PCA helped with generation of the weights, based on the assumption that there are
common factors that explain the variance in the vulnerability. Varimax rotation was
performed on the results of the PCA to maximize the variance accounted by the first
component. Only components with Eigen values >1 were included in the analysis.
Table 3 (continued)
No. Indicators
Rationality
5
No. of tractors/1000 ha area sown
More tractors for agricultural activities
(mechanization), increase the efficiency in
production
6
% fallow land as proportion of total
graphical area (3 years average)
Higher fallow land means more non utilization of
resources
7
No. of agricultural cooperative
credit societies/lakh population
It is a grass roots financial institution and provides
credit to farmers in times of need, securing crop
production
Above indicators have been selected based on consultation with experts, and studies reported
(Hiremath and Shiyani 2013; Khan and Salman 2012; Swain and Swain 2011; ICRISAT 2009)
Fig. 14 Framework of assessment of vulnerability
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K.V. Raju et al.