1Post-Doctoral Associate, Indian Institute of Management Bangalore, Bengaluru, Karnataka, India
2Department of Agricultural Economics, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka, India
3Scientist, ICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
4Scientist, ICAR-IASRI, New Delhi, India
*Corresponding author: sagarmandya@gmail.com
Online published on 6 September, 2018.
Agriculture is highly dependent on rainfall. Any irregularities impact the production and farm income of the rural households. Hence it is important to estimate the impact of rainfall on farm income in order to understand the extent of dependence and responsiveness of agriculture income on climate parameters. Analysis of the time series data on rainfall for the period 1901 to 2015 of Chitradurga district exposed the existence of breaks in the series. Auto-regressive error correction model revealed a significant influence of rainfall received on agricultural GDP of Chitradurga district of central dry zone.
Rainfall, agricultural GDP, Central dry zone, homogeneity tests, auto-regressive error correction model
