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     Advance Journal of Food Science and Technology


Empirical Research of Local Food Industry Expenditure and Regional Food Economic Growth Based Grey Relational Degree Analysis

Du Jun-Juan
Anhui Xinhua University, Hefei, Anhui 230088, China
Advance Journal of Food Science and Technology  2016  11:861-864
http://dx.doi.org/10.19026/ajfst.10.2276  |  © The Author(s) 2016
Received: July ‎2, ‎2015  |  Accepted: August ‎2, ‎2015  |  Published: April 15, 2016

Abstract

In order to promote the development of food economics, the grey relational degree analysis is applied in the relationship analysis between the local food industry expenditure and regional food economic growth. Firstly, the real situation of Chinese food industry economic growth is analyzed. Secondly, the theory model of relational analysis between local food industry expenditure and regional food economic growth is established and the algorithm procedure is designed. Thirdly, the analysis varities are defined based on the analysis requirement, finally the relational analysis is carried out and results show that the grey relational degree analysis is an effective method for carrying out the relational analysis for local food industry expenditure and regional food economic growth.

Keywords:

Empirical research, grey relational degree analysis, localfood industry, regional food economic growth,


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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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