The Contributions of Urban Infrastructure to Residential Real Estate Investment Value in Awka, Anambra State (Published)
The study analyzed the contributions of urban infrastructure to residential real estate investment value in Awka. The problem was deficit of information on the impact of urban infrastructure to residential property investment value which affects the planner, investor or real estate developer in taking decisions. The study area Awka was divided into four (4) residential zones namely the core, transitional zone, peripheral zone and public housing estates. Six (6) infrastructures were identified as peculiar to residential properties in Awka. They include: electricity, water, drainage channel, refuse disposal facility, access road and security facility. Tenants of residential properties and estate surveyors practicing in Awka made up the population of the study. Sampling technique adopted was stratified random sampling while the instrument for data collection was questionnaire. A total number of two hundred and fifty-six (256) questionnaires were used for the analysis. The study employed multiple regression model to determine the influence of infrastructure on rental values of residential properties in Awka while correlation co-efficient was used to determine the relationship between available infrastructures and rental values. It was found that annual rent increases when there is an increase in electricity supply, water supply and improvement on access roads. The study recommended that government should create an enabling environment for private sector participation in the development, management and improvement of infrastructure through policy formulation and establishment of a coordinating agency that will be involved in planning, development and maintenance of urban infrastructure in order to reduce existing deficiencies that affect residential real estate investment
A Dynamic E-Land Pricing Mechanism for Managing Residential Densities in a Medium Sized City in South West, Nigeria (Published)
This paper assesses dynamics of e-Land pricing mechanism for managing residential densities in a medium sized city in South West, Nigeria. Objectives of the research include assessment of e-land pricing interface, land price prediction and e-land pricing reform among others. Total number of buildings in the selected residential estates was counted using GIS and IKONOS Imagery, in Oke Ogba, Obele and Alagbaka with 2,723, 2,117 and 264 buildings respectively all amounting to 10% of the building count in the study area. Regression analysis was used to present, interpret and discuss research findings. The findings showed the main factors responsible for land pricing. The paper developed an electronic pricing interface for pricing policy formulation and implementation. Duly tested, the model was recommended for adaption by Ondo State Government in a joint effort with the land buyers, sellers, families and government to enhance the management of residential densities in the study area.
Residential Differences in Suicide Ideation through Physiological Effects of Electric Current among Secondary School Students in South East Nigeria (Published)
The study was designed to determine residential differences in suicide ideation through physiological effects of electric current among secondary school students in South east Nigeria. The cross-sectional survey research design was used to study 520 secondary students in the area under survey. A self-constructed suicide ideation inventory (SII) was used for the study. The SII consisted of 35 items which was grouped into six ideation areas. Face validity of the instrument was determined by five experts in psychology and health education. The reliability of the inventory yielded a Cronbach Alpha internal consistency coefficient of 0.89. This index was considered high enough based on Ogbazi and Okpala’s (1994) criteria of 0.60 acceptable for good instruments. Out of 520 copies of the questionnaire administered, 513 representing about 98.7% return rate, were used for analysis. Mean, standard deviation and t-test were used to analyze the data. While mean was used to describe the data; standard deviation was used to determine how the responses of the respondents vary and t-test statistic was used to analyze data in order to ascertain the differences in suicide ideation between the two categories of students. A mean of 2.50 and above was regarded as potentially dangerous suicide ideation and a mean below 2.50 was regarded potentially not dangerous. The results showed that students living in the rural area have a lower suicide ideation score than the students living in the rural area. However, no significant difference was found in the suicide ideation scores between students living in urban and rural areas. Health education intervention is required to further reduce the suicide ideation of both categories of students.