An assessment of the impact of Public Infrastructure on Residential Property Value in Minna

Abstract

This study provides evidence on the value capitalization effects of public infrastructure in Minna. It employs rental transactions and dataset constructed from various secondary sources to provide information on geometric and spatial distribution of four groups of public infrastructure. Due to aggregation bias in these data set, we utilise the quartile procedure to construct aggregate indices. Which capture effects of the different infrastructure stock Components, But not Infrastructure quality. The quartiles were used to compute location quotients. For 12 priori neighbourhoods. Hence providing the basis for grouping and classifying neighbourhoods into low and high infrastructure neighbourhoods. A tenable statistical justification for this neighbourhood splits by infrastructure is the Hodges-Lehman point estimate of shifts () at 95.89 confidence level which is (-3.234, -11.072, -0.339). The study revealed that two classified neighbourhoods (Low and High) are different. Findings revealed that. Geometric and spatial distribution of infrastructure Is reasonably on even across the study area. In addition. marked variability exists in quality of infrastructure between low and high infrastructure neighbourhood based on respondent's perceptual rating. The conjecture that high infrastructure neighbourhoods have higher residential property values in contrast with that associated with low infrastructure neighbourhoods, was also found to be plausible. The capitalization effects of public infrastructure is evident in a falling market; high-infrastructure neighbourhoods significantly outperformed low-infrastructure neighbourhoods by 14,470, While in period of soaring property value high-Infrastructure neighbourhoods command N57305.60 more than the low infrastructure neighbourhoods. These findings have substantial implications for optimal location of public infrastructure and it's capitalization into urban residential property value. To maximise this capitalisation effects. Policymakers and planners must efficiently allocate public infrastructure across space.