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The use of financial and sustainability ratios to map a sector. An approach using compositional data

Author

Listed:
  • Elena Rond'os-Casas

    (University of Girona)

  • Germ`a Coenders

    (University of Girona)

  • Miquel Carreras-Sim'o

    (University of Girona)

  • N'uria Arimany-Serrat

    (University of Vic-Central University of Catalonia)

Abstract

Purpose: The article aims to visualise in a single graph fish and meat processing company groups in Spain with respect to long-term solvency, energy, waste and water intensity and gender employment gap. Design/methodology/approach: The selected financial, environmental and social indicators are ratios, which require specific statistical analysis methods to prevent severe skewness and outliers. We use the compositional data methodology and the principal-component analysis biplot. Findings: Fish-processing companies have more homogeneous financial, environmental and social performance than their meat-processing counterparts. Specific company groups in both sectors can be identified as poor performers in some of the indicators. Firms with higher solvency tend to be less efficient in energy and water use. Two clusters of company groups with similar performances are identified. Research limitations/implications: As of now, few firms publish reports according to the EU Corporate Sustainability Reporting Directive. In future research larger samples will be available. Social Implications: Firm groups can visually see their areas of improvement in their financial, environmental and social performance compared to their competitors in the sector. Originality/value: This is the first time in which visualization tools have combined financial, environmental and social indicators. All individual firms can be visually ordered along all indicators simultaneously.

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  • Elena Rond'os-Casas & Germ`a Coenders & Miquel Carreras-Sim'o & N'uria Arimany-Serrat, 2025. "The use of financial and sustainability ratios to map a sector. An approach using compositional data," Papers 2509.06468, arXiv.org.
    • Handle: RePEc:arx:papers:2509.06468
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    1. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 38, pages 1-41.
    2. Elisabete Nogueira & Sofia Gomes & João M. Lopes, 2023. "Triple Bottom Line, Sustainability, and Economic Development: What Binds Them Together? A Bibliometric Approach," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    3. Sullivan, Joe H. & Warkentin, Merrill & Wallace, Linda, 2021. "So many ways for assessing outliers: What really works and does it matter?," Journal of Business Research, Elsevier, vol. 132(C), pages 530-543.
    4. José Willer Prado & Valderí Castro Alcântara & Francisval Melo Carvalho & Kelly Carvalho Vieira & Luiz Kennedy Cruz Machado & Dany Flávio Tonelli, 2016. "Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1007-1029, March.
    5. Dimitras, A. I. & Slowinski, R. & Susmaga, R. & Zopounidis, C., 1999. "Business failure prediction using rough sets," European Journal of Operational Research, Elsevier, vol. 114(2), pages 263-280, April.
    6. Zixuan Qin & Abeer Hassan & Mahalaxmi Adhikariparajuli, 2022. "Direct and Indirect Implications of the COVID-19 Pandemic on Amazon’s Financial Situation," JRFM, MDPI, vol. 15(9), pages 1-25, September.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 4, pages 71-111.
    8. Mattia Iotti & Giovanni Ferri & Elisa Manghi & Alberto Calugi & Giuseppe Bonazzi, 2024. "Sustainability Assessment of the Performance of Parmigiano Reggiano PDO Firms: A Comparative Analysis of Firms’ Legal Form and Altitude Range," Sustainability, MDPI, vol. 16(20), pages 1-41, October.
    9. Martikainen, Teppo & Perttunen, Jukka & Yli-Olli, Paavo & Gunasekaran, A., 1995. "Financial ratio distribution irregularities: Implications for ratio classification," European Journal of Operational Research, Elsevier, vol. 80(1), pages 34-44, January.
    10. Ilker Yilmaz, 2022. "ESG-Based Sustainability Performance and its Impact on Cost of Capital: International Evidence from the Energy Sector," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 12(2), pages 21-30.
    11. Carlos J.O. Trejo-Pech & Karen L. DeLong & Robert Johansson, 2023. "How does the financial performance of sugar-using firms compare to other agribusinesses? An accounting and economic profit rates analysis," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 83(3), pages 453-477, April.
    12. Constantin Zopounidis & Michael Doumpos, 1999. "Business failure prediction using the UTADIS multicriteria analysis method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(11), pages 1138-1148, November.
    13. Stephen A. Hillegeist & Elizabeth K. Keating & Donald P. Cram & Kyle G. Lundstedt, 2004. "Assessing the Probability of Bankruptcy," Review of Accounting Studies, Springer, vol. 9(1), pages 5-34, March.
    14. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    15. Carlos Anguiano-Santos & Macario Rodríguez-Entrena, 2024. "Sustainability reporting in focus: analysing Spanish transposition of the Non-Financial Reporting European Directive in the agri-food sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-16, December.
    16. Gregory D. Kane & Frederick M. Richardson & Nancy L. Meade, 1998. "Rank Transformations and the Prediction of Corporate Failure," Contemporary Accounting Research, John Wiley & Sons, vol. 15(2), pages 145-166, June.
    17. Mattia Iotti & Elisa Manghi & Giuseppe Bonazzi, 2024. "Debt Sustainability Assessment in the Biogas Sector: Application of Interest Coverage Ratios in a Sample of Agricultural Firms in Italy," Energies, MDPI, vol. 17(6), pages 1-34, March.
    18. Noelia Romero Castro & Juan Piñeiro Chousa, 2006. "An integrated framework for the financial analysis of sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 15(5), pages 322-333, September.
    19. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 4, pages 123-127.
    20. Doron Nissim & Stephen H. Penman, 2001. "Ratio Analysis and Equity Valuation: From Research to Practice," Review of Accounting Studies, Springer, vol. 6(1), pages 109-154, March.
    21. Svante Andersson & Göran Svensson & Francisco‐Jose Molina‐Castillo & Carmen Otero‐Neira & John Lindgren & Niklas P. E. Karlsson & Hélène Laurell, 2022. "Sustainable development—Direct and indirect effects between economic, social, and environmental dimensions in business practices," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1158-1172, September.
    22. Qiongjie Kou & Quanyou Zhang & Laiqun Xu & Yaohui Li & Yong Feng & Huiting Wei, 2022. "Mobile Learning Strategy Based on Principal Component Analysis," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global Scientific Publishing, vol. 14(3), pages 1-12, July.
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