Geography

Geography

Investigating the price and housing market in Abadeh

Document Type : Research Article

Authors
1 Department of Geography and Urban Planning, Faculty of Geography, University of Isfahan, Isfahan, Iran.
2 Department of Geography and Urban Planning, Faculty of Geography and Planning, Isfahan University, Isfahan, Iran.
Abstract
Extended Abstract 
Introduction
In our country, like other developing countries, in the past few decades, the increasing concentration of the population in the cities has faced these cities with many problems, including the provision of suitable housing, and as a result, Instability in cities and surrounding areas as well (Azizi, 2014: 26). The economic changes of the country and the impact of the housing sector have caused housing to become a ubiquitous problem, of course, with varying degrees of intensity and weakness. It provides a solution (Warshi, 1380 : 186).The ups and downs of the land market and the irregular increase in house prices in Fars province have caused the real estate buying and selling market in the northernmost city of Fars, namely Abadah, to face more stagnation, so that most of the real estate consultants are either closing down or Their business is depressed. The housing market has faced a severe recession since about five years ago, after the price increase, and the decrease in the purchasing power of the applicants led to a sharp decrease in the demand in the housing market and an increase in the mortgage and rental market.
 
Methodology
The method of the present research is descriptive and analytical in terms of its purpose and in terms of its nature and descriptive method. Library method (books, articles, documents, etc.) and field survey (questionnaire) were used to collect information. The statistical population of the research is specialists and experts in the field of urban and housing, 25 of them were selected as the sample size using the two-stage Delphi technique.The validity of the questionnaire made by the researcher was confirmed by the experts of the field and university professors, and the reliability of the research data was calculated using Cronbach's alpha test of /726. The research data were analyzed using statistical tests in the form of spss software as well as multi-criteria techniques. In this context, first through theoretical research studies, the research indicators were extracted and localized and set up in the form of a questionnaire. In the next step, the questionnaire was distributed and completed among the experts in the studied area and the data was in the form of software. SPSS software was entered and analyzed using one-sample t-tests, and finally, the importance, weight, and rank of each index were determined using DEMATEL and SWARA multi-criteria techniques.
 
Results and Discussion
According to the one-sample t-tests, the current status of the effective criteria on the housing price of Abadeh city from the average base level (3) was discussed.The results show that the current situation of housing prices in all indicators is not in a favorable situation. In other words, the average value of all indicators is higher than the base limit (3). In such a way that housing price criteria with an average of 3.33 have had the greatest impact on the housing price of Abadeh city. Among the indicators affecting the price of housing in Shahr Abadeh, the economic and financial index with a final weight of 0.278 ranks first, the administrative and management index with a weight of 0.231 ranks second, and the physical-spatial index with a weight of 0.193 ranks first. Thirdly, accessibility and distance index with a weight of 0.161 ranked fourth and finally social index ranked fifth with a final weight of 0.136. Among the indicators affecting housing prices in Abadeh city, the economic and financial criterion with the value of 18.655 has the most interaction and the physical-spatial criterion with the value of
 
18.589 has the least interaction, the economic and financial criterion with the value of 1.539 is the most influential factor and Social criterion with the value of 1.541 is the most influential factor.Figure number (4) shows how the impact and interaction of effective criteria on housing prices in Abadeh city.
 
Conclusion
The sick economy of developing countries, including Iran, and the problem of inflation in these societies, have turned investment in land into one of the most profitable businesses. It is obvious that these investors and land applicants, their scope of demand is more in areas where land and housing prices are growing and inflation is high. In this regard, the present research investigates and evaluates the housing market in Abadeh city in the direction of desirable housing.
In relation to the first question of the research, is Abadeh facing high housing prices? It is possible to refer to the results of the one-sample t-test that the results of the one-sample t-test show that the current situation of housing prices in all indicators is beyond the optimal level.In other words, the average value of all indicators is higher than the base limit (3). In such a way that the housing price criteria with an average of 3.33 have had the greatest impact on the housing price of Abadeh city. The second question of the research, what factors have had an effect on the price increase in the city of Abadeh? It can be mentioned the results of Swara and Dimtel technique that the results of SWARA technique indicate that among the indicators affecting the housing price of Abadeh city, the economic and financial index with a final weight of 0.278 is in the first place, and the administrative and management index with a weight of 0.231 in the second place, physical-spatial index with a weight of 0.193 in the third place, access and distance index with a weight of 0.161 in the fourth place and finally social index with a final weight of 0.136 in the fifth place.The results of the DEMATEL technique show that among the indicators affecting housing prices in Abadeh city, the economic and financial criterion with a value of 18.655 has the highest interaction and the physical-spatial criterion with a value of 18.589 has the lowest interaction. The value of 1.539 is the most influential factor and the social criterion with the value of -1.541 is the most influential factor.
 
