Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China

Pan He, Stefania Lovo, Marcella Veronesi

Research output: Working paper/PreprintWorking paperResearchpeer-review

1 Downloads (Pure)

Abstract

We provide novel empirical evidence on the association between social networks and the adoption of renewable energy technology. We distinguish between two main transmission mechanisms through which social networks can affect renewable energy technology adoption: information diffusion and social influence. Using data primarily collected from rural China on biogas adoption, we find that both mechanisms are at work. In addition, we find that information spreads through trusted network members, such as friends and family, while social influence is mainly exercised by government officials. Government officials are more likely to
promote the adoption of technology by leading by example rather than by spreading information.
Original languageEnglish
Number of pages29
Publication statusPublished - 2021

Bibliographical note

Discussion Paper No. 2021-19

Fingerprint

Dive into the research topics of 'Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China'. Together they form a unique fingerprint.

Cite this