                                                                                             124                                                                                                                                                                                                    

          

 

 

 

 

 

 

               

LIST OF FIGURES


1.1 Ratio of Outstanding Mortgage Loan to GDP of Selected African Countries   12                                                                                      

2.1 Marginal social sacrifice curve                                                                    40

2.2: Marginal Social Sacrifice                                                                                       40

2.3: Maximum Social Advantage                                                                                                       41

2.2 Diminishing Marginal Social Benefit Curve                                                  29

2.3 Maximum Social Advantage Curve                                                                30

 

 

 


 

 

                                                                CHAPTER 1

                                                           INTRODUCTION


1.1               BACKGROUND TO THE STUDY

Public capital spending grows the economy due to the fact that it affects almost all human endeavour in the various areas of life such as housing, urbanization, construction, production, technology, etc (Babatunde, 2018). As obtains in many African countries, Nigeria has a very little formal housing/ housing finance sector to offer   for the majority of potential homeowners. The practice over the years has been to establish institutions that are expected to provide housing finance, supposedly targeted at ordinary Nigerians especially in the urban areas. These efforts, unfortunately, instead concentrates on the high-income market in search of safer lending, leaving the vast majority of urban homes without any recourse to housing finance. The unstable domestic macroeconomic environment doesn’t equally support private sector institutions to get involved in housing finance. Banks given their nature are justifiably risk averse thus they tend to lend more to the less risky clients which are the rich and the well-paid. The fact that people do not always borrow to build their own homes, is a popular feature of the Nigerian finance market. Nigerians now borrow more to do business and then use business profits to build their houses. (Amao & Odunjo;2014, Aliyu;2017).

Remarkably, stake holders in the real estate sector (Estate Developers, Primary Mortgage Institutions -PMIs, and others) have commended the proposal for budgetary allocations for improvement in infrastructure and that of housing in the year 2020. On the downside, issues surrounding the budget implementation, unproductive Public-Private Partnership (PPP), and policy instability are the pitfalls they warned Nigeria against. The 2020 N10.33 trillion budget expectedly should contribute and impact positively on real estate industry. N259.2b was set aside for capital expenditure for the Federal Ministry of Works and Housing (the highest allocation to a ministry), though a larger part of the ministry’s allocation went to road projects. Sectoral breakdown of the allocation to ministry of Works and Housing/ housing sector includes N17.5bn for National Housing, N30bn for Social Housing Scheme (Family-Homes fund) and N210bn for road construction and rehabilitation (Adams, 2021).

However, many Nigerians presently lack access to housing finance. As little as only two percent of homes in the country has outstanding formal housing loan from any financial institution for the purchase of a home in 2011. (Amao & Odunjo; 2014).  Traditionally, housing is generally self-financed through the buildup of savings equity over a considerable long period of time. It can also be financed through close friends and relatives. Available means of housing finance are mostly not affordable for many people largely due to the somewhat unfavorable terms and conditions of the few available loan packages. Loans are usually naira denominated at fixed rates arrived at between the parties, though interest rates usually dangle from 17 percent to 22 percent while their maturity period ranges from 5 to 15 years.

Only those loans acquired through the National Housing Fund scheme are subsidized.  They also come with a maximum maturity period of about 30 years with interest rate of 6 percent. The prevailing interest rates which are relatively high relates itself with the country’s inflation rate that averaged around 12 percent in the last few years, and the exorbitant cost of funding for banks. Low risk treasury bills which paid 13 percent in January of 2013, this rate was expected to decline meaningfully in the subsequent five years (Nigeria Outlook, 2014). The above forecast has come to fruition with the rate for 344 days now hovering around 5.3 percent.

According to Arilesere (1997), Abiodun (2000) Okupe (2000) the history of the sector of housing finance has remained an awful one in Nigeria. The switch to Petro-dollar led economy from agro-led economy was not gradual and hence isn’t helping the economy. This sudden availability of petro-dollar led to fragrant abuse of foreign exchange receipts and unguarded spendthrift attitudes especially among our post-independence leaders. This led to the assertion that “money was not our problem but how to spend it”. This gave a summary of a country that lacks prudent management abilities. This attitude and precarious situation together with unprecedented population growth has remained unchecked ever since.  Although the home ownership rate in Nigeria has remained relatively high across the sub region, expenditure on housing alone averaged about 12 percent of all the expenditure for about all the 43million households in Nigeria. This is coming ahead of health and education expenditures. The General Household Survey (GHS) also indicate that this share of rent as a percentage of total expenditure of all homes is modestly constant across all regions, although most households in the cities spend a little more on rent when compared in absolute terms than those in the rural areas. (World Bank; 2019)

