Mental pattern of investment demand for housing in urban areas by Grounded Theory
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 402
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJHCUM-4-1_004
تاریخ نمایه سازی: 4 خرداد 1398
Abstract:
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 semi-structured 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.
Keywords:
Authors
M. Shirafkanlamso
Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
P. Mohammadzadeh
Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
D. Behboudi
Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :