Abstract

Strengthening pro-environmental behaviors is one of the approaches to protect the environment. Women make up half of the rural human society and their role in environmental activities is significant. The purpose of this study was to predict the rural women's pro-environmental behaviors (RWPEB) using protection motivation theory (PMT). The research method was descriptive-correlation which was done using structural equation modeling (SEM). Data gathering instrument was a standard questionnaire whose validity was assessed by convergent validity (CV) and its reliability was assessed by calculating Cronbach's alpha (α) and composite reliability (CR). The statistical population was rural women in Kermanshah township in Iran, 214 of whom were considered as a sample by stratified random sampling with proportional assignment. Data analysis was performed with SPSS and SmartPLS software. Based on the research findings, it was found that RWPEB is moderate. SEM results showed that perceived severity (PS) and self-efficacy (SE) variables had a direct, positive and significant effect on RWPEB. In addition, the variable of environmental awareness (EnAw) had a positive and significant effect on RWPEB indirectly through PMT components. Therefore, by improving the EnAw, SE and PS status of environmental issues among rural women, it is possible to develop their pro-environmentalist behaviors. For this purpose, paying attention to the balance in environmental policy-making and decision-making between rural women and men in the direction of environmental behaviors and focusing on the participation of rural women is a serious requirement. • The purpose was to predict the rural women's pro-environmental behaviors (RWPEB). • Theocratical background was protection motivation theory (PMT). • The research method was descriptive-correlational which was done using SEM. • Perceived severity (PS) and self-efficacy (SE) had positive and significant effect on RWPEB. • Balance in environmental policy-making between rural women and men is a serious requirement.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.