The colonial housing finance in Nigeria was exclusively for the colonial masters and few aristocrats and some selected local top civil servants who were fortunate to come close to them in the urban areas. Subsequently, there were efforts at kick starting housing provision; though still for the privileged few. This led to the establishment of Lagos Executive Development Board (LEDB) in 1928; Nigeria Building Society (NBS) in1956; State Housing Corporations between 1956 and 1960; National Council of Housing 1971 and, Federal Mortgage Bank of Nigeria (FMBN) 1977 with an initial roll out capital of N20m that was later increased to N150m in 1979. The various sources of housing finance in existence today in the country can be grouped into two majors which are; the Formal and Informal sources. The formal sources comprise of bank and non-bank financial institutions operating within the guideline as stipulated by the federal government. Among these are:  The Federal Mortgage Bank of Nigeria (FMBN), commercial banks, merchant banks, specialized development banks, insurance companies, pension fund, developers/contractor financed housings. Some informal sector finance sources for housing are as follows: Personal or Family Savings, Individual moneylenders and Voluntary Housing Movements.

However, the assistance of the World Bank was sought and gotten in 1979 for the pursuit of housing construction projects in just eight states of Nigeria spread across the northern and southern regions. Furthermore, the fourth National Development Programs of 1980 – 1985 equally provided for a N1.9 billion budget for housing. Unfortunately, only a paltry N600m was spent on construction of houses within the period. The failure of governments over the successive years to actualize the desired rate of incremental housing unit production and the increasing housing need/demand forced the enactment of the 1991 National Housing Policy.

The spread of purchasing power and that of poverty strongly correlates with the status of those occupying different households. Conversely, the geo-distribution of the poverty seems to contradict itself with the recent trend of home ownership in rural areas of the country. 

 

Table 1: Type of Occupancy Status per Sector, 2018

Sector

Owned (%)

Provided by employer(%)

Free with authorization(%)

Free  no authorization(%)

Rented (%)

Urban

43.8

1.56

17.14

1.

35.72

Rural

81.11

0.87

12.65

1.19

4.19

Total

66.25

1.14

14.43

1.43

16.75

Source: GHS, 2019

The GHS table above shows that most Nigerian households live in their own homes in the rural areas while those that live in rented homes are more commonly seen in urban areas. It (Table:1 above) suggests that close to 66 percent of households found in Nigeria in 2018 are the owners of the houses they live in leaving the other about 33 percent to some other forms of occupancy status. Their breakdown shows that about 14.4 percent dwell in rent-free homes, about 17 percent are in rented buildings while just one percent lives in official buildings as made possible by the employer of the head of the household. Home ownership was found more common in the rural areas (81 percent) than in the urban areas that accounts for 44 percent. The values also suggest that renting of homes is popular in urban areas (35 percent) than in the rural areas (4 percent). The table also shows that some people/ homes dwell in free houses. The figures shows that they can be seen in both urban (17 percent) and rural areas (13 percent).

 When viewed from the point of gender, World Bank (2018) found that 54.3 percent of homes wherein females are the head live in their privately owned homes, 29 percent of them reside in rent free houses with the consent of the property owner while only about 15 percent live in rented apartments. Conversely, it was found that 68 percent of homes with male heads dwell in their own houses and 17 percent in rent ones.

Notwithstanding that the home ownership rate is still high in relative terms, household expenditure on housing still stand at about 12 percent of their total household expenditure. This is seen to be higher than that of expenses on education and health. The share of rent as a percentage of total household expenditure was seen to be moderately constant through regions, although homes in cities spend higher on rent in absolute terms than their rural counterparts.

