Rural Migration and Sectoral Earning Differences in Urban China
Guifu Chen and
Shigeyuki Hamori
Additional contact information
Guifu Chen: Xiamen University
Chapter Chapter 2 in Rural Labor Migration, Discrimination, and the New Dual Labor Market in China, 2014, pp 5-21 from Springer
Abstract:
Abstract In this chapter, we first provide a theoretical model by which to analyze the effects of rural migration on wage differentials in the nonagricultural sector. We find that the remunerative disparity between skilled and unskilled labor increases and the average wage decreases as rural migration intensifies. Second, using the dynamic panel data model and data that span a 15-year period (1993–2007) and that cover 29 provinces in China, we discover a fall in the average earnings and rise in the relative earnings ratio of skilled to unskilled workers with an augmentation in the number of rural migrant workers in urban China. Moreover, this chapter shows that the average earnings in five sectors decrease when the number of rural migrant workers in these sectors increases. Finally, we indicate the impact of the upsurge of such workers on average earnings and relative earnings in the eastern, middle, and western regions of the country.
Keywords: Skilled Labor; Wage Differential; Unskilled Worker; Unskilled Labor; Average Earning (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spbchp:978-3-642-41109-0_2
Ordering information: This item can be ordered from
http://www.springer.com/9783642411090
DOI: 10.1007/978-3-642-41109-0_2
Access Statistics for this chapter
More chapters in SpringerBriefs in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().