ESG and financial performance via uncertain mining technology: do Multilatinas contribute to the sustainability of the region?

Authors

  • Carlos Alexander Grajales University of Antioquia, Medellin, Colombia
  • Katherine Albanes Uribe University of Antioquia, Medellin, Colombia

Keywords:

Uncertainty theory, Uncertain mining, ESG scores, Sustainability, Financial performance

Abstract

Purpose

This paper proposes a methodology based on an uncertain mining technology that identifies the linguistic relationships of ESG and its components with a financial performance metric to help the sustainability diagnosis of a region, specifically Latin America.

Design/methodology/approach

First, based on a relevant dataset of companies in a region, a procedure is formulated whereby an uncertain mining technology extracts the mathematically significant linguistic relationships of ESG and its components with a financial performance metric. Second, a knowledge management process is designed based on the linguistic summaries obtained from the mining process. As a final step and drawing upon the two preceding processes, a diagrammatic system of signals is proposed for diagnosing the sustainability of the region as contributed by its companies.

Findings

After this methodology is instantiated on a group of Multilatinas, it is observed that their sustainability contributions to the region are limited and that none of the identified linguistic relationships between ESG and the financial performance metric are favorable for the region.

Originality/value

This is the first proposal of its kind and it can be applied to any region of the world to assess the financial performance of its companies regarding their ESG commitments. In addition, it enables the region to comprehensively monitor compliance with the 2030 SDG agenda.

DOI: https://doi.org/10.1108/JEFAS-02-2024-0040

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References

Albanés, K. (2022), Caracterización de la Relación entre Divulgación ESG y Desempeño Financiero en Multilatinas: Un Estudio desde la Perspectiva HJ-Biplot y Resúmenes Lingüísticos Inciertos [Trabajo de Grado de Maestría], available at: https://bibliotecadigital.udea.edu.co/handle/10495/32380

Aldowaish, A., Kokuryo, J., Almazyad, O. and Goi, H.C. (2022), “Environmental, social, and governance integration into the business model: literature review and research agenda”, Sustainability, Vol. 14 No. 5, p. 2959, doi: 10.3390/su14052959.

Chen, X. and Ralescu, D.A. (2011), “A note on truth value in uncertain logic”, Expert Systems with Applications, Vol. 38 No. 12, pp. 15582-15586, doi: 10.1016/j.eswa.2011.05.030.

De Lucia, C., Pazienza, P. and Bartlett, M. (2020), “Does good ESG lead to better financial performances by firms? Machine learning and logistic regression models of public enterprises in Europe”, Sustainability (Switzerland), Vol. 12 No. 13, pp. 1-26, doi: 10.3390/su12135317.

Duque-Grisales, E. and Aguilera-Caracuel, J. (2021), “Environmental, social and governance (ESG) scores and financial performance of Multilatinas: moderating effects of geographic international diversification and financial slack”, Journal of Business Ethics, Vol. 168 No. 2, pp. 315-334, doi: 10.1007/s10551-019-04177-w.

D’Amato, V., D’Ecclesia, R. and Levantesi, S. (2021), “Fundamental ratios as predictors of ESG scores: a machine learning approach”, Decisions in Economics and Finance, Vol. 44 No. 2, pp. 1087-1110, doi: 10.1007/s10203-021-00364-5.

Escrig-Olmedo, E., Fernández-Izquierdo, M., Ferrero-Ferrero, I., Rivera-Lirio, J.M. and Muñoz-Torres, M.J. (2019), “Rating the raters: evaluating how ESG rating agencies integrate sustainability principles”, Sustainability (Switzerland), Vol. 11 No. 3, p. 915, doi: 10.3390/su11030915.

Friede, G., Busch, T. and Bassen, A. (2015), “ESG and financial performance: aggregated evidence from more than 2000 empirical studies”, Journal of Sustainable Finance and Investment, Vol. 5 No. 4, pp. 210-233, doi: 10.1080/20430795.2015.1118917.

Galema, R., Plantinga, A. and Scholtens, B. (2008), “The stocks at stake: return and risk in socially responsible investment”, Journal of Banking and Finance, Vol. 32 No. 12, pp. 2646-2654, doi: 10.1016/j.jbankfin.2008.06.002.

Grajales, C. and Medina, S. (2021), “Uncertainty linguistic summarizer to evaluate the performance of investment funds”, in New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques, Springer Verlag, pp. 55-74.