Housing finance has its limitations in Nigeria due to the size of her mortgage market and the existing mismatch between maturity and ability to pay by Nigerians. At present, Nigeria has about 54 Primary Mortgage Banks (PMBs) and 21 Deposit Money Banks (DMBs) (as at January, 2020). Lending by DMBs to prospective home owners in relation to their total assets accounts for less than 1 percent. The oil and gas sector receives most of the lending. This represents about 22 percent of all the loanable fund to the private sector. A cursory look at the entire banking industry shows that 84 percent of overall liabilities in the 10 largest banks in Nigeria comes from customer deposits that are equally held in the short-term.  The balance of the funds is basically equity with strong limitations to other sources of funds for longer term financing which stands averagely at about just 11 percent of their balance sheets. Opening up of the market for residential housing via improvements in the housing finance structure have the potency of  providing an array of income yielding prospects through the construction sub-sector and other ancillary industries. Instances of this can be seen from Indian and Colombian housing markets. In Colombia, World Bank, (2018), it was found that five more direct jobs are created for every US$10,000 spent in constructing houses therein. In India, the study found that 1.5 direct and 8 indirect jobs are created for every housing unit that is constructed while in South Africa, 5.6 and 2.5 direct and indirect jobs are created per home construction.

The current rate of urbanization in Nigeria has continued to the increase in housing demand in her urban centres. It is estimated that about 700,000 housing units are needed annually across the various segments of the housing market to meet up with the going levels of housing demand. However, the going housing construction rate of below 100,000 units per annum have resulted to the accumulation of housing deficit of about 17 million units as at 2018. Some other non pure economic benefits - but social - like giving home owners true sense of belonging and strong stake in their host communities have all been attributed to home ownership. (World Bank, 2018).

These issues on housing are equally likely to have possible implications on urbanization in Nigeria which demographic components of population and migration is a strong factor. The distribution of number of homes based on their migration status shows that those who are migrants make up at least 2/5 or 40% of the entire population in 7 states out of the 36 states of Nigeria. The states involved include; Abia state (48.7%), Ekiti state (48.1%), Delta state (45.3%), Imo state (45.1%), Anambra state (44.4%), Bayelsa state (43.2%) and Lagos state (40.1%). Twenty others states and the Federal Capital Territory Abuja, reportedly have percentages that are higher than that of national average which is 23%. Noticeable change was also seen in patterns of migration within the country- internal migration. New high migration destination states were seemed to have evolved. Lagos state, which earlier stood as the highest migration destination had given way for other states like Abia, Ekiti, Delta, Imo, Anambra and Bayelsa states in that order. These are among the states identified as high migration states from the last census data. This recent trend migratory behavior across these states will evidently apply pressure on the available resources of these state with view to providing the needed infrastructure and services that can support business and life of individuals (Nigeria Outlook, 2014).

Africa is presently experiencing a new wave of urban and city life; this new experience seems to have given rise to the high rate of urbanization in the region which presently stands at 4% per annum.  As at 1995, only few cities in the region (about 28 of them) has a population of more than one million. This number after ten years in 2005 has grown to 43 and was projected to be around 59 cities by 2015 and this was exceeded.

African urban population, which stood at 413 million (40% of present value) in 2010 was estimated to get up to 569 million (45% of present value) in 2020. On the other hand, it has to be noted that economic growth rarely occurs without an accompanying growth of population and in urbanization rates especially among developing countries. Urbanization again on its own has its other bad side. UN survey found that policy makers are usually disposed to policies that tries to curb urbanization instead of making provisions to draw its benefits maximally. Hence they work towards policies that will reverse the migratory trend and send people back to the rural areas.   It is worthy of note though that rapid rate of urbanization comes with a barrage of  socie-economic problems. These may include different forms of crime, over crowding and springing up of slums, ease of out break of epidemic, etc . The inevitability of corruption has become evident over time ought to be planned for or ultimately made desirable as cheap as possible. This will warrant finding ways of ensuring that people do not pay exhorbitantly much on public utilities/ infrastructure and most importantly housing. Findings from World Bank (2018) reveals that about $40 trillion will be required to support housing and infrastructure towards meeting urban needs of the people in developing countries. This was also projected to get up to $94 trillion by 2040. The big question is; where will the money be sourced from and at what cost. Finding ways to finance such needs have remained a great challenge facing urban economists and policy makers in emerging / developing economies which includes Nigeria (Spence, Annez & Buckley; 2009, Gurara, Klyuev, Mwase and Presbitero; 2018). Drawing from the above background, this study therefore aims at determining the extent to which public sector capital expenditure, housing financing and sustainable housing development have impacted on the people especially as it concerns urbanization in Nigeria.


