EconPapers    
Economics at your fingertips  
 

Spatial Determinants of Life Satisfaction on the Aquitaine Coast: A Geographically-Weighted Regression Approach

Jean-Christophe Dissart () and Vanessa Kuentz-Simonet ()
Additional contact information
Jean-Christophe Dissart: Univ. Grenoble Alpes
Vanessa Kuentz-Simonet: INRAE Nouvelle-Aquitaine Bordeaux

Journal of Happiness Studies, 2025, vol. 26, issue 2, No 9, 25 pages

Abstract: Abstract This article explores the determinants of life satisfaction in Nouvelle-Aquitaine, France. We use the capability approach as the theoretical framework of the research, which enables us to select variables that reflect freedom of access to leisure activities, everyday life services and mobility. We also focus on place by taking account of amenities. Using Geographically Weighted Regression (GWR) on data from 1,039 questionnaires completed in 2021, measures of life satisfaction are regressed locally on synthetic variables that reflect place-based capabilities and amenities, and control variables that reflect more general socio-economic conditions. Empirical results show that though life satisfaction levels are generally high across the study area, space does play a role in explaining those levels as the most contributing variables differ from one area to another. In particular, all synthetic variables of place-based capabilities and amenities contribute to well-being variation, as well as household economic situation and housing condition, which reflect broader capabilities. Therefore, capability- and amenity-related variables largely explain life satisfaction, and GWR captures spatial differentiation.

Keywords: Well-being; Amenities; Capability approach; Spatial modeling; Aquitaine; France (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10902-024-00842-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jhappi:v:26:y:2025:i:2:d:10.1007_s10902-024-00842-8

Ordering information: This journal article can be ordered from
http://www.springer. ... fe/journal/10902/PS2

DOI: 10.1007/s10902-024-00842-8

Access Statistics for this article

Journal of Happiness Studies is currently edited by Antonella Delle Fave

More articles in Journal of Happiness Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jhappi:v:26:y:2025:i:2:d:10.1007_s10902-024-00842-8