Statistical model for measuring the impact of innovation or technology transfer in agriculture

A statistical model is presented for measuring the impact on the process of innovation or technology transfer in agriculture. The possibilities of this model are shown through a case study. From a data base, organized as a matrix with the information from the diagnoses, the methods Principal Components (PC) and Cluster were combined. The inferential statistics is used for the analysis and interpretation of the results. A case study about the measurement of the impact of productive and economical changes occurred during the technology transfer of Biomass Banks of Pennisetum purpureum cv Cuba CT-115 is presented as strategy for the dry season in eight dairy units of Havana province. The results show that the mathematical model allowed assessing the results obtained from the technology transfer. The model allowed determining the elements varying from a unit to another, depending on the different factors of each farm, among which, the introduction level of the biomass bank technology and the productive and economical variables are included.