1.2 STATEMENT OF THE PROBLEM

As it obtains in many other countries in Africa, Nigeria’s formal housing system is small and at the same time weak. This weak and small system is where the millions of prospective home owners are expected to draw financing from. The tradition over time has been to establish home ownership institutions that emphasize home ownership mainly for the urban populace without recourse to the needs of the rural dwellers.   These initiatives that gave rise to the housing finance tradition, however, started to pay attention to mainly the high income earners who may have the capacity to borrow ‘safely’. Safely here based on their higher capacity /credit worthiness. This at the end of the day leaves the vast majority of the urban poor without any guaranteed and affordable means of accessing housing finance. Housing and housing related issues has fast become a topic for private and policy discussions in all quarters. This cuts across all social strata under the groups of those who have housing problems and those who want to invest in housing for business purposes in both sectors of the economy (public and private) of almost all the developing countries in which Nigeria is about the most populous in sub Saharan Africa. It is becoming more glaring by the day that housing conditions and circumstances in which majority of the people in the urban areas live in can be best described as dehumanizing. Others who have access to somewhat an average or decent housing circumstances and environment enjoy such at exorbitant rates/rent.  According to Onibokun (2016) and Nubi (2015),the amount charged as  rent in most  cities across the country constitute almost 60% of the income of an average workers in most of the cities concerned.  This value is by far much higher than the global average of  20-30% as  recommended by United Nations. 

Iyagba and Asimo (2018) are of the view that the estimation of the rate at which new houses are being demanded draws partly from the rate at which new houses are being constructed. They are also of the view that the rate at which the old houses are being replaced equally influence this demand and by extension the housing stock.  Nigeria’s population was put at 98 million in 1991 and above 200 million in 2019. The foregoing values, their rate of growth and rate of change in other demographic dynamics suggests that 720,000 housing units are required every year in Nigeria to meet her domestic housing needs. This constitutes a huge source of worry for the housing sub sector and key players/stake holders therein. Presently, the federal government is assumed to have ease of access to many other factors of production in the housing industry except capital which is usually low in supply. These capacities notwithstanding, the federal government have over the years been able to contribute only a paltry 4.2% of this annual housing requirement in the country.  The private sector mortgage/housing holdings are expected to make considerable level of contribution in this direction towards the attempts at achieving the desired state of being. This presents its own policy challenge too, because, about 85% of urban housing demand are met by private sector developers in the housing market. (Federal Office of Statistics, Lagos 1993).  Unfortunately, there are a lot of challenges which the private sector is battling with leaving the market always in disequilibrium (supply always fall short of demand).

In Federal Mortgage Bank survey of financial institutions, the low ease of access to the usually long-term mortgage funds was seen to be a major setback towards the growth and development of mortgage financing in Nigeria (Federal Mortgage Bank, 2012). The survey also found that other impediment to growth of the mortgage market includes; challenges of housing supply and issues surrounding land title registration. Notwithstanding that the regulatory framework permits, lenders in the mortgage industry have remained unable and sometimes unwilling to extend the maturity mismatches in their balance sheets. This inability of the market to provide long term funds have discouraged the much needed investments in the system that would have left consumers with variety of borrowing options. The lack of access to long-term funds also prevents lenders from making the necessary investments in housing and in the systems to establish large-scale mortgage lending operations. (Africa Yearbook, 2010).

The marketplace for mortgages in Nigeria have remained underdeveloped even after the notable growth it has achieved in the last couple of years spanning beyond a decade. The market growth was from N54 billion to N226 billion from 2006 to 2009 which shows an average growth rate of 35 percent per annum. In 2010, arising from the banking crisis, the unsettled mortgage loans in the market declined by 8 percent, before it started to experience growth again. By 2011, the market was at N234 billion. Despite this increase, there was still reduced access to mortgages loans. The ratio of mortgage loans to GDP which stood at 0.6 percent supports this weakness. This is obviously low for a country like Nigeria which has a relatively well-developed financial system. Despite the growing economic and relatively better developed banking system, Nigeria still under performs in relative terms among her peer countries. Unsettled mortgage loans as a ratio of GDP ratios in some other countries like South Africa, Ghana, Senegal, Uganda and Nigeria for example, stands at 34, 4, 2, 0.8 and 0.6 percent respectively.


Source: World Bank (Country indicator) databank 2019.

Figure 1: Ratio of unsettled mortgage loans to GDP for selected African countries.

The figure 1 above shows that Nigeria has the least ratio of outstanding mortgage loans to GDP in 2019.

