Heterogeneity and dynamics in China's emerging urban housing market: two sides of a success story from the late 1990s

Neighborhood homogeneity and cohesion in sustainable community development

“…This contribution justifies the development of public housing with compatible designs to secure social cohesion (Sim et al, 2003). Conversely, building private housing would not be helpful to poor people because it leads to heterogeneity and polarization in the society, even if it energizes the middle-class economy (Yu, 2006). However, homogenization or segregation is not necessarily favorable to life satisfaction if it does not encourage social cohesion.…”

“…The effects of homogenization on social sustainability and life satisfaction in this community were evaluated using its homogeneous public housing and environmental development strategy, with the objective of clarifying whether neighborhood homogeneity or heterogeneity is helpful for sustainable development (Yu, 2006).…”

Why Does the Government Fail to Improve the Living Conditions of Migrant Workers in Shanghai? Reflections on the Policies and the Implementations of Public Rental Housing under Neoliberalism

“…Commercial housing has become a primary source of fiscal income for the local government, which gives rise to a massive scale of demolish-rebuilt pattern in urban China (He & Wu 2009, p. 288). Housing reform, which is one of the most influential transformations since the open-up reform in 1978, has led to larger social inequality and spatial segregation (Lee 2000;Lee & Zhu 2006;Yu 2006). In the case of Shanghai, in order to beautify the city, generate revenues and compete with other global cities, Shanghai has witnessed an unprecedented scale of housing commodification following the approach of demolishrebuild pattern (He & Wu 2009;He 2010).…”

Spatial Modeling of Residential Crowding in Alexandria Governorate, Egypt: A Geographically Weighted Regression (GWR) Technique

“…Sudhira et al [2]; Lata et al [3]; Yeh and Xia [4]). For instance in China, housing consumption and residential crowding have received considerable attentions especially in urban areas (Chen et al [5]; Yu [6]; Li and Huang [7]). Various variables in Chinese urban communities were identified to influence residential crowding for instance city size, household income, housing tenure and life cycle.…”