Investigating the Elasticity of Supply and Demand for Rice Export in Iran
Author Affiliations
- 1 Department of Economic, Qaemshahr Branch, Islamic Azad University, Qaemshahr, IRAN
Res. J. Recent Sci., Volume 1, Issue (10), Pages 12-18, October,2 (2012)
Abstract
This article estimates the major determinants of supply and demand for Rice Export in Iran. This study uses annual time series data (1989-2006) and unit root tests and analyze them using Auto Regressive Distributed Lag (ARDL) model by Pesaran et al. (2001). This co-integration technique accommodates potential structural breaks that could undermine the existence of a long-run and significant relationship between supply and demand for Rice Exportand its main determinants. Error correction coefficient is negative and small and is equal to – 0.54 and it shows that if there is any shock or imbalance in total production, the system will be back to stability after a 3-year period. Together the independent variables explained 91% of the variance in the dependent variables. The remaining 9% was due to unidentified variables. In relation to that, we can conclude that explanatory power is high for the equation.
References
- Schuh G.E., Exchange Rates and U.S. Agriculture, American Journal of Agricultural Economics, 6(1), 1-13 (1974)
- Vellianitis-Fidas A., The Exchange Rate and U.S. Agriculture: Comment, American Journal of AgriculturalEconomics, 57(4), 692-695 (1975)
- Kost W.E., The Effect of an Exchange Rate Change on Commodity Trade, paper presented at annual AAEA meeting, Columbus, Ohio, (1975)
- Greenes T., The Exchange Rate and U.S. Agriculture: Comment, American Journal of Agricultural Economics,57(1), 134-135 (1975)
- Goldstein M. and Khan M.S., The supply and demand for exports: a simultaneous approach, The Review of Economicsand Statistics, 60(2), 275-286 (1978)
- Pesaran H.M., Shin Y. and Smith J.R., Bounds testing approaches to the analysis of relationships, Journal of Applied Econometrics, 16(1), 289–326 (2001)
- Farris P.L., Export supply and demand for U.S. Cattle hides, American Journal of Agricultural Economics, 53643-646 (1971)
- Arnade C. and Vasavada V., Causality between productivity and export in agriculture: evidence from Asia and Latin America, Agr. Eco., 46(2), 174-186 (1995)
- PAL S., Agricultural exports in India: issue of growth and instability, Indian Journal of Agricultural Economics, 47(2)185–194 (1992)
- Perron P., The great crash, the oil price shock and the unit root hypothesis, Econometrica57(6), 1361-1401 (1989)
- Narayan P.K., The saving and investment nexus for China: evidence from co-integration tests., Applied Economics, 37(17), 1979–1990 (2005)
- Pesaran M.H. and Shin Y., An Autoregressive Distributed Lag Modelling Approach to Co-integration Analysis, in: Strom, S., and P. Diamond (eds.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, Chapter 11, Cambridge, Cambridge University Press, (1999)
- Mangang P.N., Health Beliefs and Perception of Wellbeing among the Lois of Thanga in Manipur, India, Research Journal of Recent Sciences,1(4), 46-52 (2012)
- Nwajei G.E., Okwagi P., Nwajei R.I. and Obi-Iyeke G.E., Analytical Assessment of Trace Elements in Soils, Tomato Leaves and Fruits in the Vicinity of Paint Industry, Nigeria, Research Journal of Recent Sciences,1(4), 22-26 (2012)
- Amanchi N.R. and Mohd M.H.,Ecophysiological and cytopathological impact of delfin insecticide (Bacillus thuringiensis) to a unicellular ciliate protozoan, Euplotes patella, Research Journal of Recent Sciences,1(4), 64-67 (2012)
- Antony R.A., Azimuthal Square Array Resistivity Method and Goundwater Exploration in Sanganoor, Coimbatore District, Tamilnadu, India, Research Journal of Recent Sciences,1(4), 41-45 (2012)
- Zandi Y. and Akpinar M., An Experimental Study on Separately Ground and together Grinding Portland Slag Cements Strength Properties, Research Journal of Recent Sciences,1(4), 27-40 (2012)