The growth and development of the Nigerian mortgage market has over the years been impeded by the shortage and near lack of affordable and decent housing. The cheapest house that can be built by a private developer will cost about US$31,250 (N 4.6 million) within Lagos state, while the same house will cost about US$15,600 (N2.3 million) outside of the state. Furthermore, a large proportion of the housing supply in most parts of the country still exhibit that bias for high income earners. This is because the housing supply still tilt mostly towards the supply of luxurious houses that are beyond what the middle-income people can afford. The rise in the prices of these houses has been mostly blamed on high construction costs. This is because majority if not all the construction firms / estate developers carry the costly burden of providing their own ancillary infrastructure like sewerage, access roads, power and most especially water. These has been estimated to add an additional 30 percent of the cost of construction to its final market- rental or selling price. Some other challenges include the weakness of the existing legal and regulatory framework for property development in most states or where they may be in appropriate / uneconomic or unsupportive to the mortgage market.

Banks in Nigerian usually distinguish between the behavioral and contractual maturity of their deposit base. This implies that although a large percentage of the deposit base can conventionally be rightfully withdrawn on short notice, their “conduct” is usually to stay put and be in the form of pseudo long-term funds. This so-called “gluiness” of the deposit base mostly prevails during the period huge deposits are that of the public sector institutions, which are considered more reliable and stable than those held by individuals or private sector organisations. Another source of gluiness may also likely be from such depositors like SME’s or corporations that maintain a considerably large minimum credit balance on their transaction accounts. This gluiness can also be improved by offering different forms of incentives to make depositors leave higher balances, or for making specified number of few withdrawals over a given long period of time. or negotiate some contractual short-term notice obligations on withdrawals. Many market   regulators across the globe have come to terms with most of the behavioral long-term deposit as part of  the  liquidity requirements most institutions.

However, the domination of the money market by the banks has not done much at improving the ease of access to long term finance within the economy. This has been considered as a pre requisite for the opening up of the housing market. The banking sector consolidation of 2005–2006 greatly improved the capacity for many banks in Nigerian to expand their scope of operations internationally and open up subsidiary firms mostly around Africa, the lending of these banks has continued to remain inclined to the bigger corporations, their subsidiaries and those in their supply value chains. Furthermore, Nigeria still face a huge long-term financing gap, which is meaningfully impacting adversely on her growth potential. This gap has to do with that which can be used for financing infrastructure, which in this case can include housing. This has also seen to the slow growth of credit supply to the private sector.  Private sector credit shrank from 34.6 percent of GDP by 2011 year end to 30.0 percent two years later in 2013. The limitations in housing finance in Nigeria has mainly been blamed on the prevailing existing maturity mismatch within the industry. Credit supply from Deposit Money Banks (DMBs) as mortgage loans still account for less than 1 percent of their total assets. The DMBs has over time shown their preference for the petroleum industry companies whose credit supply account for almost 22 percent of total credit to the private sector.  (Nigeria Outlook, 2014).

In the event of a constricted money market, the housing industry is always the first hit in terms of its adverse effect because prospective builders and tenants will most likely find it difficult to access financing.  This challenge is more likely to be felt due to the fact that builders ab initio under normal economic circumstances encounter problems with the procurement of capital for housing projects. These twin problems of increased interest rates that leads to high cost of housing and the persistent difficulty with accessing capital for housing purposes will be further analysed deeply in this study.  

As found by Onabule (2016) 245 Primary Mortgage Institutions (PMIs) were operations under the National Housing Programme (NHP) between 1991-1996.  Unfortunately, only 54 are now operating, with majority of them mainly in the South Western Nigeria and the FCT- Federal capital Territory. According to Abiodun (1999), the National Housing Fund raised about 4 billion naira through the compulsory deductions made from workers salaries across the country   Out of the N300 million loan approved by FMBN in the year under review, only N100million was advanced to prospective builders. Thus the problem is not always the is not always fund availability but rigorous administrative measures usually put in place to secure the loan in a bid to forestall default. Hence, the challenges of housing persist.

