Determining the Factors Affecting the Climate-Friendly Innovative Technology Usage Levels of Sheep Farms

Abstract

Climate-friendly smart agriculture (CSA) describes a set of interventions aimed at sustainably increasing productivity and reducing greenhouse gas emissions from agriculture. The aim of this study was to calculate the climate-friendly innovative technology usage indexes of sheep farms in Konya and to determine the affecting factors. Neyman allocation sampling method was used to determine the 151 sheep farms. As a result of the study, it has been determined that 5.96% of the enterprises are low level, 87.42% medium level and 6.62% high level climate-friendly innovative technology users. The general average of Climate-Friendly Innovative Technology Usage Index (CFITU) of the sheep farms is 52.88% and they are medium level climatefriendly innovative technology users. Ordinal logistic regression analysis was conducted to determine the factors influencing the level of CFITU in sheep farms. The results showed that the dependent variable was explained by 7 independent variables with a percentage of 32.5%. Providing education and financial support to farmers in the region regarding climate change perception and technology usage will enhance the level of CFITU in enterprises.