The Effect of Cultivated Area and the Prices of Buying the Rice on Its Production in AL- Qadisiyah Province-Iraq During (1990-2014) by Using VECM

  • Hayder Abbas Drebee College of Agriculture , University of Al-Qadisiyah


The study aims to determine the effect of the cultivated area and the purchase price on the production of rice in the province of Al-Qadissiya - Iraq for the period (1990-2014). Johansen and Juseliusmethod is used to test the co-integration between the variables. Vector Error Correction Model (VECM) is employed to determine the direction of the causality between production and priceof rice, as well as between the production of rice and theĀ  area cultivated in the short and long run. The analysis of the results shows that there is a co-integration among the variables, and the direction of the relationship is a directional move from cultivated area to production of rice, and from price to production of rice in the short and long run. The study recommends to expand the cultivated area along with maintaining the farm and not to converted to other crops, in addition of determining the purchase price of the crop at the beginning of the agricultural season to ensure a good income for farmers in order to motivate them to increase production.


Akaike, H. (1969). Fitting Autoregressive Models for Prediction, Annals of the Institute of Statistical Mathematics, Vol. 21, PP. 243-247.
Bera, A.K. and Jarque .C.M.(1981). An efficient large Sample test for normality of observations and regression residuals, Working paper in Econometrics No 40,Australion National university,Canberra.
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, Vol. 74, PP. 427-431.
Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, Vol. 49, PP. 1057-1072.
Engle, R. F. & Granger, C. W. (1987). Cointegration and Error-Correction Representation, Estimation and Testing. Econometrica, Vol. 55, PP. 251-76.
Enders, W.(1995). Applied Econometric Time Series, John Wiley & Sons, Inc, New York.
Gonzalo,J.(1990). Comparison of five alternative methods of estimating long run equilibrium relationships. Disussion paper, university of California at San Diego.
Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods, Econometrica, Vol. 37, PP.242-38.
Granger, C. W. (1988). Some Recent Development in a Concept of Causality, Journal of Econometrics, Vol. 39, PP. 199-211.
Granger, C.W. & Newbold, P. (1974). Spurious Regression in Econometrics, Journal of Econometrics, Vol. 2, PP. 111-120.
Greene, W. H. (2000). Econometric analysis, 4th Ed, Upper Saddle River, N J: Prentice Hall.
Gujarati, D. (2008). Basic Econometrics. Fourth edition, McGraw-Hill, NY.
Johansen, S. (1988). Statistical Analysis of Cointegration Vectors, Journal of Economics, Dynamics and Control, Vol. 12, PP. 231-54.
Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Interference on Cointegration with Application to the Demand for Money, Oxford Bulletin of Economics and Statistics, Vol. 52, PP.169-210.
Nelson,C.R.,& C.I.Plosser. (1982). Trends and random walks in macroeconomic time series. Some evidence and implications, Journal of Monetary Economics, Vol. 10:pp. 139-162.
MacKinnon, J. G. (1991).Critical Values for Cointegration Tests, in: Robert F. Engle and C. W. J. Granger (eds.), Long-Run Economic Relationships: Readings in Cointegration, Oxford: Oxford University Press,PP. 267-276.
How to Cite
ABBAS DREBEE, Hayder. The Effect of Cultivated Area and the Prices of Buying the Rice on Its Production in AL- Qadisiyah Province-Iraq During (1990-2014) by Using VECM. Al-Qadisiyah Journal For Agriculture Sciences, [S.l.], v. 7, n. 1, p. 102-113, june 2017. ISSN 2077-5822. Available at: <>. Date accessed: 16 dec. 2018.