Agricultural Economics Research Review

  • Year: 2015
  • Volume: 28
  • Issue: conf

Resilience Measuring, Predicting and Building Instrument to Prevent Farmers’ Suicide in National Calamity-hit Region of India

  • Author:
  • S.P. Lal, K. Ponnusamy, H.R. Meena, K.S. Kadian
  • Total Page Count: 1
  • DOI:
  • Page Number: 303 to 303

ICAR-National Dairy Research Institute, Karnal-132 001, Haryana

Abstract

This paper has investigated ‘traumatized farmers’ of the Kosi flood that occurred way back on 18 August, 2008. For study 160 respondents were randomly selected from the “National Calamity” affected area of India, and these were later categorized as 116 non-resilient and 44 resilient respondents based on the scale value of resilience in relation to farmers’ life scale (RFL-Scale) developed for the study. The study has used binary logistic model to identify the factors which influenced the ‘resiliency level’ of the respondents. Initially 25 predictive variables were taken but the final model was fitted with 8 factors. The Wald statistics were found significant at 1 per cent level for the explanatory variables like ‘award and alternative skill’, while variables like ‘innovativeness’ and ‘spiritual’ faith were significant at 5 per cent level; ‘saving habit’ and ‘migration’ were significant at 10 per cent level, whereas, ‘experience’ and ‘education’ did not have a significant influence even at 10 per cent level. Based on the outcome of the binary logistic model, a conceptual model has been suggested for measuring and building resilience among the distressed farmers. The conceptual model if implemented religiously may uplift farmers’ mental health and avert suicidal tendencies, which will eventually promote sustainable growth and prevent socio, cultural and economic losses of the nation.

Keywords

Farmers’ suicide, binary logistic model, resilience, adaptation strategies, Kosi