Furthermore, the projected expansion in the population of urban dwellers, has equally increased the expected problems that is being envisage from the housing industry. Going by the prevalent home occupancy ratio of about three to four people per room in Nigeria, the number of housing units required was put at around 500,000 and 600,000 units by the National Rolling Plan (NRP). If this projected annual housing need is to be met at an average cost of N500, 000 per unit (this is now rather conservatively unrealistic though given going general price levels) the costs would be whooping and may be deemed unachievable. The cost of housing provision would be something around N250 Trillion and N300 Trillion (this does not include the expected cost of providing infrastructural support at the various sites which are obviously nonexistent). This can be viewed as the macro perspective of the problems that usually crop up on the path ensuring adequacy of housing. This implies that the governments at all level and mortgage institutions concerned will need a heavy capital base in a bid to effectively surmount the challenges associated with adequate housing provision. The unbelievable increases in population/ size and number of cities and mega cities in recent few years have led to the severe scarcity of affordable housing units and has led to dwelling units which resulted in congestion, high rents, poor and unbearable urban living conditions, weak infrastructural services and of course increased crime rates (Ajanlekoko, 2001).

At the micro-level, homse ownership has been observed as about the first on the priority of majority of the households. It was also seen to in most instances represent the largest investment made by most homes (50% to 70% of most households’ income). This observation is very significant since it has been found that income per capita of a Nigeria has remained on a downward trend over the last decade. On the supply side, the sudden and sustained increases in the market price of building materials in recent time has equally made housing less affordable by increasing number of Nigerians. Relating to affordability and requirements for housing, with the Gross Domestic Product of $49.7 b in 1988 and $44b estimate for 1989, and about $49 b in 1991 as well as per capita income of N3,000.00 the challenge still persists.  Over time, the situation is equally not getting any better. In recent times, the country’s GDP came up to $448b in 2019 with a per capita income of $5,190 - this officially is about #2. million -while the average cost of erecting about the cheapest decent bungalow is about #5 million. Thus, financing has remained a major factor in the analysis of the housing problems faced by Nigerians mostly in the long-term. In so far as efforts are not seriously made towards finding more convenient and flexible ways of financing housing for people of all income bracket, the problems associated with housing will persist and in an upward trend.

Urbanization apart from its effects on the environment and by extension public health, also impacts on the people socially and economically. For the high quality labour/ /skilled workers-that dwell in the rural areas, the process of urban growth has the capacity to connect him to more and larger labour markets. These larger markets can facilitate their getting new and higher paying jobs, this will go a long way towards changing the living standards and wellbeing of the members of the household of this labourer due to change in aoccupational status of an individual,

Depending on the social goal, urbanization can also impact as desired with respect to reductions in fertility rates which in turn reduces the rate of growth of the population. The rate of fertility in urban areas are usually lower than in rural areas. This could be attributed to near zero employment in agriculture, cost of living and raising children, cost of dwelling units in cities, popularity and knowledge of pregnancy control measures/ family planning methods. Urbanization, unlike what is generally perceived, has a way of reducing death rates, this is usually the case given the prevailing higher health literacy not minding the deplorable living conditions that are found in some parts of most cities. This knowledge of pregnancy control measures and demands of urban work place will in the longer term be reducing the birth rate of the urban dwellers. (i.e. the fertility rate). The time interval between reducing birth and death rates will initially translate to high rate of growth of urban population. However, as cities grow, the cost of provision of housing and that of the ancillary infrastructural support grows too. This is because there is usually limited supply of land, water and building material are not readily available at good prices. These are worsened by the cost of man hour loss to the ever increasing traffic congestion problems. Migrants with enough enabling skill will find it easier to make a living in the urban centres not minding the challenges that obtains there. can survive to live in the big city with all great challenges. On the contrary, poorly skilled will find it very difficult to eke a living in the urban centres since they will obviously find it difficult to get jobs due to their low skill. These will culminate into other social issues like homelessness and different forms of crime, un employment, drug / substance abuses and dependency.   It is worthy of note that these are usually complex and difficult to profile and solve due to their fluid and social nature. This thus makes it imperative to always review social problems from their social-economic and cultural perspectives. Presently, correlations between environmental problems are beginning to be understood, though social scientists cannot yet analyse precise how, to what degree these social issues are linked and how they could be most effectively contained. One problem is to integrate land- and water use planning to provide food and water security (UNEP 2019).

Nigeria is presently the most populated country in Africa. It equally has a high rate of urbanization with the largest economy in the African region. However, the pressures arising from relatively high population growth rate, high level of internal migration which is usually rural-urban and prevalence of inappropriate technology that can foster massive development of housing, have all led to formation of slums and other forms of squatter settlements in most urban This has also resulted to the current housing deficit of about 20 million houses that Nigeria is currently facing. Nonetheless, the question of whether public capital spending and housing financing improve or aggravate housing deficit is still worth researching further upon as this study has opted to embark upon. Furthermore, the effect of housing finance on sustainable housing development and urbanization is yet to receive suitably adequate research interests in the country. It was also observed that majority of the existing studies / literatures on the effect of public capital spending and housing finance on housing development and its implication on urbanization were mainly done for and in the developed countries. This implies that there exists a remarkable research gap that has been waiting to be filled for Nigeria. This will constitute the directional thrust of this study.

