Spatial patterns and determinants of skilled internal migration in China, 2000–2005

Abstract

Abstract. This paper examines the spatial patterns and determinants of China's interprovincial skilled migration by using data from 2005 one per cent population sample survey. While the coastal region benefits from the influx of skilled labour, the rest of China suffers from severe brain drain. Estimates from zero-inflated negative binomial gravity models indicate that employment opportunities, especially interregional wage differentials, play a dominant role in attracting skilled labour, and that the impact of amenities on skilled migration turns out to be small and less clear. Findings suggest that China's skilled people prioritize their career prospects over the quality of life in the migration decision-making process.JEL classification: J61, O15, R23

The Production and Stock of College Graduates for U.S. States

“…More generally, a sizable literature has explored the various determinants and consequences of the migration decisions of both college graduates and non-graduates for the U.S. (Ferguson et al 2007;Chen and Rosenthal 2008;Whisler et al 2008;Partridge 2010;Partridge et al 2010;Scott 2010;Hawley and Rork 2013;Faggian and Franklin 2014;McHenry 2014;Leguizamon and Hammond 2015;Zheng 2015) and other countries Sheppard 2007a, 2007b;Hansen and Niedomysl 2009;Corcoran, Faggian, and McCann 2010;Brown and Scott 2012;Haapanen and Tervo 2012;Di Cintio and Grassi 2013;Faggian, Corcoran, and McCann 2013;Marinelli 2013;Venhorst 2013;Liu and Shen 2014;Miguélez and Moreno 2014;Carree and Kronenberg 2014;Abreu, Faggian, and McCann 2015). These studies collectively find that both amenities and employment opportunities have important effects on location decisions.…”

Destination Choice of Athenians: An Application of Geographically Weighted Versions of Standard and Zero Inflated Poisson Spatial Interaction Models

“…A classic review of the corresponding theory is the book by Fotheringham and O'Kelly (1989). The most popular include spatial filter models (Griffith 2007), spatial autoregressive models (LeSage and Pace 2008; Sellner et al 2013), autoregressive models with error components decomposition (Bolduc, Laferriere, and Santarossa 1995), multilevel Poisson model (Shen 2012), negative binomial regression (Biagi, Faggian, and McCann 2013;Liu and Shen 2014), zero inflated Poisson (ZIP) regression and zero inflated negative binomial (ZINB) regression (Burger, Van Oort, and Linders 2009;Liu and Shen 2014). Thus, the spatial interaction between origins and destinations within a country is modeled using a destination choice model for each origin.…”

Spatial labour mobility in a transition economy: Migration and commuting in Chile

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