Assessments of poverty among agricultural households in Sub-Saharan Africa often rely on either monetary or multidimensional indicators considered separately, overlooking key structural constraints. This study investigates the determinants of both monetary and multidimensional poverty among agricultural households in Togo. Using nationally representative EHCVM 2021/22 data from 2893 households, monetary poverty is measured using the Foster–Greer–Thorbecke Index, while multidimensional poverty is assessed with the Alkire–Foster method. A survey-weighted logit model is employed to identify the drivers associated with each poverty dimension. Results show that multidimensional poverty (59.40%) is more widespread than monetary poverty (51.50%). Education substantially reduces poverty risk, whereas larger household size, limited market access, and residence in the Savannah region increase it. Economic and natural shocks are negatively associated with monetary and absolute poverty, while cooperative membership raises the likelihood of being poor. Investment in livestock (TLU) reduces monetary poverty but increases multidimensional deprivation. These findings highlight that poverty among agricultural households in Togo is shaped by interconnected socioeconomic and institutional constraints rather than income deprivation alone. Therefore, integrated strategies aligned with the Sustainable Development Goals, particularly those promoting education, rural credit access, market integration, and resilience-building, are essential for achieving effective and context-specific poverty reduction.

In the context of rural sustainability and poverty alleviation within the developing world, a key dilemma facing the international community is to identify suitable strategies and mechanisms to bring multiple stakeholders together to work in efficient and sustainable ways. This paper focuses on the Public–Private–Producer Partnership (4P), a model that involves cooperation between government agencies, business firms, and small-scale producers to foster mutual trust and enhance collaboration through infrastructure development and capacity building in the agricultural value chain. Drawing on evidence from China, Indonesia, Rwanda, Ghana, and Nigeria, this study examines the impact of 4P on crop productivity, agricultural infrastructure, market access, stakeholder empowerment, employment, the land tenure system, and household income. This paper combines value chain analysis, Theory of Change mapping, and both qualitative and quantitative evaluation techniques to assess how the 4P model functions in different institutional and ecological contexts. While the model promotes inclusive growth, it also faces challenges such as price volatility, insufficient long-term sustainability, and limited integration of smallholder farmers into formal value chains. The paper discusses policy implications for improving the 4P model’s effectiveness in poverty alleviation and local economic development, highlighting the importance of better governance structures, financial mechanisms, and market stability. This paper sheds new light on inclusive, justified, and sustainable collaboration mechanisms for participatory agencies and individuals.