International Journal of Finance and Accounting

p-ISSN: 2168-4812    e-ISSN: 2168-4820

2019;  8(2): 57-64

doi:10.5923/j.ijfa.20190802.02

 

Homeowners’ Perception of the Factors Affecting Access to Housing Finance in Owerri, Imo State, Nigeria

Okey F. Nwanekezie1, Iheanyi J. Onuoha2

1Department of Estate Management, University of Uyo, Akwa Ibom State, Nigeria

2Department of Estate Management, Imo State University, Owerri, Imo State, Nigeria

Correspondence to: Okey F. Nwanekezie, Department of Estate Management, University of Uyo, Akwa Ibom State, Nigeria.

Email:

Copyright © 2019 The Author(s). Published by Scientific & Academic Publishing.

This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/

Abstract

This study investigated factors influencing homeowners' access to housing finance based on the perception of those who borrowed the loan and those who did not. It aimed to identify the predictive factors and variables that influence access to housing finance. It surveyed a cross-section of 450 respondents consisting 300 of those who had borrowed and 150 of those who did not borrow. Stratified random sampling was used and questionnaire was the main instrument of data collection. The gathered data was analyse using discriminate function. The result showed a significant discriminant function separating the two groups based on their perception of the variables. The Wilks’ Lambda’s F test and the standardized discriminant function coefficients, indicated that there are significant differences in perception between homeowners who borrowed and those who did not borrow as measured by appropriate collaterals, access and affordability criteria, repayment scheme and criteria, formal rules of access, type of loan provided, type/purpose of project financed, location factors/attributes. Nonetheless, access and affordability criteria variables were found to have shown the most predictive power in accounting for the differences in perception

Keywords: Housing finance and loan, Housing affordability, Home ownership, Lenders requirements, and homeowners’ perceptions

Cite this paper: Okey F. Nwanekezie, Iheanyi J. Onuoha, Homeowners’ Perception of the Factors Affecting Access to Housing Finance in Owerri, Imo State, Nigeria, International Journal of Finance and Accounting , Vol. 8 No. 2, 2019, pp. 57-64. doi: 10.5923/j.ijfa.20190802.02.

1. Introduction

Finance is an essential requirement for housing development and is seen as the lifeline in real estate development (Tibaijuka, 2002, Ojo and Ighalo, 2008, Onyike, 2009; Kuma, 2015). Tibaijuka (2002) opined that the availability of adequate housing finance is the cornerstone of any valid and sustainable shelter project, while Akinmoladun and Oluwoye (2007) noted that the poor quality and quantity of housing is mainly due to weak and ineffective access to finance. For Onyike (2007) the significance of finance underscores the wish and efforts of every civilized government to see that most of her citizens, if not all have access to housing finance and are adequately housed.
However, access to housing finance is increasingly becoming challenging for prospective homeowners particularly in developing economies. In most cases where homeownership top household's scale of preference, they often forgo expenditures on other domestic consumptions to meet their desired goal (Kuma, 2015). In Nigeria presently, 60% of the new houses developed each year are financed through personal income and savings and sometimes with the assistance from local cooperative societies (National Bureau of Statistics NBS, 2012; Onyike, 2007; Kuma, 2015). Furthermore, a report from the Living Standard Measurement Survey (LSMS) by NBS in 2012 revealed that only 38% of households' have formal bank accounts in South East Nigeria which equal the percentage of the overall national average and only 4% use formal credit in the development of their homes (Kuma, 2015). Perhaps that is why some literature evidence in some case studies indicates that stringent lending policies of formal institutions have influenced borrowers’ choice of finance and as well shifted their preferences to other informal sources of housing finance (Ojo, 2005; Ndibe and Kuma, 2010). This could be the reason many scholars (Onyike, 2007; Onyike, 2009ab; Akinwunmi, 2009; Ojo, 2005, 2004; Atali, 2010) posited that conventional public finance system has failed to offer credit solutions to housing needs of the majority of Nigeria.
Mortgage finance usually has several requirements in which the prospective borrower must satisfy to qualify for the loan/mortgage. The various applicants often perceived these requirements in different perspective given their experience, background and the requirement. For instance, an applicant for loan who is required to have a landed property as collaterals may be reluctant if not discouraged from securing the loan. The repayment scheme and criteria is another factor that may affect the perception of an applicant. It is certain that not all the prospective applicants will perceive the requirement the same. While one may feel collateral requirement as a challenge but to another it could be repayment plan or type of loan provided. Thus, homeowners’ perception of these challenges or factors could account for low patronage of mortgaged finance or banking loan in the study area. As already noted there is a high rate of homeownership through personal savings and other informal sources of finance. Given this, one tend to ask, what are the challenges to housing finance in Nigeria and if there is any difference between perceptions of people who have borrowed and people who have not in the study area. To help answer the above poser, the following hypothesis was formulated. Ho: There is no significant difference between the perception of people who borrowed and those who did not.

