Accurate pricing of the property market is necessary to ensure effective and efficient decision making. Property price is typically modelled using the hedonic price model (HPM). This approach was found to exhibit aggregation bias due to its assumption that the coefficient estimate is constant and fails to consider variation in location. The aggregation bias is minimized by segmenting the property market into submarkets that are distinctly homogeneous within their submarket and heterogeneous across other submarkets. Although such segmentation was found to improve the prediction accuracy of HPM, there appear to be conflicting findings regarding what constitutes a submarket and how the submarkets are to be driven. This paper therefore reviews relevant literature on the subject matter. It was found that, initially, submarkets were delineated based on a priori classification of the property market into predefined boundaries. The method was challenged to be arbitrary and an empirically statistical data-driven property submarket classification was advocated. Based on the review, there is no consensus on the superiority of either of the methods over the another; a combination of the two methods can serve as a means of validating the effectiveness of property segmentation procedures for more accurate property price prediction.
This study aims to assess the Public infrastructure provision in Bauchi Metropolis, Nigeria, to propose areas of improvement. The study adopted the use of a quantitative approach and data were collected through a questionnaire survey from 382 house head holds proportionate selected from the target population in Bauchi metropolis. The data collected were subjected to descriptive with mean ranking, frequency distribution. The study revealed that communication facilities were the most provided facility provision, followed by market facilities and water facilities provision. Solid waste disposal facilities and fire protection services were the least facilities provided in the study area. It recommended that public infrastructural facilities provided in the area should be based on the resident's preference and need.
This study aims to assess landholder's awareness of compulsory acquisition of land on their satisfaction with the compensation process in Bauchi, Nigeria, to identify areas of weakness in the process and propose areas of improvement. The study adopted the use of a quantitative approach and data were collected through a questionnaire survey from 327 landholders affected by the compulsory acquisition and compensation exercise by the Bauchi State Government. The data collected were subjected to descriptive with mean ranking, frequency distribution. The study revealed that the respondents are aware of the process before the compulsory acquisition and during the process of compulsory acquisition they were also aware of. This means that the respondents agreed that they were aware of the process/procedures involved in compulsory land acquisition, laws, and procedures guiding compulsory land acquisition and compensation process. It recommended that Landholders should be made more aware of the process involved in compulsory acquisition and compensation not only at inception but up to the end of the exercise.
This research aims to assess Landholder's satisfaction with the compulsory acquisition and compensation process in Bauchi to identify areas of weakness in the process and propose areas of improvement. The study adopted the quantitative approach and data collected through questionnaire survey from 327 landholders affected by the compulsory acquisition and compensation exercise by the Bauchi State Government. The data collected were subjected to descriptive with mean ranking, frequency distribution. The study revealed that landholders were very satisfied before the process of compulsory acquisition, during the process of mandatory purchase, they were also happy. Still, during the compensation process, they were very dissatisfied. It recommended that the Government should make the process of compensation more transparent.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.