Returns to college education of Chinese manufacturing employees: Who benefits more?

IF 5.9 1区 经济学 Q1 ECONOMICS
中国经济评论 Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI:10.1016/j.chieco.2026.102665
Yuheng Lin , Dooruj Rambaccussing , Yu Zhu
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引用次数: 0

Abstract

Using the China Employer-Employee Survey (CEES) data, this study examines the returns to college education for employees across China's manufacturing industry, most of them work in small and medium-sized enterprises (SME). Our baseline model finds that while the 1999 higher education (HE) expansion has no significant impact on college enrollment for male employees, it significantly increases college enrollment for female employees by 23.7% in the manufacturing sector. College education significantly increases the returns by 45.20% for males and 88.33% for females. Moreover, there is heterogeneity in the effects by potential gains: individuals who failed to attend college would have had a higher return compared to college graduates, indicating reverse selection into HE. Further analysis reveals that the effects are more pronounced among female managers, middle birth cohorts (born between 1984 and 1987), female vocation-track degree holders, and STEM graduates. Additionally, college education facilitates employment in roles requiring cognitive skills and reduces the likelihood of female employees performing physically demanding tasks.
中国制造业员工回归大学教育:谁更受益?
本研究利用中国雇主-雇员调查(CEES)数据,考察了中国制造业员工的大学教育回报,这些员工大多在中小企业(SME)工作。我们的基线模型发现,虽然1999年高等教育的扩张对男性员工的大学入学率没有显著影响,但它显著提高了制造业女性员工的大学入学率,增幅为23.7%。受过大学教育的男性和女性的回报率分别显著提高了45.20%和88.33%。此外,潜在收益的影响存在异质性:与大学毕业生相比,未上大学的个人将获得更高的回报,这表明高等教育的逆向选择。进一步的分析表明,这种影响在女性管理人员、中等出生人群(出生于1984年至1987年之间)、女性职业学位持有者和STEM毕业生中更为明显。此外,大学教育促进了需要认知技能的职位的就业,减少了女性员工执行体力要求高的任务的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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