Gupta, A., Sharma, U. and Gupta, S.K. (2021), “The role of ESG in sustainable development: an analysis through the lens of machine learning”, 2021 IEEE International Humanitarian Technology Conference (IHTC), pp. 1-5, doi: 10.1109/ihtc53077.2021.9698939.

Horváthová, E. (2010), “Does environmental performance affect financial performance? A meta- Analysis”, Ecological Economics, Vol. 70 No. 1, pp. 52-59, doi: 10.1016/j.ecolecon.2010.04.004.

Hughes, A., Urban, M.A. and Wójcik, D. (2021), “Alternative ESG ratings: how technological innovation is reshaping sustainable investment”, Sustainability (Switzerland), Vol. 13 No. 6, p. 3551, doi: 10.3390/su13063551.

Kolmogorov, A.N. (1933), Grundbegriffe Der Wahrscheinlichkeitsrechnung, Julius Springer, Berlin.

Lee, D.D., Faff, R.W. and Langfield-Smith, K. (2009), “Revisiting the vexing question: does superior corporate social performance lead to improved financial performance?”, Australian Journal of Management, Vol. 34 No. 1, pp. 21-49, doi: 10.1177/031289620903400103.

Liu, B. (2007), Uncertainty Theory, 2nd ed., Springer-Verlag Berlin Heidelberg, Berlin.

Liu, B. (2010a), Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty, Springer Verlag, Berlin.

Liu, B. (2010b), “Uncertain set theory and uncertain inference rule with application to uncertain control”, Journal of Uncertain Systems, Vol. 4, pp. 83-98.

Liu, B. (2011), “Uncertain logic for modeling human language”, Journal of Uncertain Systems, Vol. 5 No. 1, pp. 3-20.

Liu, B. (2012), “Membership functions and operational law of uncertain sets”, Fuzzy Optimization and Decision Making, Vol. 11 No. 4, pp. 387-410, doi: 10.1007/s10700-012-9128-7.

Liu, B. (2018), “Totally ordered uncertain sets”, Fuzzy Optimization and Decision Making, Vol. 17 No. 1, pp. 1-11, doi: 10.1007/s10700-016-9264-6.

Liu, Y. and Yao, K. (2017), “Uncertain random logic and uncertain random entailment”, Journal of Ambient Intelligence and Humanized Computing, Vol. 8 No. 5, pp. 695-706, doi: 10.1007/s12652-017-0465-9.

Saxena, A., Singh, R., Gehlot, A., Akram, S.V., Twala, B., Singh, A., Montero, E.C. and Priyadarshi, N. (2023), “Technologies empowered environmental, social, and governance (ESG): an industry 4.0 landscape”, Sustainability (Switzerland), Vol. 15 No. 1, p. 309, doi: 10.3390/su15010309.

Sharma, U., Gupta, A. and Gupta, S.K. (2022), “The pertinence of incorporating ESG ratings to make investment decisions: a quantitative analysis using machine learning”, Journal of Sustainable Finance and Investment, Vol. 0 No. 0, pp. 1-15, doi: 10.1080/20430795.2021.2013151.

Shmatov, C. and Castelli, C. (2023), Quantitative Methods for ESG Finance, Wiley, NJ.

The Global Compact (2004), “Who cares wins: connecting financial markets to a changing world”.

United Nations (2015), “Transforming our world: the 2030 agenda for sustainable development”.

Vila, J. (2022), “Economía en el Cambio Climático - Hoja de Ruta Hacia La Sociedad Frugal”, Icaria Editorial.

Xie, J., Nozawa, W., Yagi, M., Fujii, H. and Managi, S. (2019), “Do environmental, social, and governance activities improve corporate financial performance?”, Business Strategy and the Environment, Vol. 28 No. 2, pp. 286-300, doi: 10.1002/bse.2224.

Zadeh, L.A. (1978), “Fuzzy sets as a basis for a theory of possibility”, Fuzzy Sets and Systems, Vol. 1 No. 1, pp. 3-28, doi: 10.1016/0165-0114(78)90029-5.

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Published

2024-10-10

How to Cite

Grajales, C. A., & Albanes Uribe, K. (2024). ESG and financial performance via uncertain mining technology: do Multilatinas contribute to the sustainability of the region?. Journal of Economics, Finance and Administrative Science, 29(58), 366–386. Retrieved from https://revistas.esan.edu.pe/index.php/jefas/article/view/773