جستجوی مقالات مرتبط با کلیدواژه « land price » در نشریات گروه « اقتصاد »

The Objective of this research is to study the relationship between land price and housing prices in Iran according to the mutual causation perspective. Based on Haizhen and Allen (2013) model and using a simultaneous equations system and two-stage least squares method to study the issue between the first quarter of 1998 to the fourth quarter of 2012. The results of Toda and Yamamoto causality and Hausman test indicates that there are bilateral causality between land prices and housing prices and the results of two-stage least squares method indicate that rising land prices have increased housing prices and rising housing prices have increased land prices. It is suggested that due to the special characteristics of land such as (no depreciation and low maintenance costs), reduced the storage of land by using tax and interdiction and specific incentive policies and led to the proportional transfer in supply and demand for land by reducing unemployment and rising income and demand.

urbanization process has been faced with servicing inequalities, population distribution, and unbalanced urban growth in developing countries. Instability caused by the unbalanced growth has been represented in the form of lack of spatial-social balances with manifestations of urban poverty, informal housing and employment, and environmental pollution. This research studies existing social and spatial inequalities in different areas and districts of Yazd City and their relationship with each other. Research methodology is descriptive-analytical and necessary data have been collected through library method and mostly using the information of Yazd detailed plan in 2009. Ranking Yazd areas and districts regarding social development using 15 indexes and TOPSIS and Taxonomy method showed that district 3, areas 2-2 are in the first rank, and area 1-2 is in the last place. Choosing the average of land price as a criterion for assessing economic inequality among different areas of the city and comparing this index using ANOVA test indicate that there is a difference among different areas of Yazd so that area 2-3 has the highest value and area 1-1 has the least. Correlation test among the rate of social development of areas and land price in them done with Pearson’s correlation coefficient indicates significant and positive relationship between these two variables. Thus, we consider increase in land price in line with social development rise in different areas of Yazd city.

In this study, we employ hedonic modeling to explain price of land, utilizing a unique dataset for Tehran. The dataset contains actual transaction records for Tehran's Zone 8 in 2010. Our results are consistent with the urban economic theories: Variables such as lot size, social status of neighborhood and permitted building volume have positive effects on the price of land, but the distance of land from places such as parks and highways has a negative effect on it. The parametric estimators are also compared to more flexible semi parametric estimators which do not improve the results.