Exploring Sustainability and Efficiency of Production Models in the Spanish Beef Cattle Industry through External Logistic Biplot

María Anciones-Polo (), Miguel Rodríguez-Rosa (), Araceli Queiruga-Dios and Purificación Vicente-Galindo
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María Anciones-Polo: Department of Statistics, Faculty of Medicine, Universidad de Salamanca, Calle Alfonso X El Sabio, s/n, 37007 Salamanca, Spain
Miguel Rodríguez-Rosa: Department of Statistics, Faculty of Medicine, Universidad de Salamanca, Calle Alfonso X El Sabio, s/n, 37007 Salamanca, Spain
Araceli Queiruga-Dios: Department of Applied Mathematics, Higher Technical School of Industrial Engineering, Universidad de Salamanca, 37700 Bejar, Spain
Purificación Vicente-Galindo: Department of Statistics, Faculty of Medicine, Universidad de Salamanca, Calle Alfonso X El Sabio, s/n, 37007 Salamanca, Spain

Mathematics, 2024, vol. 12, issue 13, 1-15

Abstract: Livestock farming, especially the beef cattle sector, plays a crucial role in the economy and social and environmental balance and occupies a prominent position in Spain. The aim of this study is to highlight the positive impact of this sector in socioeconomic, food, natural heritage conservation, and environmental management aspects in order to obtain an accurate profile of the national panorama and to propose sample subgroups. For this purpose, 252 beef cattle farms in Spain were examined in detail, and the external logistic biplot (ELB) was used with a multivariate approach and from an algebraic and computational perspective. By addressing aspects such as infrastructure, feeding strategies, waste management, biodiversity, productivity, and sustainability, similarities and differences between cattle farms have been obtained, providing an analytical tool for the livestock sector and generating key knowledge on its functioning and contributions to society and the environment. The analysis revealed accuracy in the zootechnical classification of livestock farms, their feeding strategies, and genetics. Finally, significant regional differences in prevailing livestock practices were identified.

Keywords: multivariate statistics; external logistic biplot; data analysis; livestock production models; meat industry (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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