 This research will make an attempt to fill up this gap by investigating the state of being in Nigeria and produce more evidence on how public capital spending and housing finance affects sustainable housing development and its implications on urbanization in Nigeria.


1.3  RESEARCH QUESTIONS

This study is guided by the following research questions:

1.     What is the effect of public capital spending on sustainable housing development in Nigeria?

2.     How does housing finance contribute to sustainable housing availability in Nigeria?

3.     What is the impact of public capital spending on urban sprawl in Nigeria?

4.     To what extent does housing development affect urbanization in Nigeria?

5.     What is the level of government involvement in housing finance and sustainable housing development in Nigeria?

 

1.4  OBJECTIVES OF THE STUDY

The broad objective of the study is to investigate the effect of public capital spending and housing finance on housing deficit and its implications on urbanization in Nigeria. However, the specific objectives are to:

1.     Investigate the effect of public capital spending on sustainable housing development in Nigeria.

2.     Ascertain the contribution of housing finance on sustainable housing availability in Nigeria.

3.     Establish the impact of public capital spending on urban sprawl in Nigeria.

4.     Determine the extent to which housing development affects urbanization in Nigeria.

5.     Investigate the level of government involvement in housing finance and sustainable housing development in Nigeria.


1.5  RESEARCH HYPOTHESES

The hypotheses to be tested in this study are:

H01: Public capital spending has no significant effect on sustainable housing development in Nigeria.

H02: Housing finance has no significant effect on sustainable housing availability in Nigeria.

H03: Public capital spending has no significant effect on urban sprawl in Nigeria.

H04: Housing development has no significant effect on urbanization in Nigeria.

H05: There is no significant level of government involvement in housing finance and sustainable housing development in Nigeria.


1.6  SIGNIFICANCE OF THE STUDY

Unfortunately, rising government capital expenditure has not translated to sustainable housing availability and development in Nigeria. In addition, many Nigerians still wallow in poor housing structures. This paper will identify the basic relationships between public capital spending, housing finance and housing deficit as it affects urbanization in Nigeria, which will serve as good information for investors in Nigeria.The findings of this study will therefore avail governments at all level and policy makers mainly those that are involved with housing policies with vital information that can enhance the benefits of urbanization in the country. This study will contribute to body of existing knowledge through the analysis of the magnitude, nature and direction of the interactions between public capital spending, housing finance and housing deficit as its implication on urbanization in Nigeria. This study will help to establish a link between housing finance and housing availability. Since currently there are few studies in Nigeria in this connection and also help to see if there is any value for emerging markets like Nigeria.

This study will add more knowledge on the concept of housing finance and give more empirical findings on the relationship between housing finance and urban sprawl. This will provide more literally material which will be of value to scholars, students and researchers.

Hence, the results and recommendations of the study could serve as a framework for the formulation of a more viable and sustainable housing policy for Nigeria. The application of the findings of this study can also be extended to be beneficial to other sister economies within the region.

 

1.7  SCOPE OF THE STUDY

As it concerns coverage, the scope of coverage of the study is between the period of 1981 and 2019 using Geographically Weighted Regression (GWR) methodology with annual secondary data. This would enable the study to look at different aspects of the housing sector development and the attendant urban sprawl in Nigeria. The coverage is chosen owing to the availability of data. This study will examine the nature of basic relationship between public capital spending, housing finance and housing deficit as its implication on urbanization in Nigeria. However, bearing in mind the major objective the study is pursuing, the study intends not to move beyond investigation of basic relationships between public capital spending, housing finance and housing deficit as it affects urbanization in Nigeria. It will highlight and analyse those areas past works did not delve into. It intends also to improve the appreciation of important housing variables and expand available options of policy and policy mix for policy makers. The study limits itself to Nigeria with a view to examine the extent of housing deficit in Nigeria. Variables, such as interest rate and rate of unemployment were seen as control variables. Furthermore, extent of policy mix and harmonization were equally proxied with monetary and fiscal policies, while the stock market value of shares traded and market capitalization were used to proxy financial integration.   


 

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