China's place attractivity, population mobility and its mechanisms: Perspectives from a full spectrum of spatial analyses

Yu Danlin, Zhang Yaojun

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Understanding the potential mechanisms of population mobility is important in population studies. The current study calculates a place attractivity score and collects 12 socioeconomic and natural condition factors at the prefecture-level in China. A full spectrum of spatial autoregression and eigenfunction-based spatial filtering models are employed to investigate the relationship between place attractivity and the factors at the global level, which assumes the relationship stays the same everywhere. A random-effects eigenfunction-based spatial filtering spatially varying coefficient model is used to check the relationships at local level, which admits that relationships might be different in different locations. Results suggest that the eigenvector spatial filtering analysis models perform better than other models. China's population mobility is primarily driven by economic push-pull factors. Accessibility, job opportunity, temperature and terrain also play roles in determining a prefecture's attractivity. Local analysis suggests that the relationships are likely only true in large migration destinations.

Original languageEnglish
Article numbere2596
JournalPopulation, Space and Place
Volume28
Issue number8
DOIs
StatePublished - Nov 2022

Keywords

  • China
  • eigenfunction based spatial filtering
  • global analysis
  • local analysis
  • place attractivity
  • spatial regression
  • urban population mobility

Fingerprint

Dive into the research topics of 'China's place attractivity, population mobility and its mechanisms: Perspectives from a full spectrum of spatial analyses'. Together they form a unique fingerprint.

Cite this