Shyshchenko, P. G., Havrylenko, O. P., Tsyhanok, Ye. Yu., & Bilous, L. F. HOUSING PRICES AS PAYMENT FOR ECOSYSTEM SERVICES OF URBAN GREEN SPACES: CASE STUDY IN KYIV

DOI: 
https://doi.org/10.15407/ugz2024.02.033
Ukr. geogr. z. 2024, No. 2:33-42
Український географічний журнал (Ukrainian Geographical Journal) 2024 (2)
Language of publication: 
Ukrainian
Full text: 
PDF icon UGJ_2024_2_3_3_Шищенко_Гавриленко.pdf
Authors: 

Shyshchenko, P. G. 1, 
Havrylenko, O. P. 2, 
Tsyhanok, Ye. Yu.2, 
Bilous, L. F., 2 

1 National Academy of Educational Sciences of Ukraine, Kyiv
2 Taras Shevchenko National University of Kyiv
Abstract: 
The purpose of the study is to analyze the impact of the availability of urban green spaces (UGS) and air quality on the cost of residential real estate in Kyiv. Additionally, it seeks to identify the level of awareness among city residents regarding the advantages of living close to UGSs in areas with relatively clean air and their willingness to pay a higher price for such housing. The QGIS software was employed to assess the pedestrian and time accessibility levels of recreational green spaces, and the results are depicted on the corresponding map. The least accessible for everyday recreation is the UGS in the central districts of the city, which traditionally have the highest population density and the most expensive residential real estate. The article analyzes the priority criteria for determining the housing cost, depending on the spatial localization relative to the city center and the comfort class of real estate. The distribution of housing across different tiers and the price range for the apartments in new constructions in Kyiv during 2015–2021 were also examined. To identify the correlation between the cost of residential real estate in the capital’s new buildings and the availability of green spaces nearby, we investigated the spatial distribution of prices in the largest residential complexes in the city. The results of spatial visualization obtained through Voronoi diagrams or Delaunay triangulation indicate significant disparities in the cost of housing located in the center of Kyiv or on the periphery. Logically, residential complexes with the highest apartment prices are located in the central districts of Kyiv and near the metro stations. However, most of these locations lack accessible green areas suitable for everyday recreation. Therefore, there is no positive correlation between housing prices and the presence of UGSs nearby. To achieve the research goal, we also conducted a sociological survey among Kyiv residents in various districts of the city. The survey results indicate that most Kyiv residents do not have the desire or are not currently willing to pay a higher price for the opportunity to live near a park or forest and breathe clean air, i.e., to enjoy the ecosystem services provided by UGSs fully. The scientific novelty of the research lies in determining the pedestrian and time accessibility of recreational green spaces in Kyiv, identifying trends in spatial clustering of the most expensive residential real estate in central city areas, and demonstrating the lack of a positive impact of the availability of green areas on the per square meter cost of housing in new developments. Additionally, the study reveals a remarkably low willingness of the city residents to pay a higher price for the opportunity to receive ecosystem services from available UGSs.
 
Key words: 
місто Київ, міські зелені зони, екосистемні послуги, вартість житлової нерухомості, пішохідна доступність рекреаційних зелених зон, соціологічне опитування
Pages: 
33-42
References: 
1. Xue, W., Li, X., Yang, Z., & Wei, J. (2022). Are House Prices Affected by PM2.5 Pollution? Evidence from Beijing, China. International Journal of Environmental Research and Public Health, 19(14): 8461.
DOI: https://doi.org/10.3390/ijerph19148461

2. Das, R. C., Chatterjee, T., Ivaldi, E. (2022). Nexus between Housing Price and Magnitude of Pollution: Evidence from the Panel of Some High-and-Low Polluting Cities of the World. Sustainability, 14: 9283.

DOI: https://doi.org/10.3390/su14159283

3. Costanza, R., d'Arge, R., de Groot, R., Farber, S., et al. (1998). The value of the world's ecosystem services and natural capital. Ecological Economics, 25(1): 3-15.

DOI: https://doi.org/10.1016/S0921-8009(98)00020-2

4. Bolund, P., & Hunhammar, S. (1999). Ecosystem services in urban areas. Ecological Economics, 29(2): 293-301.

DOI: https://doi.org/10.1016/S0921-8009(99)00013-0

5. Wu, J., Wang, M., Li, W., Peng, J., & Huang, L. (2015). Impact of Urban Green Space on Residential Housing Prices: Case Study in Shenzhen. Journal of Urban Planning and Development, 141(4).

DOI: http://dx.doi.org/10.1061/(ASCE)UP.1943-5444.0000241

6. Trojanek, R., Gluszak, M., & Tanas, J. (2018). The effect of urban green spaces on house prices in Warsaw. International Journal of Strategic Property Management, 22(5), 358-371.

DOI: https://doi.org/10.3846/ijspm.2018.5220

7. Czembrowski, P., Łaszkiewicz, E., Kronenberg, J., Engström, G., Andersson, E. (2019). Valuing individual characteristics and the multifunctionality of urban green spaces: The integration of sociotope mapping and hedonic pricing. PLoS ONE, 14(3): e0212277.

