Mental pattern of investment demand for housing in urban areas by Grounded Theory

Optimal housing selection is one of the most important challenges in housing demand, which most people, especially housing investors, are facing. Although there is an overall agreement on the importance of the budget role on choosing the house, the model that uniquely measures the role and impact of all the factors of investment demand for housing has not been presented and no clear explanation is made. Considering the central role of budget constraints, behavioral and control factors in investment demand, this research carried out in the framework of the qualitative (method of data research method) and quantitative (polynomial logistic method) approach to explaining the mental pattern of investment demand for housing in Tabriz. The data were obtained from semistructured interviews of 12 experts familiar with the issues of housing capital and distributing a questionnaire among 720 households in Tabriz. The result revealed 250 code, 20 concepts, and 4 categories, based on which the qualitative research model was designed. Also, the results of estimating the logit model using the STATA software indicate that important factors such as welfare and comfort aspects with a coefficient of 0.8292, access to urban services with a coefficient of 0.2287 and proximity to relatives with the coefficient of 0.2199 have had a positive and significant effect on the capital investment demand. But the close proximity of the household header with the coefficient of 0.2014 has a negative impact on the choice of housing capital.