基于PCA和DEA方法的农产品电商作物基地产出效率精准评估研究

Study on Accurate Assessment of Output Efficiency of E-commerce Platform for Agricultural Products Based on PCA and DEA Model

为提高农产品电商作物基地产出效率,更好地服务农产品电商对作物基地做出科学决策,本研究基于成本费用的视角,从农产品电商作物基地投入与产出角度选择了一些具体的评估指标,利用PCA和DEA方法相结合建立评估农产品电商作物基地产出效率的模型。通过对长沙强野农业科技有限公司等几家农产品电商企业的作物基地进行跟踪评估,研究表明,该方法能准确、快速地评估农产品电商作物基地产出效率,可应用于农产品电商作物基地产出效率精准评估当中,提高了对农产品电商作物基地生产决策的精确度,可以广泛应用于其他农产品电商对作物基地科学地选择所种植作物,从而提高其盈利能力。

In order to improve the output efficiency of e-commerce platform for agricultural products, and help the e-commerce of agricultural products industry to make better scientific decisions in products platform, we selected some specific evaluation index in view of the input and output of e-commerce platform for agricultural products based on cost, and built a model for assessing the output efficiency of e-commerce platform for agricultural products with the use of a combination of PCA and DEA model. Through tracking assessment of the products platform of several e-commerce of agricultural products industries, including Changsha Qiangye Agricultural Science and Technology Co. , Ltd. , it was found that this model could assess the output efficiency of e-commerce platform for agricultural products accurately and quickly. Therefore, it can be applied to the accurate assessment of output efficiency of e-commerce platform for agricultural products, thus improving the accuracy of making electricity crop production decisions for e-commerce platforms. Meanwhile, it can also be widely applied to the scientific selection of the crops for other e-commerce platform for agricultural products, thus improving their profitability.