IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i11p2087-d1272801.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/11/2087/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/11/2087/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mariela González-Narváez & María José Fernández-Gómez & Susana Mendes & José-Luis Molina & Omar Ruiz-Barzola & Purificación Galindo-Villardón, 2021. "Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    2. Gardner, Sugnet & Gower, John C. & le Roux, N.J., 2006. "A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 107-134, January.
    3. Patricio Vladimir Méndez-Zambrano & Luis Patricio Tierra Pérez & Rogelio Estalin Ureta Valdez & Ángel Patricio Flores Orozco, 2023. "Technological Innovations for Agricultural Production from an Environmental Perspective: A Review," Sustainability, MDPI, vol. 15(22), pages 1-15, November.
    4. Naomichi Makino, 2015. "Generalized data-fitting factor analysis with multiple quantification of categorical variables," Computational Statistics, Springer, vol. 30(1), pages 279-292, March.
    5. K. Fernández-Aguirre & M. Garín-Martín & J. Modroño-Herrán, 2014. "Visual displays: analytical study and applications to graphs and real data," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2209-2224, July.
    6. Takayuki Saito & Tatsuo Otsu, 1988. "A method of optimal scaling for multivariate ordinal data and its extensions," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 5-25, March.
    7. Vartan Choulakian, 1988. "Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 235-250, June.
    8. Antonello D’Ambra & Pietro Amenta & Anna Crisci & Antonio Lucadamo, 2022. "The generalized Taguchi’s statistic: a passenger satisfaction evaluation," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 41-60, April.
    9. Núñez-Serrano, Juan A. & Turrión, Jaime & Velázquez, Francisco J., 2014. "Are stars a good indicator of hotel quality? Assymetric information and regulatory heterogeneity in Spain," Tourism Management, Elsevier, vol. 42(C), pages 77-87.
    10. Michailidis, George & de Leeuw, Jan, 2000. "Multilevel homogeneity analysis with differential weighting," Computational Statistics & Data Analysis, Elsevier, vol. 32(3-4), pages 411-442, January.
    11. Thioulouse, Jean & Chevenet, Francois, 1996. "NetMul, a World-Wide Web user interface for multivariate analysis software," Computational Statistics & Data Analysis, Elsevier, vol. 21(3), pages 369-372, March.
    12. Jisu Yoon & Stephan Klasen, 2018. "An Application of Partial Least Squares to the Construction of the Social Institutions and Gender Index (SIGI) and the Corruption Perception Index (CPI)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 61-88, July.
    13. Obradović, Tena & Vlačić, Božidar & Dabić, Marina, 2021. "Open innovation in the manufacturing industry: A review and research agenda," Technovation, Elsevier, vol. 102(C).
    14. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
    15. Jan Leeuw, 1988. "Multivariate analysis with linearizable regressions," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 437-454, December.
    16. Miriam Kizeková & Radoslava Kanianska & Ľubica Jančová & Jozef Čunderlík & Zuzana Dugátová, 2024. "Carbon and Nitrogen Stocks in Agricultural Soils under Different Natural Conditions and Management in Slovakia," Land, MDPI, vol. 13(2), pages 1-17, February.
    17. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.
    18. Helena Lopes & Teresa Calapez, 2011. "Exploring the sources and benefits of cooperation," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(7), pages 607-627, June.
    19. repec:jss:jstsof:22:i04 is not listed on IDEAS
    20. Frank Critchley & Lawrence Jones & Hubert Feger & Tapas Sen & David Swofford & Arthur Kendall & Frank Critchley & William Day & Gilbert Saporta & George Estabrook & John Sonquist & Charles Jones, 1986. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 3(1), pages 135-173, March.
    21. Harvey Goldstein, 1987. "The choice of constraints in correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(2), pages 207-215, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:11:p:2087-:d:1272801. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.