We extend data envelopment analysis (DEA) to decompose the economic efficiency of a sample of ethanol plants into internal (technical and allocative) and boundary (marketing) sources. This decomposition allows us to evaluate the channels through which different plant characteristics affect plant...

In this study we use data envelopment analysis to decompose the overall economicefficiency of a sample of ethanol plants into three subcomponents: technical efficiency, allocative efficiency and a new component we call marketing efficiency. The relative importance of these sources of efficiency...

This study evaluates the environmental efficiency of seven recently constructed ethanol plants in the North Central region of the U.S., using nonparametric data envelopment analysis (DEA). Environmental efficiency is measured and decomposed into its technical and allocative sources. Results show...

Economic viability of the US corn ethanol industry depends on prices, technical and economic efficiency of plants and on continuation of policy support. Public policy support is tied to the environmental efficiency of plants measured as their impact on emissions of greenhouse gases. This study...

In this study we use data envelopment analysis to decompose the overall economic efficiency of a sample of ethanol plants into three subcomponents: technical efficiency, allocative efficiency and a new component we call marketing efficiency. The relative importance of these sources of efficiency...

We extend data envelopment analysis (DEA) to decompose the economic efficiency of a sample of ethanol plants into internal (technical and allocative) and boundary (marketing) sources. This decomposition allows us to evaluate the channels through which different plant characteristics affect plant...