Abstract

 

 

Accepted 5th June, 2017

 

Climate change is set to hit the agricultural sector the most and cause untold suffering particularly for smallholder farmers. The study investigated the factors influencing the choice of adaptation methods to climate change. Farm level data were collected randomly from 100 households of Arukharka and Bhatkhola VDCs (50 respondents from each VDC) in Syangja district of Nepal. Data was collected using semi-structured questionnaires and focus group discussions (FGDs). A logit regression model was employed in the study to access the result. The study used a binary dependent variable taking the value 1 if the farmer adapted to climate change and 0 otherwise.Training (P<0.01), livestock holding unit (P<0.05), family type (P<0.05) economically active member (P<0.01) and farm size (P<0.05), were the determinants of respondents decision to adapt adaptation measures. The study showed that training, livestock holding unit and family type were positively significant whereas farm size and economically active member were negatively significant to climate change adaptation. Logit regression analysis indicated the good explanatory power of model with overall predictive power of model as 64.0235% at 1% level with pseudo R2 value 0.2517.Agricultural policies should promote farmer to farmer extension services to support farmers to adapt to climate change.

 

 Keywords: Climate change, Adaptation, Logit, Variable, Nepal