2. Review of Related Literature

Literature has identified several factors affecting homeowners’ perception access to housing finance. Ojo (2005), Onuoha (2011) among others have identified the following factors:

2.1. Appropriate Collaterals

(Ojo 2005; Ojo and Ighalo, 2008; Kuma, 2015) found evidence suggesting that collateral such as titled land, government bonds, private shares, properties in urban or rural properties, and fixed deposit are collaterals often considered by financial institutions before granting loans to homeowners. For example, in Nigeria, issues related to land title remain a significant eligibility criterion applied by housing finance institutions for granting loans to prospective individuals who want to develop their properties. Perhaps, this is why Onyike (2009a) posited that the availability of collaterals and other vital inputs determine access to loan affordability. Thus, the decision of a household to finance housing development is dependent on the availability of collateral. However, when trying to borrow loan for housing development, institutional sources of housing finance are often inaccessible to most households especially the low-income earners due to collaterals such as titled land, a condition that has delayed the construction and development of housing.
According to Ojo (2005) issues related to land title in Nigeria remain a significant barrier to housing finance. In many cases, there are often legal impediments to the ability of a property owner to pledge residential property as collateral (Diamon and Lea, 1992; Onuoha, 2011; Kuma, 2015). Again, the process of procuring a registered title to interests in land under the land use Act of 1978 in Nigeria is challenging, tasking, highly expensive and time-consuming. This has not only frustrated the take-off and execution of many viable housing projects but has denied many prospective developers access to mortgage loan due to lack of title collaterals. Ojo (2005) noted that this is very worrisome considering the main thrust of the Act which is to facilitate availability and accessibility of urban and rural land for development in Nigeria.

2.2. Access and Affordability Criteria

Prospective homeowners feel reluctant to borrow loan from financial and mortgage institutions due to stringent conditions on access to loan and affordability. The decision to access loan for housing development in Nigeria and in particular Owerri is dependent on the income of the borrower, income security criteria viewed in terms of stability of employment and business, fixed annuity, method of repayment such as pensions and allowances, equity contribution of the borrower, cost of housing to be developed by individual (Ojo, 2005; Onyike, 2009a; Onyike, 2007; Onuoha, 2011). When one’s income is not even enough to meet one’s immediate needs such as food, financing housing under stringent lenders requirements will not be included in the budget. Onuoha (2011) observed that affordability criteria of financial institutions in Owerri are much hinged on the income profile of the applicants while accessibility is tied to the formal rules governing households' ability to obtain housing loan (Bramley1993; Onyike, 2007). For example, studies show that financial institutions require loan applicants to make a down payment as a condition for loan approval. Also, investigations revealed that low-income earners rarely apply for loans for housing development in Owerri due to the high emphasis on income as affordability criteria (Onyike, 2007; Ahmad, 2009; Onuoha, 2011).

2.3. Repayment Scheme and Criteria

Repayment criteria of a financial institution may well determine the propensity of prospective homeowners to apply for housing finance. As such, the repayment scheme has been observed to be one of the factors underlying a potential homeowner's perceived probability of securing a loan from banks. Applicants who do not agree for a stipulated amortization period for loan repayment are likely to have their application rejected. Ojo (2005) and Onuoha (2011) also found that the probability of homeowners securing housing finance is considerably higher if the repayment is to be made in a short or medium term. Besides, the preparation schedule for loan repayment could have an input in the income of the borrower, interest rate, and loan amount (Ojo and Ighalo, 2008).
In Nigeria, amortization and repayment periods vary with the type and sources of housing finance. Studies have found that repayment criteria of financial institutions are one of the major impediments to housing finance in Nigeria. For example, Onuoha (2011) observed that the payback period granted by banks is too short when one considers that housing development takes longer time to complete. While Ojo (2005) posits that long term loan agreement affords better opportunity for potential homeowners to complete their houses.

