Abstract:
Social networks are an essential source of risk-sharing and capacity building strategies for 
responding the adverse effects of climate change. However, researches on climate change
adaptation strategies not recognized the role of social networks. The current study aims to assess 
the role of social networks in facilitating smallholder farmers’ adaptation strategies to climate 
change in Woreilu district, South Wollo zone, Amhara national regional state, Ethiopia. More 
specifically, the study aims to (i) identify farmer’s perception to climate change and its effect, (ii)
identify the major adaptation practices used by farmers, (iii) evaluate farmers’ social network 
characteristics associated with accessing resources and (iv identify factors that influence farmers’ 
adaptation strategies. The study employed mixed approach. Both quantitative and qualitative data 
were collected for the study. Quantitative data were collected from 261 sampled households using
structured questionnaire. Qualitative data were also collected using FGD, KII and observation.
Relevant secondary data were obtained from WDADO, CSA, journals and published and 
unpublished reviews. Quantitative data were analyzed using descriptive statistics to describe 
farmer’s perception of climate change, adaptation strategies and social network characteristics. 
Multivariate probit model was used to analyze the determinants of households’ adaptation 
strategies to climate change. Qualitative data was analyzed using thematic analysis. The data were 
organized based on the major themes. The maior themes were perception, adaptation, and social 
networks. The result indicated that the majority of households were perceive increase in 
temperature and the decrease in rainfall. The study found out that there are three major adaptation 
strategies: crop diversification, irrigation and soil and water conservation with their likelihood of 
being adopted 87%, 35%, and 68% respectively. It also showed that the joint probability of using 
all adaptation strategies was approximately 30% and the joint probability of failure to adopt all 
of the adaptation strategies was 11%. Large network size, having more kins and relatives and 
more close-living members in network has an important role on climate change adaptation. The 
model point out that sex of household head, age of household head, education of the household 
head, access to extension service, farm size, livestock holding, distance to the nearest market, 
access to climate information, agro ecological zone, social network size and network proximity 
has a significant impact on farmer’s adaptation strategies. Based on the result of the study, the 
researcher concluded that social network characteristics were important variables for access to 
resource in the process of climate change which in turn promote adaptive capacity of farmers.
Consequently, the future policy focus should target fostering farmers to extending their social 
networks among members which is a useful activity to facilitate adaptation to climate change