Evaluating and analysis of socio-economic variables on land and housing prices in Mashhad, Iran. (August 2018)

• Record Type: Journal Article
• Authors: Mirkatouli, Jafar; Samadi, Reza; Hosseini, Ali
• Is Part Of: Sustainable cities and society. Volume 41(2018)
• Page Start: 695
• Page End: 705
• Publication Date: 2018-08
• Subjects: Socio-economic variables -- Land and housing prices -- Social equity -- Mashhad -- Iran; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2018.06.022
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Providing empirical evidence of the links between socio-economic variables and land and housing prices in Mashhad. Variables such as income and occupation have the direct positive relationship with land and housing prices. Social indicators such as family size and history of residence have lower effect on land and housing prices in Mashhad. Abstract: This research aimed to investigate the role of socio-economic variables on the prices of land and housing in the city of Mashhad. From the results of the measured socio-economic variables of citizens, the highest coefficient was obtained by districts 1 and 9, while districts 5 and 3 had the lowest value. The existence of a positive and direct relationship between socio-economic variables of the residents and land and housing prices, and the significance of the test (at the level of 95%) were approved. The results of the impact of socio-economic variables on land and housing prices, using path analysis, showed that the variables of income, occupational status, and educational level had the highest effect on the price of land and housing, while variables of family size and history of residence had the lowest impact on the price. Furthermore, the coefficient of determination (0.780) obtained from path analysis diagram showed that 78% of the total changes of the dependent variable (the price of land and housing) were explained by the analytical model.