The Study on the Relationship between Agricultural Product Price Fluctuation and Inflation
- 1 Department of Modern Management, Zhengzhou Technical College, Zhengzhou, China
Abstract
After introducing the inflation expectation, this paper uses the co-integration test and VAR model to analyze the price fluctuation of agricultural products and the paper analyzes the relationship between inflation and inflation expectation. The results show that there is no co-integration relationship between agricultural product price fluctuation, inflation expectation and inflation, but agricultural product price fluctuation is Granger reason of inflation expectation. There is bi-directional Granger causality between inflation expectation and inflation. In the short run, there is volatility between the three in the current or lag phase 1 to reach the maximum.
- Wu, T.Y., Li, H. and Zhang, P. (2006) Statistical Analysis on the Relationship between Food Price and Consumer Price. Mathematics in Practice and Theory, 5, 36-39.
- Liu, X.M. (2008) Study on the Relationship between Grain Price and Consumer Price in China. Journal of Economic Problems, 4, 56-60.
- Guo, Y.J. (2012) Study on the Dynamic Relationship between Agricultural Product Price and Inflation Rate. Price Monthly, 8, 76-79.
- Lu, F. and Peng, K.X. (2002) The Relationship between Food Price and Inflation in China (1987 ~ 1999). Economics, 4, 41-45.
- Wang, Q.Y. (2010) The Rise of Agricultural Product Price Will Not Caused Inflation-Simulation Analysis Based on the Price Model of Input-output Method. Economic Forum, 7, 23-26.
- Engle, R.F. and Granger, C.W.J. (2004) Co-integration and Error Correction: Representation, Estimation and Testing. Econometrics, 59, 1259-1294.
- Johnson, D.C.Z. and Song, G.Q. (1999) Inflation and the Real Price of Grain in China. In: Findlay, C. and Watson, A., Eds, Food Security and Economic Reform: The Challenges Facing China’s Grain Marketing System, Macmillan press, London, 112-115. https://doi.org/10.1057/9780230390119_9
- Yao, F.C. (2008) Bayesian Approach for ARMA Process and Its Application. International Business Research, 5, 33-35.