abstract: 'This paper attempts to investigate the structural relationship between

  economic growth and female labor force participation in Korea. The

  recurring issue of whether women''s integration to the society is

  critical becomes salient once again, but with little consideration of

  its meaning and potential consequences. It extends further the research

  theme that the degree of female labor force participation relies on the

  extent to which social context is reflected in the time-series data for

  the country from 1980 to 2014. While multiple theories are being

  espoused in this research, effects traced across levels of analysis and

  over substantial temporality lead up to a system of dynamic causal

  relationships, using contingency table and log-linear analysis. It

  appears to be supported in the regression analysis that the country

  travels through the U-shaped curve over time whereas income inequality

  displays greater impact on women''s employment. The empirical estimates

  of social transformation credit this trend to family structure and

  wife''s education, as the second pivot that, at least, noneconomic causal

  factors are also operative.'
affiliation: 'Suh, MG (Corresponding Author), Soongil Univ, Dept Informat Sociol,
  Sangdo Ro 369, Seoul 06978, South Korea.

  Suh, Moon-Gi, Soongil Univ, Dept Informat Sociol, Sangdo Ro 369, Seoul 06978, South
  Korea.'
author: Suh, Moon-Gi
author-email: mgsuh@ssu.ac.kr
author_list:
- family: Suh
  given: Moon-Gi
da: '2023-09-28'
doi: 10.1007/s11205-016-1245-1
eissn: 1573-0921
files: []
issn: 0303-8300
journal: SOCIAL INDICATORS RESEARCH
keywords: 'Economic growth; Women''s employment; Family structure; Educational

  attainment'
keywords-plus: WORK
language: English
month: MAR
number: 1, SI
number-of-cited-references: '35'
pages: 255-269
papis_id: 80ae9d9f0aa122930088a30e12d31354
ref: Suh2017determinantsfemale
times-cited: '4'
title: 'Determinants of Female Labor Force Participation in South Korea: Tracing out
  the U-shaped Curve by Economic Growth'
type: article
unique-id: WOS:000397958100013
usage-count-last-180-days: '0'
usage-count-since-2013: '10'
volume: '131'
web-of-science-categories: Social Sciences, Interdisciplinary; Sociology
year: '2017'