 
Funding
There is no funding support.
 
Authors’ Contribution
All of the authors approved the content of
the manuscript and agreed on all aspects of
the work.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific
consultants of this paper.
 
 
 
Keywords

Subjects


  1. Abedini, A. (2015). Applied analysis of housing indicators in informal settlements, case study: Islam Abad District, Urmia Slaughterhouse, Housing and Village Environment, 34 (149), 51-66. [Persian]
  2. Ahmadi, K., Mahboubi, G. & Ezzatpanah, B. (2022). The effect of the physical elements of native architecture of housing on the sustainability of urban housing, case study: Sanandaj city, Geography Quarterly (Scientific-Research and International Quarterly of the Geographical Society of Iran), 20 (73), 19-36. [Persian]
  3. Ahmadi, V. (2011). The Pathology of the Iranian Housing Market, Chook Ashtian Press, Tehran. https://library.vru.ac.ir/Inventory/100/49424.htm
  4. Arnott, R. (2008). Housing Policy in Developing. Countries: The Importance of the Informal Economy, World Bank, Commission on Growth and Development, Pp.11-20.
  5. Askari, A. & Qaderi, J. (2002). Hedonic model of housing price determination in urban areas of Iran, Economic Research, 2 (4), 108-91. [Persian]
  6. Azizi, M. M. (2005). An analysis of the location and transformation of urban housing indicators in Iran, Fine Arts scientific and research publication, No. 23, 25-84. [Persian]
  7. Bezi, Kh. & Javaheri, A. (2012). Study of spatial and geographical differentiation in neighborhoods of Zabol in terms of healthy housing indices. Geography and Environmental Planning, 22(43), 185-202.
  8. Brady Anamarad Nejad, R. (2015). Evaluation of the quantitative and qualitative characteristics of housing in Iran during the years 1390-1345, Urban Research and Planning, Volume 6, Number 20, pp. 35-50. [Persian]
  9. Case, K.E. & Shiller, R.J. (1987). Prices of single-family homes since 1970: new indexes for four cities, New England Economic Review, September/October. https://www.nber.org/papers/w2393
  10. Farhoudi, F. & Karim Khan, A. (2011). An Analysis of Supply and Demand for Housing in District One of Tehran. Geographic Perspectives (Human Studies).
  11. Farji Sabokbar, H.A., Hosseini, A., Ashornjad, G., Soleimani, H., Shiripour, M. & Ahmadtozeh, V. (2015). Analysis and evaluation of residential development in the urban areas of East Azarbaijan province with a new combination of multi-criteria decision-making methods, Aamish Journal of Space Geography,  5 (17),  27-54. [Persian]
  12. Ghasemi Qasmond, E. (2015). Analysis and evaluation of the urban housing situation with a sustainable development approach, case example: Saman city, master's thesis in geography and urban planning, under the guidance of Isai Ebrahimzadeh, University of Sistan and Baluchistan, Faculty of Geography and Environmental Planning, Zahedan. [Persian]
  13. Ghoguill, CH. (2007). The search for policies to support sustainable housing. Habitat international,31,pp:143-149.
  14. Ghorbani, R., Mahmoudzadeh, H. & Hosseinpour, M. (2018). Evaluation of housing physical indicators with a sustainable development approach (case study: areas 2 and 4 of Tabriz city), Geography Quarterly (scientific-research and international journal of the Geographical Society of Iran), 16 (56), 90-107. [Persian]
  15. Goodman, A.C. & Thibodeau, T.G. (2003). Housing market segmentation and hedonic prediction accuracy, Journal of Housing Economics, 12(3), pp 181–201.
  16. Keršulienė, V. Zavadskas, E. K, & Turskis, Z. (2010). Selection of Rational Dispute Resolution Method by Applying New Step-wise Weight Assessment Ratio Analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.
