Migrate to Skilled Cities: Human Capital Agglomeration and Urban-to-Urban Migration in China

Ye, Jingjing; Wu, Xiaokai; Tan, Jijun

doi:10.1080/1540496x.2016.1181875

Cited by 8 publications

(16 citation statements)

References 28 publications

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“…Our study extends the analysis in Fu and Gabriel (2012) and Ye et al (2016) in several important ways. First, Fu and Gabriel (2012) and Ye et al (2016) rely on cross-sectional data, while we utilize the panel structure of our data, thus leading to more accurate estimates. Second, Fu and Gabriel (2012) study only rural-to-urban migrants, and Ye et al (2016) focus only on urban-to-urban migrants.…”

Section: Background and Related Literaturesupporting

confidence: 68%

“…2 Nevertheless, only a handful of studies have directly investigated the link between human capital agglomeration and migration in China (Fu & Gabriel, 2012;Ye et al, 2016). Our study extends the analysis in Fu and Gabriel (2012) and Ye et al (2016) in several important ways. First, Fu and Gabriel (2012) and Ye et al (2016) rely on cross-sectional data, while we utilize the panel structure of our data, thus leading to more accurate estimates.…”

Section: Background and Related Literaturesupporting

confidence: 53%

“…Therefore, several recent studies have investigated the presence of human capital externalities in urban China, mostly from the perspectives of employment, wages, and firm performance (Glaeser & Lu, 2018;Liang & Lu, 2019;Liu, 2007Liu, , 2014Yang et al, 2020). 2 Nevertheless, only a handful of studies have directly investigated the link between human capital agglomeration and migration in China (Fu & Gabriel, 2012;Ye et al, 2016). Our study extends the analysis in Fu and Gabriel (2012) and Ye et al (2016) in several important ways.…”

Section: Background and Related Literaturementioning

confidence: 57%

“…First, Fu and Gabriel (2012) and Ye et al (2016) rely on cross-sectional data, while we utilize the panel structure of our data, thus leading to more accurate estimates. Second, Fu and Gabriel (2012) study only rural-to-urban migrants, and Ye et al (2016) focus only on urban-to-urban migrants. By including both groups of migrants in the analysis, this paper offers a more comprehensive and representative view of the recent migration dynamics in China.…”

Section: Background and Related Literaturementioning

confidence: 99%

“…To facilitate estimation, following the approach in Gabriel et al (1987), Gabriel et al (1993), Sasser (2010), Fu and Gabriel (2012), and Ye et al (2016), we focus on the function of the migration odds ratio P ijt / P iit , which describes the probability of an individual migrating from location i to location j, relative to the probability of staying in location i:…”

Section: Conceptual Frameworkmentioning

confidence: 99%

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Human capital agglomeration, institutional barriers, and internal migration in China

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This paper investigates how human capital agglomeration interplays with institutional factors to affect migration destination choice in China. Over the last decades, China has experienced massive internal migration, substantial human capital investment, and the relaxation of its hukou system, thus providing us with a valuable opportunity to examine the role of human capital externality in migration choice. Based on rich data on province‐to‐province migration flows for different education and hukou groups, we find that migrants in China, especially highly educated and urban‐to‐urban migrants, have a strong preference to move to provinces with a high agglomeration of human capital. Further examination reveals that low‐skilled migrants in China are less likely to benefit from human capital agglomeration because of their lower ability to overcome hukou restrictions. Our findings raise the concern that labor migration under the skill‐biased hukou system would enlarge China's regional disparities in human capital and economic development.

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Section: Background and Related Literaturesupporting

confidence: 68%

Section: Background and Related Literaturesupporting

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Section: Background and Related Literaturementioning

confidence: 57%

Section: Background and Related Literaturementioning

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confidence: 99%

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Income difference between highly educated migrants and highly educated local‐born workers in urban China

Wu,

Fong

2023

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Our study explores the income of highly educated migrants in China. Based on the 2014 China Labor‐force Dynamics Survey (CLDS), we conducted Blinder‐Oaxaca decomposition of income among highly educated migrants. we found that highly educated migrants, with or without local hukou, have higher income than highly educated local‐born workers. We also found that highly educated migrants without local hukou have higher average income than those with local hukou. Given that the average income is high and knowing a foreign language is highly rewarded in the eastern region and that highly educated migrants without local hukou are clustered in the eastern region, a large percentage of these highly educated migrants know a foreign language and their average income is higher than that of other two groups. Our study demonstrates that not having local hukou, though it brings institutional constraints, does not necessarily lead to lower economic attainment in comparison to having local hukou. If a group has more human capital resources and is sought‐after by the labour market, its members have the luxury of moving to cities where they can maximize their income.

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College education and internal migration in China

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Migrate to Skilled Cities: Human Capital Agglomeration and Urban-to-Urban Migration in China

Cited by 8 publications

References 28 publications

Human capital agglomeration, institutional barriers, and internal migration in China

Human capital agglomeration, institutional barriers, and internal migration in China

Income difference between highly educated migrants and highly educated local‐born workers in urban China

College education and internal migration in China

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