标题:A distributional analysis of wage discrimination against migrant workers in China\'s urban labour market
作者:Wang, Haining;Guo, Fei;Cheng, Zhiming
作者机构:[Wang, H] The Centre for Economic Research, Shandong University, Jinan, China;[ Guo, F] Department of Marketing and Management, Macquarie University, 更多
通讯作者:Wang, HN
通讯作者地址:[Wang, HN]Shandong Univ, Ctr Econ Res, 27 Shanda South Rd, Jinan 250100, Shandong, Peoples R China.
来源:Urban studies
出版年:2015
卷:52
期:13
页码:2383-2403
DOI:10.1177/0042098014547367
关键词:China;migrant workers;urban labour market;wage discrimination
摘要:Chinese internal migrants without a local hukou (household registration) are often discriminated against in the urban labour market. This study examines the impacts of such discrimination on wage differentials and the distribution among urban locals, urban migrants and rural migrants. It uses an extended analytical framework of segmented labour market to examine the multiple segmentations between urban residents and rural migrants and between locals and non-locals. The results show that, compared with urban locals, rural migrants only face discrimination above the medium-wage level, while urban migrants face discrimination below the medium-wage level, but to a much lesser degree. Owing to structural differences in employment, urban locals (rather than migrant workers) are discriminated against at other wage levels. The results suggest that the hukou system still plays an important role in segmenting China\'s urban labour market. The degree of discrimination against urban migrants relative to urban locals is greater than that against rural migrants relative to urban migrants. This suggests that nowadays China\'s urban labour market is mainly characterised by the segmentation between locals and non-locals, rather than the segmentation between urban residents and rural migrants, which was the case in the past.
收录类别:SCOPUS;SSCI
WOS核心被引频次:7
Scopus被引频次:15
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941210845&doi=10.1177%2f0042098014547367&partnerID=40&md5=2a5526a4ff33e72c81abdb31af61f0df
TOP