DOI: https://doi.org/10.1371/journal.pone.0212277

8. Daams, M. N., Sijtsma, F. J., & Vlist, A. J. van der. (2016). The effect of natural space on nearby property prices: Accounting for perceived attractiveness. Land Economics, 92(3): 389-410.

DOI: https://doi.org/10.3368/le.92.3.389

9. Panduro, T. E., & Veie, K. L. (2013). Classification and valuation of urban green spaces-A hedonic house price valuation. Landscape and Urban Planning, 120: 119-128.

DOI: https://doi.org/10.1016/j.landurbplan.2013.08.009

10. Lategan, L., Steynberg, Z., Cilliers, E. J., & Cilliers, S. S. (2022). Economic Valuation of Urban Green Spaces across a Socioeconomic Gradient: A South African Case Study. Land, 11(3): 413.

DOI: https://doi.org/10.3390/land11030413

11. Gavrylenko, O., & Tsyhanok, Ye. (2018). Landscape analysis for the optimization of nature protection management in the urbanized environment. Ukrainian geographical journal, 1, 24-29.  [In Ukrainian] [ Гавриленко О. П., Циганок Є. Ю. Ландшафтознавчий аналіз для оптимізації природоохоронного природокористування в урбанізованому середовищі. Укр. географічний журнал. 2018. № 1. С. 24-29. ] 

DOI: https://doi.org/10.15407/ugz2018.01.024

12. Song, Y., Chen, B., Ho, H. C., Kwan, M.-P., Liu, D., Wang, F., Wang, J., Cai, J., Li, X., & Xu, Y. (2021). Observed inequality in urban greenspace exposure in China. Environment International, 156: 106778.

DOI: https://doi.org/10.1016/j.envint.2021.106778

13. Wolch, J. R., Byrne, J., & Newell, J. P. (2014). Urban green space, public health, and environmental justice: The challenge of making cities 'just green enough'. Landscape and Urban Planning, 125: 234-244.

DOI: https://doi.org/10.1016/j.landurbplan.2014.01.017

14. Chen, J., Hao, Q., & Yoon, C. (2018). Measuring the welfare cost of air pollution in Shanghai: Evidence from the housing market. Journal of Environmental Planning and Management, 61: 1744-1757.

DOI: https://doi.org/10.1080/09640568.2017.1371581

15. Carriazo, F., & Gomez-Mahecha, J. A. (2018). The demand for air quality: Evidence from the housing market in Bogota, Colombia. Environment and Development Economics, 23(2): 121-138.

DOI: https://doi.org/10.1017/S1355770X18000050

16. Le Boennec, R., & Salladarre, F. (2017). The impact of air pollution and noise on the real estate market. The case of the 2013 European Green Capital: Nantes, France. Ecological Economics, 138: 82-89.

DOI: https://doi.org/10.1016/j.ecolecon.2017.03.030

17. LUN City (2023). Real estate market statistics.  [In Ukrainian] [ЛУН Місто (2023). Статистика ринку нерухомості.]. 

URL: https://misto.lun.ua/price

18. Havrylenko, O., Tsyhanok, Ye., Shyshchenko, P., Samoilenko, V., & Bilous, L. (2021). Geoinformation support for urban green space planning in the conditions of climate change (by the case of Kyiv). Proceedings of the XXth International conference "Geoinformatics: Theoretical and Applied Aspects,": 1-6.

DOI: https://doi.org/10.3997/2214-4609.20215521007

19. Havrylenko, O., Shyshchenko, P., & Tsyhanok, Ye. (2020). Landscape functional zoning of urban protected areas. Journal of Environmental Research, Engineering and Management, 76(3): 121-136.

DOI: http://dx.doi.org/10.5755/j01.erem.76.3.24258

20. Bilous, L., Samoilenko, V., Shyshchenko, P., & Havrylenko, O. (2021). GIS in landscape architecture and design. Proceedings of the XXth International conference "Geoinformatics: Theoretical and Applied Aspects": 1-7.

DOI: https://doi.org/10.3997/2214-4609.20215521034

21. WHO Regional Office for Europe. (2017). Urban Green Space Interventions and Health.

URL: https://www.euro.who.int/__data/assets/pdf_file/0010/337690/FULL-REPORT-for-LLP.pdf

22. TEEB. TEEB Manual for Cities: Ecosystem Services in Urban Management (2011).

URL: https://teebweb.org/publications/other/teeb-cities/

23. Haase, D., Larondelle, N., Andersson, E., Artmann, M., Borgström, S., Breuste, J., Gomez-Baggethun, E., et al. (2014). A Quantitative Review of Urban Ecosystem Service Assessments: Concepts, Models, and Implementation. Ambio, 43: 413-433.

