Purpose – To select the best strategies in the presence of both deterministic and non‐deterministic data in uncertain environments, without relying on weight assignment by decision makers, this paper aims to propose an innovative approach, which is based on mathematical programming called...

Mathematical programming is used to examine the economic potential of greenhouse gas mitigation strategies in U.S. agriculture and forestry. Mitigation practices are entered into a spatially differentiated sector model and are jointly assessed with conventional agricultural production....

Selection and execution of site decontamination projects is often best left to local authorities, in accordance with the subsidiarity principle, even though the budget for such projects is made available through a central authority. In this paper we suggest a practical budget allocation policy...

Soil carbon can be sequestered through different land management options depending on the soil carbon status at the beginning of a management period. This initial status results from a given soil management history in a given soil climate regime. Similarly, the prediction of future carbon...

Energy from the biomass of perennial crops can offset emissions of greenhouse gases from fossil fuel combustion and increase energy self sufficiency. This study uses a dynamic, multi-farm, mathematical programming model to analyze the impact of the Common Agricultural Policy reform in 2003 on...

Policies to mitigate greenhouse gas emissions are likely to increase energy prices. Higher energy prices raise farmer costs for diesel and other fuels, irrigation water, farm chemicals, and grain drying. Simultaneously, renewable energy options become more attractive to agricultural producers....

Mathematical programming results revealed that moving toward more flexible agricultural policies would generate substantial economic and environmental gains in a North Carolina diversified cropping region. But in a Washington-Idaho dryland grains region, only the use of relatively new and...

Farmers and taxpayers would benefit from more cost-effective agricultural nutrient pollution control measures. The objectives of our study are (1) to assess compliance costs and reductions in phosphorus loadings from implementation of nutrient management and riparian buffers; and (2) to estimate...