Labor migration, human capital agglomeration and regional development in China

Fu, Yuming; Gabriel, Stuart A.

doi:10.1016/j.regsciurbeco.2011.08.006

Cited by 141 publications

(113 citation statements)

References 55 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…These results are roughly in line with the work of Liu (2007) who also finds large human capital externalities in China. Fu and Gabriel (2012) find that the migration patterns of high-skilled workers suggest that they are particularly responding to human capital externalities in China. Note: Regressions at the individual level, restricted to urban prime-age males in areas with urban population of 100,000 or more.…”

mentioning

confidence: 85%

What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States

et al. 2016

View full text Add to dashboard Cite

Are the well-known facts about urbanization in the United States also true for the developing world? We compare American metropolitan areas with comparable geographic units in Brazil, China and India. Both Gibrat's Law and Zipf's Law seem to hold as well in Brazil as in the U.S., but China and India look quite different. In Brazil and China, the implications of the spatial equilibrium hypothesis, the central organizing idea of urban economics, are not rejected. The India data, however, repeatedly rejects tests inspired by the spatial equilibrium assumption. One hypothesis is that the spatial equilibrium only emerges with economic development, as markets replace social relationships and as human capital spreads more widely. In all four countries there is strong evidence of agglomeration economies and human capital externalities. The correlation between density and earnings is stronger in both China and India than in the U.S., strongest in China. In India the gap between urban and rural wages is huge, but the correlation between city size and earnings is modest. The cross-sectional relationship between area-level skills and both earnings and area-level growth are also stronger in the developing world than in the U.S. The forces that drive urban success seem similar in the rich and poor world, even if limited migration and difficult housing markets make it harder for a spatial equilibrium to develop.

show abstract

mentioning

confidence: 85%

What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States

et al. 2016

View full text Add to dashboard Cite

show abstract

“…They found that the wage level is an important incentive for the migration in China, as expected from theory. At the same time, other scholars have studied the social problems of urban-rural migration in China, such as human capital agglomeration [37], general discrimination [38] and environmental influence [39]. There are other studies that have studied the migration of Chinese provinces based on the gravity model.…”

Section: Literature Reviewmentioning

confidence: 99%

The Spatio-Temporal Characteristics and Modeling Research of Inter-Provincial Migration in China

2018

View full text Add to dashboard Cite

Abstract:The national census data during 1995 and 2000 and during 2005 and 2010 are selected in this paper to make an analysis of the spatio-temporal characteristics of the inter-provincial population migration in China. In addition, the general regression model, the extension regression model considering the historical dependent variable and the spatial lag model are established based on the gravity model to make the regression model on China's inter-provincial population migration over two periods of time. The results show that: (1) the inter-provincial population migration increases rapidly in size with strong geographical proximity; (2) China's inter-provincial population migration is still in the primary stage of the general process of population migration. In other words, the inter-provincial population emigration and immigration levels have increased greatly with the economic development; (3) Statistically, the inter-provincial population migration is negatively correlated with the level of economic development in the emigrant place and the migration distance and positively correlated with the level of economic development in the immigrant place and the population scale in the emigrant and immigrant places; and (4) The spatio-temporal factor is an important explanatory variable of population migration. The introduction of the historical dependent variable and the spatial lag factor can improve the regression effect of the gravity model greatly, and the historical variable and the spatial factor have strong explanatory power for the inter-provincial population migration.

show abstract

“…In Figure 1a, each square represents a country where all countries have relatively independent health labor markets because of the existence of borders and customs, and therefore, previous studies on the health workforce density differences can ignore the connections between them. When it comes to the health workforce distribution within countries (Figure 1b), each square represents one provincial unit or state, and the geographically defined health labor submarkets in provincial units or states are open and interrelated, and constant spillover effects (an economic term referring to the externalities of economic processes and activities influencing any other element not directly related to the activities where it can be both positive and negative [25]) may exist between different regions due to the frequent and massive population flow and inter-regional connections [26]. For instance, the immigration of health workforce resulting from wage gaps is the embodiment of the spillover effects between the health labor submarkets.…”

Section: Theoretical Modelmentioning

confidence: 99%

Modeling the Dynamics and Spillovers of the Health Labor Market: Evidence from China’s Provincial Panel Data

Zhu

Liu

2018

Sustainability

View full text Add to dashboard Cite

Abstract:Health workforce misdistribution is a major challenge faced by almost all countries. A more profound understanding of the dynamics of the health labor market provides evidence for policy makers to balance health workforce distribution with solid evidence. However, one major deficit of existing theoretical and empirical studies is that they often ignore the intra-regional spillovers of the health labor market. This study builds a theoretical "supply-demand-spillover" model that considers both intra-regional supply and demand-side factors, and inter-regional spillovers, hence providing a theoretical reference point for further in-depth studies. Using spatial econometric panel models, the effect of all determinants and spillovers were empirically measured based on a Chinese panel data set, shedding light on health workforce policies in China.

show abstract

Labor migration, human capital agglomeration and regional development in China

Cited by 141 publications

References 55 publications

What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States

What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States

The Spatio-Temporal Characteristics and Modeling Research of Inter-Provincial Migration in China

Modeling the Dynamics and Spillovers of the Health Labor Market: Evidence from China’s Provincial Panel Data

Contact Info

Product

Resources

About