Improving on Shadow Price Information for Identifying Critical Farm Machinery

A method is presented for identifying critical farm machinery in a linear programming context. The method uses a technical coefficient sensitivity analysis formula that overcomes problems associated with direct use of shadow prices for critical machinery identification. Case studies show the formula identifies the benefits of altering machinery generally with less than 10% error.