Abstract Using the method of factor analysis, the author generalizes the elements that affect the comprehensive benefit of eco-agriculture into comprehensive ability factor, balance function factor and sustainable ability factor. Afterwards, the author builds a model of BP neural network to stimulate an inspection using index and data of the eighteen cities of Henan province, and then rank their benefit of eco-agriculture according to the scores of comprehensive stimulation. Then there comes the result that comprehensive ability factor would have the most impact on the benefit of eco-agriculture. Therefore, in order to actively promote the development of eco-agriculture, the government should start with increasing the input-output ratio of economy, speeding up the transfer of the rural surplus laborers, making a high per capita net income and comprehensive production ability of eco-agriculture, and so on.
WANG Xiao-Fang. Based on Factor Analysis-BP(Back Propagation) Neural NetworkEvaluation Study on Benefit of Ecological Agriculture of Henan province. Economic Survey, 2015, 31(4): 037.
2015, Vol. 31 
