DEMAND PROJECTIONS FOR FOODGRAINS IN KARNATAKA-VISION 2020, INDIA

LAKSHM NARSIMHAIAH¹*, H. CHANDRASHEKAR², D.V. RAGHAVENDRA³, L.K. ADARSHA⁴, G. SATHISH⁵, Y. SATHISH^6
1Department of Agril. Statistics, Bidhan Chandra Krishi Vishwavidyalaya, Mohanpur, Nadia, West Bengal, 741252, India
²Coordinator, Project Planning and Monitoring Cell, University of Agricultural Sciences, Bangalore, Karnataka, 560065, India
³Department of Agril. Economics, University of Agricultural Sciences, Raichur, Karnataka, 584104, India
⁴Department of Agril. Economics, Bidhan Chandra Krishi Vishwavidyalaya, Mohanpur, Nadia, West Bengal, 741252, India
⁵Department of Agril. Statistics, Bidhan Chandra Krishi Vishwavidyalaya, Mohanpur, Nadia, West Bengal, 741252, India
⁶Department of Agril. Statistics, BHU, Varanasi, Uttar Pradesh, 221005, India
* Corresponding Author : lakshmi.narasimhaiah1988@gmail.com

Received : 08-01-2016     Accepted : 19-01-2016     Published : 30-01-2016
Volume : 8     Issue : 2       Pages : 968 - 972
Int J Agr Sci 8.2 (2016):968-972

Keywords : Demand, Food grains, Projection, Engel curves
Academic Editor : Javier Garcia-enriquez
Conflict of Interest : None declared
Acknowledgements/Funding : None declared
Author Contribution : None declared

The issue of food security is debated world over with increase in population and it has become important agenda in many of the international forums. Karnataka is one among the highly populated states of India on which the present study focused upon projecting the demand for major food grains (cereals and pulses) up to year 2020, by making use of district level cross-section data of 64th round consumer expenditure survey which is published by National Sample Survey Organization (NSSO) during 2007-08 which facilitated to capture the regional variation in composition of food basket. The demand estimates are derived based on growth of population, per capita income and income elasticity of demand. Engel curves like Log–inverse, Double–log, Log-log–inverse, Linear, Quadratic and Semi-log models were used for computing expenditure elasticities. The estimate of demand with respect to rice, wheat, jowar, ragi, gram, and tur by the end of 2016 found to be 42.9, 11.1, 7.2, 6.6, 0.46 and 5.3 lakh tons respectively and by the end of 2020 it was found to be 57.4, 14.2, 6.1, 6.8, 0.50 and 7.2 lakh tons respectively. These results may help policy makers of the state to narrow down the supply-demand gap of food grains under consideration.