8 pages., Via Science Direct., This paper aims to use a comprehensive modeling framework to investigate the intention of Iranian livestock producers to deploy renewable energies on their farms to mitigate climate change. A survey was conducted in southern Iran using a random sample of farmers (n = 140). Structural equation modeling showed that attitude, moral norm, subjective norm, and perceived behavioral control are significant predictors of farmers' intention to use renewable energies. Attitude was determined by positive affect and perceived benefits, and moral norm was determined by perceived benefits, perceived cost, and outcome efficacy. The findings not only have public policy implications for promoting the use of renewable energies by farmers in Iran, but also contribute to the literature on environmental psychology, renewable energy, and pro-environmental behavior in a non-Western country.
Lombardi, Ginevra Virginia (author), Berni, Rossella (author), Rocchi, Benedetto (author), and Department of Economics and Management, University of Florence, Florence, Italy
Department of Statistics, Computer Science and Applications, University of Florence, Italy
Format:
Journal article
Publication Date:
2017-01-20
Published:
Italy: Elsevier Ltd.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 163 Document Number: D08145
