From school to university to work: migration of highly educated youths in China

Liu, Ye; Shen, Jianfa; Xu, Wei; Wang, Guixin

doi:10.1007/s00168-016-0753-x

Cited by 81 publications

(76 citation statements)

References 39 publications

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“…Using China's 2005 1% population sample survey, Liu and Shen () compared the location choices of skilled and less‐skilled interprovincial migrants and found that migrants with a bachelor's degree were more responsive to wage levels and less responsive to distance or unemployment rates than less‐skilled migrants. Based on the same data, Liu, Shen, Xu, and Wang () examined the migration patterns of university entrants and graduates and concluded that university graduates tended to choose to live in cities with high wage levels. From these observations we developed the following hypothesis.Hypothesis Settlement decision is significantly different for migrants with different levels of educational attainment.…”

Section: Urban Economic (Dis)incentives Education and Migrants' Setmentioning

confidence: 99%

Settlement intention of migrants in the Yangtze River Delta, China: The importance of city‐scale contextual effects

Dang

Chen

Dong

2019

Population Space and Place

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Millions of Chinese migrants have moved from the countryside to cities to seek job opportunities and a better life. Under the policy shift from “land‐based urbanisation” to “people‐oriented urbanisation,” it is important to understand what determines migrants' settlement intentions. Although previous studies have primarily focused on sociodemographic impacts on settlement intention, the role of city‐level contexts is understudied. Drawing upon data, the 2015 Migrant Dynamic Monitoring Survey in the Yangtze River Delta, this paper addresses this gap by examining the impact of contextual features in host cities, including population size, employment structure, wage levels, and house prices on migrants' settlement intentions. We find that house prices are negatively associated with migrants' decision to settle, and wage levels have a positive effect on migrants with tertiary education. Cities with over 10 million residents or high administrative status are particularly attractive to migrants wishing to settle in urban environments.

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Section: Urban Economic (Dis)incentives Education and Migrants' Setmentioning

confidence: 99%

Settlement intention of migrants in the Yangtze River Delta, China: The importance of city‐scale contextual effects

Dang

Chen

Dong

2019

Population Space and Place

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“…Thus, these monetary incentives may be an unnecessary burden on the public budget (Artz & Yu, ). Sometimes, though, regional colleges/universities even may stimulate brain drain, for example, when the graduates do not find adequate jobs in the rural region (Hamm, Jäger, Kopper, & Kreutzer, ; Liu et al, ).Research question 2 Do students who study at a regional college or university have a higher intention to remain in a nonmetropolitan area?…”

Section: Literature Review On the Rural Return Migration Of Highly Edmentioning

confidence: 99%

“…Thus, these monetary incentives may be an unnecessary burden on the public budget (Artz & Yu, 2011). Sometimes, though, regional colleges/universities even may stimulate brain drain, for example, when the graduates do not find adequate jobs in the rural region (Hamm, Jäger, Kopper, & Kreutzer, 2013;Liu et al, 2017).…”

Section: Return Intentions and Regional Institutions Of Higher Educmentioning

confidence: 99%

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Return to the countryside: The return intentions of highly educated young people in the Akmola province of northern Kazakhstan

Buchenrieder

Dufhues

Möllers

et al. 2019

Population Space and Place

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The rural out‐migration of young people leads to problems such as “brain drain” and the overageing of the rural population. The purpose of this paper is to study return migration motives among students originating from rural areas. The case study relates to the province of Akmola, northern Kazakhstan. Based on data collected from college and university students (n = 357), a binary logistic regression model is used to identify rural return motives. Noneconomic and economic motives are equally important in forming a return intention. Our findings do not suggest that particularly underperforming students intend to return. As expected, compared with those in major cities, students who study in a regional town intend to return more often. We also found a large difference in return intentions along ethnic lines. Students of non‐Kazakh decent are much more likely to return than ethnic Kazakhs, and the two ethnic groups have quite distinct motives indicating signs of ethnic discrimination against non‐Kazakhs in the job market.

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“…However, few scholars have studied destination attractivity, while current studies of migration are mainly focused on the characteristics of migrants, interprovincial migrant flows and impacts on the economy, society and environment of migration destinations in China. Most scholars have used numbers or rates of in-migration or net migration as the main indices of migration flows [11,15,18,19,[28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

County-Scale Destination Migration Attractivity Measurement and Determinants Analysis: A Case Study of Guangdong Province, China

2019

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Measuring destination attractivity and finding the determinants of attractivity at the county scale can finely reveal migration flows and explain what kinds of counties have higher attractivity. Such understanding can help local governors make better policies to enhance county attractivity and attract more migrants for regional development. In this study, the county-scale relative intrinsic attractivity (RIA) of Guangdong Province is computed using the number of migrants and the corresponding distances between origins and destinations. The results show that the RIA has a higher positive correlation with the flows of migrants to destination and demonstrates an obvious phenomenon of distance decay. The RIA decreases faster when the distance between origins and destinations increases. Spatially, the RIA reveals a core-periphery belt pattern in Guangdong Province. The center of the Pearl River Delta is the highest core of RIA and the outside areas of the delta represent the low-RIA belt. The highest RIA is 6811 in Dongguan City and the lowest RIA is 1 in Yangshan County. The core area includes Dongguan, Shenzhen City and the southern regions of Guangzhou, Foshan and Zhongshan City where the RIA value is higher than 1000. The second belt is mainly composed of the periphery districts of the Pearl River Delta, which include Shunde, Nanhai, Luohu, Tianhe Huicheng, Panyu, Haizhu, Huiyang, Huadu, Yuexiu, Xiangzhou and the Yuexiu, Huangpu and Boluo, where the RIA values are higher than 100 and lower than 1000. The third belt includes the western wing, eastern wing and northern area. Most of these RIA values range from 1 to 2. In this belt, there are three areas with relatively higher RIA attractivity scattered in the ring: the downtowns of Zhanjiang City, Chaozhou and Shantou Cities and Shaoguan City. The areas farther away from the core have a lower RIA score. Determinants analysis indicates that the RIA is positively determined by destination economic development level, social service and living standard level and destination population quality. A region will be more attractive if it has higher per capital GDP, tertiary industry level, investment and number of industrial enterprises involved in economic development. A region with a high annual average wage of employees and high social service and living standards will be more attractive, while a region with low destination population quality, including aspects such as the adult illiteracy rate, will be less attractive.

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From school to university to work: migration of highly educated youths in China

Cited by 81 publications

References 39 publications

Settlement intention of migrants in the Yangtze River Delta, China: The importance of city‐scale contextual effects

Settlement intention of migrants in the Yangtze River Delta, China: The importance of city‐scale contextual effects

Return to the countryside: The return intentions of highly educated young people in the Akmola province of northern Kazakhstan

County-Scale Destination Migration Attractivity Measurement and Determinants Analysis: A Case Study of Guangdong Province, China

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