DOI: https://doi.org/10.1007/s13280-014-0504-0

24. Salmond, J. A., Williams, D. E., Laing, G., Kingham, S., Dirks, K., Longley, I., & Henshaw, G. S. (2013). The influence of vegetation on the horizontal and vertical distribution of pollutants in a street canyon. Science of The Total Environment, 443: 287-298. DOI: https://doi.org/10.1016/j.scitotenv.2012.10.101

25. Jaafari S., Shabani, A. A., Moeinaddini, M., Danehkar, A., & Sakieh, Y. (2020). Applying landscape metrics and structural equation modeling to predict the effect of urban green space on air pollution and respiratory mortality in Tehran. Environmental Monitoring and Assessment, 192: 412.

DOI: https://doi.org/10.1007/s10661-020-08377-0

26. Shadman, S., Khalid, P. A., Hanafiah, M. M., Koyande, A. K., Islam, Md. A., Bhuiyan, S. A., Woon, K. S., & Show P. L. (2022). The carbon sequestration potential of urban public parks of densely populated cities to improve environmental sustainability. Sustainable Energy Technologies and Assessments, 52(A), 102064.

DOI: https://doi.org/10.1016/j.seta.2022.102064

27. Geneshka, M., Coventry, P., Cruz, J., Gilbody, S. (2021). Relationship between Green and Blue Spaces with Mental and Physical Health: A Systematic Review of Longitudinal Observational Studies. International Journal of Environmental Research and Public Health, 18(17): 9010.

DOI: https://doi.org/10.3390/ijerph18179010

28. Samoilenko, V., Bilous, L., Havrylenko, O., & Dibrova, I. (2021). Geoinformation model cause-effect analysis of anthropogenic impact in the Podilsko-Prydniprovskyi region. Proceedings of the XXth International conference "Geoinformatics: Theoretical and Applied Aspects": 1-6.

DOI: https://doi.org/10.3997/2214-4609.20215521006

29. Horte, O. S., & Eisenman, T.S. (2020). Urban Greenways: A Systematic Review and Typology. Land, 9(2):40.

DOI: https://doi.org/10.3390/land9020040

30. Cole, H. V.S., Triguero-Mas, M., Connolly, J. J.T., Anguelovski, I. (2019). Determining the health benefits of green space: Does gentrification matter? Health & Place, 57: 1-11.

DOI: https://doi.org/10.1016/j.healthplace.2019.02.001

31. Anguelovski, I., Connolly, J.J.T., Cole H., et al. (2022). Green gentrification in European and North American cities. Nature Communications, 13, 3816.

DOI: https://doi.org/10.1038/s41467-022-31572-1

32. Lyytimäki, J., Sipilä, M. (2009). Hopping on one leg-The challenge of ecosystem disservices for urban green management. Urban Forestry and Urban Greening, 8(4): 309-315.

DOI: https://doi.org/10.1016/j.ufug.2009.09.003

33. Gómez-Baggethun, E., Gren, Å., Barton, D.N., Langemeyer, J., McPhearson, T., O'farrell, P., Andersson E., et al. (2013). Urban ecosystem services. In Urbanization, Biodiversity and Ecosystem Services: Challenges and Opportunities. Springer: Dordrecht, The Netherlands, pp. 175-251.

DOI: https://doi.org/10.1007/978-94-007-7088-1_11

34. Shyshchenko, P. H., Havrylenko, O. P., & Tsyhanok Ye. Yu. (2019). Ecosystem value of Holosiyivskyi forest as an urban protected area: causes and consequences of degradation. Ukr. geographical journal, 4(108): 40-49.  [In Ukrainian] [ Шищенко П. Г., Гавриленко О. П., Циганок Є. Ю. Екосистемна цінність Голосіївського лісу як міської природоохоронної території: причини і наслідки деградації. Укр. географічний журнал. 2019. № 4(108). С. 40-49.  ]

DOI: https://doi.org/10.15407/ugz2019.04.040

35. RBC-Ukraine (2014). Experts have developed a new system of classification of residential real estate.  [In Ukrainian] [ РБК-Україна (2014). Експерти розробили нову систему класифікації житлової нерухомості. ]

URL: https://www.rbc.ua/ukr/news/eksperty-razrabotali-novuyu-sistemu-klassifikatsii-zhiloy-15122014172400

36. Rybnytska, I. (2021). Classes of housing: "economy," "comfort," "business." How to choose and not overpay. [In Ukrainian] [ Рибницька І. (2021). Класи житла: «економ», «комфорт», «бізнес». Як вибрати і не переплатити. ]

URL: https://minfin.com.ua/ua/realty/articles/nuzhno-li-obraschat-vnimanie-na-klass-novostroyki-pokupaya-kvartiru/

37. Derkulskyi, R. (2017). The impact of walking distance to Kyiv's green spaces on the value of residential real estate in the primary market. Balanced nature using, 3: 36-42. [In Ukrainian] [ Деркульський Р. Ю. Вплив пішохідної доступності до зелених зон Києва на вартість житлової нерухомості на первинному ринку. Збалансоване природокористування. 2017. № 3. С. 36-42 ].