2.4. Formal Rules of Access

Studies have shown that experience of those who have attempted to borrow from financial institutions had their loan application rejected or suspended because of what Ojo (2005) and Onuoha (2011) described as formal rules of access. Some financial institutions give additional conditions for loan approval. These conditions are to be strictly observed by prospective loan applicants. These conditions include the age of account with a lending institution, approved building plan, current tax clearance certificate, and evidence of insurance of the property to be financed and bank service charges (Ojo, 2007; Onuoha, 2011). According to Ojo (2005), genuine applicants who wish to develop a house of their own are often denied access to loan due to the short period they have operated an account with banks. Most financial institutions believe that the age of account kept with them builds confidence and ensures quick repayment of the loan. On building plan and presentation of tax clearance, potential borrowers are expected to deposit the architectural plan of proposed building and present evidence of tax clearance to the bank. In some cases, banks require three to five years of tax clearance as a prerequisite for granting loan (Ojo, 2005).

2.5. Type of Loan Provided

Another commonly attractive motivation that determines the propensity of homeowners to initiate housing loan application is the type and nature of loan provided by the financial institutions. Most financial institutions provide short term, medium and long term finance for real estate development (Nwanekezie, 1996; Kuye, 2000). However, every potential homeowner intends to leverage on these categories of real estate finance options to achieve his objectives (Kuye, 2000).

2.6. Type of Project Financed

Subjective evidence suggests that borrowers consider the type of project financed by financial institutions before seeking for a housing loan. Housing construction and development is complex and involves many skills and resources including huge financial commitments. As such, financial institutions hardly provide loans for all the categories of housing development. There is evidence that prospective borrowers may want to borrow a loan for different purposes. For example, a borrower may want a loan for constructing a house or for outright purchase, repairs/renovations and improvement purposes (Kuye, 2000). Nwanekezie (1996) observe that the probability of borrowers securing loans depends to a large extent on the type of project the financial institution finances. It is for this reason that (Ojo, 2005) posit that a borrower is attracted to housing loan if such an arrangement helps him to achieve his purpose.

2.7. Location Factors

It has been said that one most important factor that influences access to housing finance is site and location-related factors. For example, site and location of the property such as neighborhood location, accessibility to popular places of employment, adequate availability of utilities and transportation as well as compliance with applicable federal, state or local land use law and zoning regulations improve the chances of prospective borrowers to obtain housing loan (Nwanekezie, 1996). According to the author, location determines accessibility while accessibility determines demand and consequently profitability. The implication is that financial institutions may be reluctant to finance any project; its location would not add any economic value to the property owner. Perhaps, this is why Ojo (2004) observed that properties located in urban and rural areas are rated differently by financial institutions. For example, banks prefer properties located in urban areas than the rural areas (Ojo, 2005). This is because pieces of property may have different values just because of the difference in location. Moreover, financial institutions perceive that there is general apathy among insurance firms to provide borrowers with mortgage indemnity guarantee insurance premium for properties located in rural areas (Ojo, 2004; 2005). However, it has been argued that when the provision of housing loan is greatly and strictly hinged on location attributes, potential borrowers are often discouraged from accessing the loan (Nwanekezie, 1996). Specifically, those whose properties are located in rural areas or are not in good locations may have their loan application rejected (Ojo, 2004; 2005).

