Browsing by Author "Kuma Shien Stephen"
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Item Building a Modern Land Administration System in Nigeria(School of Environmental Technology Federal University of Technology Main Campus, Gidan Kwano, Minna, Niger State, Nigeria, 2016) Kemiki Olurotimi Adebowale; Ayoola Adeyosoye Babatunde; Kuma Shien Stephen; Ojetunde Ismail; Fabunmi Foluke OlanikeLand administration is a significant framework for the management of any nation’s pool of resources and has remained one of the most chatted discourses among urban issues in many developing countries. This paper examines the issues in land administration in Nigeria and other developing countries, looking at the various administrative and legal frameworks in place for an efficient land delivery system. The land administration system in Nigeria is plaque by challenges spanning from policy, institutional and legal frameworks to technical and operational issues which have direct impact on implementation. These challenges emanated from some of the import ideologies that adjustments could not be made upon. The study recommends the reform of policies and the creation of a local integrated land administration system model (LAS) that will accommodate our country peculiarities. Also the development and sustenance of an ICT based professionals and infrastructure that will enhance efficiency in the land information system.Item Critical Factors Contributing to Rent Arrears in Residential Properties in Minna, Nigeria(European University of Lefke, Cyprus, 2018) Kemiki Olurotimi Adebowale; Ayoola Adeyosoye Babatunde; Ojetunde Ismail; Ogunbajo Rukayat Adeola; Kuma Shien StephenOptimum return appears to be a tangible motive of investors of real estate investments. This motive over the years has been bedevilled by rent defaults by renters of properties in the property sector. This situation, to Property Managers and their Principals is worrisome. It is on this basis that this study attempts to assess the factors influencing rent arrears in Minna residential property market. The study employs data on various aggregate factors such as management subsystem, economic factors, tenancy arrangement, dwelling unit features and external household attributes influencing rent payments. Cluster random sampling was used to administer questionnaire to renters of residential properties in Minna while simple random and purposive sampling techniques were used to administer questionnaires to property managers. Kendall Coefficient of Concordance and Chi-Square were statistical tools used. The result revealed that W = 0.601 which indicated a statistical evidence of a fair association in the ranking of the factors responsible for rent in arrears, while the average rank correlation of factors between all possible pairs of the towns rs = 0.521 indicating a weak agreement to the identified factors. There was evidence of variation among the factors responsible for rent arrears across the areas and the study also found there is no relationship between income level of renters and type of residential accommodation occupied. The implication of the study is that renters develop practical habit that discipline their finances and prioritize the scale of preference to live below their income level.