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Purpose: This mixed-methods study examined how differences in parental time, knowledge, and economic constraints, as well as community socioeconomic contexts, may contribute to differences in home language environment and child language ability outcomes between peri-urban and rural households in China.

Method: We conducted an explanatory sequential mixed-methods analysis using data from 158 children aged 18–24 months among peri-urban and rural households with low socioeconomic status (SES) in southwestern China. Audio recordings were collected from each household and analyzed using the Language ENvironment Analysis system. The Mandarin version of the MacArthur–Bates Communicative Development Inventories was administered to each child's primary caregiver. We also conducted qualitative interviews with primary caregivers in 31 peri-urban and 32 rural households. Interviews were recorded, transcribed, and coded.

Results: The quantitative results reveal that children in peri-urban households heard less adult speech and had lower language ability than children in rural households. Directed content analysis of interviews found that peri-urban caregivers faced more severe time constraints and less favorable community socioeconomic contexts than rural primary caregivers. Taken together, these findings suggest that differences in time constraints and community socioeconomic contexts between the two populations are the most likely factors contributing to the inferior language environment and language ability among children in peri-urban households.

Conclusion: The mixed-methods study indicated that parental time constraints and community socioeconomic contexts should be considered alongside SES for a comprehensive understanding of factors influencing parental investment in the home language environment in China.

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Language, Speech, and Hearing Services in Schools
Authors
Tianli Feng
Scott Rozelle
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A growing body of literature explores the effect of higher education on the urban–rural divide in China. Despite an increasing number of rural students gaining access to college, little is known about their performance in college or their job prospects after graduation. Using nationally representative data from over 40,000 urban and rural college students, we examine rural students’ college performance and estimate the impact of rural status on students’ first job wages in comparison to their urban peers. Our results indicate that once accepted into college, rural students perform equally as well, if not better, than their urban counterparts. Additionally, we discovered that rural students earn a 6.2 per cent wage premium compared to their urban counterparts in their first job after graduation. Our findings suggest the importance of expanding access to higher education for rural students, as it appears to serve as an equalizer between urban and rural students despite their significantly different backgrounds.

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The China Quarterly
Authors
Huan Wang
Claire Cousineau
Matthew Boswell
Hongbin Li
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We study how an elite college education affects social mobility in China. China provides an interesting context because its college admissions rely mainly on the scores of a centralized exam, a system that has been the subject of intense debate. Combining the data from a large-scale college graduate survey and a nationally representative household survey, we document three main findings.First, attending an elite college can change one’s fate to some extent. It raises the child’s rank in the income distribution by almost 20 percentiles. Nevertheless, it does not change the intergenerational relationship in income ranks or guarantee   one’s entry into an elite occupation or industry. Second, while elite college access rises with parental income, the disparity is less pronounced in China than in the United States. In China, top-quintile children are 2.3 times more likely to attend an elite college compared to bottom-quintile children, versus an 11.2-fold difference in the U.S. Third, the score-based cutoff rule in elite college admission is income neutral. Overall, these findings reveal both the efficacy and limitations of China’s elite colleges in shaping social mobility.

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Economic Development and Cultural Change
Authors
Hongbin Li
Lingsheng Meng
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We estimate the wage premium associated with having a cadre parent in China using a recent survey of college graduates carried out by the authors. The wage premium of having a cadre parent is 15%, and this premium cannot be explained by other observables such as college entrance exam scores, quality of colleges and majors, a full set of college human capital attributes, and job characteristics. These results suggest that the remaining premium could be the true wage premium of having a cadre parent.

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Journal of Development Economics
Authors
Hongbin Li
Lingsheng Meng
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This paper empirically investigates the labor market effects of China’s 2007 VAT reform, which significantly reduced the tax cost of capital investment. Employing city-by-year variation in the reform, we demonstrate that the tax cuts increased the earnings of skilled workers and left the earnings of the unskilled workers unaffected. Moreover, we find limited impacts of the reform on employment for both skill groups. These results suggest that the tax incentives increased the relative demand for skills, thus resulting in a higher income inequality between skilled and unskilled workers.

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Labour Economics
Authors
Hongbin Li
Lingsheng Meng
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China’s college admission increased by five times between 1998 and 2009. While the college premium for young workers declined, that for senior workers increased in this period. In our general equilibrium model, a rising demand for skills (education and experience) explains both trends. A demand shock leads to an expansion in the elastic college enrollment, depressing the college premium for young workers. With an inelastic supply, experienced college graduates continue to enjoy a rising premium. Despite the low immediate premium, young individuals continue to flood into colleges because they foresee high lifetime returns. Simulations match empirical results well.

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The Journal of Human Resources
Authors
Hongbin Li
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Despite private enterprises dominating China's labour market, college-educated workers are still highly concentrated in the state sector. Using data from the Chinese College Student Survey, we find that 64 per cent of students in the sample expressed a strong preference for state sector employment. We also identify several factors associated with receiving job offers from the state sector, including being male, holding urban hukou status, being a member of the CCP, performing well on standardized tests, attending elite universities and having higher household income or high-status parental backgrounds. These findings suggest that despite China's economic transition, the private sector may still struggle to attract highly educated workers.

