Identifying the Spatial Heterogeneity in the Effects of the Social Environment on Housing Rents in Guangzhou, China-Reference-Cited by-同舟云学术

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Identifying the Spatial Heterogeneity in the Effects of the Social Environment on Housing Rents in Guangzhou, China

Published:2021-04-27 Issue:4 Volume:14 Page:849-877
ISSN:1874-463X
Container-title:Applied Spatial Analysis and Policy
language:en
Short-container-title:Appl. Spatial Analysis

Author:

Wang Yang^ORCID,Wu Kangmin^ORCID,Jin Lixia,Huang Gengzhi,Zhang Yuling,Su Yongxian,Zhang Hong’ou,Qin Jing

Funder

Institute of Tropical and Marine Meteorology, China Meteorological Administration (CN

GDAS Project of Science and Technology Development

National Key Research and Development Progra

Special Project of the Institute of Strategy Research for Guangdong, Hong Kong, and Macao Greater Bay Area Construction

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12061-021-09383-6.pdf

Reference66 articles.

1. Agudelo Torres, J. E., Agudelo Torres, G. A., Franco Arbeláez, L. C., & Franco Ceballos, L. E. (2015). Efecto de un estadio deportivo en los precios de arrendamiento de viviendas: una aplicación de regresión ponderada geográficamente (GWR). Ecos de Economía, 19(40), 66–80. https://doi.org/10.17230/ecos.2015.40.4

2. Banfi, S., Filippini, M., & Horehájová, A. (2008). Valuation of Environmental Goods in Profit and Non-Profit Housing Sectors: Evidence from the Rental Market in the City of Zurich. Swiss Journal of Economics and Statistics, 144(4), 631–654. https://doi.org/10.1007/BF03399269

3. Basolo, V., & Yerena, A. (2017). Residential mobility of low-income, subsidized households: a synthesis of explanatory frameworks. Housing Studies, 32(6), 841–862. https://doi.org/10.1080/02673037.2016.1240762

4. Bitter, C., Mulligan, G. F., & Dall’erba, S. (2007). Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method. Journal of Geographical Systems, 9(1), 7–27. https://doi.org/10.1007/s10109-006-0028-7

5. Brasington, D. M., & Hite, D. (2005). Demand for environmental quality: a spatial hedonic analysis. Regional Science and Urban Economics, 35(1), 57–82. https://doi.org/10.1016/j.regsciurbeco.2003.09.001

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