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SPACE-ENHANCED SYSTEMATIC LAND TITLING AND REGISTRATION: A STRIDE AT RESUSCITATING NIGERIA’S ‘DEAD CAPITAL’

Authors: Caleb Olutayo Oluwadare; Olajide Kufoniyi;

SPACE-ENHANCED SYSTEMATIC LAND TITLING AND REGISTRATION: A STRIDE AT RESUSCITATING NIGERIA’S ‘DEAD CAPITAL’

Abstract

Since the commencement of land registration in Nigeria, less than 3% of land, mainly in urban areas had been registered. This is partly due to the prevalent sporadic method. Sporadic procedure of obtaining title is associated with many problems which include time and cost. This study examined space-enhanced systematic land titling and registration (SLTR) approach in Ondo State, Nigeria towards easing the titling logjam in the State. Questionnaire and Oral interview were used to elicit information from landowners and heads of departments of two government agencies. The study purposively sampled 1002 landowners and 4 heads of departments. Data derived were analysed using descriptive statistical methods. Analysis showed that systematic method was more efficient than the sporadic in terms of cost (10:1) and time (6:1). The study concluded that space-enhanced SLTR method is efficient in terms of time and cost and also effective at unlocking the ‘dead capital’ of the State.

Keywords

HD101-1395.5, Titling, Land registration, Cadastre, Land use, Dead capital, Mathematical geography. Cartography, Efficiency, GA1-1776, Land Economics/Use

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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