2024, Vol. 7, Special Issue 9

author(s)
Halagundegowda GR, Abhishek Singh, Nagaraja MS and Muttanna

abstract
Coping mechanisms adopted by the farming community has recently become a subject of increasing importance in climate change research with an objective to reduce the vulnerability of climate sensitive activity. The present study was designed to develop the classificatory statistical model to catalogue the farmers into adopters and non-adopters. Further, the study also aims to identify the determinants of coping mechanisms adopted by the farmers to mitigate the impact of drought on their farming activity in Kolar district of Karnataka. The qualitative response models such as binary logistic regression analysis was carried out by considering the various socio-economic characteristics of farmers as predictors and adoption behavior of the farmers as response variable. The result illustrates that the predictors like age, education, farm size, extension visits, crop diversification, income status, liquid assets and crop insurance were statistically significant at 5% level of significance. The variables such as education (0.54), farm size (0.60), extension visits (1.71), crop diversification (1.96), income status (0.0015), liquid assets (0.0013) and crop insurance (0.0018) are positively influencing on adoption of drought coping mechanisms. Whereas the variable like age (-0.39) negatively influencing on adoption behavior of farmers.