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Studying the Influence of Construction Projects of Tehran Municipality on the Cost of Home in Iran-Tehran


Affiliations
1 Islamic Republic of Iran, Iran, Islamic Republic of
     

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The influence of various effective factors on urban economy is manifested in the cost of house and land. Population changes, large scale and regional policymaking, performing urban projects and labour market developments are among the most important and influential issues on the economy of land and urban housing. On the other hand, changes in the cost of land and house cause changes in supply of house or construction in the whole land and house market.

In the literature of economy, cost is the most important factor which determines the behaviour of the customerwho tries to optimize hisdemand and favourability based on his budget and goods' cost. Construction projects like building roads, highways, tunnels, bridges, etc. contribute to the cost of housing in a region.

This research is an analysis of influential factors (land cost, total municipal costs, municipal construction costs, the construction costs of each region, total costs in each region) on the cost of house (regardless of factors like liquidity, coin and exchange rate, demand growth, etc.) over the period of 2005 to 2011.

In this research, we have used housing cost based on the econometric model through Minitab 16 software. To test the hypothesis, the basic data about 22 municipal districts of Tehran were examined using collinearity test and Breusch–Pagan autocorrelation test.

The results suggest that there is a negative meaningful relationship between tax avoidance and corporate transparency and also firm value.


Keywords

Municipal Construction Costs, Econometrics, Housing Cost, Construction Projects.
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  • Akbari , N., & Associate (2004). Determine the effective factors on house price in mashhad city. Economic Researches Quarterly Periodical, 11.

  • Apergis, N. (2003). Housing prices and macroeconomic factors: Prospects within the european monetary union. International Real EstateReview, 6, 63-74.

  • Asgari, H., & Almasi, E. (2007). Determine the effective factors on house price in the city region/areas of the country through/by sigh board data method. (1991-2006), House Economic Quarterly Periodical, 90, 19-96.

  • Baffoe-Bonnie, J. (1998). The dynamic impact of macroeconomic aggregates on housing prices and stock of houses: A national and regional and analysis.Journal of Real Estate Finance and Economics, 17, 179-197.

  • Beltratti, A., & Morana, C. (2010).International housing prices and macroeconomic fluctuations. Journal of Banking and Finance, 34,533-545.

  • Davidoff, T. (2005). A House price is not A Home Price: Land Structures and the Macro-economy, Hass University of Business.

  • Del Negro, M. & C. Otrok. (2007). Monetary policy and the house price boom across US States. Journal of Monetary Economics, 54, 1962-1985.

  • De Lucia, C. (2007). Did the FED Inflate a Housing Price Bubble? A Cointegration Analysis between the 1980s and the 1990s. BNP Paribas، Paris ،France, Working paper no. 82.

  • Economic studies group/teams.(2010). Determination of housing market situation and the effective factors on the market (Research and development-manager report.

  • Esfandiari, M. (2004). Determine the house hedoni function in Esfahan in (1998 - 1992) years. Journal of Administrative Sciences and Economic of Esfahan University, 16(3,4).

  • Eskandari, F. (2006). Determine the relationship between house price and business cycles, M.A.(thesis). University of Humanities Sciences, Faculty of Boualisina.

  • Gajrati, D. (2011) economic measurement (Principals translator: Hamid Abrishami), (2nd ed.), Tehran, Tehran university Publishing corporation, (10thed.).

  • Gholizaheh, A. A., & Kamyab, B. (2009). Determination of the influence/impact money policy on the house price Bubble internal country study. Economic Researches Quarterly Periodical, 92. Autumn, 89.

  • Gholizadeh, A. A., & Kamyab, B. (2009). Determination of the influence/impact of money policy housing price Bubble I the Prosperity and Stagnation cycle in Iran. Quantity/Quantity Economic Quarterly Periodical.

  • Gholizadeh, A. A., & Kamyab, B. (2010). Determination of the Reaction/Responsive of money Policy on Housing Price Bubble, case study in Iran: Iran. Journal Economic Researches, 92.

  • Gimeno, R., & Martinez-Carrascal, C. (2010). The relationship between housing prices and house purchase loans: The Spanish case. Journal of Banking and Finance, 34, 1849-1855.

  • Iran statistical center, statistical year book, different years/calendar. Iranian Economy. Retrieved from www.iraneconomy.ir

  • Islamic Republic of Iran Central Banking, economic index, different years.

  • Jafari , S., Ahmad, Z. E., & Hadizadeh, A. (2007). The effective factors on determining house price criteria behavior in Iran. Economic Quarterly Periodical Researches, (9th Ed.), 22, 31-56 .

  • Javadi, A. (1999). The evaluation politics in the relm of city land in Iran purpose of government performance co/functional analysis and the recognition of land seminar (congress) papers and city development, and Iran urbanization planning city architectural and studies center, 165-182.

