Determinants of Farmers Adaptation to Climate Change. A Case from Nawalparasi District of Nepal

Jeevan Lamichhane, Durga Bahadur RanaBhat, Ankit Koirala, Dipesh Shrestha

Abstract


A field survey was conducted to study the factor that determines farmers’ decisions to adapt to climate change in Deurali and Agyouli V.D.Cs of Nawalparasi District. Altogether 180 household, 90 from each V.D.C were selected randomly for the study. A logit regression model was employed in the study. However, in order to measure the magnitude of the impact of the explanatory variables on the decision of the farmer to adapt to climate change marginal effects were computed. The study uses a binary dependent variable taking the value 1 if the farmer adapted to climate change and 0 otherwise. A farmer is considered to have adapted to climate change if he/she has employed at least one of the adaptation strategies such as early and late planting, use of drought resistant crops, zero tillage operation, crop diversification, use of mulching and composting of weeds to control water loss and conserving moisture in the field. This current research considers the following as potential factors determining farmers’ decisions to adapt to climate change; economically active members, education of the household head, farm size, annual cash earnings, access to credit, training and extension. Findings reveal that these factors influence farmers’ decisions to adapt to climate change in Nawalparasi District and marginal effects computed showed that per unit increase in these variables increased the probability of practicing different adaptation strategies by 4.3%, 31.4%, 3%, 1.5%, 17%, 66% respectively. The log likelihood was computed to be -43.45. Psuedo. R2 was calculated to be 39%.

Keywords


Climate Change,Adaptation,logit model,probability,farmers

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DOI: https://doi.org/10.24925/turjaf.v4i6.476-480.657

 Creative Commons License
This work is licensed under Creative Commons Attribution 4.0 International License

ISSN: 2148-127X

Turkish JAF Sci.Tech.

Turkish Journal of Agriculture - Food Science and Technology (TURJAF) is indexed in: