415
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Explaining intention to apply renewable energy in agriculture: the case of broiler farms in Southwest Iran

ORCID Icon, &
Pages 836-846 | Received 18 Sep 2020, Accepted 07 Aug 2021, Published online: 26 Aug 2021
 

ABSTRACT

The government of Iran has established national targets for the deployment of renewable energy sources (RES) across various sectors in the country, including agriculture. Human factors, such as the intention and willingness to use RES, are crucial for understanding RES deployment. This paper focuses on one group of stakeholders, farmers in Iran, and investigates what factors influence their intention and willingness to use RES in the energy-intensive broiler industry. The theoretical basis of the study is the health belief model (HBM). Empirical data were collected using a survey, which was developed based on the available evidence of human factors of the energy transition. Cronbach’s alpha was used to examine the internal reliability of the items of each variable through a pilot study. All scales had acceptable to good reliabilities of about 0.67 to 0.79. Altogether, 150 broiler farm owners participated, selected from Bushehr Province in southern Iran using a random sampling procedure. Structural equation modeling showed that 67% of the variation in farmer intention to use RES can be estimated. Cue to action, self-efficacy, and general health concern, also have a significant effect on intention, whereas other variables do not. The findings showed the HBM to be an effective tool for predicting farmers’ intentions to use RES. Based on these findings, more information needs to be provided to people to encourage them to use RES. Energy policy programs should pay special attention to educational and awareness-raising programs when seeking to increase renewable energy and other environmental behaviors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 405.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.