基于因子分析-BP神经网络的河南省生态农业效益评价

摘要笔者运用因子分析法,把影响生态农业综合效益的因素划分为综合能力因子、平衡能力因子和可持续能力因子,以河南省18个省辖市数据指标为样本,构建BP神经网络模型进行模拟检验,依据综合模拟得分对各地市生态农业综合效益进行排名,发现综合能力因子因素对生态农业效益影响最大。因此,应从提高经济产投比、加快农村剩余劳动力转移、提高农民人均纯收入和生态农业综合生产能力等方面着手,积极促进生态农业的发展。

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	王肖芳

关键词：河南省因子分析 BP神经网络生态农业

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.

Keywords： Henan Province Factor Analysis BP(Back Propagation) Neural Network Ecological Agriculture

收稿日期 2015-03-28; 接受日期 2015-07-29;

基金资助:河南省哲学社会科学规划项目(2014BJJ017);河南省教育厅人文社科研究项目(2014-gh-070);河南教育学院重点学科建设项目

作者简介: 王肖芳(1975-),女,河南范县人,副教授,主要从事农业资源与环境、农村资本运营研究。

引用本文:

王肖芳.基于因子分析-BP神经网络的河南省生态农业效益评价[J]. 经济经纬, 2015,4: 37-42

WANG Xiao-fang.Based on Factor Analysis-BP(Back Propagation) Neural NetworkEvaluation Study on Benefit of Ecological Agriculture of Henan province[J] Economic Survey, 2015,V31(4): 37-42

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2015/V31/I4/37