3. Research Methods

The sample frame was drawn from a population of homeowners who borrowed, attempted/or did not succeed in borrowing loan from banks for housing finance. Available data from the regional offices of the banks as of the time of the survey shows an estimated population of 1,500 documented loan applications. A total of 500 sets of questionnaires were distributed among the classes of respondents. For those who borrowed, 180 questionnaires were distributed, out of this number, 150 were returned representing 33.4% of the distributed questionnaires. For those who did not borrow, 320 questionnaires were distributed while 300 representing 66.6% were returned. Questionnaires were administered face-to-face to the participants. Several visits were made, and reminders sent including phones calls to the respondents.
The questionnaire was limited to two parts. Part 1 contained general demographic questions of the participants designed to know their background information. While part 2 comprised a set of questions that were intended to shed light on participants’ awareness of housing finance and on the perception of factors that could influence access to housing finance. The distributed questionnaires tapped into the perception of the homeowners (those who borrowed and those who did not) on the seven (7) identified factors in the literature.
Discriminant analysis was used in this study. The justification for the adoption of discriminant analysis is that the study covers two respondents – homeowners who borrowed and homeowners who did not borrow. Thus, the study involves the analysis of the differences in perception of two groups of sample populations. Discriminant analysis as described by Hair et al. (1987) is a multivariate statistical method used to study the differences and make a comparison between two or more defined groups on a set of the variable measured at interval scale. It involves creating a liner mixture or blending of two or more discriminating variables that differentiate best between groups. This could be done by applying a statistical decision rule of maximizing between-group variance relative to the within-group variance (Ramsover, 1985; Hair et al., 1987; Aliagha et al., 2014). The relationship is expressed as the ratio of between-group to within-group variances, and the linear grouping is a derivative of the following equation:
Z = 1X1 + W2X2+W3X3.....+WnXn;
Where Z is the discriminant score, W is the discriminant weights (discriminant coefficients), and X is the independent discriminating variables.

4. Results and Discussion

The data gathered in filed survey were analysed using the discriminant function and the results are presented in tables 4.1 and 4.2.
The Table (4.1) below shows the group means scores and tests of equality of group mean statistics used to identify variables and assess the perception of the two respondents (those who borrowed and those that did not) on factors and variables that affect housing finance. Thirty-four (34) variables were used to determine their perceptions.
Table 4.1. Group Mean Differences and Test of Equality of Group Mean of Factors Influencing Access to Housing Finance in Owerri
Table 4.1 shows that all the six variables measuring access and affordability criteria (AAC) exhibited strong discriminant power, which suggest there were significant group mean differences in perception between the two respondent (those who borrowed and those who did not borrow) on the variables (AAC1 λ 0.986, F = 13.865, p < 0.05; AAC2 λ 0.898, F = 11.108, p < 0.05; AAC3 λ 0.976, F = 11.822, p < 0.05; AAC4 λ 0.998, F = 12.571, p < 0.05; AAC5 λ 0.965, F = 14.431, p < 0.05; AAC6 λ 0.977, F = 16.068, p < 0.05). Though, the two respondents registered very high total mean on the six variables (>4) which overall are considered significantly high. It infers that the variables have strong effects on borrowers’ capacity and access to housing finance. However, the group means values and difference of the respondents were too high to make significant differences. Thus, it could be said that access and affordability criteria variables constitute greater factors that influence housing finance particularly those who did not borrow.
On appropriate collaterals, a look at Table 4.1 indicates that the total mean scores for the six variables measuring the factor range from 4.5 to 3.5 which overall could be regarded as high. This implies that the variables have a strong influence in determining access to housing finance. But a glance at the group mean shows that five variables exhibited strong discriminant power, which suggests there were significant group mean differences in perception between the two respondents on the variables. Furthermore, a look at the Table indicates that those who did not borrow recorded higher group mean value on variable AC5 (4.38) than those who borrowed (3.68), the mean difference was too small to make a significant difference. It suggests that rural properties do not constitute major determinant of access to housing finance and largely both respondents do not see rural properties as key collateral to housing finance.
For variables measuring repayment scheme and criteria (RSC) all the variables showed a very high total mean scores (all >4), indicating that both those who borrowed for housing finance and those who did not succeed in their application or had their loan request rejected recognize repayment scheme and criteria as strong factor that influence access to housing finance. However, this perception is not balanced as those who did not borrow have a stronger view on the influence of the repayment scheme and criteria in determining access to housing finance. Table 4.1 above shows clear evidence that all the four variables displayed strong discriminant power which revealed there were significant group mean differences in perception between those who borrowed and those who did not on the variables. Those who did not succeed in borrowing or had their application rejected recorded higher group mean values (4.93, 4.33, 4.85 and 3.98) than that those who borrowed (3.88, 3.58, 4.30 and 3.34), the mean differences were large enough to make significant group difference. Again, the fact that the repayment scheme and criteria are perceived by those who did not borrow as having a strong influence on access to housing finance requirements is not surprising. This is because investigations suggest that an inability to meet the lending requirement of this nature accounts for 89% of the reasons for loan rejection (Ojo, 2007; Onuoha et al., 2014). Thus, applicants who did succeed in borrowing may be more aware of this having known the practical implications of not fulfilling the conditions for loan repayment on a record time.
Table 4.1 also indicate that six variables determining formal rules of access (FRA) displayed strong discriminant power, which suggest there were significant group mean differences in perception between the two respondents on the variables. The total mean scores of the two respondents are all very high (all >4), indicating that both respondents believe that formal rules of financial institutions affect access to housing finance. Despite this perception, the group means values as shown in the Table 4.1 revealed that those who did not borrow have the stronger perception that formal rules of access measures are more harsh and stringent than those who had their application approved. The mean differences are significant enough to support these differences in perception.
The total mean values for the three variables eliciting measurement for the type of loan provided (TLP) as factors influencing housing finance are all >4 which overall are considered as significantly high. This suggests the variables have a strong influence in determining access to housing finance. It also shows that both respondents agree that this factor determines their motivation to apply for housing finance. However, this perception is not balanced. For example, evidences from the group mean scores show that the three variables exhibited strong discriminant power, which suggest significant group mean differences in perception between the two respondents on the variables. Thus, the type of loan provided constitute a greater obstacle in accessing housing finance by those who did not succeed or had their loan application rejected or suspended. The explanation for this may not be far-fetched. Some financial institutions are often in a hurry to recover their money within a short period. Thus, they provide a short or medium term for their customers. Findings from the study show that borrowers are averse to this arrangement.
Two out of four variables measuring type/purpose of project financed (TPPF) demonstrated strong discriminant power, which suggest there were significant group mean differences in perception between those who borrowed and those who did not borrow on the two variables. However, the total mean scores for the four variables were all > 4 which is considered as high. This suggests that the variables create strong effects for both those who borrowed and those who did not borrow in accessing housing finance.
On the five variables measuring location factors/attributes (LFA), the two group of respondents demonstrated significant total mean scores (all >4), indicating that both respondents regard location attribute as harsh and crucial factors considered by financial institutions before granting housing finance to applicants. However, this perception is considered more stringent by those who did not borrow or those who had their loan application rejected. The five variables displayed strong discriminant power which suggest there were significant group mean differences in perception between the two groups on the variables.

