Price Forecasting of Mango in Varanasi Market of Uttar Pradesh
Ravishankar Pardhi1, Rakesh Singh2, Ranjit Kumar Paul3
1ICAR - Directorate of Weed Research, Jabalpur (MP), India.
2Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
3ICAR - Indian Agricultural Statistics Research Institute, New Delhi, India.
Corresponding Author Email: ravishankar1661@gmail.com
DOI : http://dx.doi.org/10.12944/CARJ.6.2.12
Article Publishing History
Received: 5-09- 2017
Accepted: 20-05-2018
Published Online: 30-06-2018
Review Details
Reviewed by:
Dr. Prosper Wie (Ghana)
Final Approval by:
Dr. Dawn C. P. Ambrose
Abstract:
The study had been made to forecast the price of mango using ARIMA model in one of the major markets of Uttar Pradesh as the state ranks first position in production of mango in India. Varanasi market was selected purposively on the basis of second highest arrival market of mango in the state. Using ARIMA methodology on the monthly prices of mango collected from the Agricultural Produce Market Committee (APMC), Varanasi for the year 1993 to 2015. As the mango fruit having property of alternate bearing, only six month data from March to August was available in the market and accordingly had been used for forecasting analysis using E-views 7 software. The results revealed that the price in selected market was found to be highest during the start of the season using ARIMA (1,0,6) model, confirming the validity of model through Mean Absolute Percentage Error (MAPE). The MAPE was found to be less than 10 per cent for one step ahead forecast of year 2015. Forecasted price for the month of March was almost double than the price of other months. It indicates the necessity of adopting pre and post harvest management technologies for getting the benefit over increase in prices.
Keywords:
ARIMA; Forecasting; Mango; Price; Uttar Pradesh.
Copy the following to cite this article: Pardhi R, Singh R, Paul R. K. Price Forecasting of Mango in Varanasi Market of Uttar Pradesh. Curr Agri Res 2018;6(2). doi : http://dx.doi.org/10.12944/CARJ.6.2.12 |
Copy the following to cite this URL: Pardhi R, Singh R, Paul R. K. Price Forecasting of Mango in Varanasi Market of Uttar Pradesh. Curr Agri Res 2018;6(2). Available from: http://www.agriculturejournal.org/?p=3986 |
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