Theory and application of positive mathematical programming in agriculture and the environment

Abstract

This review critically looks at the theoretical and empirical foundations of positive mathematical programming and its evolution in the past decade or so. We show how the need to model new empirical phenomena has induced the literature to rethink model specifications and to address new questions in the area of calibrated programming. We also raise a number of modeling questions that, in our view, ought to be addressed in future research.