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Is the income difference affecting off-farm employment decision? Evidence from Chinese households

Zeng, Ke LU (2016) NEKN03 20161
Department of Economics
Abstract
China is experiencing a rapid economic transformation, which witnesses a vast number of labourers moving out of agricultural sectors. In such a transformation, the effect of spatial income variance on labour’s off-farm work decision is still unclear. Based on the cross-sectional data from the national survey conducted in 2012, this study finds the effect on two kinds of off-farm employment, wage employment and self-employment. The empirical result shows that local income will significantly influence both types of off-farm employment, while it positively affects the decision towards wage employment and negatively affects those in self-employment.
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author
Zeng, Ke LU
supervisor
organization
course
NEKN03 20161
year
type
H1 - Master's Degree (One Year)
subject
keywords
Off-farm working, Agricultural Sector, Local income, Multinomial Probit Model
language
English
id
8877541
date added to LUP
2016-06-22 13:55:56
date last changed
2016-06-22 13:55:56
@misc{8877541,
  abstract     = {China is experiencing a rapid economic transformation, which witnesses a vast number of labourers moving out of agricultural sectors. In such a transformation, the effect of spatial income variance on labour’s off-farm work decision is still unclear. Based on the cross-sectional data from the national survey conducted in 2012, this study finds the effect on two kinds of off-farm employment, wage employment and self-employment. The empirical result shows that local income will significantly influence both types of off-farm employment, while it positively affects the decision towards wage employment and negatively affects those in self-employment.},
  author       = {Zeng, Ke},
  keyword      = {Off-farm working,Agricultural Sector,Local income,Multinomial Probit Model},
  language     = {eng},
  note         = {Student Paper},
  title        = {Is the income difference affecting off-farm employment decision? Evidence from Chinese households},
  year         = {2016},
}