How Does China’s Higher Education Expansion Policy Affect Income Inequality? An Empirical Test

• In Event: Exploring Higher Education’s Roles: Policy, Inequality, and Faculty Well-Being Across Contexts

Proposal

This study investigates the causal impact of China’s higher education expansion policy on income inequality, focusing on its long-term and regionally differentiated consequences. Since the 1980s, China has experienced sustained economic growth, yet income inequality has risen markedly, challenging the goals of “common prosperity” and raising concerns about the middle-income trap. Human capital theory highlights the role of education in shaping income distribution, but the distributive consequences of rapid higher education expansion remain contested. China’s 1999 policy to massively expand college enrollment provides a critical case to examine whether educational expansion narrows or exacerbates inequality.
Three theoretical perspectives guide the debate. The first, rooted in human capital theory, argues that higher education expansion widens inequality because the returns disproportionately favor high-income families who can access quality education (Acemoglu, 2002). The second contends that expansion reduces inequality by broadening access and compressing wage differentials (Gregorio & Lee, 2002). A third view posits a nonlinear effect, where expansion initially heightens inequality due to productivity differences but later mitigates it as labor supply adjusts (Knight & Sabot, 1983). This study tests these competing views using rigorous causal methods and provincial data spanning more than two decades.
The analysis draws on a balanced panel of 29 provinces from 2000 to 2022, with data sourced from the China Statistical Yearbook and provincial yearbooks. Income inequality is measured by the Theil index, which decomposes disparities between rural and urban residents. The dependent variable is constructed using per capita disposable income (urban) and per capita net/disposable income (rural). Six provincial-level controls are included: per capita GDP, industrial structure, urbanization, technological progress, fiscal expenditure, and openness.
To identify causal effects, the study employs a Difference-in-Differences (DID) strategy. Provinces are divided into treatment and control groups based on enrollment growth between 1997–1999 and 1999–2022, with those above the median assigned to the treatment group. To reflect labor market entry, 2003 is designated as the policy shock year. The specification includes two-way fixed effects. Provinces with extreme pre-policy disparities, such as Xinjiang and Tibet, are excluded to satisfy the common trend assumption. The DID model captures whether inequality diverged after expansion in the more heavily treated provinces compared with others.
The baseline results demonstrate that higher education expansion significantly widened inequality. In the DID regressions, the interaction term between treatment and post-policy period is positive and significant at the 5% level across specifications. Substantively, the Gini coefficient rose by an estimated 0.8–1.2 percentage points annually in the eastern provinces with abundant higher education resources, underscoring the magnitude of the policy’s stratifying effect. From the perspective of educational returns, this outcome reflects the “endowment effect”: as the supply of highly educated workers increases, productivity differences between groups widen. According to the Effective Maintenance of Inequality (EMI) theory, high-income families were able to preserve advantages during expansion by securing quality resources and transmitting them intergenerationally, reinforcing stratification despite mass access.
Control variables offer further insights. A U-shaped relationship is observed between economic growth and inequality: income gaps narrow at lower levels of development but widen as growth continues, consistent with the Kuznets hypothesis and urban-biased development strategies. Changes in industrial structure are also significant: as secondary and tertiary industries expand, demand for skilled labor rises, intensifying wage gaps across sectors. Urbanization, by contrast, exerts an equalizing effect. As rural residents migrate and per capita land availability rises, rural productivity and incomes improve, narrowing the rural–urban divide.
Dynamic analyses highlight the temporal dimension of policy effects. In the early years, expansion had no significant effect, but after 2007, the impact became progressively stronger and statistically robust. A segmented four-year analysis shows that the magnitude of inequality expansion grew over time, reflecting the cumulative entry of new graduate cohorts into the labor market. Parallel trend tests support the DID assumption: prior to 2003, inequality trends in treatment and control provinces were statistically indistinguishable. Robustness tests—including falsification by shifting the policy shock to 2001, alternative control variables, lagged specifications, and adjusted samples—consistently affirm that the widening gap is attributable to the policy rather than spurious shocks.
Heterogeneity analyses reveal sharp regional differences. In the eastern provinces and in areas with dense higher education resources, the expansion policy significantly amplified inequality, with Theil index increases of 0.8–1.2 percentage points annually. In central and western regions, however, where resources are scarcer and the labor market structure differs, the effect was weaker and in some cases even mitigated inequality. These findings indicate that the consequences of expansion are not uniform but mediated by resource distribution, regional development, and labor market absorption.
Taken together, the results provide strong evidence that higher education expansion in China has contributed to widening income inequality, particularly in resource-rich regions. While mass expansion was intended to democratize access and cultivate high-quality human capital, its distributional effects have been uneven. The findings contribute to theoretical debates by showing how human capital effects, EMI dynamics, and structural transformation interact to shape inequality.
The contributions of this study are threefold. First, it provides robust causal evidence on the long-term distributional effects of China’s higher education expansion, extending beyond short-term analyses that dominate the literature. Second, it highlights the critical role of regional heterogeneity: policies that generate inclusive outcomes in one context may deepen stratification in another. Third, it integrates theoretical insights from human capital theory, inequality maintenance, and labor market dynamics to explain why expansion can simultaneously support growth and exacerbate inequality.
In conclusion, this study demonstrates that China’s higher education expansion policy, while fostering human capital accumulation and economic growth, has paradoxically intensified income inequality. The widening effect has strengthened over time and is most pronounced in the eastern provinces and regions with concentrated resources. These findings carry important lessons for other countries undergoing educational expansion: without mechanisms to ensure equitable access and resource distribution, expansion may undermine rather than advance the goal of shared prosperity.

Authors

• Tianyi Sun, Faculty of Education, East China Normal University

• Yan Chunshun, East China Normal Univerisity