Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture

With the development of green agriculture, demand farmers for operation loans is increasing. Supply chain finance becoming a new way to solve problem difficult credit in agricultural development. As importance sustainability issues continues rise, there are growing numbers practical examples combining supply (ASCF) with sustainability, and attendant risks emerging. The objectives this study first construct risk indicator system sustainable ASCF, then propose fuzzy decision method that considers confidence decision-makers, finally perform assessment case coffee bean chain. A combination neutrosophic enhanced best–worst (NE-BWM) combined compromise solution (COCOSO) used evaluate problems. practicality effectiveness research verified by numerical simulation comparison method. results show rating core companies most important indicator. In context development, more suitable current transformation agriculture can help decision-makers scientifically reasonably assess level ASCF. When needed transform provides ideas models various actors offers entry point issue