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Abstract
Productivity indices were calculated for rice farms across New South Wales
using data envelopment analysis (DEA) techniques. These revealed distinct
geographic patterns. Preliminary work showed these geographic patterns
were consistent with differences in resource quality, including depth from
watertables, soil types and salinity levels. If differences in measured
productivity are influenced by the quality of land and water resources used to
produce rice, isolating this influence may provide a way of quantifying the
costs associated with resource quality issues such as rising groundwater tables
and soil salinity.