Mismatch distribution of population and industry in China: Pattern, problems and driving factors

Guan, Xingliang; Wei, Houkai; Lu, Shasha; Su, Hongjian

doi:10.1016/j.apgeog.2018.05.021

Cited by 58 publications

(17 citation statements)

References 32 publications

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“…Among international graduates surveyed, 58 percent came from eastern provinces and 31 percent from central provinces, with the few remaining participants coming from western China. The distribution of international graduates’ registered places of residence across the three parts of China (eastern, central, and western provinces) conforms to the general distribution of the country’s population (14 to 9 to 1 in the eastern, central, and western provinces, respectively; Guan et al 2018). Among international graduates surveyed, 24 (7 percent) had registered residences in rural areas, but only five participants were living in rural areas after finishing their UK master’s courses and returning to China.…”

Section: Empirical Findingsmentioning

confidence: 61%

The Impact of Place of Origin on International and Domestic Graduates’ Mobility in China

Zhai

Moskal

2021

International Migration Review

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This article addresses the cumulative effect of graduate migration and opportunities for career development. Using data from an online survey of 756 master’s-level graduates educated in China and the UK, it examines their geographical mobility patterns and reveals significant differences between Chinese students who graduated from domestic universities and those who were educated abroad. Spatial autocorrelation analysis shows that international returnees, who usually had more privileged family backgrounds, clustered in China’s highly developed core cities of the Bohai Economic Rim and Yangtze River Delta regions, such as Beijing and Shanghai, while domestic graduates tended to work and live in less affluent medium-sized cities around these regions. Women international graduates were more mobile than their men counterparts. Our results provide new evidence that draws attention to migration’s role in graduate career development opportunities and highlights inherent economic discrimination within China, which is perpetuated by the national residency permit system — Hukou. The case of Chinese graduates shows that the mobility patterns of international and domestic graduates are influenced by and contribute to growing regional inequalities for career development in China.

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Section: Empirical Findingsmentioning

confidence: 61%

The Impact of Place of Origin on International and Domestic Graduates’ Mobility in China

Zhai

Moskal

2021

International Migration Review

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“…In exploring the evolution process of rural settlement morphology, most of the existing methods only process the image appearance features obtained from remote sensing images, and these features usually lack in-depth information, which makes it difficult to obtain ideal prediction results when processing complex image information [11,12]. In recent years, depth neural network model has been greatly popularized in the field of vision.…”

Section: Related Workmentioning

confidence: 99%

A Graph Neural Network (GNN) Algorithm for Constructing the Evolution Process of Rural Settlement Morphology

Chen

Xie

2022

Security and Communication Networks

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Traditional statistical methods were mainly used to study the evolution process of rural settlement form and scale from a qualitative perspective, but it was difficult to quantitatively analyze the evolution process of the rural settlement form. Therefore, this paper proposed an intelligent monitoring method of rural settlement morphology evolution process based on the graph neural network (GNN) algorithm. Firstly, the specific working process of image feature extraction, analysis, and processing based on the graph neural network (GNN) algorithm was described. Secondly, combined with the change characteristics of rural settlement morphology evolution and scale development, the graphical neural network algorithm was used to effectively extract the morphological characteristics of rural settlements, and the monitoring information characterizing the dynamic changes of rural settlement morphology and scale was obtained through feature clustering. Finally, through experiments and using the graph neural network algorithm, the evolution process of rural settlement morphology was monitored in real time. The experimental results showed that the monitoring data obtained by this method were basically consistent with the actual statistical results, which showed that the intelligent monitoring method of the rural settlement form evolution process based on graph neural network algorithm can better reflect the dynamic change process of the rural settlement form and scale development. This study will provide some theoretical reference and guiding significance for the quantitative analysis of the evolution process of the rural settlement morphology and its influencing factors.

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“…Scholars at home and abroad have conducted much research on population distribution [27,28], but there are few literatures that characterize the population spatial pattern followed by the cumulative percentage of population, GDP and surface area based on population density in view of the unique national conditions in China and the series of problems, such as mismatch between population urbanization and land urbanization, and environmental pollution, that have arisen in the process of rapid urbanization. At the same time, what kind of spatial distribution structure based on the characteristics of the population, is better for urbanization, different countries and regions for different research purposes, while the spatial distribution structure of the population has its own feature.…”

Section: Introductionmentioning

confidence: 99%

Study on Population Distribution Pattern at the County Level of China

Guo

et al. 2018

Sustainability

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With the accelerating urbanization process, the population increasingly concentrates in urban areas. In view of the huge population in China and a series of problems in the process of rapid urbanization, there are no unified measures for characterizing the population pattern. This study explores the distribution pattern of the Chinese population and proposes a spatial distribution structure of population using GIS (Geographic Information System) analysis. The main findings are as follows: (1) In 2015, the distribution of population density in China presents a pattern of high in the southeast and low in the northwest based on the county-level administrative regions. The population main lives in the southeast of China based on the “Hu Huanyong Line”. (2) There is a great difference of the spatial correlation between land area, population and GDP (Gross Domestic Product) in China. The economic concentration in China is higher than the population concentration. In the areas where population and GDP are aggregated, per capita GDP is higher. (3) Based on the areas with highly aggregated population and GDP, the spatial distribution structure of population of “1 + 4 + 11” for China’s urbanization is put forward, namely, one national-level aggregated area of population and GDP, 4 regional-level aggregated areas of population and GDP, and 11 local regionally aggregated areas of population and GDP. This spatial structure represents an attempt to explore the direction of China’s urbanization, and it can be used to optimize the spatial development pattern and provide scientific guidance for the future urbanization plan.

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Mismatch distribution of population and industry in China: Pattern, problems and driving factors

Cited by 58 publications

References 32 publications

The Impact of Place of Origin on International and Domestic Graduates’ Mobility in China

The Impact of Place of Origin on International and Domestic Graduates’ Mobility in China

A Graph Neural Network (GNN) Algorithm for Constructing the Evolution Process of Rural Settlement Morphology

Study on Population Distribution Pattern at the County Level of China

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