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The China Quarterly
Authors
Hongbin Li
Lingsheng Meng
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Using administrative data on the Chinese National College Entrance Examination, we study how left-digit bias affects college applications. We find strong discontinuities in students' admission outcomes at 10-point thresholds. Students with scores just below multiples of 10 make more conservative college application choices that place them into less selective colleges and majors. In contrast, students who score at or just above multiples of 10 aim and achieve higher but are at greater risk of overshooting. The discontinuity reveals that, despite the educational and labor market consequences, students' self-evaluation based on exam scores is subject to information-processing heuristics.

Journal Publisher
Review of Economics and Statistics
Authors
Hongbin Li
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This event has been cancelled. 

We hope to see you at another SCCEI event!



Firm Selection and Growth in Carbon Offset Markets: Evidence from the Clean Development Mechanism in China


Carbon offsets could reduce the global costs of carbon abatement, but there is little evidence on whether they truly reduce emissions. We study carbon offsets sold by manufacturing firms in China under the United Nations’ Clean Development Mechanism (CDM). We find that offset-selling firms increase carbon emissions by 49% in the four years after starting an offset project, relative to a matched sample of non-applicants. We explain this increase in emissions by jointly modeling the firm decision to propose an offset project and the UN’s decision of whether to approve. In estimates of our model, CDM firms increase emissions due to both the selection of higher-growth firms into project investment (40 pp of the total) and the causal effect of higher efficiency, post-investment, on firm scale and therefore emissions (9 pp).



About the Speaker 
 

Daniel Yi Xu profile picture.

Daniel Yi Xu is a Professor of Economics at Duke University and a Faculty Research Associate at the National Bureau of Economic Research. His research focuses on the intersection of productivity, international trade, and industrial organization. Professor Xu’s current research agenda involves the use of large-scale microdata to model and estimate a broad range of dynamic individual firm decisions and to examine how these decisions impact resource allocation, industry performance, and economic growth, particularly in developing and emerging economies.

His most recent work has been published in leading economics journals, including the American Economic Review, Journal of Political Economy, Review of Economic Studies, RAND Journal of Economics, Review of Economic Dynamics, and Management Science. Professor Xu is currently a co-editor of the American Economic Journal: Microeconomics and an associate editor of the RAND Journal of Economics. He previously served as co-editor for the Review of Economics and Statistics and the Journal of Development Economics. Additionally, he has been an associate editor for the American Economic Journal: Applied, Economic Journal, Journal of Industrial Economics, Journal of International Economics, Quantitative Economics, and the Review of Economics and Statistics.
 


A NOTE ON LOCATION

Please join us in-person in the Goldman Conference Room located within Encina Hall on the 4th floor of the East wing.



Questions? Contact Xinmin Zhao at xinminzhao@stanford.edu
 


Goldman Room E409, Encina Hall

Daniel Yi Xu, Professor of Economics, Duke University
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Big Data China 3rd Annual Conference (Virtual)


The Turning Point? U.S.-China Relations, Economic Growth, and the Race for Technology Leadership


The event will be broadcast live from this webpage and YouTube.

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Join the third annual conference of Big Data China, a collaborative project by CSIS Trustee Chair in Chinese Business and Economics and Stanford Center on China's Economy and Institutions (SCCEI). China experts in the policy and academic communities will discuss the key challenges in U.S.-China relations, recent shifts in China's economic governance, and the global implications of technology competition with China.

 


AGENDA
 

8:00 - 8:30 am: Keynote Speech: Craig Allen, President, U.S.-China Business Council
 

8:45 - 9:45 am: Panel 1: Charting U.S.-China Relations: Key Challenges and Choices for the Incoming Administration


Moderator: Scott Kennedy, CSIS

Panelists:
Wendy Cutler, Asia Society Policy Institute
Bonnie S. Glaser, German Marshall Fund Indo-Pacific
Dennis Wilder, Georgetown University

10:00 - 11:00 am: Panel 2: China’s Economic Stimulus: A Short-Term Fix or Path to Sustainable Recovery?


Moderator: Scott Rozelle, Stanford Center on China’s Economy and Institutions

Panelists:
Ling Chen, Johns Hopkins SAIS
Andrew Polk, Trivium China
Margit Molnar, OECD
Logan Wright, CSIS

11:15 - 12:15 pm: Panel 3: Decoupling vs. De-risking: The Competitive Dilemma in Tech Innovation


Moderator: Ilaria Mazzocco, CSIS

Panelists:
Greg Allen, CSIS
Rebecca Arcesati, MERICS
Samm Sacks, Yale Law School Paul Tsai China Center
Kevin Xu, Interconnected
 


FEATURING
 

Craig Allen keynote speaker Big Data China conference December 10, 2024 Big Data China Conference panelists for December 10, 2024.

EVENT PARTNERS
 

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