Abstract
A close relationship exists between ecological landscape and housing prices. Taking Wuhan as the research object, this paper establishes a series of spatial generalized additive models based on the hedonic method to explore the effects of different ecological landscapes such as lakes, rivers, mountains, and parks on house prices. Results are as follows: (1) Overall, lakes, parks, and mountains have price elasticity values of approximately 0.62%, 1.30%, and 0.81%, respectively. However, the price elasticity values of 2-km inner and outer lakes are 0.18% and 3.39% respectively, with similar results in other landscapes. The existence of lakes, parks, and mountains can trigger the increase in housing price percentages by 34.61%, 43.12%, and decrease by 25.09%, respectively. (2) The nonparametric form shows that the influence of lakes and parks on housing prices within 2 km constantly changes around zero. The influence of rivers is always positive, whereas the influence of mountains is always negative. (3) Interaction occurs between landscapes. In the situation of interaction with lakes, the elasticity values of the distance among rivers, mountains, and parks become 0.50%, − 0.32% and 0.90%, respectively. Future research should focus on the nonlinear characteristics and interactive effects of landscape premium.
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Data availability
Anonymized housing prices data with quantitative values of some of the explanatory variables used during the study are available from the corresponding author upon reasonable request.
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Acknowledgements
This work is supported by the Ministry of Education of the People’s Republic of China, Humanities and Social Sciences Foundation (No. 22YJA630035) and the Fundamental Research Fund for the Central Universities, China University of Geosciences (Wuhan) (No. CUG2642022006). Besides, we would like to thank R, the open-source software, for its convenience in this research, and all the researchers who have helped in this research process. We also thank the anonymous reviewers of this manuscript for their useful comments.
Funding
This work is supported by the Ministry of Education of the People’s Republic of China, Humanities and Social Sciences Foundation (No. 22YJA630035), National Natural Science Foundation of China (Grant No.72074198) and the Fundamental Research Fund for the Central Universities, China University of Geosciences (Wuhan) (No. CUG2642022006).
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All authors contributed to the study conception and design. XK: Supervision, Management and coordination of research planning and execution. CY: CY: Data curation, Software, Visualization, Writing original draft. WS: Data collection. AM: Translation, Reviewing and editing. HG and MZ: Reviewing and editing. All authors have read and approved the final manuscript.
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Ke, X., Yang, C., Shi, W. et al. Impact of different ecological landscapes on housing prices—empirical evidence from wuhan through the hedonic pricing model appraisal. J Hous and the Built Environ 38, 1289–1308 (2023). https://doi.org/10.1007/s10901-022-09990-w
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DOI: https://doi.org/10.1007/s10901-022-09990-w