Research Article | OPEN ACCESS
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
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,
References
- Aghion, P. and G. Saint-Paul, 1998. On the virtue of bad times: an analysis of the interaction between economic fluctuations and productivity growth. Macroecon. Dyn., 2: 322-344.
- Black, F., 1987. Business Cycles and Equilibrium. Blackwell, New York.
-
Bollerslev, T., 1986. Generalized autoregressive conditional heteroskedasticity. J. Econometrics, 31(3): 307-327.
CrossRef
- Bound, J., D.A. Jaeger and R.M. Baker, 1995. Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. J. Am. Stat. Assoc., 90: 443-450.
CrossRef
-
Fountas, S., M. Karanasos and J. Kim, 2002. Inflation and output growth uncertainty and their relationship with inflation and output growth. Econ. Lett., 75: 293-301.
CrossRef
-
Grier, K.B. and G. Tullock, 1989. An empirical analysis of cross-national economic growth, 1951-1980. J. Monetary Econ., 24: 259-276.
CrossRef
- Grier, K.B. and M.J. Perry, 2000. The effects of real and nominal uncertainty on inflation and output growth: Some GARCH-M evidence. J. Appl. Econ., 15: 45-58.
CrossRef
- Grier, K.B., O.T. Henry, N. Olekalns and K. Shields, 2004. The asymmetric effects of uncertainty on inflation and output growth. J. Appl. Econ., 19: 551-565.
CrossRef
-
Kormendi, R.C. and P. Meguire, 1985. Macroeconomic determinants of growth: Cross-country evidence. J. Monetary Econ., 16: 141-163.
CrossRef
- Lee, J., 2010. The link between output growth and volatility: Evidence from a GARCH model with panel data. Econ. Lett., 106:143-145.
CrossRef
- Lucas, R., 1987. Models of Business Cycles. Basil Blackwell, Oxford.
- Martin, P. and C.A. Rogers, 2000. Long-term growth and short-term economic instability. Eur. Econ. Rev., 44: 359-381.
CrossRef
- Narayan, P.K., S. Narayan and S. Russell, 2009. Understanding the inflation-output nexus for China. China Econ. Rev., 20: 82-90.
CrossRef
- Pindyck, R.S., 1991. Irreversibility, uncertainty and investment. J. Econ. Lit., 29: 1110-1148.
-
Rafferty, M., 2005. The effects of expected and unexpected volatility on long-run growth: Evidence from 18 developed economies. South Econ. J., 71: 582-591.
CrossRef
- Ramey, G. and V.A. Ramey, 1991. Technology Commitment and the Cost of Economic Fluctuations. NBER Working Paper No. 3755.
-
Ramey, G. and V.A. Ramey, 1995. Cross-country evidence on the link between volatility and growth. Am. Econ. Rev., 85: 1138-1151.
-
Speight, A., 1999. UK output variability and growth: Some further evidence. Scot. J. Polit. Econ., 46: 175-184.
CrossRef
-
Zarnowitz, V. and G. Moore, 1986. Major Changes in Cyclical Behavior. In: Gordon, R.J. (Ed.), The American Business Cycle: Continuity and Change. University of Chicago Press, Chicago, pp: 519-572.
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 |
|
Information |
|
|
|
Sales & Services |
|
|
|