4.1. Predicting Discriminant Function for Propensity to Access Housing Finance and Testing of the Formulated Hypothesis

In order to determine the most predictive variables that best differentiate the two groups and test the formulated hypothesis (those who borrowed and those who did not borrow) the “stepwise method of entering/remove” for deriving discriminant functions was used (Huberty and Barton, 1989; Aliagaha et al., 2014; Onuoha, 2017). Thus, the 34 variables in Table 4.1 above were subjected to the stepwise method. Table 4.2 below shows that at 30 iterations at 0.05 significant level were significant.
Table 4.2. Predictive Model of Access to Housing Finance Variables entered/removed a,b,c,d
The above table confirms the significance of the discriminant function and identified that access to housing finance requirements and variables have the greatest impact and correlation with the discriminant function. The Table reveals a canonical correlation (CCr) of 0.658, which implies that the function explained 65% (CCr2) of variance in the group differences. However, when examining the function’s Wilks’ lambda (Λ), the function is considered significant (Λ = 0:588, χ2 (df = 5) = 264.605, p < 0.01). Thus, this study substantively concludes that there is a significant discriminant function that separates the two respondents based on factors that influence access to housing finance.

5. Conclusions

The study concludes that there are significant differences in perception between those who borrowed loan for housing finance and those who did not on the identified variables. It revealed that both those who borrowed and those who did not borrow perceived lenders requirements for housing finance as harsh based on their total mean score and values alone. It is also concluded that measures of access and affordability criteria, possession of registered title collateral (title deed) is perceived as the most difficult of lenders requirements for financing housing from those who have borrow. Other lenders requirements perceived by both those who borrowed and those who did not as stringent and restrictive to the growth of housing in the area are repayment scheme and criteria which include amortization period, moral factor e.g. character of the borrower borrower’s willingness and capacity to pay back (the borrower’s ability to repay the loans is one of the main concerns of the lender's decision), and previous repayment performance of the borrower etc.
The study further concluded that for financial institutions, affordability criterion which some borrowers particularly the individual borrowers who fail to meet the conditions is the income security criteria viewed in terms of stability of employment and business. It is conclusion of this study that lenders perceive that there is general apathy among insurance firms to provide borrowers with mortgage indemnity guarantee insurance premium (MIG).

