Farmers’ Behavioral Intention to Adopt Agrovoltaic Systems in Semi-Arid Iran: Findings from Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis

Articles in Press

Document Type : Original Article

Authors
Shirin Zarif Moradian
Mahmoud Daneshvar Kakhki
Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.
Abstract
Water scarcity and energy insecurity threaten sustainable agriculture in semi-arid regions such as Iran, underscoring the need for innovations like agrovoltaic (AV) systems. This study was conducted in Fariman County, a water-stressed agricultural region in northeastern Iran, and investigates the determinants of Iranian farmers’ behavioral intention to adopt AV technology based on survey data collected from 215 large-scale irrigated farmers using a face-to-face questionnaire. The study employs a mixed-method approach that integrates Structural Equation Modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), the study examines key behavioral and contextual factors influencing farmers’ behavioral intentions to adopt Agrovoltaic systems. SEM results indicate that perceived benefits, ease-of-use considerations, and social influences significantly shape behavioral intentions, explaining a substantial proportion of variance in behavioral intention (R² =0.58), while risk perceptions weaken the impact of perceived benefits. fsQCA identifies three alternative pathways leading to high behavioral intention, all characterized by low perceived risk and strong social influence. The findings emphasize that psychological and social factors are as critical as technical and economic ones. Policy efforts should therefore focus on reducing perceived risks and leveraging social networks to accelerate AV adoption in water-stressed agriculture.

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Journal of Agricultural Science and Technology

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Available Online from 14 January 2026