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Negotiating Space and Identity: Digital Empowerment and Spatial Practices of Returning Older Adults in Rural China

Yuancheng Lin et al.

Tijdschrift Voor Economische en Sociale Geografie2026https://doi.org/10.1111/tesg.70079article
AJG 1
Weight
0.50

What the paper says

This study examines how returning older adults in rural China navigate spatial practices and reconstruct identities through digital technology. It reveals that the older adults returning to rural areas, motivated by affective ties to their hometowns, achieve entrepreneurial identity transformation through digital empowerment. Their initiatives contribute to local socio‐economic development, establishing them as pivotal endogenous drivers of rural advancement. As a novel category of rural elites, these returning entrepreneurial older adults utilise digital platforms for marketing and management while integrating individual experience with global knowledge systems. By adapting global frameworks to local contexts, their reflective spatial practices catalyse rural vitalisation through the reproduction of rural spaces and social relationships. This study contributes to understanding how digital inclusion empowers marginal groups to become agents of rural vitalisation. It offers a critical pathway for promoting the integration of digital technology and active aging, thereby providing valuable insights for inclusive rural development agendas.

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https://doi.org/https://doi.org/10.1111/tesg.70079

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@article{yuancheng2026,
  title        = {{Negotiating Space and Identity: Digital Empowerment and Spatial Practices of Returning Older Adults in Rural China}},
  author       = {Yuancheng Lin et al.},
  journal      = {Tijdschrift Voor Economische en Sociale Geografie},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/tesg.70079},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.