Environmental pollution generated by the home-based tofu industry remains a major environmental governance challenge in East Lombok Regency. Although this sector contributes to local economic growth and employment, many enterprises still have limited capacity for waste management and compliance with environmental regulations. Conventional law enforcement, which primarily emphasizes sanctions, has not effectively promoted environmental restoration or long-term compliance. Therefore, a restorative justice approach is needed to develop a more adaptive, collaborative, and recovery-oriented environmental law enforcement model. This study examines the effects of environmental law enforcement, green industry practices, and socio-ecological conditions on restorative justice while developing an environmental law enforcement model for the tofu home industry in Masbagik District, East Lombok Regency. The research employed a mixed-method approach using Partial Least Squares–Structural Equation Modeling (PLS-SEM). Primary data were collected through interviews with tofu home industry operators and relevant stakeholders, then analyzed using outer and inner model evaluations. The findings reveal that environmental law enforcement positively and significantly influences restorative justice (β = 0.335; p < 0.001), followed by green industry practices (β = 0.247; p = 0.001) and socio-ecological conditions (β = 0.425; p < 0.001). The proposed model demonstrates that effective law enforcement strengthens business commitment, promotes green industry implementation, improves socio-ecological conditions, reinforces restorative justice, and enhances public trust. This model provides a policy framework for local governments to strengthen sustainable, equitable, and environmentally responsible governance of home-based tofu industries.