Abstract:  In the present study， DEA intersection model was selected to evaluate cultivated land use efficiency based on social and economic data collected from the statistical yearbook， and the evaluation results were clustered with Kohonen neural network to analyze spatial distribution features of cultivated land use efficiency in Henan Province. It was shown that the DEA cross efficiency evaluation model could avoid spurious effective decision making units， and the evaluation value was relatively low， which indicated that the evaluation result was objective， accurate， and able to avoid the subjectivity of man\|made classification index weight. The increasing input level could promote the utilization efficiency of farmland， while the influence of utilization degree on cultivated land use efficiency was minor. The cultivated land use efficiency in Nanyang， Shangqiu， Puyang， Sanmenxia， Xuchang， Xinxiang， was relatively high and stable. Cluster analysis exhibited obvious regional differences in spatial distribution of cultivated land use efficiency in Henan Province. The cultivated land use efficiency in the northwest plain area was high， while the cultivated land use efficiency in the eastern and southern regions was relatively low.

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