2015
DOI: 10.1002/psp.1996
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The Influence of Income, Lifestyle, and Green Spaces on Interregional Migration: Policy Implications for China

Abstract: Interregional migration has become an important driver shaping the economic landscape in China. By using 2010 Chinese census data, this study investigates the determinants of interregional migration and their implications for regional growth, estimated using principal component analysis, and a negative binomial regression model. In particular, it measures the roles of region size, income and lifestyle, green spaces, and employment opportunities in the origin and destination regions, and distance between the tw… Show more

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Cited by 44 publications
(52 citation statements)
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“…Under the spotlight are China's "first-tier" megacities of Beijing, Shanghai, Guangzhou, and Shenzhen, plus a couple dozen provincial capitals, which are the most powerful magnets for migrants. Whereas China's internal migration has been thoroughly explored at the regional level (Chan, Liu, & Yang, 1999;Liu & Xu, 2015;Shen, 2012;Yang, Cai, Qi, Liu, & Deng, 2015), analysis at the city level has mostly emphasized the prominent migration flows to the first-tier cities and provincial capitals as well as the resultant social stratification in those cities (Cui, Hooimeijer, Geertman, & Pu, 2015;Fan, Sun, & Zheng, 2011). More specific research questions, such as gender differences (Fan, 2003), income disparities (Gravemeyer, Gries, & Xue, 2011), and housing choice (Huang, Dijst, van Weesep, Jiao, & Sun, 2016;Li, 2012), have almost always been investigated in the large and extralarge cities.…”
Section: Introductionmentioning
confidence: 99%
“…Under the spotlight are China's "first-tier" megacities of Beijing, Shanghai, Guangzhou, and Shenzhen, plus a couple dozen provincial capitals, which are the most powerful magnets for migrants. Whereas China's internal migration has been thoroughly explored at the regional level (Chan, Liu, & Yang, 1999;Liu & Xu, 2015;Shen, 2012;Yang, Cai, Qi, Liu, & Deng, 2015), analysis at the city level has mostly emphasized the prominent migration flows to the first-tier cities and provincial capitals as well as the resultant social stratification in those cities (Cui, Hooimeijer, Geertman, & Pu, 2015;Fan, Sun, & Zheng, 2011). More specific research questions, such as gender differences (Fan, 2003), income disparities (Gravemeyer, Gries, & Xue, 2011), and housing choice (Huang, Dijst, van Weesep, Jiao, & Sun, 2016;Li, 2012), have almost always been investigated in the large and extralarge cities.…”
Section: Introductionmentioning
confidence: 99%
“…It has long been recognised that the level of migration falls off with increasing distance between origin and destination (Ravenstein, 1885), and tools to quantify the migration or distance relationship have been available for a considerable period (Fotheringham & O'Kelly, 1989;Wilson, 1967). Nevertheless, there are few studies that have focused on quantifying the deterrence effect; see, for example, Makower, Marschak, and Robinson (1938); Schwartz (1973);and Yang, Cai, Qi, Liu, and Deng (2015) in a British, American, and Chinese context, respectively. Stillwell et al (2016) suggest that this is because of the absence of suitable datasets that provide origin and destination location with sufficient accuracy (see also Niedomysl, Ernstson, & Fransson, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…The political superstructure achieved the regional division and dynamic management by dividing the regions and ruling them. The historical set-up of administrative divisions was based on national unity and political stability, the modern adjustment of administrative divisions mainly served the practical needs of rapid economic and social development, as well as promoting urbanization (Zhou, 1998;Zhang et al, 2013;Yang et al, 2017). The adjustment of administrative divisions had the objective of promoting social and economic development in the different urban development stages.…”
Section: Introductionmentioning
confidence: 99%