Access the full text.
Sign up today, get DeepDyve free for 14 days.
The purpose of this paper is to assess the development of China's rural labor markets and the identification of the important factors that affect rural labor's off-farm employment and migration.Design/methodology/approachBased on a set of long-term panel data, this paper makes a clear judgment on the trend of rural labor transfer. High-quality survey design makes it possible to examine the development of the rural labor market from multiple dimensions. Adding household fixed effects to the empirical model alleviates endogenous problems.FindingsThe authors find that the increasing trend toward off-farm employment, which is dominated by migration, has continued. There are some other important findings: (1). young male workers dominated off-farm employment, but the gap between groups continues to narrow; (2). the structure of employment is a good response to the economic transformation and (3). the quality of off-farm laborers, especially in terms of human capital, has also enhanced significantly and has continued to support off-farm employment and migration. These findings all indicate that the China's rural labor markets have been constantly improving in recent years, although there is still segmentation.Originality/valueIt is the first paper that uses a nationally representative survey data to address the development of rural labor market in the 21st century. With the help of a long-term panel data structure and by controlling the household-level fixed-effect, the authors obtained a deeper and more robust conclusion. Specifically, this article finds that whether it is for the off-farm transfer or the migration, the influence of labor age, gender, human capital and marital status is gradually weakening.
China Agricultural Economic Review – Emerald Publishing
Published: Jun 1, 2021
Keywords: Off-farm employment; Migration; Rural labor market; D12; D72; H41
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.