جستجوی مقالات مرتبط با کلیدواژه « فقر مسکن » در نشریات گروه « علوم اجتماعی »

Border areas hold special significance at both the national and cross-border levels; however, they are often considered less developed and face numerous challenges. One of these challenges is the phenomenon of housing poverty. This research aims to identify the factors influencing rural housing poverty in border villages of Taybad County. The research methodology is descriptive-analytical in nature and has practical applications. Data were collected through library research and fieldwork (interviews) and analyzed using the grounded theory approach. The statistical population of this study consists of 17 inhabited villages located between Taybad and the Afghanistan border. The sample selection was conducted using purposive sampling method based on the criteria of experts relevant to the subject.

The findings of the research, obtained through a systematic grounded theory approach with a focused and systematic analysis of data in the stages of open, axial, and selective coding, identified the influential factors of housing poverty in the border villages of Taybad County, including economic, social, physical, environmental, and political-administrative factors.

The research results demonstrate that economic, social, physical, environmental, and political-administrative factors are influential in housing poverty in the border villages of Taybad County. Consequences such as intergenerational poverty, persistent poverty, and migration were identified. In this regard, strategies such as investment in employment sector, growth and increase in resilience credits, and attention to infrastructure and service provision are proposed as means to address these challenges.

The purpose of this research is study of poverty comparatively in several regions of Tabriz. The research method is survey and its statistical population is families inhabited in Tabriz who are 391860 families. Stratified sampling was selected and sample size of 400 was estimated using Cochran Model. The data were collected using a questionnaire. Descriptive statistical analysis and ANOVA and Tukey were used to analyze the data. Total level of poverty achieved by calculating the total number of cultural poverty, positional poverty, related poverty, and housing poverty. The level of each of the mentioned dimensions were compared and tested in different regions of Tabriz. The results of ANOVA suggest that there are significant differences between poverty and its dimensions in 10 municipal region of Tabriz. Also the test of Tukey presents these differences more significantly.