References

[1]  Ahmad, A. (2009). Roles of FMBN in Emerging Housing Availability and Affordability Drive in Nigeria. Paper presented at the 3day National Workshop on Housing Availability and Affordability in Nigeria, Owerri.
[2]  Ajanlekoko, J.S. (2001). Sustainable Housing Development in Nigeria-The Financial and Infrastructural Implication, Paper presented at the International Conference on Spatial Information for Sustainable Development, 2nd-5th October 2001, Nairobi.
[3]  Akinmoladun, O.I. Moreover, Oluwoye, J.O. (2007). An Assessment of why the problems of Housing shortages persist in Developing Countries: A case study of Lagos Metropolis, Nigeria. Pakistan Journal of Social Sciences, 4(4): 589 - 598.
[4]  Akinwunmi, A. A (2009). An Investigation Into Factors Affecting Housing Finance Supply In Emerging Economies: A Case Study of Nigeria A thesis submitted in partial fulfillment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.
[5]  Aliagha, U.G., Jin, T.E., Choong, W.W., Nadzri Jaafar, M, and Ali, H.M. (2014). Factors Affecting Flood Insurance Purchase in Residential Properties in Johor, Malaysia, Journal of Natural Hazards and Earth System Sciences (14) 3297 – 3310.
[6]  Antwi, A. (2002). A study of Informal Land Transactions in Accra-Ghana, Our Common Estate Series, London: RICS Foundation.
[7]  Atati, F. O (2010). An Investigation Into The Factors That Influence Housing Finance In Developing Countries A Case Study of Kenya.
[8]  Benjamin, A. S. (Ed.). (2000). Housing Policy in a Federal System; Past, Present, and Future. In A. O. Bayo, F .A. Steven, O.D. Rufus & O. Abiodun (Eds.), Effective Housing in the 21st century Nigeria.
[9]  Bramley, G. (1993). Home Ownership Affordability in England. Journal of Housing Policy Debate, 3(3).
[10]  Chima, K. (2007). Public-Private Partnership: A Sustainable Approach to Housing Delivery in Imo State. Paper presented at the National Workshop on Housing Availability and Affordability in Owerri, Owerri Imo State.
[11]  Diamond, D. B., and Lea, M. (1992). Housing Finance in Developed Countries: An International Comparison of efficiency. of Housing Research, 3(10), 1-260.
[12]  Hair, F. J., Anderson, E. R., and Talham, L. R. (1987). Multivariate Data Analysis with Readings. New York: McMillan Publishing Company.
[13]  Huberty, C.J., and Barton, R.M. (1989). An Introduction to Discriminant Analysis: Measurement and Evaluation, Counselling and Development, 22, 158-168.
[14]  Kalu, I. U. (2009). Effects of Building Materials, Design and Land Policy on Housing Availability and Affordability: Lessons from Quasi-Government Housing Agencies. Paper presented at the Imo State Housing Summit, Owerri Imo State.
[15]  Krajie, C., and Morgan, L. (1970). Determining Sample Size. In Sekaran, U 1992. Research Methods for Business: A Skill Building Approach. Toronto: John Willey and Sons, Inc.
[16]  Kuma, S. S (2015). Assessing the Challenges of Access to Housing Finance in the North Capital States of Nigeria. Ethiopian Journal of Environmental Studies & Management 8(2): 161 – 170, 2015. doi: http://dx.doi.org/10.4314/ejesm.v8i2.6.
[17]  Kuye, O. (2000). Introduction to Property Valuation. Lagos Climax Communications Limited.
[18]  National Bureau of Statistics NBS (2012). Living Standard Measurement Survey.
[19]  Ndibe, L.O., and Kuma, S.S. (2010). Bridging The Gap Created by Commercial and Mortgage Banking Institutions in Housing Delivery. In J.A.B. Olujimi, M.O. Bello, E.B. Ojo, A.O. Olotuah, M.A. Adebayo, and F.K. Omole (Eds) Man, Technological Advancement and Sustainable Environment (pp291- 295). Proceedings of International Conference Organized by School of Environmental Technology, Federal University of Technology, Akure, Nigeria.
