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     Advance Journal of Food Science and Technology


An Empirical Study on Evaluation of Marketing Channel Risk in Agricultural Products via PCA and Cluster Analysis

1Yazhou Xiong, 2Shujie Yun, 1Jingyuan Xing, 1Xiaorong Huang and 1Wei Shu
1School of Economics and Management, Hubei Polytechnic University, Huangshi, 435003, China
2Department of Basic, Henan Mechanical and Electrical Engineering College, Xinxiang, 453000, China
Advance Journal of Food Science and Technology  2014  4:552-557
http://dx.doi.org/10.19026/ajfst.6.72  |  © The Author(s) 2014
Received: January 20, 2014  |  Accepted: February 10, 2014  |  Published: April 10, 2014

Abstract

In order to better guard against the marketing channel risk in agriculture products, it is very important that how to conduct a fair and reasonable quantitative evaluation on marketing channel risk. As an important channel by which the enterprises connect the market and consumers, marketing channels play a very important role on the enterprise operation and development. And the development issue of the "agriculture, rural, farmers" has always been one of the most important problems of Chinese government in recent years. The demand of agricultural products in China has been transmitted from the overall shortage to the relative surplus stage, which leads to increasingly fierce competition on marketing of the agricultural products. To make marketing channel operation of the agricultural products enterprise be healthy and effective, it is necessary to carry out effective risk management of marketing channel. This study builds an evaluation index system on marketing channel risk of agricultural products, which includes 2 first-level indicators, 13 second-level indicators. Then the study uses the statistical data, Principal Component Analysis (PCA) and cluster analysis to evaluate and analyze the marketing channel risk of agricultural products. Finally some corresponding measures and suggestions are put forward to strengthen the risk prevention.

Keywords:

Agricultural products, cluster analysis, marketing channel risk, Principal Components Analysis (PCA),


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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