Promoting an educated labor force is critical for emerging economies. Educational achievement, in turn, depends heavily on general cognitive abilities as well as non-cognitive skills, such as grit. Current research, however, has not examined how cognition and grit may explain the academic performance of students in an economically disadvantaged context. Thus, this study examines how IQ and grit contribute to academic achievement gains for students in poor areas of rural China. Drawing on data from 2931 students in rural China, we measure general cognitive ability, using the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) and Raven’s Standard Progressive Matrices (Raven IQ); non-cognitive ability, using the Short Grit Scale; and academic achievement, using a curricular-based mathematics exam. We find that IQ and grit each predict achievement gains for the average student. Grit is not positively associated with achievement gains among low-IQ students, however, suggesting that grit does not translate into academic achievement gains for students with delays in general cognitive ability.

Little attention has been paid to the role that low levels of cognitive development (or IQ) play among both left-behind children (LBCs) and children living with parents (CLPs) in the context of poor educational attainment in rural China. In this paper, we examine how general cognitive abilities contribute to the academic achievement gains of both LBCs and CLPs in poor areas of rural China. We measure the general cognitive ability of the 4,780 sample students using the Raven’s Standard Progressive Matrices (Raven IQ) and assess academic achievement using a curriculum-based mathematics exam. We find that IQ and left-behind status predict achievement gains for the average student. Among low-IQ students, however, left-behind status does not correlate with a change in achievement, suggesting that the migration of parents does not immediately/automatically translate into a loss of academic achievement for students with delays in their general cognitive ability.

Purpose: To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural Dibao) Program. Interestingly, despite the importance of education in breaking cycles of poverty, little is known about Rural Dibao's impact on rural children's education. This study investigates Rural Dibao's impact on rural children's learning outcomes by first examining targeting issues within the program, exploring a causal relationship between Rural Dibao and learning outcomes, and then exploring potential mechanisms and heterogeneous effects.

Design/methodology/approach: Fixed effects model and propensity score weighting method and data from China Family Panel Studies (CFPS) from the years 2010 and 2014 were used.

Findings: The results suggest that the Rural Dibao program suffers from high levels of targeting error, yet is still effective (i.e., program transfers generally still go to people in need). The fixed effects and propensity score weighting models find that program participation raises rural children's standardized test scores in CFPS Chinese-language and math tests. In investigating mechanisms, increased education expenditure seems to connect Rural Dibao participation to increased learning results. The heterogeneity analysis shows that poorer, non-eastern, not left behind, younger or male children benefit from the program (while others have no effect).

Originality/value: These findings suggest that Rural Dibao participation boosts rural children's learning, which could indicate a long-term anti-poverty effect, and that if the program can resolve targeting problems, this effect could be even greater.

Because higher education serves both public and private interests, the way it is conceived and financed is contested politically, appearing in different forms in different societies. What is public and private in education is a political–social construct, subject to various political forces, primarily interpreted through the prism of the state. Mediated through the state, this construct can change over time as the economic and social context of higher education changes. In this paper, we analyze through the state’s financing of higher education how it changes as a public/private good and the forces that impinge on states to influence such changes. To illustrate our arguments, we discuss trends in higher education financing in the BRIC countries—Brazil, Russia, India, and China. We show that in addition to increased privatization of higher education financing, BRIC states are increasingly differentiating the financing of elite and non-elite institutions.

Assessing student learning outcomes has become a global trend in higher education. In this paper, we report on the validation of the Chinese HEIghten® Critical Thinking assessment with a nationally representative sample of Electrical Engineering and Computer Science students from 35 institutions in China. Key findings suggest that there was a test delivery mode effect favoring the paper tests over the online tests. In general, the psychometric quality of the items was satisfactory for low-stakes, group-level uses but there were a few items with low discrimination that awaits further investigation. The relationships between test scores and various external variables such as college entrance examination scores, university elite status and student perceptions of the test were as expected. We conclude with speculations on the key findings and discussion of directions for future research.

This paper empirically estimates the return to education using twins data that the authors collected from urban China. Our ordinary least-squares estimate shows that one year of schooling increases an individual's earnings by 8.4%. If we use a within-twin fixed effects model, the return is reduced to 2.7%, but rises to 3.8% after the correction of measurement error. These results suggest that a large portion of the estimated returns to education is due to omitted ability or the family effect. We further investigate why the true return is low and the omitted ability bias high, and find evidence showing that it may be a consequence of China's education system, which is highly selective and exam oriented. More specifically, we find that high school education may mainly serve as a mechanism to select college students, but as a human capital investment per se it has low returns in terms of earnings. In contrast, both vocational school education and college education have a large return that is comparable to that found in the United States.

We estimate the return to attending elite colleges in China using 2010 data on fresh college graduates. We find that the gross return to attending elite colleges is as high as 26.4%, but this figure declines to 10.7% once we control for student ability, major, college location, individual characteristics, and family background. The wage premium is larger for female students and students with better-educated fathers. We also find that the human capital and experiences accumulated in elite colleges can explain almost all the wage premium.

In the 1990s, rural youth from poor counties in China had limited access to college. After mass college expansion started in 1998, however, it was unclear whether rural youth from poor counties would gain greater access. The aim of this paper is to examine the gap in college and elite college access between rural youth from poor counties and other students after expansion. We estimate the gaps in access by using data on all students who took the college entrance exam in 2003. Our results show that gaps in access remained high even after expansion. Rural youth from poor counties were seven and 11 times less likely to access any college and elite Project 211 colleges than urban youth, respectively. Much larger gaps existed for disadvantaged subgroups (female or ethnic minority) of rural youth from poor counties. We also find that the gaps in college access were mainly driven by rural–urban differences rather than differences between poor and non-poor counties within rural or urban areas.