Analysis of price variation and market integration of ragi in selected markets of Tamil Nadu and Karnataka
Keywords:
Market intelligence, price variation, Tamil NaduAbstract
Agriculture supply is uncertain and this leads to fluctuations in prices. The study investigates the price details, market integration of ragi in selected markets of Tamil Nadu and Karnataka. The time series data of ragi in wholesale prices were collected for 15 years for the time period of 2003-2017. The results from the analysis of price variations, the seasonal indices of ragi are found to be higher in sowing months and the ragi price trend showing more fluctuation, as the consumption pattern of ragi has widened and demand for Ragi is increasing the years. The unit root test revealed that the four wholesale markets except Vellore market were non stationary at 1 per cent level and become stationary after first differencing. In Johansen co-integration procedure there is three co-integration equations at 5 per cent level of significance among the ragi prices. The VECM estimates in short-run Chintamani market price converged into equilibrium within 6 days. The shock observed by the Tumkur market price will be corrected within 10 days. In the long-run Chintamani and Tumkur markets were influenced by their own monthly lagged price and Hosur markets were influenced by Denkanikottai first month lagged prices of the market.
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References
Abbasa, Q. and Foreman-Peck, J. 2007. Human capital and Handbook of Agricultural Economics, 1: 971-1024.
economic growth: Pakistan, 1960-2003: Cardiff Goodwin, B. K. and Schroeder, T. C. 1991. Cointegration tests
Economics Working Papers. and spatial price linkages in regional cattle markets.
Banerjee, A., Dolado, J. J., Galbraith, J. W., and Hendry, D. American Journal of Agricultural Economics, 73(2):
Co-integration, error correction, and the 452-464.
econometric analysis of non-stationary data. OUP Hendry, D. F. and Mizon, G. E. (1990). Evaluating dynamic
Catalogue. econometric models by encompassing the VAR.
Banerjee, A., Dolado, J. J., Hendry, D. F., and Smith, G. W. Hendry, D. F. and Richard, J.-F. (1982). On the formulation of
Exploring equilibrium relationships in empirical models in dynamic econometrics. Journal
econometrics through static models: some Monte of Econometrics, 20(1), 3-33.
Carlo evidence. Oxford Bulletin of Economics and Johansen, S. (1991). Estimation and hypothesis testing of
Statistics, 48(3): 253-277. cointegration vectors in Gaussian vector
Davidson, R. and Mackinnon, J. G. 1993. Estimation and autoregressive models. Econometrica: Journal of the
inference in econometrics. OUPCatalogue. Econometric Society, 1551-1580.
Engle, R. F. and Granger, C. W. 1987. Co-integration and error Johansen, S. and Juselius, K. (1990). Maximum likelihood
correction: representation, estimation, and testing. estimation and inference on cointegrationwith
Econometrica: Journal of the Econometric Society, applications to the demand for money. Oxford Fackler, P. L. and Goodwin, B. K. 2001. Spatial price analysis.
: 251-276. Bulletin of Economics and statistics, 52(2), 169-210.