International Research Journal of Agricultural Economics and Statistics

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Price Movements of Redgram Major Markets in India by using Cointegration Analysis


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1 Department of Agricultural Economics (A.M.I.C.), College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), India
     

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The main objective of the study is to assess cointegration of major redgram markets and price movement in major markets in India using important econometric tools like Augmented dickey-fuller (ADF), Johansen’s cointegration test, granger causality test and vector error correction model (VECM). The results of the study indicated that in the long-run there was a two direction relationship between market prices. There is bidirectional causality affected on redgram prices redgram prices of Mumbai – Indore and Mumbai –Amravati. There is unidirectional causality affected on redgram prices of Amravati –Vijayawada, Gulbarga – Tandur, Gulbarga –Vijayawada, Indore -Vijayawada, Mumbai –Vijayawada. Results of vector error correction model (VECM) showed Mumbai market one month lag price is affecting current prices of Gulbarga market. Amravati market one month lag price is affecting current prices of Vijayawada market. Tandur market two months lag price is affecting current prices of Gulbarga and Amravati markets.

Keywords

Price Movements, Redgram Major Markets, using Cointegration Analysis.
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  • Adämmer, P. and Bohl, T.M. (2015). Speculative bubbles in agricultural prices. Quarterly Rev. Econ. & Finance, 55: 67–76.

  • Afolami, C. A. (2001). Market integration and inter-temporal pricing efficiency for cowpeas in Nigeria. ASSET - Series A: Agric. & Environ., 1 (2): 171.

  • Awal, M. A., Sabur, S. A. and Mia, M. I. A. (2009). Spatial price integration and pricing efficiency of export markets level: a case of Bangladeshi exportable fresh vegetables markets. Bangladesh J. Agric. Econ., 22 (1): 1-16.

  • Campiche, J.L., Bryant, H.L., Richardson, J.W. and Outlaw, J.L. (2007). Examining the evolving correspondence between petroleum prices and agricultural commodity prices. The American Agricultural Economics Association Annual Meeting, Portland, OR. July 29-August 1, 2007.

  • Engle, R.F. and Granger, C.W.J. (1987). Cointegration and error correction: Representation, Estimation and Testing, Econometrica, 55 : 251-276.

  • Esposti, R. and Listorti, G. (2013). Agricultural price transmission across space and commodities during price bubbles, Agric. Econ., 44: 125–139.

  • Goletti, F. and Babu, S. (1994). Market liberalization and integration of maize markets in Malawi. Agric. Econ., 11: 311.

  • Granger, C.W.J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37 (2) : 424-438.

  • Harri, A., Nalley, L. and Hudson, D. (2009) The relationship between oil, exchange rates and commodity prices, J. Agric. & Appl. Econ., 41 : 501–510.

  • Johansen, S. (1988). Statistical analysis of cointegration vectors, J. Econ. Dynamics & Control, 12(2-3): 231-254.

  • Johansen, S. and Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with application to the demand for money. Oxford Bulletin Economics & Statistics, 52(3): 169-209.

  • Nazlioglu, S. and Soytas, S. (2012). Oil price, agricultural commodity prices and the dollar: A Panel Cointegration &Causality Analysis, 34 : 1098–1104.

  • Zhang, Z., Lohr, L., Escalante, C. and Wetzstein, M. (2010). Food versus fuel: What do prices tell us? Energy Policy, 38 : 445–451.

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  • Price Movements of Redgram Major Markets in India by using Cointegration Analysis

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Authors

R. Vijaya Kumari
Department of Agricultural Economics (A.M.I.C.), College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), India
Gundu Ramakrishna
Department of Agricultural Economics (A.M.I.C.), College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), India
Panasa Venkatesh
Department of Agricultural Economics (A.M.I.C.), College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), India
Akula Sreenivas
Department of Agricultural Economics (A.M.I.C.), College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad (Telangana), India

Abstract


The main objective of the study is to assess cointegration of major redgram markets and price movement in major markets in India using important econometric tools like Augmented dickey-fuller (ADF), Johansen’s cointegration test, granger causality test and vector error correction model (VECM). The results of the study indicated that in the long-run there was a two direction relationship between market prices. There is bidirectional causality affected on redgram prices redgram prices of Mumbai – Indore and Mumbai –Amravati. There is unidirectional causality affected on redgram prices of Amravati –Vijayawada, Gulbarga – Tandur, Gulbarga –Vijayawada, Indore -Vijayawada, Mumbai –Vijayawada. Results of vector error correction model (VECM) showed Mumbai market one month lag price is affecting current prices of Gulbarga market. Amravati market one month lag price is affecting current prices of Vijayawada market. Tandur market two months lag price is affecting current prices of Gulbarga and Amravati markets.

Keywords


Price Movements, Redgram Major Markets, using Cointegration Analysis.

References