Scott Rozelle

Dr. Scott Rozelle

Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 November 2009 in Urban Studies
Verified
Journal Article
Closed access
Xiangzheng DengXiangzheng Deng
Xiangzheng Deng
Jikun HuangJikun Huang
Jikun Huang
Scott RozelleScott Rozelle
Scott Rozelle
EUEmi Uchida
Emi Uchida
This paper aims to demonstrate the relationship between economic growth and the urban core area in order to help urban planners reach a better understanding of the pressures that are leading to changes in land use. Using a unique panel dataset with measures of China’s land use, it is shown that, during the late 1980s and 1990s, China’s urban land area rose significantly. Descriptive statistics and multivariate analysis are then used to identify the determinants of urban land use change. In addition to using more standard regression approaches such as ordinary least squares, the analysis is augmented with spatial statistical analysis. The analysis demonstrates the overwhelming importance of economic growth in the determination of urban land use. Overall, it is found that urban land expands by 3 per cent when the economy, measured by gross domestic product, grows by 10 per cent. It is also shown that the expansion of the urban core is associated with changes in China’s economic structure. If urban planners have access to forecasts of economic growth, using these results they should be able to have a better basis for planning the expansion of the built-up area in the urban core.

Jin LiuJin Liu
Jin Liu
Scott RozelleScott Rozelle
Scott Rozelle
QXQing Xu
Qing Xu
NYNeil Ning Yu
Neil Ning Yu
TZTianshu Zhou
Tianshu Zhou
This study examines the impact of social engagement on elderly health in China. A two-stage residual inclusion (2SRI) regression approach was used to examine the causal relationship. Our dataset comprises 9253 people aged 60 or above from the China Health and Retirement Longitudinal Survey (CHARLS) conducted in 2011 and 2013. Social engagement significantly improved the self-rated health of the elderly and reduced mental distress, but had no effect on chronic disease status. Compared with the rural areas, social engagement played a more important role in promoting the elderly health status in urban areas. Social engagement could affect the health status of the elderly through health behavior change and access to health resources. To improve the health of the elderly in China and promote healthy aging, the government should not only improve access to effective medical care but also encourage greater social engagement of the elderly.

25 February 2013 in Contemporary Economic Policy
Verified
Journal Article
Closed access
PDF file
JZJunxia Zeng
Junxia Zeng
XPXiaopeng Pang
Xiaopeng Pang
LZLinxiu Zhang
Linxiu Zhang
AMAlexis Medina
Alexis Medina
Scott RozelleScott Rozelle
Scott Rozelle

3 December 2015 in The China Quarterly
Verified
Journal Article
Open access
PDF file
YSYaojiang Shi
Yaojiang Shi
LZLinxiu Zhang
Linxiu Zhang
YMYue Ma
Yue Ma
HYHongmei Yi
Hongmei Yi
CLChengfang Liu
Chengfang Liu
Scott RozelleScott Rozelle
Scott Rozelle
Students in rural China are dropping out of secondary school at troubling rates. While there is considerable quantitative research on this issue, no systematic effort has been made to assess the deeper reasons behind student decision making through a mixed-methods approach. This article seeks to explore the prevalence, correlates and potential reasons for rural dropout throughout the secondary education process. It brings together results from eight large-scale survey studies covering 24,931 rural secondary students across four provinces, as well as analysis of extensive interviews with 52 students from these same study sites. The results show that the cumulative dropout rate across all windows of secondary education may be as high as 63 per cent. Dropping out is significantly correlated with low academic performance, high opportunity cost, low socio-economic status and poor mental health. A model is developed to suggest that rural dropout is primarily driven by two mechanisms: rational cost-benefit analysis or impulsive, stress-induced decision making.

9 March 2015 in The China Quarterly
Verified
Journal Article
Closed access
PDF file
HLHongbin Li
Hongbin Li
PLPrashant Loyalka
Prashant Loyalka
Scott RozelleScott Rozelle
Scott Rozelle
BWBinzhen Wu
Binzhen Wu
JXJieyu Xie
Jieyu Xie
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.

8 October 2010 in Contemporary Economic Policy
Verified
Journal Article
Closed access
PDF file
ZCZhuo Chen
Zhuo Chen
WHWallace E. Huffman
Wallace E. Huffman
Scott RozelleScott Rozelle
Scott Rozelle