<p>The literature agrees on the negative association between Subjective Well-Being (SWB) and intention to move. People with lower levels of SWB are more likely to move, while those with higher levels tend to stay. However, the role of life domains in this relationship is not established. In this article, we place our exploration of the impact of SWB on the intention to move within a multidimensional and spatial supervised framework. We draw on unique and original data from a questionnaire survey that we conducted in October 2023 among the French population. We asked a representative sample of 3,000 respondents about their perceived well-being, focusing on everyday life domains, and about their intention to move within the next 5 years. After an initial step aimed at identifying the main dimensions that structure SWB, we disentangle the predictors-outcome relationship across space, using a spatialised modeling method: Geographically Weighted Regression. We estimate parameters that vary locally within the same model, to explain internal migration intentions of French people, based on the SWB dimensions as a non-stationary phenomenon across space. The results highlight the spatially heterogeneous contribution of SWB dimensions in France, showing that their contribution as determining factors does follow some spatial patterns. Local mechanisms of SWB that explain individuals’ intention to move or to stay are also revealed. These can be used to draw up portraits of territories that are interesting from a public policy perspective.</p>

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The role of subjective well-being in the migration intention in France: Are life domains spatially determinant?

  • Vanessa Kuentz,
  • Christophe Boschet

摘要

The literature agrees on the negative association between Subjective Well-Being (SWB) and intention to move. People with lower levels of SWB are more likely to move, while those with higher levels tend to stay. However, the role of life domains in this relationship is not established. In this article, we place our exploration of the impact of SWB on the intention to move within a multidimensional and spatial supervised framework. We draw on unique and original data from a questionnaire survey that we conducted in October 2023 among the French population. We asked a representative sample of 3,000 respondents about their perceived well-being, focusing on everyday life domains, and about their intention to move within the next 5 years. After an initial step aimed at identifying the main dimensions that structure SWB, we disentangle the predictors-outcome relationship across space, using a spatialised modeling method: Geographically Weighted Regression. We estimate parameters that vary locally within the same model, to explain internal migration intentions of French people, based on the SWB dimensions as a non-stationary phenomenon across space. The results highlight the spatially heterogeneous contribution of SWB dimensions in France, showing that their contribution as determining factors does follow some spatial patterns. Local mechanisms of SWB that explain individuals’ intention to move or to stay are also revealed. These can be used to draw up portraits of territories that are interesting from a public policy perspective.