  • Khiabani, N. (2003). Determination of factors of house Price in Iran, House Economic Journal, 39, pp. (39-93-56).

  • Khoshakhlagh, R., & others, (2008).Estimation of house demand function through hedonic price modeling case study : Khomeini shahr. Journal of Economic Researches, 66, 99-177.

  • Lastrapes, W. D. (2002). The real price of housing and money supply shocks: time series evidence and theoretical simulations. Journal ofHousing Economics, 11, 40-74.

  • Mashregh News. Retrieved from www.mashreghnews.ir M., & Lang, H. (2005). Characteristics and Macroeconomic Drivers of Housing 6- Price Changes in Australia", www.u21 global.edu.sg/PartnerAdmin/

  • McQuinn, K., & O'Reilly, G. (2008). Assessing the role of income and interest rates in determining housing prices. Economic Modeling, 25, 377-390.

  • Meidani, A. A. N., Falahi, M. A., & Zabihi, M. (2010) Determination of the effect/impact of dynamism/activeness of economic factors on house Price fluctuations in Iran, house price fluctuations (1990 to 2007). Journal of Knowledge and Developments (18th Ed.), 31.

  • Ming-Chin, C., & Patel, K. (1998). House Price Dynamics and Granger Causality: An Analysis of Taipei New Dwelling Market. Journal of the Asian Real Estate Society, 1(1), 101-126.

  • Nasiri, E. (2008). The analysis of the effective factors on city house price market fluctuations, University of Payame Nour.

  • Nasrolahi, K., Tayebi, S. K., & others (2004). 23-Determination of the approach of Holland illness performance/functional and the effect of banking facilities rates on housing price in Iran through self-explaining and pause/halt. (ardl). Economic House Scientific,43, 29-50.

  • Ortalo-Magne, F., & Rady, S. (1999). Boom in, bust out: Young households and the housing price cycle.European Economic Review, 43,755-766.

  • Ortok, C., & Terrones, M. E. (2005). Housing prices, interest rates and macroeconomic fluctuations: International evidence.University of Virginia.

  • Pour, A. Z. (2006). Determination effect of social and economic factors on Iran house price. M A thesis economic, University of Shiraz.

  • Rahimpour, A., & Ghahani, S. A. Determination of effective factors on house market demand and supply. Demand Snd Supply,Islamic Republic of Iran Central Banking, economic statistical administrative.

  • Selim, H. (2008). Determinants of housing prices in Turkey: Hedonic regression versus artificial neural network. Expert System with Application. Tehran municipital settlement of Budget report (2005-2011).

  • Tehran Press.Retrieved fromwww.tehranpress.com Varesi, H. R., & Mousavi, M. (2010) Determination of the effective factors on housing price through hedonic modeling.

  • Price.The case study. 3 region/area of yazd. , environmental studies and geographical quarterly periodical , 1 years, one year, 3.

  • Zarenejad, M., & Anvari, E. (2006). Assessment PFAhvaz hedonic price function through combination data (information) method.Iran economic Researches Journal, 28, 132-168.

  • Zerang, E. A. (2002). The role of Banking facilities on market fluctuations in the city region/areas economic. M.A. thesis, Faculty of economic and social sciences, university of Alzahra.

  • Ziari, K., & Dehghan, M. (2003). Determine house Position and condition and planning in Yazd. Soffeh Journal, 36, 63-75. University of Shahid Beheshti


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  • Studying the Influence of Construction Projects of Tehran Municipality on the Cost of Home in Iran-Tehran

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Authors

Mehdi Alizadeh
Islamic Republic of Iran, Iran, Islamic Republic of
Hossein Ojaghi
Islamic Republic of Iran, Iran, Islamic Republic of

Abstract


The influence of various effective factors on urban economy is manifested in the cost of house and land. Population changes, large scale and regional policymaking, performing urban projects and labour market developments are among the most important and influential issues on the economy of land and urban housing. On the other hand, changes in the cost of land and house cause changes in supply of house or construction in the whole land and house market.

In the literature of economy, cost is the most important factor which determines the behaviour of the customerwho tries to optimize hisdemand and favourability based on his budget and goods' cost. Construction projects like building roads, highways, tunnels, bridges, etc. contribute to the cost of housing in a region.

This research is an analysis of influential factors (land cost, total municipal costs, municipal construction costs, the construction costs of each region, total costs in each region) on the cost of house (regardless of factors like liquidity, coin and exchange rate, demand growth, etc.) over the period of 2005 to 2011.

In this research, we have used housing cost based on the econometric model through Minitab 16 software. To test the hypothesis, the basic data about 22 municipal districts of Tehran were examined using collinearity test and Breusch–Pagan autocorrelation test.

The results suggest that there is a negative meaningful relationship between tax avoidance and corporate transparency and also firm value.


Keywords


Municipal Construction Costs, Econometrics, Housing Cost, Construction Projects.

References