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PENG Tieguang, XIONG Xi. Study on Accurate Assessment of Output Efficiency of E-commerce Platform for Agricultural Products Based on PCA and DEA Model[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY（Natural Science）, 2016, 31(3): 551-555. DOI: 10.16211/j.issn.1004-390X(n).2016.03.024
Citation: PENG Tieguang, XIONG Xi. Study on Accurate Assessment of Output Efficiency of E-commerce Platform for Agricultural Products Based on PCA and DEA Model[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY（Natural Science）, 2016, 31(3): 551-555. DOI: 10.16211/j.issn.1004-390X(n).2016.03.024
shu

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

  • 1.

    Hunan International Business Vocational College, Changsha 410015, China

  • 2.

    Central South University of Forestry and Technology, Changsha 410004, China

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  • Received Date: January 05, 2016
  • Revised Date: February 26, 2016
  • Published Date: May 29, 2016
    Graphical Abstract
    • Abstract
  • 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.
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    • References (8)
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