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      Identifying the spatial heterogeneity of housing financialization in China: Insights from a multiscale geographically weighted regression

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          Abstract

          With the deepening linkage between housing and finance, the financial attributes of housing have been increasing. Thus, housing financialization has become a worldwide phenomenon that is gradually emerging in China's real estate market and thus cannot be ignored. The amount of urban capital is an important manifestation of financialization, but only a few studies have considered the spatial heterogeneity of impact of urban capital amount—represented by loan balances (LOAN) on housing prices. To fill this gap, this study builds a dataset of housing prices and influencing factors for county-level units using 2109 counties in China and analyzes the spatial scope and heterogeneity of housing financialization. Results show that globally, LOAN has a significant positive effect on housing prices, and the impact direction is in line with theoretical expectations. Locally, spatial heterogeneity exists for the impact of LOAN on housing prices, and the phenomenon of housing financialization is mainly observed in China's eastern coastal area. This study can help enhance the understanding of the spatial constraints on the impact of LOAN on housing prices and the spatial heterogeneity of housing financialization in China. Moreover, it provides a theoretical basis for policymakers to formulate spatially differentiated housing policies.

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          Wages, Rents, and the Quality of Life

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            Multiscale Geographically Weighted Regression (MGWR)

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              The Financialization of Housing

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                12 March 2024
                30 March 2024
                12 March 2024
                : 10
                : 6
                : e27542
                Affiliations
                [a ]Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, 650500, China
                [b ]Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, China
                [c ]School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou, Guangdong, 510090, China
                [d ]School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China
                Author notes
                [* ]Corresponding author. Faculty of Geography, Yunnan Normal University, Ruizhi Building 5, Chenggong Campus, Yunnan Normal University, No.768 Juxian Street, Chenggong District, Kunming City, 650500, Yunnan Province, China. 210058@ 123456ynnu.edu.cn
                Article
                S2405-8440(24)03573-4 e27542
                10.1016/j.heliyon.2024.e27542
                10951547
                38509928
                cd4c1ea1-291f-456b-a347-9ee83c97c6ff
                © 2024 The Authors. Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 13 November 2022
                : 29 February 2024
                : 1 March 2024
                Categories
                Research Article

                housing prices,spatial heterogeneity,spatial regression,multiscale geographically weighted regression,china

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