How Corporations Deal with Reporting Sustainability: Assessment Using the Multicriteria Logistic Biplot Approach

  1. Vicente Galindo, Purificación 1
  2. Vaz, Eric 2
  3. de Noronha, Teresa 3
  1. 1 Department of Statistics, University of Salamanca, Campus Miguel Unamuno, Universidad deSalamanca, 37007, Salamanca, Spain
  2. 2 Department of Geography, Ryerson University, 350 Victoria Street, Toronto, ON M5B 0A1,Canada
  3. 3 Faculty of Economics, and CIEO, University of the Algarve, 8000, Faro, Portugal
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Revista:
Systems

ISSN: 2079-8954

Año de publicación: 2015

Volumen: 3

Número: 1

Páginas: 6-26

Tipo: Artículo

DOI: 10.3390/SYSTEMS3010006 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Systems

Resumen

This paper suggests a new methodology capable of accessing in detail thecontribution of companies to countries’ sustainability related to economic performance.The concept of sustainability has been brought up in several debates, leading to a clearerunderstanding of its progress in recent decades. The most adequate indicators to achieve aunique value to define sustainability have been identified. However, specific behaviors ofeconomic agents such as exist in particularly large organizations, have rarely been exposedand evaluated regarding their positive or negative contribution to the increase ofsustainability throughout the world. This paper proposes an integrated approach incorporatingan evaluation of the positive and negative contributions to sustainability by means of alogistic biplot application. This allows the creation of a summarized index that combinesall single sustainability indicators. These synthetic indices allow the positioning of each ofthe companies in a geometric representation for an original exploration of the sustainabilityparadigm. The supplied method permits accessing and evaluating information concerningspecific behaviors of economic agents such as big companies. In our paper, we havefollowed the engagements towards sustainability of big corporations, individually or asgroups, across the different activity sectors in Portugal and Spain.

Referencias bibliográficas

  • Alazzani, A.; Wan-Hussin, W.N. Global reporting initiative’s environmental reporting: A study of oil and gas companies. Ecol. Indic. 2013, 32, 19–24.
  • Brown, H.S.; de Jong, M.; Levy, D.L. Building institutions based on information disclosure: Lessons from GRI’s sustainability reporting. J. Clean. Prod. 2009, 17, 571–580.
  • Demey, J.R.; Vicente-Villardón, J.L.; Galindo, M.P.; Zambrano, A.Y. Identifying molecular markers associated with classifications of genotypes by external logistic biplot. Bioinformatics 2008, 24, 28–32.
  • Galindo, P.V.; Vaz, T.N.; Nijkamp, P. Institutional capacity to dynamically innovate: An application to the Portuguese case. Technol. Forecast. Soc. Change 2010, 78, 3–12.
  • Gallego-Álvarez, I.; Vicente-Villardón, J.L. Analysis of environmental indicators in international companies by applying the logistic biplot. Ecol. Indic. 2012, 23, 250–261.
  • Ghisetti, C.; Quatrato, F. Beyond inducement in climate change: Does environmental performance spur environmental technologies? A regional analysis of cross-sectoral differences. Ecol. Econ. 2013, 96, 99–113.
  • Global Reporting Initiative. Available online: http://www.globalreporting.org (accessed on 12 November 2014).
  • Global Reporting Initiative. Sustainable Reporting Guidelines. 2006. Available online: http://www.globalreporting.org (accessed on 4 November 2014).
  • Global Reporting Initiative. What is GIR. Available online: https://www.globalreporting.org/ information/about-gri/what-is-GRI/Pages/default.aspx (accessed on 20 December 2014).
  • Gower, J. A general coefficient of similarity and some of its properties. Biometric 1971, 27, 857–874.
  • Holling, C.S. Adaptative Environmental Assessment and Management; Wilrey: London, UK, 1978.
  • Marimon, F.; Alonso-Almeida, M.M.; Rodriguez, M.P.; Cortez, C.A. The worldwide diffusion of the global reporting initiative: What is the point? J. Clean. Prod. 2012, 33, 132–144.
  • METADATA—Statistical Classification of Economic Activities in the European Community, Rev. 2 (2008). Available online: http://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?Target Url=LST_NOM_DTL&StrNom=NACE_REV2&StrLanguageCode=EN (accessed on 12 November 2014).
  • Mitchell, G.; May, A.; McDonald, A. PICABUE: A methodological framework for the development of indicators of sustainable development. Int. J. Sustain. Dev. World Ecol. 1995, 2, 104–123.
  • Molden B.; Janoušková, S.; Hák, T. How to understand and measure environmental sustainability: Indicators and targets. Ecol. Indic. 2012, 17, 4–13.
  • MultiBiplot—Multivariate Analysis using Biplots. Available online: http://biplot.usal.es/ ClassicalBiplot/index.html (accessed on 12 November 2014).
  • Noronha Vaz, T.; Galindo, P.V.; Vaz, E.; Nijkamp, P. Innovative firms behind the regions: Analysis of regional innovation performance in Portugal by external logistic biplots. Eur. Urban Reg. Stud. 2013, doi:10.1177/0969776412474675.
  • Perez-Batres, L.A.; Miller, V.V.; Pisani, M.J. CSR, sustainability and the meaning of global reporting for Latin American corporations. J. Bus. Ethics 2010, 91, 193–209.
  • Shields, D.J.; Šolarb, S.V.; Martin, W.E. The role of values and objectives in communicating indicators of sustainability. Ecol. Indic. 2002, 2, 149–160.
  • Spangenberg, J.H.; Pfahl, S.; Deller, K. Towards indicators for institutional sustainability: Lessons from an analysis of Agenda 21. Ecol. Indic. 2002, 2, 61–77.
  • Vaz, E.; Noronha, T.; Vicente-Galindo, P.; Nijkamp, P. Modelling innovation support systems for regional development—Analysis of cluster structures in innovation in Portugal. Entrepren. Reg. Dev. 2014, 26, 23–46.
  • Vaz, E.; Walczynska, A.; Nijkamp, P. Regional challenges in tourist wetland systems: An integrated approach to the Ria Formosa in the Algarve, Portugal, 2013. Reg. Environ. Change 2013, 13, 33–42.
  • Vicente-Villardon, J.L.; Galindo-Villardon, M.P.; Blazquez-Zaballos, A. Logistic Biplots. In Multiple Correspondence Analysis and Related Methods; Greenacre, M., Blasius, J., Eds.; Statistics in Social and Behavioral Sciences Series: Boca Raton, FL, USA, 2006; pp. 503–521.