The relationship between the determinants of rental housing satisfaction and considering moving in Finland

Abstract

Purpose – The purpose of this paper is to discuss the relation between dissatisfaction with housing conditions and considering moving among residents of Finnish rental multifamily buildings. The paper examines physical attributes, socioeconomic factors, and subjective opinions related to housing conditions and satisfaction with housing. Design/methodology/approach – Logistic regression analysis is used to examine survey data to analyse which factors contribute to dissatisfaction with the housing unit and the apartment building and whether dissatisfaction is related to consideration of moving. Findings – The findings indicate that dissatisfaction with the building and individual housing unit are associated with greater probability of considering moving. Satisfaction with kitchen, living room, storage, and building age are the most important indicators of satisfaction with the housing unit, and satisfaction with living room, bathroom, storage, and building age are associated with satisfaction with the apartment building. These are the areas in which landlords could invest in renovations to increase satisfaction in an attempt to reduce turnover. Research limitations/implications – The study is conducted with Finnish data only. The sample is not a representative sample of the Finnish population. A longitudinal study would be needed to determine whether dissatisfied residents indending to move actually change residence. Originality/value – This study is the first of its kind in the Finnish housing market. It tests a general model that has been suggested to be customized to local conditions. In addition, much of the research on this topic is more than 20 years old. Examination of the model under current housing and socioeconomic conditions is necessary to determine if relationships have changed over time.

An Analysis of the Influence of Property Tax on Housing Prices in the Apulia Region (Italy)

“…This correlation, identified by the model, confirms the thesis widely reported in the literature about the ordinary importance of variable income in explaining the variations in residential property prices [18][19][20][21].…”

“…Potepan [19] has shown that household income and construction costs are the most important factors that influence housing prices in U.S. metropolitan areas. Gibler et al [20] have stressed, as regards the Finnish housing market, the predominance of income among the factors that have a positive influence on the decision to move house. Kryvobokov [21], comparing 81 regression models reported in the literature in order to determine, among the variables considered (demographic characteristics, income level of population, accessibility, planning and urban development characteristics, educational level of population, crime level, etc.…”

The Potential for Consumer Segmentation in the Finnish Housing Market

“…In their study of Helsinki renters, Juntto et al () find the housing feature creating the most widespread dissatisfaction among residents is storage. Another study of Finnish tenants reports that 42% are very or fairly unsatisfied with the storage in their multifamily buildings (Gibler, Tyvimaa, and Kananen ).…”

Contextualized Property Market Models vs. Generalized Mass Appraisals: An Innovative Approach

“…Generally focused on single-family houses and commercial properties [20][21][22][23], hedonic price modelling has been mainly used to assess the effects of social, environmental, and urban characteristics on property values [24][25][26][27][28][29][30], pointing out the weight of urban amenities [31][32][33][34][35][36], environmental externalities [37][38][39][40], access services and neighborhood attributes [41][42][43][44][45], and energetic factors [46][47][48]. Other studies have highlighted the influence of socio-economic factors on the property price formation [49][50][51][52]. Sdino et al [53] have developed a pluri-parametric hedonic price model for the rapid assessment of a large real estate portfolio in various real estate market segments.…”