The study measures farm credit risk by using farm records collected by Farm Business Farm Management (FBFM) during the period 1995-2004. The study addresses the following questions: 1) whether farm’s financial position is fully described by the structure model, 2) what are the determinants of...

While there is no dearth of regression analyses or linear programming models reviewing the agricultural performance of Pakistan, hardly any study has used a price endogenous mathematical programming model to simulate the ex ante effects of new policies on consumers and producers simultaneously....

This paper uses economic, hydrologic, and GIS modeling to assess the effectiveness of the Illinois Conservation Reserve Enhancement Program in the Lower Sangamon watershed. Our results show that for a representative five-year storm event, the acres currently enrolled in the program result in a...

Mathematical programming models are widely used in agricultural sector analysis. However, the lack of micro-level data, as well as computational requirements, necessitate the aggregation of individual producers into representative units when working at the sectoral level. This usually leads to...

This paper develops an integrated model of the fuel and agricultural sectors to analyze the welfare and greenhouse gas emission (GHG) effects of the existing Renewable Fuel Standard (RFS), a Low Carbon Fuel Standard (LCFS) and a carbon price policy. The conceptual framework shows that these...