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

被引:24
|
作者
He, Pan [1 ]
Lovo, Stefania [2 ]
Veronesi, Marcella [3 ,4 ]
机构
[1] Southwestern Univ Finance & Econ, West Ctr Econ Res, Chengdu 611130, Peoples R China
[2] Univ Reading, Dept Econ, Reading, Berks, England
[3] Tech Univ Denmark, Dept Technol Management & Econ, Lyngby, Denmark
[4] Univ Verona, Dept Econ, Verona, Italy
关键词
Social networks; Social influence; Information diffusion; Renewable energy; Biogas; China; RURAL HOUSEHOLDS; DIFFUSION; DETERMINANTS; DECISION; IMPACT; OTHERS;
D O I
10.1016/j.eneco.2021.105789
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 primarily collected data on biogas adoption in rural China, 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 leading by example rather than by spreading information.
引用
收藏
页数:13
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