Farmers’ unsustainable behavior: application of the integrative agent-centered (IAC) framework

Amirhossein Pirmoradi () and Farahnaz Rostami ()
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Amirhossein Pirmoradi: Razi Univeristy
Farahnaz Rostami: Razi Univeristy

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 12, No 5, 13542-13556

Abstract: Abstract Studies on unsustainable behavior for the population that depends principally on natural resources are important in order to mitigate the negative impacts of unsustainable behavior and consequently adopt to pro-environmental measures. These measures aid farmers to reduce the destructive effects of their farming activity and thus facilitate sustainable agriculture. To fill this gap, integrative agent-centered (IAC) framework was used as a theoretical framework to identify the main determinants of farmers' unsustainable behavior. The study population consisted of all farmers in mid-size western province of Iran (N = 31,309). Using Cochran's formula for determining sample size, 386 farmers were selected through a multistage stratified random sampling method. The research instrument was validated by agricultural faculty in college of agriculture and its reliability was confirmed using Cronbach's alpha coefficients through a pilot study. Results revealed that contextual factors, physiological arousal, and habits directly influenced farmers' unsustainable behavior. Moreover, subjective culture, emotional sense, and expectations indirectly affected farmers’ tendencies towards unsustainable behavior. Results of this study have practical and theoretical implications for agricultural policymakers. For example, by operationalizing predictors of unsustainable behavior we pave the path towards sustainability among farmers.

Keywords: Environment; Unsustainable behavior; Integrative agent-centered framework (IAC); Partial least squares model (PLS); Iran (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-021-01999-5

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