Multivariate Analysis of Clean Technologies in Agricultural and Livestock Companies in Castilla y León

Abstract

Through multivariate data analysis, this research aims to study the current commitment of agricultural and livestock companies in Castilla y León to the mitigation of their negative environmental impacts and whether it is conditioned by their resources and capabilities, through the implementation of clean technologies. Agricultural and livestock production is vital for the subsistence of the world’s population, but the productive activities of this sector can have unfavorable consequences on the environment. These business projects are designed to mitigate the negative impacts on three essential environmental elements: air, freshwater and ecosystems (fauna and flora). The results were derived via the External Logistics Biplot methodology, whose purpose is to determine the influence of various factors or variables on a result, and which shows that 63% of the companies analyzed have invested in technological systems to optimize water use, 40% have invested in technologies and systems to avoid and control carbon dioxide (CO2) and Greenhouse Gases (GHG) emissions, and 24% of companies have implemented technologies for recycling and reusing waste, showing a hierarchical preference in mitigating risks related to freshwater scarcity, emitting polluting emissions into the air and the conservation of ecosystems.