R. PARVATHI DEVI1*, I. BHAVANI DEVI2, B. APARNA3, G. MOHAN NAIDU4, S.V. PRASAD5
1Department of Agricultural Economics, S.V. Agricultaral College, Tirupati, ANGRAU, Andhra Pradesh, India
2Department of Agricultural Economics, S.V. Agricultaral College, Tirupati, ANGRAU, Andhra Pradesh, India
3Department of Agricultural Economics, S.V. Agricultaral College, Tirupati, ANGRAU, Andhra Pradesh, India
4Department of Agricultural Economics, S.V. Agricultaral College, Tirupati, ANGRAU, Andhra Pradesh, India
5Department of Agricultural Economics, S.V. Agricultaral College, Tirupati, ANGRAU, Andhra Pradesh, India
* Corresponding Author : parvathi.samrat@gmail.com
Received : 14-07-2015 Accepted : 18-05-2016 Published : 09-09-2016
Volume : 8 Issue : 34 Pages : 1715 - 1718
Int J Agr Sci 8.34 (2016):1715-1718
Keywords : Groundnut, Co-integration, Granger causality, Vector error correction model
Academic Editor : Zlatko Nedic, Siddayya, A. Ashok Kumar, Padodara R.J., Ghadi Saed Farajnejad
Conflict of Interest : None declared
Acknowledgements/Funding : None declared
Author Contribution : None declared
Groundnut (Arachis hypogea L.) is the fifth largest oilseed crop after soybean, rapeseed, cotton and sunflower in the world, which account for 7.3 per cent of the total world oilseed production (www.soystats.com). Augmented Dickey Fuller test, Johansen’s Multiple Co-integration analysis, Vector Error Correction Model and Granger causality tests were employed in this study. The results indicated that the selected groundnut markets were integrated and prices in Kurnool market and Yemmiganur market exhibited a bidirectional influence at five per cent level of significance, whereas unidirectional influence was exhibited by Gondal market on Kurnool and Yemmiganur markets. The results of the test pointed out that Gondal market was the lead market.