[20]  Ndubisi, N. O. (2011). Factorial and discriminant analyses of environmental sensitivity and initiative of Nigerian firms, Thunderbird Int. Business Rev., 53, 19–35.
[21]  NPC. (2006). 2006 National Population Census Report. Nigeria.
[22]  NPC. (2008). National Pension Commission Report. Abuja Nigeria: National Pension Commission.
[23]  Nwanekezie, O. F. (1996). Principles and Practice of Estate Management. Owerri, Avan Global Publications.
[24]  Ojo, O. (2004). Factors Affecting Residential Real Estate Financing in South-western Nigeria, Unpublished Ph.D. Thesis of the Department of Estate Management, Obafemi Awolowo University, Ile-Ife, Nigeria.
[25]  Ojo, O. (2005). Borrowers' Perception of the Degree of Cumbersomeness of Lenders Requirements in Housing Finance in South-western Nigeria. Conference proceedings, The Queensland University of Technology, Brisbane, Australia, 4-8 July 2005.
[26]  Ojo. O. and Ighalo, J.I. (2008). Factors Affecting Borrowers Choice of Housing Loan Package in Southwestern Nigeria. Housing Finance International, 23(2), 38 – 43.
[27]  Okpala, D. C. I. (1978). Housing Standards: A constraint on Urban Housing Production in Nigeria. Ekistics(45), 249 – 257.
[28]  Okpala, D., Mutizwa, M. N., and Moisseer, I. (2006). Financing Urban Housing United Nations Global Report on Housing Settlements (Vol. 2): Global Development Magazine.
[29]  Olufemi, O. A. (1993). International Housing Finance: A case study of Property Development Corporation of Oyo State. NISER, 6.
[30]  Onuoha I.J; Aliagha G.U; Rahman, M.S.A.; Kalu I.U; Onyike J.A; Okeahialam, S.A (2017). Green and Sustainable Commercial Property Demand in Malaysia and Nigeria, Journal of Energy Technologies and Policy, Vol 7, No 9.
[31]  Onuoha, I. J. (2011). Assessment of Borrowers' Perception of Lenders' Requirements for Financing Housing Investment in Owerri. Unpublished MSc dissertation, Abia State University Uturu Nigeria.
[32]  Onuoha, I.J. (2017). Model of Demand and Supply Factors Affecting Green Commercial Properties. Ph.D. dissertation Universiti Teknologi Malaysia.
[33]  Onyike, J. A. (2007). An Assessment of Affordability of Housing by Public Servants in Owerri, Nigeria. Land Use and Development Studies Department of Estate Management Federal University of Technology Akure, 3(1).
[34]  Onyike, J. A. (2009a). Developing a funding model for housing the low-income earners of the urban areas of South-East Nigeria. (Ph.D. in Estate Management), Abia State University Uturu, Nigeria.
[35]  Onyike, J. A. (2009b). The Urban Housing Problem of Nigeria in the 21st century. Paper presented at the 39th Annual conference of the Nigerian Institution of Estate Surveyors and Valuers, Awka Anambra State.
[36]  Ramsower, R.M. (1985). Telecommuting: The Organizational and Behavioral Effects of Working at Home. Ann Arbor, Michigan: UMI Research Press.
[37]  Renand, B. M. (1986). Housing finance in transition economies - the early years in Eastern Europe and the former Soviet Union: World Bank financial sector development department.
[38]  Tobaijuka, A. K. (2002). Foreword: In financing adequate shelter for all... Paper presented at the UNGASS Parallel event on financing adequate shelter for all.
[39]  UNCHS-Habitat. (1994). Improving the performance of National Finance Institution in Shelter Delivery. Nairobi: UNCHS.
[40]  UNCHS-Habitat. (2002). Financing adequate shelter for all - addressing the housing finance problem in developing countries. UNCHS Nairobi: UNCHS.
[41]  UN-HABITAT (2005). Financing Urban Shelter, Global Report On Human Settlements, 2005. Earthscan, London publications Ltd, London, UK.