How collective efficacy makes a difference in responses to water shortage due to climate change in southwest Iran

Climate change impacts the water sector in a manner that reduces the harvest and income of farmers, thereby exacerbating poverty and many other social problems. However, through adaptation measures, farmers can manage climate change impacts and thus reduce their vulnerability. To design effective public adaptation strategies, it is crucial to understand farmers' behaviors at the farm level in response to water shortage due to climate change. Thus, the aim of this research is to accrue empirical evidence about farmers' perceptions of and responses to water shortage due to climate change, using the Protection Motivation Theory. To increase the predictive power of the model, this paper added the collective efficacy variable to the model. The population of interest consisted of farmers from Shushtar, a county in Khuzestan Province, southwestern Iran. A total of 251 farmers were selected using a multi-stage, clustered, random sampling method. The results of structural equation modeling revealed that model variables accounted for 39 % of variance in farmers' adaptation behaviors. The inclusion of collective efficacy in the original model increased its predictive power and produced a model of a better fit; the proportion of variance accounted for an increase of about 11 %. These findings are expected to yield recommendations for public policy, as well as agricultural extension and education recommendations for stimulating successful adaptation behaviors among Iranian farmers.