International Journal of Agricultural and Applied Sciences (IJAAS)
5thInternational Conference on "Climate Change and Its Impact (CCI 2023)"
International Journal of Agricultural and Applied Sciences, December 2022, 3(2): 65-68
ISSN: 2582-8053
https://doi.org/10.52804/ijaas2022.3212
Research Article
Pattern of market arrivals and prices of soybean in Akola District of Maharashtra, India
Monal P. Takote* and Nishant V. Shende
Department of Agricultural Economics and Statistics, Dr. PDKV, Akola, MH, India
Corresponding author e-mail: monaltakote@gmail.com
(Received: 15/08/2022; Revised: 28/10/2022; Accepted: 13/11/2022)
ABSTRACT
In this study, an attempt has been made to study the pattern of market arrivals and prices of Soybean in the Akola district of Maharashtra. The present study was based on the time series data of monthly prices and the arrival of Soybean collected from major APMC’S of Akola district for the period of 10 years i.e. from 2011 to 2020. The study was carried out by employing econometric tools like ADF test, Johansen’s Multiple Co-integration test, ARCH-GARCH model and Granger Causality test used to study price volatility and co-integration among selected markets. The study reveals that there is an inverse relationship between prices and the arrival of Soybean in the selected market of Akola district. The selected markets for Soybean have long-run equilibrium relationship for the prices of Soybean and there exist co-integration among them. The volatility shocks in the prices of Soybean is quite persistent in the selected markets.
Keywords: Seasonal variation, cyclical variation, ADF test, ARCH-GARCH, Co-integration, price volatility.