Higher Education Expansion in China, 1999–2003: Impact on Graduate Employability
| Published date | 01 March 2022 |
| Author | Dongshu Ou,Zhong Zhao |
| Date | 01 March 2022 |
| DOI | http://doi.org/10.1111/cwe.12412 |
©2022 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 117–141, Vol. 30, No. 2, 2022 117
Higher Education Expansion in China, 1999–2003:
Impact on Graduate Employability
Dongshu Ou, Zhong Zhao*
Abstract
We examine the impact of China’s higher education expansion on labor market outcomes
for young college graduates using China’s 2005 1 Percent Population Sample Survey.
Exploiting variations in the expansion of university places across provinces and high
school cohorts between 1999 and 2003, we apply a difference-in-differences model
and take into account the demand-side effect by using the Bartik index. We fi nd that the
expansion of higher education in China decreased unemployment rates among males
and college graduates in the short term. However, the policy decreased women’s labor
force participation and individual earnings in high-skilled white-collar jobs. We further
discuss potential channels affecting the outcomes that were observed. Our results
illustrate the broad economic benefi ts of higher education. The fi ndings shed new light
on the contribution of young skilled labor in the economic growth of China and call
for policies that can alleviate the short-term negative impact of higher education on
individual students and maximize human capital. Our study also provides an interesting
example of the consequences of the unequal expansion of higher education opportunities
on the labor market of an emerging economy.
Keywords: difference-in-differences, higher education expansion, labor force participation,
unemployment, wage
JEL codes: I23, I28, J31, O15
I. Introduction
The consequences of higher education expansion extend beyond straightforward
economic gain (Hannum and Buchmann, 2005; Machin and McNally, 2007). China
*Dongshu Ou (corresponding author), Associate Professor, Department of Educational Administration and Policy,
The Chinese University of Hong Kong, China. Email: dongshu@cuhk.edu.hk; Zhong Zhao, Professor, School of
Labor and Human Resources, Renmin University of China, China, and Institute of Labor Economics (IZA), Bonn,
Germany. Email: mr.zhong.zhao@gmail.com. The authors thank the editor, anonymous reviewers, Suqin Ge,
Ayako Kondo, Scott Rozelle, and audiences at the 2015 Population Association of America Annual Meeting, the
7th International Symposium on Human Capital and Labor Markets, Faculty Seminar at the Faculty of International
Social Sciences at Yokohama University and the 2018 Conference on Student Development and Employment in
Higher Education at Peking University. Ou acknowledges the fi nancial support from the Chinese University of
Hong Kong (Direct Grant No. 4058038), and the Hong Kong General Research Council (No. 14603416).
Dongshu Ou, Zhong Zhao / 117–141, Vol. 30, No. 2, 2022
©2022 Institute of World Economics and Politics, Chinese Academy of Social Sciences
118
began increasing university enrollment places in 1999, investing in education to fuel
future development, increase domestic consumption and relieve employment pressure
on the labor market after the 1998 Asian fi nancial crisis (Wu and Zhang, 2010). China’s
higher education expansion policy has effectively increased tertiary education rates
in the 21st century (Liu, 2007), driving up the gross enrollment rate from 9.8 percent
in 1998 to 22 percent in 2006. The gross enrollment rate reached 54.4 percent in
2020 according to the Statistical Bulletin of National Education Development in
2020 (Ministry of Education of the People’s Republic of China, 2021).
Research has shown that increasing the share of highly educated workers may result
in improved employment rates and higher earnings among the newly educated (Machin
and McNally, 2007). Using the 2014 China Labor Force Dynamics Survey, Hao and
Zhang (2020) found that the 1999 college expansion did not affect job acquisition
among graduates from 4-year colleges but only incurred a delay in obtaining skilled
jobs for technical college graduates. Kong and his colleagues (Kong et al., 2020) gauged
the impact of higher education expansion on corporate innovation and found that the
college expansion shock provided more educated young labor to young fi rms. They also
concluded that the higher education expansion increased fi rms’ innovative human capital
by enhancing the pool of educated employees and inventors.
However, many other studies on China’s higher education expansion have identifi ed
negative impacts on labor market outcomes for college graduates.1 For example,
Wu and Zhao (2010) used data from the 2000 and 2005 population surveys and applied
a difference-in-differences (DID) model to compare the labor force participation rate,
unemployment rate, and hourly wages for cohorts before and after the expansion policy.
They further applied a difference-in-differences-in-differences (DDD) model to compare
outcomes for students who completed college and high school before and after the
policy. Their fi ndings suggested that higher education expansion in China reduced the
labor force participation rate and the wage rate and increased the unemployment rate
for college graduates. Similar to Wu and Zhao (2010), Li et al. (2014) used the 2000
population survey and data from the 2005 mini-census to compare the unemployment
rate of college graduates in cohorts born before and after the 1999 reform. They found
1Much literature on China’s higher education expansion has been reviewed previously (Ou and Hou, 2019).
However, most of the existing studies are correlational studies that did not reveal the causal impact of higher
education expansion policy on various outcomes including labor market outcomes (Wu and Zhao, 2010;
Li et al., 2014; Yu, 2014). There is also literature focusing on the effects of overeducation as a consequence
of the mass expansion of higher education in the US, UK, and China (Dolton and Vignoles, 2000; Yang and
Mayston, 2012) and these studies indicate that overeducation for specifi c job requirements resulted in negative
wage effects.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeUnlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations
Unlock full access with a free 7-day trial
Transform your legal research with vLex
-
Complete access to the largest collection of common law case law on one platform
-
Generate AI case summaries that instantly highlight key legal issues
-
Advanced search capabilities with precise filtering and sorting options
-
Comprehensive legal content with documents across 100+ jurisdictions
-
Trusted by 2 million professionals including top global firms
-
Access AI-Powered Research with Vincent AI: Natural language queries with verified citations