2026-05-26T01:42:35Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

61bfa88683361c0cde1f0c92324f93dafbe0dd06e8cb59fb7e18c76ba164ddd5 2025-12-08T01:31:39Z language:enopenaire_data

Spatial Differentiation Patterns And Influencing Factors Analysis Of Housing Prices In Shenyang Spatial Differentiation Patterns And Influencing Factors Analysis Of Housing Prices In Shenyang doi:10.17026/DANS-XGQ-6KTSeasy-dataset:256938 XU D Danmeng XU LI X Xin LI ZHANG S Suwen ZHANG 2020-11-26 DANS Data Station Social Sciences and Humanities 2022-09-18 Social Sciences <p>Affordable housing plays a significant role for the wellbeing of people all over the world. However, against the background of housing commodification and market reforms since 1978 in China, housingprice in many cities especially mega cities such as Beijing, Shanghai, Shenzhen and Guanghzou in China hasundergone rapidly increasing. The fact negatively affects housing accessibility of many residents and leadsto socio-spatial polarization of many cities. Driven by this concern, this research explores the spatial distribution pattern of housing prices and the influencing factors of Shenyang, a typical old industrial city in China.Based on POI data and the Kriging method, we firstly simulated the spatial distribution pattern of housingprices in Shenyang. Then, 11 independent variables were selected (consisting of community characteristics,public facilities and public transportations) to investigate mechanisms underlying the spatial differential pattern of housing prices of Shenyang, based on the Geographically Weighted Regression model (GWR). Theresults are as following. First, the housing price of different communities in Shenyang spatially forms amulti-center structure. Changbai region has replaced Shenhe and Heping districts as the new peak price area.Second, the independent variables show significant spatial heterogeneity. Variables related to communitycharacteristics, such as ratio of green space, parking lot ratio and neighbourhoods management fees, have significant positive effects on housing price in general. Third, we found that urban housing market developmentof old industrial cities such as Shenyang has long been featured by the "strong government, weak market" development strategies.</p> https://ssh.datastations.nl/oai doi:10.17026/DANS-XGQ-6KTS 2025-12-03T01:00:37Z ddi:codebook:2_5