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     Advance Journal of Food Science and Technology


How Business Cycle Volatility Affect Economic Growth in China? -An Empirical Study based on GARCH-M Model using the 1952-2012 Data

Wang Yu
School of Economics, Capital University of Economics and Business, Beijing 100070, China
Advance Journal of Food Science and Technology  2014  7:934-940
http://dx.doi.org/10.19026/ajfst.6.135  |  © The Author(s) 2014
Received: May ‎19, ‎2014  |  Accepted: ‎June ‎16, ‎2014  |  Published: July 10, 2014

Abstract

The considerable divergence in analyzing the relationship between business cycle volatility and economic growth calls for thorough empirical investigations, but according to the relationship between business cycle volatility and economic growth, foreign experience study did not get uniform results and the experience of the domestic research, less likely. This study attempts to make further test by constructing GARCH-M model with Chinese data from 1952 to 2012 and take the method of maximum likelihood to discuss the relationship between business cycle volatility and economic growth. The result, which is significant statistically, shows that business cycle volatility and economic growth in China is negatively correlated. Therefore, business cycle volatility will bring indirect welfare cost to the residents by decreasing economic growth rate. Stabilization policy will both suppress business cycle volatility and increase economic growth rate.

Keywords:

Business cycle volatility, economic growth, GARCH-M model,


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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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