Effect analysis of the driving factors of super-gentrification using structural equation modeling

PLoS One. 2021 Mar 12;16(3):e0248265. doi: 10.1371/journal.pone.0248265. eCollection 2021.

Abstract

The study of super-gentrification has important practical significance for maintaining social fairness, spatial justice and achieving sustainable urban development. In this article, 23 driving factors influencing super-gentrification are identified by literature research and Delphi method. Then, the 23 driving factors affecting super-gentrification are divided into four dimensions: political, economic, social and spatial dimension. On this basis, hypotheses are proposed and a structural equation model is established. Then, SPSS 25.0 and AMOS 24.0 software are used to test the reliability and validity of the questionnaire data, and the model results are fitted and modified. Finally, the optimization model and path coefficient of super-gentrification driving factors are calculated. The results of the study show that political factors, economic factors, social factors, and spatial factors, all play a positive role in the development of super-gentrification. Social factors are the fundamental factors to promote super-gentrification, political factors, economic factors, and spatial factors also play a key role in the super-gentrification process.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Latent Class Analysis
  • Social Change*
  • Social Justice
  • Urban Health
  • Urban Renewal*

Grants and funding

This study is supported by the National Social Science Foundation of China (19BGL274).