published in: Journal of Development Studies, 2012, 48 (1), 133-150
This paper examines the gender differential in the payoff to schooling in China. The analyses are conducted separately for rural and urban areas, and are based on a framework provided by the over education/required education/under education literature, and the decomposition developed by Chiswick and Miller (2008). It shows that the payoff to correctly matched education in rural China is much higher for females than for males. Associated with this, the wage penalty where workers are under qualified in their occupation is greater for females than for males. Both of these factors are shown to be linked to the higher payoff to schooling for females than for males. Over educated females, however, are advantaged compared with their male counterparts, though this has little effect on the differential in the payoff to schooling between males and females in rural China. These findings are interpreted using the explanations offered for the gender differential in the payoff to schooling in the growing literature on earnings determination in China. The payoffs to actual years of schooling for males and females in urban China are remarkably similar in this study.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.