The article discusses how the relationships between traders and farmers in agricultural markets are influenced by transaction costs, power dynamics, and risks. The researchers propose a new method to model the choice of contractual arrangements between buyers and sellers, considering various factors like the characteristics of the parties involved, the commodity being traded, and the overall market environment. By using a non-linear programming approach, this method can help analyze and improve market efficiency, individual firms' decisions, and policy interventions in agricultural markets.