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This study explores the complex interplay between social conflict and forest resource exploitation in the context of the Rohingya refugee crisis in Bangladesh. While previous research has largely treated deforestation as a cause and social conflict as a consequence, our study proposes a cyclical model in which these two dynamics reinforce each other. Based on empirical data collected from 398 refugee households in the Kutupalong camp, we find that fuelwood collection is primarily driven by low adaptive capacity, unstable income, limited access to alternative energy, and lack of livelihood options. The influx of refugees has intensified pressure on already-degraded forests, leading to competition with host communities and escalating tensions. Our binary logistic regression analysis identifies key socioeconomic predictors of forest dependency. We propose a conceptual framework highlighting both “enforce drivers” and “break drivers” that sustain or disrupt the conflict-deforestation cycle. In the cycle, the social conflict causing deforestation was empirically shown, while deforestation causing social conflict was discussed based on relevant theories. Addressing this vicious cycle requires an integrated approach involving clean energy access, sustainable livelihood development, and participatory forest governance. These findings provide critical insights for policymakers and practitioners working on humanitarian and environmental issues in conflict-affected regions, offering a scalable framework for mitigating the socio-ecological impacts of forced migration and resource scarcity. • Identifies socioeconomic drivers of forest dependence among Rohingya refugees. • Fuelwood collection emerges as the primary form of forest exploitation. • Low adaptive capacity and limited clean energy access intensify forest pressure. • Proposes a reinforcing cycle between social conflict and deforestation. • Social conflict leading to deforestation was established based on empirical evidence, and the opposite was suggested based on relevant theories.
Ullah et al. (Wed,) studied this question.