  17. Kurian,S.M. & Thampuran, A. (2011). Assessment of Housing Quality. Institute of Town Planners, India Journal,8(2), 74-85.
  18. Maher, C (1994). Housing prices and Geographical Scale: Australian Cities in 1980, Urban Studies, 31, 5- 27.
  19. Maleki, S. (2011). Investigating the status of quantitative and qualitative social indicators of housing in Ahvaz city, Geographical Space, Volume 11, Number 36, pp. 103-130. [Persian]
  20. Mohammadi, J., Shahsuni, M. & Sharifi, N. (2013). Investigating the housing situation in informal settlements and presenting strategies for organizing it (case example: settlements located within 5 to 10 km of Bushehr nuclear power plant), spatial planning (geography), 3rd term, No. 1, pp. 75-100. [Persian].
  21. Nasrullahi, Kh. & Aza Gholami, A. (2013). Analysis of the effect of bank facilities on housing prices in Iranian metropolises, Trend Quarterly, 20 (63), 15-38. [Persian]
  22. Nelson, D.L. Campbell, & Organization Behavior, J.  (2008). 5th Ed., Thomson, South Western. https://www.amazon.com/Business-Communication-Process-South-Western
  23. Pourahmad, A., Grossi, A. & Nouri, A. (2013). Evaluation of housing indicators of Nazarabad city with the approach of Salem city, physical-spatial planning journal, 2 (4), 21-33. [Persian]
  24. Pourahmad, A., Ziyari, K., Yousefy, R. & Hajilo, M. (2016). Analysis of quantitative and qualitative indicators and housing planning in Zanjan city, Amaish Muhit, 9 (33), 1-23. [Persian]
  25. Pourmohammadi, M.R. (2009). Housing programming, 6th edition, Samet Publications, Tehran. [Persian]
  26. Rezaei, B., Pakdel Fard, M.R., Satari Sarbangali, H. & Akbari Namdar, Sh. (2021). The level of satisfaction of Mehr housing residents from the physical-social dimension in the new city of Sahand, a case study: Aftab complex, (Quarterly scientific-research and international journal of the Geographical Society of Iran), 19 (69), 53-69. [Persian]
  27. Rezaei-Rad, N. & Rafiyan, M. (2012). Measuring the spatial quality of housing in the city of Sabzvar using an analytical method, Faculty of Arts Quarterly, 4 (8), 95-109. [Persian]
  28. Shabani, M. & Rafiyan, M. (2015). Analysis of indicators of urban creativity in the residential system of Mazandaran Province, Quarterly Journal of Geography and Urban-Regional Studies, 5 (16), 19-34. [Persian]
  29. Soqaei, M., Moezni, A. & Sanairad, A. (2019). Social housing and factors affecting the provision of housing for low-income groups (case example: Islamshahr), Geography (scientific-research and international quarterly of the Geographical Society of Iran), 17 (63), 179-195. [Persian]. https://www.sid.ir/paper/380199/fa
  30. Sultani, A., Judi, M., Hosseini, A. & Askari, S. (2014). An analysis of the socio-economic characteristics of Mehr housing residents, a case study of the cities of Shiraz, Firozabad, Abadeh, Noorabad and Estehban, Urban and
  31. Regional Studies and Researches, 6 (22), 67-84. [Persian]
  32. Taqvai, M. & Ali Akbari, A. (2018). Evaluation of the level of satisfaction with institutional housing in the city of Isfahan, Geography (scientific-research and international quarterly of the Geographical Society of Iran), 16 (59), 139-160. [Persian]
  33. United Nations. (2018). Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2018 Revision, (ST/ESA/SER.A/366).
  34. Varesi, H.R. (2002). An analysis of the characteristics and performance of the housing sector in the city of Isfahan, Isfahan University Faculty of Literature and Humanities Journal, No. 26 and 27, 185-198. [Persian]
  35. World Health Organization. (2004). Review ofEvidence on Housing and Health, Fourth Ministerial Conference on Environmental and Heath, Budapest, Hungary.
  36. Zanganeh, Y. (2009). An introduction to urban economy, Sabzevar: Tarbiat Moalem University Publications. [Persian]