Decade-long changes in spatial mismatch in Beijing, China: Are disadvantaged populations better or worse off?

Qi, Yunlei; Fan, Yingling; Sun, Tieshan; Hu, Lingqian

doi:10.1177/0308518x18755747

Cited by 28 publications

(19 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, for environmental protection and because of high land prices in the central urban area, manufacturing, and concomitant job opportunities, have been decentralized as well (Gao, Liu, & Dunford, 2014). Also, job decentralization in China is driven by restructuring policies such as the development of the new urban towns and development zones (Gao et al, 2014;Huang & Wei, 2016;Qi, Fan, Sun, & Hu, 2018;Wei & Leung, 2005;Yang et al, 2017;Yuan, Wei, Chen, & Jin, 2010). For example, development zones lead to highly concentrated employment clusters that dramatically reshape the urban structure.…”

Section: Jobs-housing Imbalance and The Chinese Contextmentioning

confidence: 99%

Understanding jobs-housing imbalance in urban China: A case study of Shanghai

Xiao

Wei

2021

JTLU

View full text Add to dashboard Cite

Shanghai has experienced a rapid process of urbanization and urban expansion, which increases travel costs and limits job accessibility for the economically disadvantaged population. This paper investigates the jobs-housing imbalance problem in Shanghai at the subdistrict-level (census-level) and reaches the following conclusions. First, the jobs-housing imbalance shows a ring pattern and is evident mainly in the suburban areas and periphery of the Shanghai metropolitan area because job opportunities are highly concentrated while residential areas are sprawling. Second, structural factors such as high housing prices and sprawling development significantly contribute to the jobs-housing imbalance. Third, regional planning policies such as development zones contribute to jobs-housing imbalance due to the specialized industrial structure and limited availability of housing. However, geographically weighted regression reveals the development zones in the traditional Pudong district are exceptional insofar as government policy has created spatial heterogeneity there. In addition, the multilevel model used in this study suggests regions with jobs-housing imbalance usually have well-connected streets, and this represents the local government’s efforts to reduce excessive commuting times created by jobs-housing imbalance.

show abstract

Section: Jobs-housing Imbalance and The Chinese Contextmentioning

confidence: 99%

Understanding jobs-housing imbalance in urban China: A case study of Shanghai

Xiao

Wei

2021

JTLU

View full text Add to dashboard Cite

show abstract

“…Following the ‘land leasing‐based finance’ in transitional China, entrepreneurial local governments tended to place public housing projects in bad locations, therefore maximising local land leasing revenue (Xu, Chan, & Yung, 2014). It has been widely demonstrated that Chinese public housing projects suffer from the spatial mismatch problem, that is, being located in fringe areas with poor traffic connections that are distant from employment centres, which creates difficulties for tenants seeking jobs and even leads to unemployment (Fan, Allen, & Sun, 2014; Qi, Fan, Sun, & Hu, 2018; Zhou, Wu, & Cheng, 2013). Changsha is not an exception.…”

Section: Symptom Assessment Of Physical Economic and Social Decaymentioning

confidence: 99%

Is China's public housing programme destined to fail? Evidence from the city of Changsha

Luo

2020

Population Space and Place

View full text Add to dashboard Cite

Since 2011, China has implemented a large‐scale public housing programme, constructing tens of millions of apartments to cope with increasing housing shortages and difficulties. Using the case study of Changsha, this study explored the likely fate of this inchoate but significant social policy initiative. We propose a ghettoisation framework for the underlying and interrelated socio‐economic mechanisms that produce and maintain the problem‐ridden public housing development. By applying the analysis framework, this study assessed the status of physical, economic and social decay in public rental housing in Changsha. It is concluded that Chinese public housing projects foster physical dilapidation, economic deprivation and social marginalisation and, at the extreme, may be turned into urban ghettos similar to those found in many other countries, if this downward spiral of physical, economic and social decay persists. Chinese city governments have been aware of the physical dilapidation of public rental housing and have endeavoured with physical improvement and upgradation and government procurement of operation and management services. However, these endeavours are doomed to eventually be fruitless without systematic amelioration of economic and social decay. This study can be applied to worldwide cities with public housing development programmes, by guiding policymakers to advocate for concentrated efforts in problem‐ridden projects and for broader, system‐wide reforms to prevent the worst case scenario of ghettoisation.

show abstract

“…Spatial mismatch theory has generated wide interest in the fields of urban studies and economic geography for decades (Kain, 1992;Ihlanfeldt & Sjoquist, 1990;Qi et al, 2018;Andersson et al, 2018;Easley, 2018;Theys et al, 2019;Delmelle et al, 2021). The key argument of the spatial mismatch hypothesis is that ethnic minorities (African-Americans in most studies) living in urban centers face more geographic barriers to employment opportunities and employment information due to suburbanization, discrimination, residential segregation and concentrated poverty (Kain, 1992).…”

Section: Introductionmentioning

confidence: 99%

Spatial Mismatch, Different Labor Markets and Precarious Employment: The Case of Hong Kong

Jin

Nie

Pun³

et al. 2021

Soc Indic Res

View full text Add to dashboard Cite

Spatial mismatch theory argues that geographic barriers have significant adverse effects on (un)employment, especially with respect to disadvantaged workers. Existing debates on spatial mismatch have focused on its influence on unemployment, but few studies have paid attention to the impact of spatial factors on increasingly precarious employment in today's labor market. Using data from four waves of the Hong Kong Panel Study of Social Dynamics (HKPSSD), the 2011 Population Census and the 2016 Population By-census, this study aims to investigate the effects of spatial mismatch on precarious employment in the low-and high-skilled labor markets in Hong Kong with multi-leveled modeling. The results suggest that with higher levels of spatial mismatch, workers in the low-skilled labor market are more likely to be in precarious employment. In the high-skilled labor market, sub-degree holders are also more likely to engage in precarious employment. Even worse, spatial mismatch in Hong Kong has deteriorated over time. Based on these results, we offer policy recommendations and show how the study of spatial mismatch can inform policymaking. Overall, we contribute to the literature by demonstrating that spatial mismatch can lead to precarious employment among employed workers and has differentiated effects on low-and high-skilled labor markets.

show abstract

Decade-long changes in spatial mismatch in Beijing, China: Are disadvantaged populations better or worse off?

Cited by 28 publications

References 53 publications

Understanding jobs-housing imbalance in urban China: A case study of Shanghai

Understanding jobs-housing imbalance in urban China: A case study of Shanghai

Is China's public housing programme destined to fail? Evidence from the city of Changsha

Spatial Mismatch, Different Labor Markets and Precarious Employment: The Case of Hong Kong

Contact Info

Product

Resources

About