Survey of Households in Poor Urban Neighbourhoods in China, 2006-2007

DOI

Abstract copyright UK Data Service and data collection copyright owner.

This study investigates the alarming rise of urban poverty in China; in particular the patterns of urban poverty and the institutional causes are examined. The researchers look for evidence of institutional innovations that have emerged as individuals and organisations seek to negotiate more secure access to vital civic goods and services. A case study approach was used due to the complexity of the issue and the size of the Chinese urban population. Six cities were chosen and four neighbourhoods in each city were investigated. These cities were distributed in the costal, central and western region respectively, including Guangzhou, Nanjing, Harbin, Wuhan, Kumin, and Xi’an. Further information is available from the ESRC Award webpage.

Main Topics:

The questionnaire has sections on:demographic informationhousehold income and expendituresocial benefits/welfarehousingemployment situationneighbourhood profilecommuting and relocation

One-stage stratified or systematic random sample

Face-to-face interview

Identifier
DOI http://doi.org/10.5255/UKDA-SN-6077-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=b5c6ecba0c344e2df10a1ff4c4050e7fdbb84e7bbd2932ba90677269a309ee8b
Provenance
Creator Webster, C., Cardiff University, Department of City and Regional Planning; He, S., Cardiff University, Department of City and Regional Planning; Wu, F., Cardiff University, Department of City and Regional Planning
Publisher UK Data Service
Publication Year 2008
Funding Reference Economic and Social Research Council
Rights Copyright S. He, F. Wu and C. Webster; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; History; Humanities; Social and Behavioural Sciences
Spatial Coverage China