Blood and soil: How kinship and geographic proximity drive rooftop photovoltaic adoption in rural China

  • Diyi LIU
  • , Xiangyu LIU
  • , Suntong QI
  • , Yang YANG*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The widespread adoption of distributed rooftop photovoltaic (PV) systems in rural China remains a pressing challenge in the post-subsidy phase of the country's energy transition. This study integrates Construal Level Theory with peer influence perspectives to investigate how kinship ties (“blood”) and geographic proximity (“soil”) jointly shape household PV adoption decisions. Using a novel “kinship–spatial” factorial design and survey data from 2240 households in Jizhou District, Tianjin, the study isolates the causal effects of both dimensions. The results show that while geographic proximity significantly increases adoption willingness, kinship proximity has an even stronger effect—recommendations from relatives or clan members boost adoption likelihood by over 25 %. Moreover, the interaction between the two is synergistic: households embedded in both dense kinship networks and geographically proximate clusters are far more likely to adopt PV systems. These findings underscore the pivotal role of kinship-embedded social dynamics in driving renewable energy diffusion and suggest that policies leveraging both clan-based trust and neighborhood visibility could substantially accelerate the rural energy transition.

Original languageEnglish
Article number104481
JournalEnergy Research and Social Science
Volume131
Early online date4 Dec 2025
DOIs
Publication statusPublished - Jan 2026

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd.

Funding

This study was supported by the Natural Science Foundation of China (Grant No. 72304154), the Humanities and Social Science Fund of Ministry of Education of China (Grant No. 23YJCZH129), the Digital Business Program of Beijing Technology and Business University (Grant No. 19008024043), Faculty Research Grant from Lingnan University (Fund Code DB25A2), Start-up Grant from Lingnan University (Project Code SUG-012/2425), and Research Foundation for Youth Scholars of Beijing Technology and Business UniversityRFYS2025.

Keywords

  • Rooftop solar photovoltaics (PV)
  • Renewable energy adoption
  • Kinship networks
  • Geographic proximity
  • Kinship proximity

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