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

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  • Saudi-Yulieth Enciso-Alfaro

    (IME-Instituto Multidisciplinar de Empresa, Departamento de Administración y Economía de la Empresa, Universidad de Salamanca, 37007 Salamanca, Spain)

  • Víctor Amor-Esteban

    (Departamento de Estadística, Universidad de Salamanca, 37008 Salamanca, Spain)

  • Tânia-Cristina Azevedo

    (Departamento de Ciências Sociais Aplicadas, Universidade Estadual de Feira de Santana (UEFS), Salvador 44036-900, Bahia, Brazil)

  • Isabel-María García-Sánchez

    (IME-Instituto Multidisciplinar de Empresa, Departamento de Administración y Economía de la Empresa, Universidad de Salamanca, 37007 Salamanca, Spain)

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 (CO 2 ) 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.

Suggested Citation

  • Saudi-Yulieth Enciso-Alfaro & Víctor Amor-Esteban & Tânia-Cristina Azevedo & Isabel-María García-Sánchez, 2023. "Multivariate Analysis of Clean Technologies in Agricultural and Livestock Companies in Castilla y León," Agriculture, MDPI, vol. 13(11), pages 1-25, November.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:11:p:2087-:d:1272801
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    1. Farhana Bibi & Azizur Rahman, 2023. "An Overview of Climate Change Impacts on Agriculture and Their Mitigation Strategies," Agriculture, MDPI, vol. 13(8), pages 1-15, July.
    2. Michel Tenenhaus & Forrest Young, 1985. "An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 91-119, March.
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