Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


Green Food Industry and Quality of Economic Growth in China: The Positive Analysis Based on Granger Causality Test and Variance Decomposition

Changtao Qiao, Rui Xiao and Lidong Yan
School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, P.R. China
Advance Journal of Food Science and Technology  2013  8:1059-1063
http://dx.doi.org/10.19026/ajfst.5.3205  |  © The Author(s) 2013
Received: April 11, 2013  |  Accepted: May 08, 2013  |  Published: August 05, 2013

Abstract

In order to test the impacts of the green industry transformation on the economic development, the article analyzes the relationship between the green food industry development and quality of economic growth, based on the Granger causality test and variance decomposition, using the data from 1996 to 2010 in China. The results show that: in the long run, the relationships between domestic sales, exports and real outputs of the green food industry and the quality of economic growth are stably positive correlation. In the causal relationship term, the relationship between domestic sales, exports and the quality of economic growth shows a positive one-way causal relationship; the relationship between real outputs and the quality of economic growth shows a slight two-way causal relationship. Through variance decomposition analyzing, the results suggest that the promotion effects of domestic sales, exports and real outputs of the green food industry on the quality of economic growth exist a certain differences. In the end, the results are deeply analyzed and discussed.

Keywords:

Green food industry, granger causality test, quality of economic growth, variance decomposition,


References


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
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved