The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran
Nowadays, the housing market and related issues are global matters that have attracted the attention of planners and policymakers. So housing price estimation is Fundamental for public and private investors. The environmental characteristics of a place, such as green space, are one of the determinin...
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| Format: | Article |
| Language: | English |
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Gorgan University of Agricultural Sciences and Natural Resources
2022-07-01
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| Series: | Environmental Resources Research |
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| Online Access: | https://ijerr.gau.ac.ir/article_6611_912b75832e41e09d8b399f15061765fe.pdf |
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| author | Gholamhosein Moradi Elham Operajuneghani Farnaz Dehghan Benadkuki Sajad Ghanbari Mostafa Moradi |
| author_facet | Gholamhosein Moradi Elham Operajuneghani Farnaz Dehghan Benadkuki Sajad Ghanbari Mostafa Moradi |
| author_sort | Gholamhosein Moradi |
| collection | DOAJ |
| description | Nowadays, the housing market and related issues are global matters that have attracted the attention of planners and policymakers. So housing price estimation is Fundamental for public and private investors. The environmental characteristics of a place, such as green space, are one of the determining factors in housing prices. Therefore, this research has been conducted to investigate the effect of green space on the price of surrounding houses in the Ghadir park of Yazd in central Iran. The sample size was determined using Cochran relation. The data have been collected by a questionnaire, referring to real estate agencies and maps. The ordinary least squares regression method and Eviews 9 software were used to analyze the data. Then, a model was proposed for estimating the hedonic price function of the study area. According to the results, from 15 independent variables, variables of reconstruction, number of floors, number of bedrooms, distance to the main street, distance to the city center, and distance to park have a significant relationship with the price of housing units (P≤0.05). The adjusted coefficient of determination (R2) was equal to 0.918. Using the hedonic method, it is concluded that although environmental goods such as parks and green spaces are not exchanged in the market, families pay for them in reality. |
| first_indexed | 2024-03-08T01:58:05Z |
| format | Article |
| id | doaj.art-a5b51c628f5d41b692218d8b0505c71b |
| institution | Directory Open Access Journal |
| issn | 2783-4832 2783-4670 |
| language | English |
| last_indexed | 2024-03-08T01:58:05Z |
| publishDate | 2022-07-01 |
| publisher | Gorgan University of Agricultural Sciences and Natural Resources |
| record_format | Article |
| series | Environmental Resources Research |
| spelling | doaj.art-a5b51c628f5d41b692218d8b0505c71b2024-02-14T08:34:18ZengGorgan University of Agricultural Sciences and Natural ResourcesEnvironmental Resources Research2783-48322783-46702022-07-0110227929010.22069/ijerr.2023.20465.13836611The Effect of Green Spaces on Housing Prices Using Hedonic Method in IranGholamhosein Moradi0Elham Operajuneghani1Farnaz Dehghan Benadkuki2Sajad Ghanbari3Mostafa Moradi4Associate Professor, Department of Natural Resources & Desert Studies, Yazd University, Yazd, IranMSc student, Department of Economics, Yazd University, Yazd, IranMSc student, Department of Economics, Yazd University, Yazd, IranAssociate Professor, Department of Forestry, Faculty of Agriculture and Natural Resources, University of Tabriz, Ahar, IranAssociate Professor, Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, IranNowadays, the housing market and related issues are global matters that have attracted the attention of planners and policymakers. So housing price estimation is Fundamental for public and private investors. The environmental characteristics of a place, such as green space, are one of the determining factors in housing prices. Therefore, this research has been conducted to investigate the effect of green space on the price of surrounding houses in the Ghadir park of Yazd in central Iran. The sample size was determined using Cochran relation. The data have been collected by a questionnaire, referring to real estate agencies and maps. The ordinary least squares regression method and Eviews 9 software were used to analyze the data. Then, a model was proposed for estimating the hedonic price function of the study area. According to the results, from 15 independent variables, variables of reconstruction, number of floors, number of bedrooms, distance to the main street, distance to the city center, and distance to park have a significant relationship with the price of housing units (P≤0.05). The adjusted coefficient of determination (R2) was equal to 0.918. Using the hedonic method, it is concluded that although environmental goods such as parks and green spaces are not exchanged in the market, families pay for them in reality.https://ijerr.gau.ac.ir/article_6611_912b75832e41e09d8b399f15061765fe.pdfenvironmental economicshedonic pricing modelparknon-market servicesurban green space |
| spellingShingle | Gholamhosein Moradi Elham Operajuneghani Farnaz Dehghan Benadkuki Sajad Ghanbari Mostafa Moradi The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran Environmental Resources Research environmental economics hedonic pricing model park non-market services urban green space |
| title | The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran |
| title_full | The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran |
| title_fullStr | The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran |
| title_full_unstemmed | The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran |
| title_short | The Effect of Green Spaces on Housing Prices Using Hedonic Method in Iran |
| title_sort | effect of green spaces on housing prices using hedonic method in iran |
| topic | environmental economics hedonic pricing model park non-market services urban green space |
| url | https://ijerr.gau.ac.ir/article_6611_912b75832e41e09d8b399f15061765fe.pdf |
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