The combination of climate information services in the decision-making process of farmers to reduce climate risks: Application of social cognition theory

One of the main instruments of risk management and climate risk reduction in the agricultural sector is the use of climate information services (CIS). Meteorological information can be useful for society by increasing the efficiency of resource consumption and helping to improve decision-making management. However, there is a gap between the production and implementation of weather forecasts, and that is the lack of practical use of weather forecasts in the agricultural decision-making process. In doing so, this research was conducted with the main objective of identifying components influencing the utilize of CIS by farmers in southwest Iran. The research utilized social cognitive theory (SCT) as the underlying framework, employing a survey method and employing Structural Equation Modeling (SEM) for analysis. The research encompassed all farmers residing in Dezful city within the Khuzestan province, located in the southwest of Iran. The results showed that the variables of SCT, namely outcome expectations, perception of others' behavior, self-efficacy, socio-structural, and behavioral intentions are very powerful in identifying factors affecting farmers' use of CIS and can account for 76.4% of the variance of farmers' behavior. Therefore, these research results can provide essential help to authorities to mitigate the negative impacts of climate change on agriculture.